Path: blob/master/logs/CIFAR10/CRGAN(C)-train-2020_12_04_13_51_40.log
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[INFO] 2020-12-04 13:51:40 > Run name : CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 13:51:40 > {'config_path': './src/configs/CIFAR10/CRGAN(C).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, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'test'}
[INFO] 2020-12-04 13:51:40 > {'data_processing': {'dataset_name': 'cifar10', 'data_path': './data/cifar10', 'img_size': 32, 'num_classes': 10, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'ContraGAN', 'pos_collected_numerator': True, 'hypersphere_dim': 512, 'nonlinear_embed': False, 'normalize_embed': True, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 2, 'attention_after_nth_dis_block': 1, 'z_dim': 80, 'shared_dim': 128, 'g_conv_dim': 96, 'd_conv_dim': 96, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 64, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 0.0002, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.5, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 5, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 1.0, 'margin': 0.0, 'tempering_type': 'constant', 'tempering_step': 'N/A', 'start_temperature': 1.0, 'end_temperature': 1.0, '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': True, 'cr_lambda': 10.0, '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': True, 'ema_decay': 0.9999, 'ema_start': 1000}}}
[INFO] 2020-12-04 13:51:40 > Load train datasets...
[INFO] 2020-12-04 13:51:40 > Train dataset size : 50000
[INFO] 2020-12-04 13:51:40 > Load test datasets...
[INFO] 2020-12-04 13:51:41 > Eval dataset size : 10000
[INFO] 2020-12-04 13:51:41 > Build model...
[INFO] 2020-12-04 13:51:41 > Modules are located on models.big_resnet.
[INFO] 2020-12-04 13:51:44 > Prepare EMA for G with decay of 0.9999.
[INFO] 2020-12-04 13:51:44 > Number of parameters: 9416196
[INFO] 2020-12-04 13:51:44 > Generator(
(linear0): Linear(in_features=20, out_features=6144, bias=True)
(shared): Embedding(10, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(192, 384, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(384, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2020-12-04 13:51:44 > Number of parameters: 2517186
[INFO] 2020-12-04 13:51:44 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=192, out_features=1, bias=True)
(linear2): Linear(in_features=192, out_features=512, bias=True)
(embedding): Embedding(10, 512)
)
[INFO] 2020-12-04 13:51:47 > Start training....
[INFO] 2020-12-04 13:52:54 > Step: 100 Progress: 0.1% Elapsed: 0:01:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.61266 Generator_loss: 2.83903
[INFO] 2020-12-04 13:54:22 > Step: 200 Progress: 0.2% Elapsed: 0:02:34 temperature: 1.0 ada_p: No Discriminator_loss: 3.0816 Generator_loss: 2.47228
[INFO] 2020-12-04 13:56:07 > Step: 300 Progress: 0.3% Elapsed: 0:04:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.81504 Generator_loss: 1.61785
[INFO] 2020-12-04 13:57:52 > Step: 400 Progress: 0.4% Elapsed: 0:06:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.29277 Generator_loss: 2.05216
[INFO] 2020-12-04 13:59:37 > Step: 500 Progress: 0.5% Elapsed: 0:07:49 temperature: 1.0 ada_p: No Discriminator_loss: 3.31722 Generator_loss: 2.34561
[INFO] 2020-12-04 14:01:21 > Step: 600 Progress: 0.6% Elapsed: 0:09:33 temperature: 1.0 ada_p: No Discriminator_loss: 3.36897 Generator_loss: 1.93428
[INFO] 2020-12-04 14:03:02 > Step: 700 Progress: 0.7% Elapsed: 0:11:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.29423 Generator_loss: 2.14421
[INFO] 2020-12-04 14:04:47 > Step: 800 Progress: 0.8% Elapsed: 0:12:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.27373 Generator_loss: 1.93987
[INFO] 2020-12-04 14:06:29 > Step: 900 Progress: 0.9% Elapsed: 0:14:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.14709 Generator_loss: 2.69078
[INFO] 2020-12-04 14:08:12 > Step: 1000 Progress: 1.0% Elapsed: 0:16:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.5093 Generator_loss: 1.61549
[INFO] 2020-12-04 14:10:01 > Step: 1100 Progress: 1.1% Elapsed: 0:18:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.28715 Generator_loss: 2.84139
[INFO] 2020-12-04 14:11:46 > Step: 1200 Progress: 1.2% Elapsed: 0:19:58 temperature: 1.0 ada_p: No Discriminator_loss: 3.30635 Generator_loss: 1.86608
[INFO] 2020-12-04 14:13:30 > Step: 1300 Progress: 1.3% Elapsed: 0:21:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.98762 Generator_loss: 2.12605
[INFO] 2020-12-04 14:15:12 > Step: 1400 Progress: 1.4% Elapsed: 0:23:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.87851 Generator_loss: 3.0074
[INFO] 2020-12-04 14:16:54 > Step: 1500 Progress: 1.5% Elapsed: 0:25:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.10743 Generator_loss: 2.34825
[INFO] 2020-12-04 14:18:35 > Step: 1600 Progress: 1.6% Elapsed: 0:26:47 temperature: 1.0 ada_p: No Discriminator_loss: 3.30748 Generator_loss: 1.61177
[INFO] 2020-12-04 14:20:12 > Step: 1700 Progress: 1.7% Elapsed: 0:28:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.08753 Generator_loss: 1.87163
[INFO] 2020-12-04 14:21:53 > Step: 1800 Progress: 1.8% Elapsed: 0:30:05 temperature: 1.0 ada_p: No Discriminator_loss: 3.22356 Generator_loss: 1.66046
[INFO] 2020-12-04 14:23:34 > Step: 1900 Progress: 1.9% Elapsed: 0:31:46 temperature: 1.0 ada_p: No Discriminator_loss: 3.25499 Generator_loss: 1.96299
[INFO] 2020-12-04 14:25:16 > Step: 2000 Progress: 2.0% Elapsed: 0:33:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.17622 Generator_loss: 1.923
[INFO] 2020-12-04 14:25:16 > Start Evaluation (2000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 14:25:16 > Calculating FID Score....
[INFO] 2020-12-04 14:25:59 > Calculating Inception Score....
[INFO] 2020-12-04 14:26:18 > Calculate F_beta Score....
[INFO] 2020-12-04 14:27:32 > Calculate Accuracies....
[INFO] 2020-12-04 14:27:41 > Calculate Accuracies....
[INFO] 2020-12-04 14:27:44 > F_8 score (Step: 2000, Using test images): 0.7365368051453914
[INFO] 2020-12-04 14:27:44 > F_1/8 score (Step: 2000, Using test images): 0.8651845636276553
[INFO] 2020-12-04 14:27:44 > FID score (Step: 2000, Using test moments): 51.31893199079275
[INFO] 2020-12-04 14:27:44 > Inception score (Step: 2000, 10000 generated images): 6.0265302658081055
[INFO] 2020-12-04 14:27:44 > Best FID score (Step: 2000, Using test moments): 51.31893199079275
[INFO] 2020-12-04 14:27:45 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 14:29:15 > Step: 2100 Progress: 2.1% Elapsed: 0:37:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.27187 Generator_loss: 1.64134
[INFO] 2020-12-04 14:30:56 > Step: 2200 Progress: 2.2% Elapsed: 0:39:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.29863 Generator_loss: 1.74092
[INFO] 2020-12-04 14:32:42 > Step: 2300 Progress: 2.3% Elapsed: 0:40:54 temperature: 1.0 ada_p: No Discriminator_loss: 3.54845 Generator_loss: 1.00023
[INFO] 2020-12-04 14:34:28 > Step: 2400 Progress: 2.4% Elapsed: 0:42:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.94852 Generator_loss: 2.47455
[INFO] 2020-12-04 14:36:13 > Step: 2500 Progress: 2.5% Elapsed: 0:44:25 temperature: 1.0 ada_p: No Discriminator_loss: 3.20157 Generator_loss: 1.78894
[INFO] 2020-12-04 14:37:59 > Step: 2600 Progress: 2.6% Elapsed: 0:46:11 temperature: 1.0 ada_p: No Discriminator_loss: 3.09132 Generator_loss: 2.04954
[INFO] 2020-12-04 14:39:36 > Step: 2700 Progress: 2.7% Elapsed: 0:47:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.7586 Generator_loss: 2.17607
[INFO] 2020-12-04 14:41:16 > Step: 2800 Progress: 2.8% Elapsed: 0:49:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.10369 Generator_loss: 1.90213
[INFO] 2020-12-04 14:42:58 > Step: 2900 Progress: 2.9% Elapsed: 0:51:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.37011 Generator_loss: 1.463
[INFO] 2020-12-04 14:44:38 > Step: 3000 Progress: 3.0% Elapsed: 0:52:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.19605 Generator_loss: 1.49669
[INFO] 2020-12-04 14:46:23 > Step: 3100 Progress: 3.1% Elapsed: 0:54:35 temperature: 1.0 ada_p: No Discriminator_loss: 3.14564 Generator_loss: 1.43555
[INFO] 2020-12-04 14:48:11 > Step: 3200 Progress: 3.2% Elapsed: 0:56:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.06824 Generator_loss: 2.21058
[INFO] 2020-12-04 14:49:55 > Step: 3300 Progress: 3.3% Elapsed: 0:58:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.2097 Generator_loss: 1.7005
[INFO] 2020-12-04 14:51:38 > Step: 3400 Progress: 3.4% Elapsed: 0:59:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.29894 Generator_loss: 2.08171
[INFO] 2020-12-04 14:53:24 > Step: 3500 Progress: 3.5% Elapsed: 1:01:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.04401 Generator_loss: 1.91932
[INFO] 2020-12-04 14:55:08 > Step: 3600 Progress: 3.6% Elapsed: 1:03:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.17703 Generator_loss: 1.71693
[INFO] 2020-12-04 14:56:51 > Step: 3700 Progress: 3.7% Elapsed: 1:05:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.00045 Generator_loss: 1.96604
[INFO] 2020-12-04 14:58:29 > Step: 3800 Progress: 3.8% Elapsed: 1:06:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.76752 Generator_loss: 2.59647
[INFO] 2020-12-04 14:59:58 > Step: 3900 Progress: 3.9% Elapsed: 1:08:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.02285 Generator_loss: 2.18556
[INFO] 2020-12-04 15:01:31 > Step: 4000 Progress: 4.0% Elapsed: 1:09:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.04729 Generator_loss: 1.56884
[INFO] 2020-12-04 15:01:31 > Start Evaluation (4000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 15:01:31 > Calculating FID Score....
[INFO] 2020-12-04 15:02:10 > Calculating Inception Score....
[INFO] 2020-12-04 15:02:30 > Calculate F_beta Score....
[INFO] 2020-12-04 15:03:35 > Calculate Accuracies....
[INFO] 2020-12-04 15:03:44 > Calculate Accuracies....
[INFO] 2020-12-04 15:03:46 > F_8 score (Step: 4000, Using test images): 0.7751392593410111
[INFO] 2020-12-04 15:03:46 > F_1/8 score (Step: 4000, Using test images): 0.8827265738466906
[INFO] 2020-12-04 15:03:46 > FID score (Step: 4000, Using test moments): 46.84423194866406
[INFO] 2020-12-04 15:03:46 > Inception score (Step: 4000, 10000 generated images): 6.492654323577881
[INFO] 2020-12-04 15:03:46 > Best FID score (Step: 4000, Using test moments): 46.84423194866406
[INFO] 2020-12-04 15:03:48 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 15:05:20 > Step: 4100 Progress: 4.1% Elapsed: 1:13:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.8773 Generator_loss: 1.8192
[INFO] 2020-12-04 15:07:02 > Step: 4200 Progress: 4.2% Elapsed: 1:15:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.76341 Generator_loss: 1.74039
[INFO] 2020-12-04 15:08:43 > Step: 4300 Progress: 4.3% Elapsed: 1:16:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.88155 Generator_loss: 1.78047
[INFO] 2020-12-04 15:10:26 > Step: 4400 Progress: 4.4% Elapsed: 1:18:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.90538 Generator_loss: 1.56753
[INFO] 2020-12-04 15:12:10 > Step: 4500 Progress: 4.5% Elapsed: 1:20:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.82835 Generator_loss: 2.10275
[INFO] 2020-12-04 15:13:50 > Step: 4600 Progress: 4.6% Elapsed: 1:22:02 temperature: 1.0 ada_p: No Discriminator_loss: 3.17183 Generator_loss: 2.27084
[INFO] 2020-12-04 15:15:30 > Step: 4700 Progress: 4.7% Elapsed: 1:23:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.84536 Generator_loss: 2.4797
[INFO] 2020-12-04 15:17:14 > Step: 4800 Progress: 4.8% Elapsed: 1:25:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.99034 Generator_loss: 1.80494
[INFO] 2020-12-04 15:18:53 > Step: 4900 Progress: 4.9% Elapsed: 1:27:05 temperature: 1.0 ada_p: No Discriminator_loss: 3.09739 Generator_loss: 2.0608
[INFO] 2020-12-04 15:20:37 > Step: 5000 Progress: 5.0% Elapsed: 1:28:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.88798 Generator_loss: 1.25858
[INFO] 2020-12-04 15:22:24 > Step: 5100 Progress: 5.1% Elapsed: 1:30:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.16535 Generator_loss: 1.41341
[INFO] 2020-12-04 15:24:02 > Step: 5200 Progress: 5.2% Elapsed: 1:32:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.96166 Generator_loss: 1.82573
[INFO] 2020-12-04 15:25:47 > Step: 5300 Progress: 5.3% Elapsed: 1:33:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.22663 Generator_loss: 1.54065
[INFO] 2020-12-04 15:27:31 > Step: 5400 Progress: 5.4% Elapsed: 1:35:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.17506 Generator_loss: 1.99748
[INFO] 2020-12-04 15:29:13 > Step: 5500 Progress: 5.5% Elapsed: 1:37:25 temperature: 1.0 ada_p: No Discriminator_loss: 3.12274 Generator_loss: 1.35721
[INFO] 2020-12-04 15:31:00 > Step: 5600 Progress: 5.6% Elapsed: 1:39:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.93855 Generator_loss: 1.92914
[INFO] 2020-12-04 15:32:45 > Step: 5700 Progress: 5.7% Elapsed: 1:40:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.85575 Generator_loss: 2.14809
[INFO] 2020-12-04 15:34:24 > Step: 5800 Progress: 5.8% Elapsed: 1:42:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.93845 Generator_loss: 2.10677
[INFO] 2020-12-04 15:36:02 > Step: 5900 Progress: 5.9% Elapsed: 1:44:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.9879 Generator_loss: 1.39224
[INFO] 2020-12-04 15:37:43 > Step: 6000 Progress: 6.0% Elapsed: 1:45:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.01271 Generator_loss: 1.36951
[INFO] 2020-12-04 15:37:43 > Start Evaluation (6000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 15:37:43 > Calculating FID Score....
[INFO] 2020-12-04 15:38:25 > Calculating Inception Score....
[INFO] 2020-12-04 15:38:44 > Calculate F_beta Score....
[INFO] 2020-12-04 15:39:49 > Calculate Accuracies....
[INFO] 2020-12-04 15:39:58 > Calculate Accuracies....
[INFO] 2020-12-04 15:40:00 > F_8 score (Step: 6000, Using test images): 0.8158609468666898
[INFO] 2020-12-04 15:40:00 > F_1/8 score (Step: 6000, Using test images): 0.907683804646413
[INFO] 2020-12-04 15:40:00 > FID score (Step: 6000, Using test moments): 42.00379079274808
[INFO] 2020-12-04 15:40:00 > Inception score (Step: 6000, 10000 generated images): 7.003836631774902
[INFO] 2020-12-04 15:40:00 > Best FID score (Step: 6000, Using test moments): 42.00379079274808
[INFO] 2020-12-04 15:40:02 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 15:41:28 > Step: 6100 Progress: 6.1% Elapsed: 1:49:39 temperature: 1.0 ada_p: No Discriminator_loss: 3.35524 Generator_loss: 1.01753
[INFO] 2020-12-04 15:43:02 > Step: 6200 Progress: 6.2% Elapsed: 1:51:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.8729 Generator_loss: 1.79464
[INFO] 2020-12-04 15:44:31 > Step: 6300 Progress: 6.3% Elapsed: 1:52:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.86984 Generator_loss: 2.35118
[INFO] 2020-12-04 15:46:02 > Step: 6400 Progress: 6.4% Elapsed: 1:54:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.17374 Generator_loss: 1.12544
[INFO] 2020-12-04 15:47:43 > Step: 6500 Progress: 6.5% Elapsed: 1:55:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.03408 Generator_loss: 0.783861
[INFO] 2020-12-04 15:49:16 > Step: 6600 Progress: 6.6% Elapsed: 1:57:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.12788 Generator_loss: 1.94144
[INFO] 2020-12-04 15:50:49 > Step: 6700 Progress: 6.7% Elapsed: 1:59:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.93648 Generator_loss: 2.10019
[INFO] 2020-12-04 15:52:24 > Step: 6800 Progress: 6.8% Elapsed: 2:00:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.9334 Generator_loss: 2.20826
[INFO] 2020-12-04 15:53:56 > Step: 6900 Progress: 6.9% Elapsed: 2:02:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.74432 Generator_loss: 1.68412
[INFO] 2020-12-04 15:55:31 > Step: 7000 Progress: 7.0% Elapsed: 2:03:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.93828 Generator_loss: 2.08734
[INFO] 2020-12-04 15:57:09 > Step: 7100 Progress: 7.1% Elapsed: 2:05:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.90636 Generator_loss: 1.995
[INFO] 2020-12-04 15:58:46 > Step: 7200 Progress: 7.2% Elapsed: 2:06:58 temperature: 1.0 ada_p: No Discriminator_loss: 3.0686 Generator_loss: 1.25204
[INFO] 2020-12-04 16:00:22 > Step: 7300 Progress: 7.3% Elapsed: 2:08:34 temperature: 1.0 ada_p: No Discriminator_loss: 3.10971 Generator_loss: 1.74481
[INFO] 2020-12-04 16:02:00 > Step: 7400 Progress: 7.4% Elapsed: 2:10:12 temperature: 1.0 ada_p: No Discriminator_loss: 3.06203 Generator_loss: 1.46674
[INFO] 2020-12-04 16:03:31 > Step: 7500 Progress: 7.5% Elapsed: 2:11:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.80847 Generator_loss: 2.26326
[INFO] 2020-12-04 16:05:04 > Step: 7600 Progress: 7.6% Elapsed: 2:13:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.08109 Generator_loss: 1.86183
[INFO] 2020-12-04 16:06:39 > Step: 7700 Progress: 7.7% Elapsed: 2:14:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.80399 Generator_loss: 1.98783
[INFO] 2020-12-04 16:08:21 > Step: 7800 Progress: 7.8% Elapsed: 2:16:33 temperature: 1.0 ada_p: No Discriminator_loss: 3.14523 Generator_loss: 1.84894
[INFO] 2020-12-04 16:10:09 > Step: 7900 Progress: 7.9% Elapsed: 2:18:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.86328 Generator_loss: 2.00464
[INFO] 2020-12-04 16:11:54 > Step: 8000 Progress: 8.0% Elapsed: 2:20:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.063 Generator_loss: 2.03237
[INFO] 2020-12-04 16:11:54 > Start Evaluation (8000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 16:11:54 > Calculating FID Score....
[INFO] 2020-12-04 16:12:36 > Calculating Inception Score....
[INFO] 2020-12-04 16:12:55 > Calculate F_beta Score....
[INFO] 2020-12-04 16:14:11 > Calculate Accuracies....
[INFO] 2020-12-04 16:14:21 > Calculate Accuracies....
[INFO] 2020-12-04 16:14:24 > F_8 score (Step: 8000, Using test images): 0.8755474627662984
[INFO] 2020-12-04 16:14:24 > F_1/8 score (Step: 8000, Using test images): 0.9417033003984713
[INFO] 2020-12-04 16:14:24 > FID score (Step: 8000, Using test moments): 34.95714386253468
[INFO] 2020-12-04 16:14:24 > Inception score (Step: 8000, 10000 generated images): 7.704252243041992
[INFO] 2020-12-04 16:14:24 > Best FID score (Step: 8000, Using test moments): 34.95714386253468
[INFO] 2020-12-04 16:14:26 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 16:15:43 > Step: 8100 Progress: 8.1% Elapsed: 2:23:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.14743 Generator_loss: 1.88166
[INFO] 2020-12-04 16:17:07 > Step: 8200 Progress: 8.2% Elapsed: 2:25:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.10389 Generator_loss: 2.22344
[INFO] 2020-12-04 16:18:47 > Step: 8300 Progress: 8.3% Elapsed: 2:26:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.14973 Generator_loss: 1.23405
[INFO] 2020-12-04 16:20:29 > Step: 8400 Progress: 8.4% Elapsed: 2:28:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.12765 Generator_loss: 2.11566
[INFO] 2020-12-04 16:22:08 > Step: 8500 Progress: 8.5% Elapsed: 2:30:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.96741 Generator_loss: 1.30193
[INFO] 2020-12-04 16:23:48 > Step: 8600 Progress: 8.6% Elapsed: 2:32:00 temperature: 1.0 ada_p: No Discriminator_loss: 3.01194 Generator_loss: 1.87254
[INFO] 2020-12-04 16:25:27 > Step: 8700 Progress: 8.7% Elapsed: 2:33:39 temperature: 1.0 ada_p: No Discriminator_loss: 3.12798 Generator_loss: 1.4807
[INFO] 2020-12-04 16:27:11 > Step: 8800 Progress: 8.8% Elapsed: 2:35:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.06419 Generator_loss: 1.21687
[INFO] 2020-12-04 16:28:51 > Step: 8900 Progress: 8.9% Elapsed: 2:37:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.04344 Generator_loss: 1.69752
[INFO] 2020-12-04 16:30:33 > Step: 9000 Progress: 9.0% Elapsed: 2:38:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.84827 Generator_loss: 1.88627
[INFO] 2020-12-04 16:32:12 > Step: 9100 Progress: 9.1% Elapsed: 2:40:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.64954 Generator_loss: 2.27609
[INFO] 2020-12-04 16:33:49 > Step: 9200 Progress: 9.2% Elapsed: 2:42:01 temperature: 1.0 ada_p: No Discriminator_loss: 3.12184 Generator_loss: 1.59185
[INFO] 2020-12-04 16:35:25 > Step: 9300 Progress: 9.3% Elapsed: 2:43:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.90412 Generator_loss: 1.62961
[INFO] 2020-12-04 16:37:03 > Step: 9400 Progress: 9.4% Elapsed: 2:45:15 temperature: 1.0 ada_p: No Discriminator_loss: 3.03637 Generator_loss: 2.29776
[INFO] 2020-12-04 16:38:40 > Step: 9500 Progress: 9.5% Elapsed: 2:46:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.02482 Generator_loss: 1.91063
[INFO] 2020-12-04 16:40:14 > Step: 9600 Progress: 9.6% Elapsed: 2:48:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.58647 Generator_loss: 1.80608
[INFO] 2020-12-04 16:41:55 > Step: 9700 Progress: 9.7% Elapsed: 2:50:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.051 Generator_loss: 1.95467
[INFO] 2020-12-04 16:43:31 > Step: 9800 Progress: 9.8% Elapsed: 2:51:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.06382 Generator_loss: 1.8298
[INFO] 2020-12-04 16:45:19 > Step: 9900 Progress: 9.9% Elapsed: 2:53:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.79538 Generator_loss: 2.214
[INFO] 2020-12-04 16:47:06 > Step: 10000 Progress: 10.0% Elapsed: 2:55:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.86306 Generator_loss: 1.87982
[INFO] 2020-12-04 16:47:06 > Start Evaluation (10000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 16:47:06 > Calculating FID Score....
[INFO] 2020-12-04 16:47:51 > Calculating Inception Score....
[INFO] 2020-12-04 16:48:11 > Calculate F_beta Score....
[INFO] 2020-12-04 16:49:32 > Calculate Accuracies....
[INFO] 2020-12-04 16:49:42 > Calculate Accuracies....
[INFO] 2020-12-04 16:49:44 > F_8 score (Step: 10000, Using test images): 0.9202795523415113
[INFO] 2020-12-04 16:49:44 > F_1/8 score (Step: 10000, Using test images): 0.9632771292855989
[INFO] 2020-12-04 16:49:44 > FID score (Step: 10000, Using test moments): 27.9249423582836
[INFO] 2020-12-04 16:49:44 > Inception score (Step: 10000, 10000 generated images): 8.30755615234375
[INFO] 2020-12-04 16:49:44 > Best FID score (Step: 10000, Using test moments): 27.9249423582836
[INFO] 2020-12-04 16:49:46 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 16:51:18 > Step: 10100 Progress: 10.1% Elapsed: 2:59:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.82425 Generator_loss: 2.31834
[INFO] 2020-12-04 16:52:42 > Step: 10200 Progress: 10.2% Elapsed: 3:00:54 temperature: 1.0 ada_p: No Discriminator_loss: 3.1252 Generator_loss: 1.83456
[INFO] 2020-12-04 16:54:15 > Step: 10300 Progress: 10.3% Elapsed: 3:02:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.08803 Generator_loss: 1.61722
[INFO] 2020-12-04 16:56:02 > Step: 10400 Progress: 10.4% Elapsed: 3:04:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.11007 Generator_loss: 1.0756
[INFO] 2020-12-04 16:57:54 > Step: 10500 Progress: 10.5% Elapsed: 3:06:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.92382 Generator_loss: 1.77814
[INFO] 2020-12-04 16:59:35 > Step: 10600 Progress: 10.6% Elapsed: 3:07:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.67714 Generator_loss: 1.68393
[INFO] 2020-12-04 17:01:21 > Step: 10700 Progress: 10.7% Elapsed: 3:09:33 temperature: 1.0 ada_p: No Discriminator_loss: 3.05637 Generator_loss: 1.97703
[INFO] 2020-12-04 17:03:05 > Step: 10800 Progress: 10.8% Elapsed: 3:11:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.80637 Generator_loss: 1.50493
[INFO] 2020-12-04 17:04:54 > Step: 10900 Progress: 10.9% Elapsed: 3:13:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.0316 Generator_loss: 1.89691
[INFO] 2020-12-04 17:06:43 > Step: 11000 Progress: 11.0% Elapsed: 3:14:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.7637 Generator_loss: 2.07456
[INFO] 2020-12-04 17:08:34 > Step: 11100 Progress: 11.1% Elapsed: 3:16:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.84899 Generator_loss: 1.56722
[INFO] 2020-12-04 17:10:18 > Step: 11200 Progress: 11.2% Elapsed: 3:18:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.7777 Generator_loss: 2.07122
[INFO] 2020-12-04 17:11:52 > Step: 11300 Progress: 11.3% Elapsed: 3:20:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.08792 Generator_loss: 1.74058
[INFO] 2020-12-04 17:13:29 > Step: 11400 Progress: 11.4% Elapsed: 3:21:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.82971 Generator_loss: 1.65207
[INFO] 2020-12-04 17:15:14 > Step: 11500 Progress: 11.5% Elapsed: 3:23:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.98073 Generator_loss: 1.09292
[INFO] 2020-12-04 17:17:03 > Step: 11600 Progress: 11.6% Elapsed: 3:25:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.97483 Generator_loss: 2.17635
[INFO] 2020-12-04 17:18:48 > Step: 11700 Progress: 11.7% Elapsed: 3:27:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.918 Generator_loss: 2.04
[INFO] 2020-12-04 17:20:35 > Step: 11800 Progress: 11.8% Elapsed: 3:28:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.98588 Generator_loss: 1.71059
[INFO] 2020-12-04 17:22:15 > Step: 11900 Progress: 11.9% Elapsed: 3:30:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.65121 Generator_loss: 1.69112
[INFO] 2020-12-04 17:23:54 > Step: 12000 Progress: 12.0% Elapsed: 3:32:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.87068 Generator_loss: 1.67119
[INFO] 2020-12-04 17:23:54 > Start Evaluation (12000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 17:23:54 > Calculating FID Score....
[INFO] 2020-12-04 17:24:39 > Calculating Inception Score....
[INFO] 2020-12-04 17:24:58 > Calculate F_beta Score....
[INFO] 2020-12-04 17:26:14 > Calculate Accuracies....
[INFO] 2020-12-04 17:26:24 > Calculate Accuracies....
[INFO] 2020-12-04 17:26:27 > F_8 score (Step: 12000, Using test images): 0.9572709430545422
[INFO] 2020-12-04 17:26:27 > F_1/8 score (Step: 12000, Using test images): 0.9743185329897002
[INFO] 2020-12-04 17:26:27 > FID score (Step: 12000, Using test moments): 22.728465477295288
[INFO] 2020-12-04 17:26:27 > Inception score (Step: 12000, 10000 generated images): 8.549055099487305
[INFO] 2020-12-04 17:26:27 > Best FID score (Step: 12000, Using test moments): 22.728465477295288
[INFO] 2020-12-04 17:26:28 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 17:28:00 > Step: 12100 Progress: 12.1% Elapsed: 3:36:12 temperature: 1.0 ada_p: No Discriminator_loss: 3.12827 Generator_loss: 1.3413
[INFO] 2020-12-04 17:29:41 > Step: 12200 Progress: 12.2% Elapsed: 3:37:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.82446 Generator_loss: 1.78651
[INFO] 2020-12-04 17:31:19 > Step: 12300 Progress: 12.3% Elapsed: 3:39:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.95876 Generator_loss: 1.91579
[INFO] 2020-12-04 17:32:59 > Step: 12400 Progress: 12.4% Elapsed: 3:41:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.82028 Generator_loss: 1.52074
[INFO] 2020-12-04 17:34:43 > Step: 12500 Progress: 12.5% Elapsed: 3:42:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.24283 Generator_loss: 1.3279
[INFO] 2020-12-04 17:36:28 > Step: 12600 Progress: 12.6% Elapsed: 3:44:40 temperature: 1.0 ada_p: No Discriminator_loss: 3.27246 Generator_loss: 1.1819
[INFO] 2020-12-04 17:38:17 > Step: 12700 Progress: 12.7% Elapsed: 3:46:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.79262 Generator_loss: 1.73836
[INFO] 2020-12-04 17:40:03 > Step: 12800 Progress: 12.8% Elapsed: 3:48:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.75573 Generator_loss: 2.41234
[INFO] 2020-12-04 17:41:47 > Step: 12900 Progress: 12.9% Elapsed: 3:49:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.93316 Generator_loss: 1.63523
[INFO] 2020-12-04 17:43:33 > Step: 13000 Progress: 13.0% Elapsed: 3:51:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.82893 Generator_loss: 2.70659
[INFO] 2020-12-04 17:45:18 > Step: 13100 Progress: 13.1% Elapsed: 3:53:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.06324 Generator_loss: 1.84494
[INFO] 2020-12-04 17:46:59 > Step: 13200 Progress: 13.2% Elapsed: 3:55:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.9836 Generator_loss: 1.83776
[INFO] 2020-12-04 17:48:48 > Step: 13300 Progress: 13.3% Elapsed: 3:57:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.87563 Generator_loss: 2.36919
[INFO] 2020-12-04 17:50:43 > Step: 13400 Progress: 13.4% Elapsed: 3:58:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.95041 Generator_loss: 1.88187
[INFO] 2020-12-04 17:52:25 > Step: 13500 Progress: 13.5% Elapsed: 4:00:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.95709 Generator_loss: 1.84243
[INFO] 2020-12-04 17:54:13 > Step: 13600 Progress: 13.6% Elapsed: 4:02:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.975 Generator_loss: 1.81826
[INFO] 2020-12-04 17:55:54 > Step: 13700 Progress: 13.7% Elapsed: 4:04:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.78902 Generator_loss: 1.29354
[INFO] 2020-12-04 17:57:36 > Step: 13800 Progress: 13.8% Elapsed: 4:05:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.62397 Generator_loss: 1.52162
[INFO] 2020-12-04 17:59:08 > Step: 13900 Progress: 13.9% Elapsed: 4:07:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.10411 Generator_loss: 1.98699
[INFO] 2020-12-04 18:00:39 > Step: 14000 Progress: 14.0% Elapsed: 4:08:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.96782 Generator_loss: 1.80675
[INFO] 2020-12-04 18:00:39 > Start Evaluation (14000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 18:00:39 > Calculating FID Score....
[INFO] 2020-12-04 18:01:22 > Calculating Inception Score....
[INFO] 2020-12-04 18:01:42 > Calculate F_beta Score....
[INFO] 2020-12-04 18:03:03 > Calculate Accuracies....
[INFO] 2020-12-04 18:03:14 > Calculate Accuracies....
[INFO] 2020-12-04 18:03:17 > F_8 score (Step: 14000, Using test images): 0.9580125613989546
[INFO] 2020-12-04 18:03:17 > F_1/8 score (Step: 14000, Using test images): 0.9778067058942806
[INFO] 2020-12-04 18:03:17 > FID score (Step: 14000, Using test moments): 19.63555898964671
[INFO] 2020-12-04 18:03:17 > Inception score (Step: 14000, 10000 generated images): 8.762967109680176
[INFO] 2020-12-04 18:03:17 > Best FID score (Step: 14000, Using test moments): 19.63555898964671
[INFO] 2020-12-04 18:03:19 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 18:04:49 > Step: 14100 Progress: 14.1% Elapsed: 4:13:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.56975 Generator_loss: 1.91074
[INFO] 2020-12-04 18:06:25 > Step: 14200 Progress: 14.2% Elapsed: 4:14:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.84326 Generator_loss: 2.41062
[INFO] 2020-12-04 18:08:09 > Step: 14300 Progress: 14.3% Elapsed: 4:16:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.23203 Generator_loss: 0.829905
[INFO] 2020-12-04 18:09:59 > Step: 14400 Progress: 14.4% Elapsed: 4:18:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.78427 Generator_loss: 2.11522
[INFO] 2020-12-04 18:11:40 > Step: 14500 Progress: 14.5% Elapsed: 4:19:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.05248 Generator_loss: 1.60332
[INFO] 2020-12-04 18:13:24 > Step: 14600 Progress: 14.6% Elapsed: 4:21:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.08293 Generator_loss: 1.35621
[INFO] 2020-12-04 18:15:03 > Step: 14700 Progress: 14.7% Elapsed: 4:23:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.93895 Generator_loss: 2.31184
[INFO] 2020-12-04 18:16:36 > Step: 14800 Progress: 14.8% Elapsed: 4:24:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.94137 Generator_loss: 2.07176
[INFO] 2020-12-04 18:18:12 > Step: 14900 Progress: 14.9% Elapsed: 4:26:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.03316 Generator_loss: 1.68403
[INFO] 2020-12-04 18:19:55 > Step: 15000 Progress: 15.0% Elapsed: 4:28:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.97593 Generator_loss: 1.75995
[INFO] 2020-12-04 18:21:37 > Step: 15100 Progress: 15.1% Elapsed: 4:29:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.82364 Generator_loss: 1.60882
[INFO] 2020-12-04 18:23:23 > Step: 15200 Progress: 15.2% Elapsed: 4:31:35 temperature: 1.0 ada_p: No Discriminator_loss: 3.08996 Generator_loss: 1.95909
[INFO] 2020-12-04 18:25:05 > Step: 15300 Progress: 15.3% Elapsed: 4:33:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.91234 Generator_loss: 2.1058
[INFO] 2020-12-04 18:26:55 > Step: 15400 Progress: 15.4% Elapsed: 4:35:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.90553 Generator_loss: 1.84491
[INFO] 2020-12-04 18:28:38 > Step: 15500 Progress: 15.5% Elapsed: 4:36:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.88419 Generator_loss: 2.14672
[INFO] 2020-12-04 18:30:22 > Step: 15600 Progress: 15.6% Elapsed: 4:38:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.82497 Generator_loss: 1.53887
[INFO] 2020-12-04 18:32:08 > Step: 15700 Progress: 15.7% Elapsed: 4:40:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.90836 Generator_loss: 1.29282
[INFO] 2020-12-04 18:33:45 > Step: 15800 Progress: 15.8% Elapsed: 4:41:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.84053 Generator_loss: 1.62614
[INFO] 2020-12-04 18:35:13 > Step: 15900 Progress: 15.9% Elapsed: 4:43:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.89721 Generator_loss: 1.50638
[INFO] 2020-12-04 18:36:56 > Step: 16000 Progress: 16.0% Elapsed: 4:45:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.85929 Generator_loss: 0.805372
[INFO] 2020-12-04 18:36:56 > Start Evaluation (16000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 18:36:56 > Calculating FID Score....
[INFO] 2020-12-04 18:37:40 > Calculating Inception Score....
[INFO] 2020-12-04 18:38:00 > Calculate F_beta Score....
[INFO] 2020-12-04 18:39:23 > Calculate Accuracies....
[INFO] 2020-12-04 18:39:35 > Calculate Accuracies....
[INFO] 2020-12-04 18:39:38 > F_8 score (Step: 16000, Using test images): 0.9658783337945095
[INFO] 2020-12-04 18:39:38 > F_1/8 score (Step: 16000, Using test images): 0.9818084222884926
[INFO] 2020-12-04 18:39:38 > FID score (Step: 16000, Using test moments): 17.25491833015826
[INFO] 2020-12-04 18:39:38 > Inception score (Step: 16000, 10000 generated images): 9.102240562438965
[INFO] 2020-12-04 18:39:38 > Best FID score (Step: 16000, Using test moments): 17.25491833015826
[INFO] 2020-12-04 18:39:40 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 18:41:19 > Step: 16100 Progress: 16.1% Elapsed: 4:49:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.96776 Generator_loss: 2.11838
[INFO] 2020-12-04 18:43:02 > Step: 16200 Progress: 16.2% Elapsed: 4:51:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.21318 Generator_loss: 1.57351
[INFO] 2020-12-04 18:44:45 > Step: 16300 Progress: 16.3% Elapsed: 4:52:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.99761 Generator_loss: 1.44435
[INFO] 2020-12-04 18:46:28 > Step: 16400 Progress: 16.4% Elapsed: 4:54:40 temperature: 1.0 ada_p: No Discriminator_loss: 3.30304 Generator_loss: 1.59325
[INFO] 2020-12-04 18:48:12 > Step: 16500 Progress: 16.5% Elapsed: 4:56:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.84201 Generator_loss: 1.50912
[INFO] 2020-12-04 18:49:52 > Step: 16600 Progress: 16.6% Elapsed: 4:58:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.8294 Generator_loss: 2.02809
[INFO] 2020-12-04 18:51:40 > Step: 16700 Progress: 16.7% Elapsed: 4:59:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.06138 Generator_loss: 1.62877
[INFO] 2020-12-04 18:53:26 > Step: 16800 Progress: 16.8% Elapsed: 5:01:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.7241 Generator_loss: 1.98641
[INFO] 2020-12-04 18:55:13 > Step: 16900 Progress: 16.9% Elapsed: 5:03:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.88526 Generator_loss: 1.98471
[INFO] 2020-12-04 18:56:56 > Step: 17000 Progress: 17.0% Elapsed: 5:05:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.88555 Generator_loss: 2.38072
[INFO] 2020-12-04 18:58:42 > Step: 17100 Progress: 17.1% Elapsed: 5:06:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.94182 Generator_loss: 0.782212
[INFO] 2020-12-04 19:00:25 > Step: 17200 Progress: 17.2% Elapsed: 5:08:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.73007 Generator_loss: 1.34317
[INFO] 2020-12-04 19:02:07 > Step: 17300 Progress: 17.3% Elapsed: 5:10:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.89997 Generator_loss: 1.71685
[INFO] 2020-12-04 19:03:50 > Step: 17400 Progress: 17.4% Elapsed: 5:12:02 temperature: 1.0 ada_p: No Discriminator_loss: 3.19245 Generator_loss: 2.04818
[INFO] 2020-12-04 19:05:36 > Step: 17500 Progress: 17.5% Elapsed: 5:13:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.79933 Generator_loss: 2.2832
[INFO] 2020-12-04 19:07:18 > Step: 17600 Progress: 17.6% Elapsed: 5:15:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.79834 Generator_loss: 1.73136
[INFO] 2020-12-04 19:08:51 > Step: 17700 Progress: 17.7% Elapsed: 5:17:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.86571 Generator_loss: 1.95713
[INFO] 2020-12-04 19:10:24 > Step: 17800 Progress: 17.8% Elapsed: 5:18:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.70553 Generator_loss: 2.02062
[INFO] 2020-12-04 19:12:10 > Step: 17900 Progress: 17.9% Elapsed: 5:20:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.00495 Generator_loss: 1.46826
[INFO] 2020-12-04 19:13:59 > Step: 18000 Progress: 18.0% Elapsed: 5:22:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.75378 Generator_loss: 1.61463
[INFO] 2020-12-04 19:13:59 > Start Evaluation (18000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 19:13:59 > Calculating FID Score....
[INFO] 2020-12-04 19:14:42 > Calculating Inception Score....
[INFO] 2020-12-04 19:15:03 > Calculate F_beta Score....
[INFO] 2020-12-04 19:16:18 > Calculate Accuracies....
[INFO] 2020-12-04 19:16:29 > Calculate Accuracies....
[INFO] 2020-12-04 19:16:32 > F_8 score (Step: 18000, Using test images): 0.9795391651990479
[INFO] 2020-12-04 19:16:32 > F_1/8 score (Step: 18000, Using test images): 0.9845331811010453
[INFO] 2020-12-04 19:16:32 > FID score (Step: 18000, Using test moments): 15.049033517588214
[INFO] 2020-12-04 19:16:32 > Inception score (Step: 18000, 10000 generated images): 9.075309753417969
[INFO] 2020-12-04 19:16:32 > Best FID score (Step: 18000, Using test moments): 15.049033517588214
[INFO] 2020-12-04 19:16:34 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 19:18:06 > Step: 18100 Progress: 18.1% Elapsed: 5:26:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.97331 Generator_loss: 2.24978
[INFO] 2020-12-04 19:19:43 > Step: 18200 Progress: 18.2% Elapsed: 5:27:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.95356 Generator_loss: 1.43763
[INFO] 2020-12-04 19:21:22 > Step: 18300 Progress: 18.3% Elapsed: 5:29:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.93161 Generator_loss: 1.96558
[INFO] 2020-12-04 19:22:56 > Step: 18400 Progress: 18.4% Elapsed: 5:31:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.3158 Generator_loss: 1.0036
[INFO] 2020-12-04 19:24:35 > Step: 18500 Progress: 18.5% Elapsed: 5:32:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.83039 Generator_loss: 1.90639
[INFO] 2020-12-04 19:26:16 > Step: 18600 Progress: 18.6% Elapsed: 5:34:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.86577 Generator_loss: 1.48113
[INFO] 2020-12-04 19:27:58 > Step: 18700 Progress: 18.7% Elapsed: 5:36:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.85357 Generator_loss: 1.16438
[INFO] 2020-12-04 19:29:43 > Step: 18800 Progress: 18.8% Elapsed: 5:37:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.74297 Generator_loss: 1.95608
[INFO] 2020-12-04 19:31:27 > Step: 18900 Progress: 18.9% Elapsed: 5:39:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.80806 Generator_loss: 2.05519
[INFO] 2020-12-04 19:33:24 > Step: 19000 Progress: 19.0% Elapsed: 5:41:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.89011 Generator_loss: 1.561
[INFO] 2020-12-04 19:35:08 > Step: 19100 Progress: 19.1% Elapsed: 5:43:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.84879 Generator_loss: 1.58075
[INFO] 2020-12-04 19:36:50 > Step: 19200 Progress: 19.2% Elapsed: 5:45:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.85156 Generator_loss: 1.40235
[INFO] 2020-12-04 19:38:34 > Step: 19300 Progress: 19.3% Elapsed: 5:46:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.70509 Generator_loss: 2.11024
[INFO] 2020-12-04 19:40:15 > Step: 19400 Progress: 19.4% Elapsed: 5:48:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.71667 Generator_loss: 2.10227
[INFO] 2020-12-04 19:41:58 > Step: 19500 Progress: 19.5% Elapsed: 5:50:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.93686 Generator_loss: 1.73339
[INFO] 2020-12-04 19:43:26 > Step: 19600 Progress: 19.6% Elapsed: 5:51:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.8395 Generator_loss: 1.72714
[INFO] 2020-12-04 19:44:59 > Step: 19700 Progress: 19.7% Elapsed: 5:53:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.9331 Generator_loss: 1.47765
[INFO] 2020-12-04 19:46:39 > Step: 19800 Progress: 19.8% Elapsed: 5:54:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.54937 Generator_loss: 2.07345
[INFO] 2020-12-04 19:48:23 > Step: 19900 Progress: 19.9% Elapsed: 5:56:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.74307 Generator_loss: 1.78998
[INFO] 2020-12-04 19:50:01 > Step: 20000 Progress: 20.0% Elapsed: 5:58:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.66281 Generator_loss: 1.81335
[INFO] 2020-12-04 19:50:01 > Start Evaluation (20000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 19:50:01 > Calculating FID Score....
[INFO] 2020-12-04 19:50:43 > Calculating Inception Score....
[INFO] 2020-12-04 19:51:03 > Calculate F_beta Score....
[INFO] 2020-12-04 19:52:13 > Calculate Accuracies....
[INFO] 2020-12-04 19:52:23 > Calculate Accuracies....
[INFO] 2020-12-04 19:52:26 > F_8 score (Step: 20000, Using test images): 0.9722592758981392
[INFO] 2020-12-04 19:52:26 > F_1/8 score (Step: 20000, Using test images): 0.9875009838007827
[INFO] 2020-12-04 19:52:26 > FID score (Step: 20000, Using test moments): 13.957917486268514
[INFO] 2020-12-04 19:52:26 > Inception score (Step: 20000, 10000 generated images): 9.301003456115723
[INFO] 2020-12-04 19:52:26 > Best FID score (Step: 20000, Using test moments): 13.957917486268514
[INFO] 2020-12-04 19:52:27 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 19:53:58 > Step: 20100 Progress: 20.1% Elapsed: 6:02:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.03067 Generator_loss: 1.59897
[INFO] 2020-12-04 19:55:43 > Step: 20200 Progress: 20.2% Elapsed: 6:03:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.16796 Generator_loss: 1.09674
[INFO] 2020-12-04 19:57:23 > Step: 20300 Progress: 20.3% Elapsed: 6:05:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.87356 Generator_loss: 1.43987
[INFO] 2020-12-04 19:59:04 > Step: 20400 Progress: 20.4% Elapsed: 6:07:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.80515 Generator_loss: 1.50448
[INFO] 2020-12-04 20:00:47 > Step: 20500 Progress: 20.5% Elapsed: 6:08:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.74109 Generator_loss: 1.54685
[INFO] 2020-12-04 20:02:30 > Step: 20600 Progress: 20.6% Elapsed: 6:10:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.85625 Generator_loss: 1.72974
[INFO] 2020-12-04 20:04:11 > Step: 20700 Progress: 20.7% Elapsed: 6:12:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.94455 Generator_loss: 1.91458
[INFO] 2020-12-04 20:05:50 > Step: 20800 Progress: 20.8% Elapsed: 6:14:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.92898 Generator_loss: 1.47758
[INFO] 2020-12-04 20:07:34 > Step: 20900 Progress: 20.9% Elapsed: 6:15:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.8722 Generator_loss: 1.91966
[INFO] 2020-12-04 20:09:20 > Step: 21000 Progress: 21.0% Elapsed: 6:17:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.90954 Generator_loss: 1.37394
[INFO] 2020-12-04 20:11:02 > Step: 21100 Progress: 21.1% Elapsed: 6:19:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.90273 Generator_loss: 1.93505
[INFO] 2020-12-04 20:12:48 > Step: 21200 Progress: 21.2% Elapsed: 6:21:00 temperature: 1.0 ada_p: No Discriminator_loss: 3.13355 Generator_loss: 0.854322
[INFO] 2020-12-04 20:14:34 > Step: 21300 Progress: 21.3% Elapsed: 6:22:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.82727 Generator_loss: 1.64522
[INFO] 2020-12-04 20:16:19 > Step: 21400 Progress: 21.4% Elapsed: 6:24:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.89788 Generator_loss: 1.59087
[INFO] 2020-12-04 20:17:57 > Step: 21500 Progress: 21.5% Elapsed: 6:26:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.78118 Generator_loss: 1.62111
[INFO] 2020-12-04 20:19:34 > Step: 21600 Progress: 21.6% Elapsed: 6:27:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.87794 Generator_loss: 1.66617
[INFO] 2020-12-04 20:21:17 > Step: 21700 Progress: 21.7% Elapsed: 6:29:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.85772 Generator_loss: 1.5525
[INFO] 2020-12-04 20:23:01 > Step: 21800 Progress: 21.8% Elapsed: 6:31:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.90412 Generator_loss: 1.55841
[INFO] 2020-12-04 20:24:48 > Step: 21900 Progress: 21.9% Elapsed: 6:33:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.80482 Generator_loss: 1.89167
[INFO] 2020-12-04 20:26:33 > Step: 22000 Progress: 22.0% Elapsed: 6:34:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.8816 Generator_loss: 2.03477
[INFO] 2020-12-04 20:26:33 > Start Evaluation (22000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 20:26:33 > Calculating FID Score....
[INFO] 2020-12-04 20:27:12 > Calculating Inception Score....
[INFO] 2020-12-04 20:27:31 > Calculate F_beta Score....
[INFO] 2020-12-04 20:28:41 > Calculate Accuracies....
[INFO] 2020-12-04 20:28:50 > Calculate Accuracies....
[INFO] 2020-12-04 20:28:52 > F_8 score (Step: 22000, Using test images): 0.9811425426268297
[INFO] 2020-12-04 20:28:52 > F_1/8 score (Step: 22000, Using test images): 0.9896443159162882
[INFO] 2020-12-04 20:28:52 > FID score (Step: 22000, Using test moments): 12.874586362810476
[INFO] 2020-12-04 20:28:52 > Inception score (Step: 22000, 10000 generated images): 9.444711685180664
[INFO] 2020-12-04 20:28:52 > Best FID score (Step: 22000, Using test moments): 12.874586362810476
[INFO] 2020-12-04 20:28:54 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 20:30:20 > Step: 22100 Progress: 22.1% Elapsed: 6:38:32 temperature: 1.0 ada_p: No Discriminator_loss: 3.19996 Generator_loss: 1.45471
[INFO] 2020-12-04 20:31:59 > Step: 22200 Progress: 22.2% Elapsed: 6:40:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.76992 Generator_loss: 2.0417
[INFO] 2020-12-04 20:33:39 > Step: 22300 Progress: 22.3% Elapsed: 6:41:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.93123 Generator_loss: 1.30444
[INFO] 2020-12-04 20:35:19 > Step: 22400 Progress: 22.4% Elapsed: 6:43:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.92694 Generator_loss: 1.40099
[INFO] 2020-12-04 20:37:01 > Step: 22500 Progress: 22.5% Elapsed: 6:45:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.93932 Generator_loss: 1.72261
[INFO] 2020-12-04 20:38:44 > Step: 22600 Progress: 22.6% Elapsed: 6:46:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.89294 Generator_loss: 1.37825
[INFO] 2020-12-04 20:40:27 > Step: 22700 Progress: 22.7% Elapsed: 6:48:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.83027 Generator_loss: 1.45781
[INFO] 2020-12-04 20:42:10 > Step: 22800 Progress: 22.8% Elapsed: 6:50:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.77351 Generator_loss: 1.75834
[INFO] 2020-12-04 20:43:51 > Step: 22900 Progress: 22.9% Elapsed: 6:52:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.95498 Generator_loss: 1.65706
[INFO] 2020-12-04 20:45:36 > Step: 23000 Progress: 23.0% Elapsed: 6:53:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.66989 Generator_loss: 2.07221
[INFO] 2020-12-04 20:47:16 > Step: 23100 Progress: 23.1% Elapsed: 6:55:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.86507 Generator_loss: 1.59467
[INFO] 2020-12-04 20:49:01 > Step: 23200 Progress: 23.2% Elapsed: 6:57:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.90633 Generator_loss: 1.79396
[INFO] 2020-12-04 20:50:46 > Step: 23300 Progress: 23.3% Elapsed: 6:58:58 temperature: 1.0 ada_p: No Discriminator_loss: 3.08571 Generator_loss: 0.852166
[INFO] 2020-12-04 20:52:30 > Step: 23400 Progress: 23.4% Elapsed: 7:00:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.947 Generator_loss: 1.76188
[INFO] 2020-12-04 20:54:00 > Step: 23500 Progress: 23.5% Elapsed: 7:02:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.93691 Generator_loss: 1.78641
[INFO] 2020-12-04 20:55:38 > Step: 23600 Progress: 23.6% Elapsed: 7:03:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.76148 Generator_loss: 1.76428
[INFO] 2020-12-04 20:57:21 > Step: 23700 Progress: 23.7% Elapsed: 7:05:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.97056 Generator_loss: 2.04148
[INFO] 2020-12-04 20:59:04 > Step: 23800 Progress: 23.8% Elapsed: 7:07:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.79598 Generator_loss: 1.93404
[INFO] 2020-12-04 21:00:42 > Step: 23900 Progress: 23.9% Elapsed: 7:08:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.84905 Generator_loss: 1.4435
[INFO] 2020-12-04 21:02:24 > Step: 24000 Progress: 24.0% Elapsed: 7:10:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.8062 Generator_loss: 1.19612
[INFO] 2020-12-04 21:02:24 > Start Evaluation (24000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 21:02:24 > Calculating FID Score....
[INFO] 2020-12-04 21:03:05 > Calculating Inception Score....
[INFO] 2020-12-04 21:03:24 > Calculate F_beta Score....
[INFO] 2020-12-04 21:04:36 > Calculate Accuracies....
[INFO] 2020-12-04 21:04:46 > Calculate Accuracies....
[INFO] 2020-12-04 21:04:48 > F_8 score (Step: 24000, Using test images): 0.9849703144380192
[INFO] 2020-12-04 21:04:48 > F_1/8 score (Step: 24000, Using test images): 0.9884098888870986
[INFO] 2020-12-04 21:04:48 > FID score (Step: 24000, Using test moments): 12.271873919095697
[INFO] 2020-12-04 21:04:48 > Inception score (Step: 24000, 10000 generated images): 9.524677276611328
[INFO] 2020-12-04 21:04:48 > Best FID score (Step: 24000, Using test moments): 12.271873919095697
[INFO] 2020-12-04 21:04:50 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 21:06:23 > Step: 24100 Progress: 24.1% Elapsed: 7:14:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.81268 Generator_loss: 2.10403
[INFO] 2020-12-04 21:08:06 > Step: 24200 Progress: 24.2% Elapsed: 7:16:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.88014 Generator_loss: 2.04307
[INFO] 2020-12-04 21:09:50 > Step: 24300 Progress: 24.3% Elapsed: 7:18:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.9963 Generator_loss: 1.44159
[INFO] 2020-12-04 21:11:29 > Step: 24400 Progress: 24.4% Elapsed: 7:19:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.7733 Generator_loss: 1.69985
[INFO] 2020-12-04 21:13:08 > Step: 24500 Progress: 24.5% Elapsed: 7:21:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.87614 Generator_loss: 2.05406
[INFO] 2020-12-04 21:14:48 > Step: 24600 Progress: 24.6% Elapsed: 7:23:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.52525 Generator_loss: 2.10968
[INFO] 2020-12-04 21:16:31 > Step: 24700 Progress: 24.7% Elapsed: 7:24:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.82055 Generator_loss: 2.207
[INFO] 2020-12-04 21:18:12 > Step: 24800 Progress: 24.8% Elapsed: 7:26:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.08126 Generator_loss: 1.11686
[INFO] 2020-12-04 21:19:59 > Step: 24900 Progress: 24.9% Elapsed: 7:28:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.81639 Generator_loss: 1.90335
[INFO] 2020-12-04 21:21:43 > Step: 25000 Progress: 25.0% Elapsed: 7:29:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.84956 Generator_loss: 2.18823
[INFO] 2020-12-04 21:23:24 > Step: 25100 Progress: 25.1% Elapsed: 7:31:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.83506 Generator_loss: 2.0075
[INFO] 2020-12-04 21:25:15 > Step: 25200 Progress: 25.2% Elapsed: 7:33:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.8545 Generator_loss: 1.84782
[INFO] 2020-12-04 21:27:03 > Step: 25300 Progress: 25.3% Elapsed: 7:35:15 temperature: 1.0 ada_p: No Discriminator_loss: 3.10566 Generator_loss: 1.3654
[INFO] 2020-12-04 21:28:33 > Step: 25400 Progress: 25.4% Elapsed: 7:36:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.70074 Generator_loss: 2.24461
[INFO] 2020-12-04 21:30:09 > Step: 25500 Progress: 25.5% Elapsed: 7:38:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.88009 Generator_loss: 1.43042
[INFO] 2020-12-04 21:31:54 > Step: 25600 Progress: 25.6% Elapsed: 7:40:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.81898 Generator_loss: 1.97482
[INFO] 2020-12-04 21:33:28 > Step: 25700 Progress: 25.7% Elapsed: 7:41:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.70057 Generator_loss: 1.46072
[INFO] 2020-12-04 21:35:02 > Step: 25800 Progress: 25.8% Elapsed: 7:43:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.65349 Generator_loss: 1.60288
[INFO] 2020-12-04 21:36:42 > Step: 25900 Progress: 25.9% Elapsed: 7:44:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.99563 Generator_loss: 1.36217
[INFO] 2020-12-04 21:38:28 > Step: 26000 Progress: 26.0% Elapsed: 7:46:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.67421 Generator_loss: 1.84503
[INFO] 2020-12-04 21:38:28 > Start Evaluation (26000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 21:38:28 > Calculating FID Score....
[INFO] 2020-12-04 21:39:08 > Calculating Inception Score....
[INFO] 2020-12-04 21:39:27 > Calculate F_beta Score....
[INFO] 2020-12-04 21:40:42 > Calculate Accuracies....
[INFO] 2020-12-04 21:40:54 > Calculate Accuracies....
[INFO] 2020-12-04 21:40:56 > F_8 score (Step: 26000, Using test images): 0.9849761044082603
[INFO] 2020-12-04 21:40:56 > F_1/8 score (Step: 26000, Using test images): 0.9899668071931486
[INFO] 2020-12-04 21:40:56 > FID score (Step: 26000, Using test moments): 11.513348897421963
[INFO] 2020-12-04 21:40:56 > Inception score (Step: 26000, 10000 generated images): 9.336487770080566
[INFO] 2020-12-04 21:40:56 > Best FID score (Step: 26000, Using test moments): 11.513348897421963
[INFO] 2020-12-04 21:40:58 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 21:42:46 > Step: 26100 Progress: 26.1% Elapsed: 7:50:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.63495 Generator_loss: 1.96274
[INFO] 2020-12-04 21:44:32 > Step: 26200 Progress: 26.2% Elapsed: 7:52:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.9482 Generator_loss: 1.91886
[INFO] 2020-12-04 21:46:15 > Step: 26300 Progress: 26.3% Elapsed: 7:54:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.85447 Generator_loss: 1.64888
[INFO] 2020-12-04 21:47:58 > Step: 26400 Progress: 26.4% Elapsed: 7:56:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.80378 Generator_loss: 1.81608
[INFO] 2020-12-04 21:49:44 > Step: 26500 Progress: 26.5% Elapsed: 7:57:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.82265 Generator_loss: 1.51509
[INFO] 2020-12-04 21:51:36 > Step: 26600 Progress: 26.6% Elapsed: 7:59:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.78048 Generator_loss: 1.79869
[INFO] 2020-12-04 21:53:21 > Step: 26700 Progress: 26.7% Elapsed: 8:01:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.78335 Generator_loss: 2.17526
[INFO] 2020-12-04 21:55:04 > Step: 26800 Progress: 26.8% Elapsed: 8:03:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.82398 Generator_loss: 2.0539
[INFO] 2020-12-04 21:56:43 > Step: 26900 Progress: 26.9% Elapsed: 8:04:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.91776 Generator_loss: 1.66333
[INFO] 2020-12-04 21:58:27 > Step: 27000 Progress: 27.0% Elapsed: 8:06:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.76534 Generator_loss: 1.80711
[INFO] 2020-12-04 22:00:11 > Step: 27100 Progress: 27.1% Elapsed: 8:08:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.81602 Generator_loss: 1.79077
[INFO] 2020-12-04 22:01:50 > Step: 27200 Progress: 27.2% Elapsed: 8:10:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.60482 Generator_loss: 1.90779
[INFO] 2020-12-04 22:03:27 > Step: 27300 Progress: 27.3% Elapsed: 8:11:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.79527 Generator_loss: 1.66488
[INFO] 2020-12-04 22:05:09 > Step: 27400 Progress: 27.4% Elapsed: 8:13:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.69985 Generator_loss: 1.7808
[INFO] 2020-12-04 22:06:48 > Step: 27500 Progress: 27.5% Elapsed: 8:15:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.8626 Generator_loss: 1.3067
[INFO] 2020-12-04 22:08:30 > Step: 27600 Progress: 27.6% Elapsed: 8:16:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.01345 Generator_loss: 1.84877
[INFO] 2020-12-04 22:10:16 > Step: 27700 Progress: 27.7% Elapsed: 8:18:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.03059 Generator_loss: 1.65307
[INFO] 2020-12-04 22:12:04 > Step: 27800 Progress: 27.8% Elapsed: 8:20:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.01056 Generator_loss: 1.45526
[INFO] 2020-12-04 22:13:59 > Step: 27900 Progress: 27.9% Elapsed: 8:22:11 temperature: 1.0 ada_p: No Discriminator_loss: 3.0005 Generator_loss: 1.51126
[INFO] 2020-12-04 22:15:43 > Step: 28000 Progress: 28.0% Elapsed: 8:23:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.14645 Generator_loss: 1.1176
[INFO] 2020-12-04 22:15:43 > Start Evaluation (28000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 22:15:43 > Calculating FID Score....
[INFO] 2020-12-04 22:16:22 > Calculating Inception Score....
[INFO] 2020-12-04 22:16:41 > Calculate F_beta Score....
[INFO] 2020-12-04 22:17:54 > Calculate Accuracies....
[INFO] 2020-12-04 22:18:05 > Calculate Accuracies....
[INFO] 2020-12-04 22:18:07 > F_8 score (Step: 28000, Using test images): 0.9825087219581813
[INFO] 2020-12-04 22:18:07 > F_1/8 score (Step: 28000, Using test images): 0.9895102358433683
[INFO] 2020-12-04 22:18:07 > FID score (Step: 28000, Using test moments): 11.247386188519044
[INFO] 2020-12-04 22:18:07 > Inception score (Step: 28000, 10000 generated images): 9.604863166809082
[INFO] 2020-12-04 22:18:07 > Best FID score (Step: 28000, Using test moments): 11.247386188519044
[INFO] 2020-12-04 22:18:09 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 22:19:52 > Step: 28100 Progress: 28.1% Elapsed: 8:28:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.96104 Generator_loss: 1.23742
[INFO] 2020-12-04 22:21:39 > Step: 28200 Progress: 28.2% Elapsed: 8:29:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.76568 Generator_loss: 1.69419
[INFO] 2020-12-04 22:23:25 > Step: 28300 Progress: 28.3% Elapsed: 8:31:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.92032 Generator_loss: 1.91313
[INFO] 2020-12-04 22:25:12 > Step: 28400 Progress: 28.4% Elapsed: 8:33:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.73538 Generator_loss: 2.48095
[INFO] 2020-12-04 22:27:01 > Step: 28500 Progress: 28.5% Elapsed: 8:35:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.69639 Generator_loss: 1.98158
[INFO] 2020-12-04 22:28:51 > Step: 28600 Progress: 28.6% Elapsed: 8:37:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.9381 Generator_loss: 2.19664
[INFO] 2020-12-04 22:30:40 > Step: 28700 Progress: 28.7% Elapsed: 8:38:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.82468 Generator_loss: 1.65853
[INFO] 2020-12-04 22:32:26 > Step: 28800 Progress: 28.8% Elapsed: 8:40:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.97359 Generator_loss: 1.60484
[INFO] 2020-12-04 22:34:15 > Step: 28900 Progress: 28.9% Elapsed: 8:42:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.85205 Generator_loss: 1.42651
[INFO] 2020-12-04 22:35:43 > Step: 29000 Progress: 29.0% Elapsed: 8:43:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.79197 Generator_loss: 1.48104
[INFO] 2020-12-04 22:37:16 > Step: 29100 Progress: 29.1% Elapsed: 8:45:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.01371 Generator_loss: 1.60401
[INFO] 2020-12-04 22:38:58 > Step: 29200 Progress: 29.2% Elapsed: 8:47:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.0572 Generator_loss: 1.4679
[INFO] 2020-12-04 22:40:24 > Step: 29300 Progress: 29.3% Elapsed: 8:48:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.92578 Generator_loss: 1.74791
[INFO] 2020-12-04 22:42:02 > Step: 29400 Progress: 29.4% Elapsed: 8:50:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.78152 Generator_loss: 2.16201
[INFO] 2020-12-04 22:43:46 > Step: 29500 Progress: 29.5% Elapsed: 8:51:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.65619 Generator_loss: 2.0138
[INFO] 2020-12-04 22:45:28 > Step: 29600 Progress: 29.6% Elapsed: 8:53:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.87026 Generator_loss: 1.49008
[INFO] 2020-12-04 22:47:10 > Step: 29700 Progress: 29.7% Elapsed: 8:55:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.83348 Generator_loss: 1.64862
[INFO] 2020-12-04 22:48:49 > Step: 29800 Progress: 29.8% Elapsed: 8:57:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.81076 Generator_loss: 1.7485
[INFO] 2020-12-04 22:50:31 > Step: 29900 Progress: 29.9% Elapsed: 8:58:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.85408 Generator_loss: 1.80685
[INFO] 2020-12-04 22:52:08 > Step: 30000 Progress: 30.0% Elapsed: 9:00:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.02341 Generator_loss: 1.38482
[INFO] 2020-12-04 22:52:08 > Start Evaluation (30000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 22:52:08 > Calculating FID Score....
[INFO] 2020-12-04 22:52:45 > Calculating Inception Score....
[INFO] 2020-12-04 22:53:03 > Calculate F_beta Score....
[INFO] 2020-12-04 22:54:22 > Calculate Accuracies....
[INFO] 2020-12-04 22:54:32 > Calculate Accuracies....
[INFO] 2020-12-04 22:54:35 > F_8 score (Step: 30000, Using test images): 0.9874709963294832
[INFO] 2020-12-04 22:54:35 > F_1/8 score (Step: 30000, Using test images): 0.990326208595545
[INFO] 2020-12-04 22:54:35 > FID score (Step: 30000, Using test moments): 10.99082085762484
[INFO] 2020-12-04 22:54:35 > Inception score (Step: 30000, 10000 generated images): 9.54940128326416
[INFO] 2020-12-04 22:54:35 > Best FID score (Step: 30000, Using test moments): 10.99082085762484
[INFO] 2020-12-04 22:54:37 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 22:56:20 > Step: 30100 Progress: 30.1% Elapsed: 9:04:32 temperature: 1.0 ada_p: No Discriminator_loss: 3.24858 Generator_loss: 0.782118
[INFO] 2020-12-04 22:58:01 > Step: 30200 Progress: 30.2% Elapsed: 9:06:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.84926 Generator_loss: 1.64177
[INFO] 2020-12-04 22:59:42 > Step: 30300 Progress: 30.3% Elapsed: 9:07:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.74366 Generator_loss: 1.74459
[INFO] 2020-12-04 23:01:28 > Step: 30400 Progress: 30.4% Elapsed: 9:09:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.96597 Generator_loss: 1.70263
[INFO] 2020-12-04 23:03:13 > Step: 30500 Progress: 30.5% Elapsed: 9:11:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.87683 Generator_loss: 1.6724
[INFO] 2020-12-04 23:04:55 > Step: 30600 Progress: 30.6% Elapsed: 9:13:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.82998 Generator_loss: 1.92136
[INFO] 2020-12-04 23:06:35 > Step: 30700 Progress: 30.7% Elapsed: 9:14:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.92591 Generator_loss: 2.26419
[INFO] 2020-12-04 23:08:12 > Step: 30800 Progress: 30.8% Elapsed: 9:16:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.06431 Generator_loss: 1.37081
[INFO] 2020-12-04 23:09:45 > Step: 30900 Progress: 30.9% Elapsed: 9:17:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.79045 Generator_loss: 1.52843
[INFO] 2020-12-04 23:11:15 > Step: 31000 Progress: 31.0% Elapsed: 9:19:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.54569 Generator_loss: 2.23486
[INFO] 2020-12-04 23:12:51 > Step: 31100 Progress: 31.1% Elapsed: 9:21:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.77435 Generator_loss: 1.76239
[INFO] 2020-12-04 23:14:28 > Step: 31200 Progress: 31.2% Elapsed: 9:22:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.93291 Generator_loss: 1.73468
[INFO] 2020-12-04 23:16:12 > Step: 31300 Progress: 31.3% Elapsed: 9:24:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.58103 Generator_loss: 2.0612
[INFO] 2020-12-04 23:17:55 > Step: 31400 Progress: 31.4% Elapsed: 9:26:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.90243 Generator_loss: 1.4491
[INFO] 2020-12-04 23:19:38 > Step: 31500 Progress: 31.5% Elapsed: 9:27:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.7214 Generator_loss: 1.69288
[INFO] 2020-12-04 23:21:23 > Step: 31600 Progress: 31.6% Elapsed: 9:29:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.88357 Generator_loss: 2.06102
[INFO] 2020-12-04 23:23:05 > Step: 31700 Progress: 31.7% Elapsed: 9:31:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.93926 Generator_loss: 1.66638
[INFO] 2020-12-04 23:24:47 > Step: 31800 Progress: 31.8% Elapsed: 9:32:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.79891 Generator_loss: 1.9113
[INFO] 2020-12-04 23:26:28 > Step: 31900 Progress: 31.9% Elapsed: 9:34:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.89631 Generator_loss: 1.48706
[INFO] 2020-12-04 23:28:10 > Step: 32000 Progress: 32.0% Elapsed: 9:36:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.00618 Generator_loss: 1.34755
[INFO] 2020-12-04 23:28:10 > Start Evaluation (32000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 23:28:10 > Calculating FID Score....
[INFO] 2020-12-04 23:28:48 > Calculating Inception Score....
[INFO] 2020-12-04 23:29:08 > Calculate F_beta Score....
[INFO] 2020-12-04 23:30:22 > Calculate Accuracies....
[INFO] 2020-12-04 23:30:32 > Calculate Accuracies....
[INFO] 2020-12-04 23:30:34 > F_8 score (Step: 32000, Using test images): 0.9857531169208037
[INFO] 2020-12-04 23:30:34 > F_1/8 score (Step: 32000, Using test images): 0.9898109938565426
[INFO] 2020-12-04 23:30:35 > FID score (Step: 32000, Using test moments): 10.60540403708859
[INFO] 2020-12-04 23:30:35 > Inception score (Step: 32000, 10000 generated images): 9.337335586547852
[INFO] 2020-12-04 23:30:35 > Best FID score (Step: 32000, Using test moments): 10.60540403708859
[INFO] 2020-12-04 23:30:36 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-04 23:32:17 > Step: 32100 Progress: 32.1% Elapsed: 9:40:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.68178 Generator_loss: 1.48804
[INFO] 2020-12-04 23:33:59 > Step: 32200 Progress: 32.2% Elapsed: 9:42:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.78309 Generator_loss: 1.77925
[INFO] 2020-12-04 23:35:35 > Step: 32300 Progress: 32.3% Elapsed: 9:43:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.92678 Generator_loss: 1.46068
[INFO] 2020-12-04 23:37:24 > Step: 32400 Progress: 32.4% Elapsed: 9:45:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.80713 Generator_loss: 1.77833
[INFO] 2020-12-04 23:39:07 > Step: 32500 Progress: 32.5% Elapsed: 9:47:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.01687 Generator_loss: 1.36931
[INFO] 2020-12-04 23:40:48 > Step: 32600 Progress: 32.6% Elapsed: 9:49:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.9587 Generator_loss: 1.05986
[INFO] 2020-12-04 23:42:38 > Step: 32700 Progress: 32.7% Elapsed: 9:50:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.85086 Generator_loss: 2.07453
[INFO] 2020-12-04 23:44:17 > Step: 32800 Progress: 32.8% Elapsed: 9:52:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.73473 Generator_loss: 2.1274
[INFO] 2020-12-04 23:45:38 > Step: 32900 Progress: 32.9% Elapsed: 9:53:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.82691 Generator_loss: 1.5312
[INFO] 2020-12-04 23:47:04 > Step: 33000 Progress: 33.0% Elapsed: 9:55:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.88508 Generator_loss: 1.46121
[INFO] 2020-12-04 23:48:40 > Step: 33100 Progress: 33.1% Elapsed: 9:56:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.06396 Generator_loss: 1.45743
[INFO] 2020-12-04 23:50:20 > Step: 33200 Progress: 33.2% Elapsed: 9:58:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.68646 Generator_loss: 2.0331
[INFO] 2020-12-04 23:52:01 > Step: 33300 Progress: 33.3% Elapsed: 10:00:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.7519 Generator_loss: 2.01158
[INFO] 2020-12-04 23:53:47 > Step: 33400 Progress: 33.4% Elapsed: 10:01:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.00202 Generator_loss: 1.58473
[INFO] 2020-12-04 23:55:34 > Step: 33500 Progress: 33.5% Elapsed: 10:03:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.77662 Generator_loss: 1.85871
[INFO] 2020-12-04 23:57:18 > Step: 33600 Progress: 33.6% Elapsed: 10:05:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.72543 Generator_loss: 1.62412
[INFO] 2020-12-04 23:58:59 > Step: 33700 Progress: 33.7% Elapsed: 10:07:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.76353 Generator_loss: 1.52612
[INFO] 2020-12-05 00:00:46 > Step: 33800 Progress: 33.8% Elapsed: 10:08:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.75767 Generator_loss: 1.83477
[INFO] 2020-12-05 00:02:31 > Step: 33900 Progress: 33.9% Elapsed: 10:10:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.99832 Generator_loss: 1.45828
[INFO] 2020-12-05 00:04:15 > Step: 34000 Progress: 34.0% Elapsed: 10:12:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.78207 Generator_loss: 1.79832
[INFO] 2020-12-05 00:04:15 > Start Evaluation (34000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 00:04:15 > Calculating FID Score....
[INFO] 2020-12-05 00:04:56 > Calculating Inception Score....
[INFO] 2020-12-05 00:05:15 > Calculate F_beta Score....
[INFO] 2020-12-05 00:06:30 > Calculate Accuracies....
[INFO] 2020-12-05 00:06:42 > Calculate Accuracies....
[INFO] 2020-12-05 00:06:45 > F_8 score (Step: 34000, Using test images): 0.9899412258508976
[INFO] 2020-12-05 00:06:45 > F_1/8 score (Step: 34000, Using test images): 0.99193453891143
[INFO] 2020-12-05 00:06:45 > FID score (Step: 34000, Using test moments): 10.263603500478382
[INFO] 2020-12-05 00:06:45 > Inception score (Step: 34000, 10000 generated images): 9.836129188537598
[INFO] 2020-12-05 00:06:45 > Best FID score (Step: 34000, Using test moments): 10.263603500478382
[INFO] 2020-12-05 00:06:48 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 00:08:30 > Step: 34100 Progress: 34.1% Elapsed: 10:16:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.81424 Generator_loss: 2.03734
[INFO] 2020-12-05 00:10:14 > Step: 34200 Progress: 34.2% Elapsed: 10:18:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.79055 Generator_loss: 1.75642
[INFO] 2020-12-05 00:12:00 > Step: 34300 Progress: 34.3% Elapsed: 10:20:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.7361 Generator_loss: 2.16057
[INFO] 2020-12-05 00:13:44 > Step: 34400 Progress: 34.4% Elapsed: 10:21:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.7241 Generator_loss: 1.5962
[INFO] 2020-12-05 00:15:28 > Step: 34500 Progress: 34.5% Elapsed: 10:23:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.74269 Generator_loss: 2.18007
[INFO] 2020-12-05 00:17:14 > Step: 34600 Progress: 34.6% Elapsed: 10:25:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.827 Generator_loss: 1.94145
[INFO] 2020-12-05 00:18:56 > Step: 34700 Progress: 34.7% Elapsed: 10:27:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.9066 Generator_loss: 1.64057
[INFO] 2020-12-05 00:20:28 > Step: 34800 Progress: 34.8% Elapsed: 10:28:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.73121 Generator_loss: 2.11831
[INFO] 2020-12-05 00:22:07 > Step: 34900 Progress: 34.9% Elapsed: 10:30:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.90658 Generator_loss: 2.15382
[INFO] 2020-12-05 00:23:52 > Step: 35000 Progress: 35.0% Elapsed: 10:32:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.68223 Generator_loss: 1.47225
[INFO] 2020-12-05 00:25:40 > Step: 35100 Progress: 35.1% Elapsed: 10:33:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.71891 Generator_loss: 1.80604
[INFO] 2020-12-05 00:27:29 > Step: 35200 Progress: 35.2% Elapsed: 10:35:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.7065 Generator_loss: 2.21822
[INFO] 2020-12-05 00:29:18 > Step: 35300 Progress: 35.3% Elapsed: 10:37:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.82731 Generator_loss: 1.39019
[INFO] 2020-12-05 00:31:02 > Step: 35400 Progress: 35.4% Elapsed: 10:39:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.77572 Generator_loss: 1.66981
[INFO] 2020-12-05 00:32:53 > Step: 35500 Progress: 35.5% Elapsed: 10:41:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.85964 Generator_loss: 1.97839
[INFO] 2020-12-05 00:34:37 > Step: 35600 Progress: 35.6% Elapsed: 10:42:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.6624 Generator_loss: 1.5606
[INFO] 2020-12-05 00:36:26 > Step: 35700 Progress: 35.7% Elapsed: 10:44:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.7186 Generator_loss: 2.09423
[INFO] 2020-12-05 00:38:07 > Step: 35800 Progress: 35.8% Elapsed: 10:46:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.84279 Generator_loss: 1.72133
[INFO] 2020-12-05 00:39:45 > Step: 35900 Progress: 35.9% Elapsed: 10:47:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.9111 Generator_loss: 1.55971
[INFO] 2020-12-05 00:41:22 > Step: 36000 Progress: 36.0% Elapsed: 10:49:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.78906 Generator_loss: 1.72176
[INFO] 2020-12-05 00:41:22 > Start Evaluation (36000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 00:41:22 > Calculating FID Score....
[INFO] 2020-12-05 00:42:00 > Calculating Inception Score....
[INFO] 2020-12-05 00:42:20 > Calculate F_beta Score....
[INFO] 2020-12-05 00:43:37 > Calculate Accuracies....
[INFO] 2020-12-05 00:43:48 > Calculate Accuracies....
[INFO] 2020-12-05 00:43:51 > F_8 score (Step: 36000, Using test images): 0.9891255225245267
[INFO] 2020-12-05 00:43:51 > F_1/8 score (Step: 36000, Using test images): 0.9931536827203533
[INFO] 2020-12-05 00:43:51 > FID score (Step: 36000, Using test moments): 10.12127601841894
[INFO] 2020-12-05 00:43:51 > Inception score (Step: 36000, 10000 generated images): 9.685664176940918
[INFO] 2020-12-05 00:43:51 > Best FID score (Step: 36000, Using test moments): 10.12127601841894
[INFO] 2020-12-05 00:43:53 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 00:45:35 > Step: 36100 Progress: 36.1% Elapsed: 10:53:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.72942 Generator_loss: 1.92167
[INFO] 2020-12-05 00:47:17 > Step: 36200 Progress: 36.2% Elapsed: 10:55:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.79672 Generator_loss: 2.36204
[INFO] 2020-12-05 00:48:55 > Step: 36300 Progress: 36.3% Elapsed: 10:57:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.7617 Generator_loss: 2.11397
[INFO] 2020-12-05 00:50:24 > Step: 36400 Progress: 36.4% Elapsed: 10:58:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.67601 Generator_loss: 1.95989
[INFO] 2020-12-05 00:52:00 > Step: 36500 Progress: 36.5% Elapsed: 11:00:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.96755 Generator_loss: 1.47546
[INFO] 2020-12-05 00:53:40 > Step: 36600 Progress: 36.6% Elapsed: 11:01:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.99454 Generator_loss: 1.12752
[INFO] 2020-12-05 00:55:09 > Step: 36700 Progress: 36.7% Elapsed: 11:03:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.82269 Generator_loss: 1.27826
[INFO] 2020-12-05 00:56:49 > Step: 36800 Progress: 36.8% Elapsed: 11:05:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.63599 Generator_loss: 1.91708
[INFO] 2020-12-05 00:58:33 > Step: 36900 Progress: 36.9% Elapsed: 11:06:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.59975 Generator_loss: 1.82082
[INFO] 2020-12-05 01:00:29 > Step: 37000 Progress: 37.0% Elapsed: 11:08:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.81003 Generator_loss: 0.94066
[INFO] 2020-12-05 01:02:14 > Step: 37100 Progress: 37.1% Elapsed: 11:10:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.00082 Generator_loss: 1.58046
[INFO] 2020-12-05 01:03:59 > Step: 37200 Progress: 37.2% Elapsed: 11:12:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.62806 Generator_loss: 1.96314
[INFO] 2020-12-05 01:05:40 > Step: 37300 Progress: 37.3% Elapsed: 11:13:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.83628 Generator_loss: 1.77428
[INFO] 2020-12-05 01:07:28 > Step: 37400 Progress: 37.4% Elapsed: 11:15:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.89279 Generator_loss: 1.88181
[INFO] 2020-12-05 01:09:16 > Step: 37500 Progress: 37.5% Elapsed: 11:17:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.90215 Generator_loss: 1.68843
[INFO] 2020-12-05 01:11:03 > Step: 37600 Progress: 37.6% Elapsed: 11:19:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.55358 Generator_loss: 2.21343
[INFO] 2020-12-05 01:12:52 > Step: 37700 Progress: 37.7% Elapsed: 11:21:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.96565 Generator_loss: 1.28408
[INFO] 2020-12-05 01:14:38 > Step: 37800 Progress: 37.8% Elapsed: 11:22:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.96169 Generator_loss: 1.17185
[INFO] 2020-12-05 01:16:24 > Step: 37900 Progress: 37.9% Elapsed: 11:24:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.77188 Generator_loss: 2.11524
[INFO] 2020-12-05 01:18:08 > Step: 38000 Progress: 38.0% Elapsed: 11:26:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.94425 Generator_loss: 1.91329
[INFO] 2020-12-05 01:18:08 > Start Evaluation (38000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 01:18:08 > Calculating FID Score....
[INFO] 2020-12-05 01:18:47 > Calculating Inception Score....
[INFO] 2020-12-05 01:19:06 > Calculate F_beta Score....
[INFO] 2020-12-05 01:20:24 > Calculate Accuracies....
[INFO] 2020-12-05 01:20:37 > Calculate Accuracies....
[INFO] 2020-12-05 01:20:40 > F_8 score (Step: 38000, Using test images): 0.9846791882043905
[INFO] 2020-12-05 01:20:40 > F_1/8 score (Step: 38000, Using test images): 0.9923842402562989
[INFO] 2020-12-05 01:20:40 > FID score (Step: 38000, Using test moments): 9.924915150198842
[INFO] 2020-12-05 01:20:40 > Inception score (Step: 38000, 10000 generated images): 9.592960357666016
[INFO] 2020-12-05 01:20:40 > Best FID score (Step: 38000, Using test moments): 9.924915150198842
[INFO] 2020-12-05 01:20:42 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 01:22:31 > Step: 38100 Progress: 38.1% Elapsed: 11:30:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.89556 Generator_loss: 1.80153
[INFO] 2020-12-05 01:24:26 > Step: 38200 Progress: 38.2% Elapsed: 11:32:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.67546 Generator_loss: 1.69825
[INFO] 2020-12-05 01:26:16 > Step: 38300 Progress: 38.3% Elapsed: 11:34:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.10108 Generator_loss: 1.25171
[INFO] 2020-12-05 01:27:49 > Step: 38400 Progress: 38.4% Elapsed: 11:36:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.90722 Generator_loss: 1.59739
[INFO] 2020-12-05 01:29:22 > Step: 38500 Progress: 38.5% Elapsed: 11:37:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.76839 Generator_loss: 1.61526
[INFO] 2020-12-05 01:31:10 > Step: 38600 Progress: 38.6% Elapsed: 11:39:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.82833 Generator_loss: 2.19683
[INFO] 2020-12-05 01:32:53 > Step: 38700 Progress: 38.7% Elapsed: 11:41:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.86363 Generator_loss: 1.77088
[INFO] 2020-12-05 01:34:35 > Step: 38800 Progress: 38.8% Elapsed: 11:42:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.90894 Generator_loss: 1.53857
[INFO] 2020-12-05 01:36:16 > Step: 38900 Progress: 38.9% Elapsed: 11:44:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.76402 Generator_loss: 1.32963
[INFO] 2020-12-05 01:38:03 > Step: 39000 Progress: 39.0% Elapsed: 11:46:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.74765 Generator_loss: 1.83286
[INFO] 2020-12-05 01:39:48 > Step: 39100 Progress: 39.1% Elapsed: 11:48:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.90739 Generator_loss: 1.36613
[INFO] 2020-12-05 01:41:29 > Step: 39200 Progress: 39.2% Elapsed: 11:49:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.71884 Generator_loss: 1.78203
[INFO] 2020-12-05 01:43:20 > Step: 39300 Progress: 39.3% Elapsed: 11:51:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.79513 Generator_loss: 1.83945
[INFO] 2020-12-05 01:45:07 > Step: 39400 Progress: 39.4% Elapsed: 11:53:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.85903 Generator_loss: 1.9917
[INFO] 2020-12-05 01:46:52 > Step: 39500 Progress: 39.5% Elapsed: 11:55:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.91823 Generator_loss: 1.78401
[INFO] 2020-12-05 01:48:35 > Step: 39600 Progress: 39.6% Elapsed: 11:56:47 temperature: 1.0 ada_p: No Discriminator_loss: 3.20056 Generator_loss: 1.20601
[INFO] 2020-12-05 01:50:21 > Step: 39700 Progress: 39.7% Elapsed: 11:58:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.81732 Generator_loss: 1.78512
[INFO] 2020-12-05 01:51:58 > Step: 39800 Progress: 39.8% Elapsed: 12:00:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.75962 Generator_loss: 2.15608
[INFO] 2020-12-05 01:53:31 > Step: 39900 Progress: 39.9% Elapsed: 12:01:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.64458 Generator_loss: 2.16199
[INFO] 2020-12-05 01:55:06 > Step: 40000 Progress: 40.0% Elapsed: 12:03:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.66838 Generator_loss: 1.53164
[INFO] 2020-12-05 01:55:06 > Start Evaluation (40000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 01:55:06 > Calculating FID Score....
[INFO] 2020-12-05 01:55:43 > Calculating Inception Score....
[INFO] 2020-12-05 01:56:03 > Calculate F_beta Score....
[INFO] 2020-12-05 01:57:14 > Calculate Accuracies....
[INFO] 2020-12-05 01:57:25 > Calculate Accuracies....
[INFO] 2020-12-05 01:57:28 > F_8 score (Step: 40000, Using test images): 0.9922014992258815
[INFO] 2020-12-05 01:57:28 > F_1/8 score (Step: 40000, Using test images): 0.9933022039769739
[INFO] 2020-12-05 01:57:28 > FID score (Step: 40000, Using test moments): 9.618602017136936
[INFO] 2020-12-05 01:57:28 > Inception score (Step: 40000, 10000 generated images): 9.519219398498535
[INFO] 2020-12-05 01:57:28 > Best FID score (Step: 40000, Using test moments): 9.618602017136936
[INFO] 2020-12-05 01:57:30 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 01:59:07 > Step: 40100 Progress: 40.1% Elapsed: 12:07:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.01733 Generator_loss: 1.54855
[INFO] 2020-12-05 02:00:44 > Step: 40200 Progress: 40.2% Elapsed: 12:08:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.52335 Generator_loss: 2.33598
[INFO] 2020-12-05 02:02:16 > Step: 40300 Progress: 40.3% Elapsed: 12:10:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.08221 Generator_loss: 1.30503
[INFO] 2020-12-05 02:03:56 > Step: 40400 Progress: 40.4% Elapsed: 12:12:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.76562 Generator_loss: 1.85206
[INFO] 2020-12-05 02:05:40 > Step: 40500 Progress: 40.5% Elapsed: 12:13:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.57158 Generator_loss: 2.39966
[INFO] 2020-12-05 02:07:21 > Step: 40600 Progress: 40.6% Elapsed: 12:15:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.81517 Generator_loss: 1.9931
[INFO] 2020-12-05 02:09:05 > Step: 40700 Progress: 40.7% Elapsed: 12:17:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.80809 Generator_loss: 1.84788
[INFO] 2020-12-05 02:10:49 > Step: 40800 Progress: 40.8% Elapsed: 12:19:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.89437 Generator_loss: 1.4798
[INFO] 2020-12-05 02:12:33 > Step: 40900 Progress: 40.9% Elapsed: 12:20:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.6054 Generator_loss: 2.21159
[INFO] 2020-12-05 02:14:21 > Step: 41000 Progress: 41.0% Elapsed: 12:22:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.74947 Generator_loss: 1.58097
[INFO] 2020-12-05 02:16:09 > Step: 41100 Progress: 41.1% Elapsed: 12:24:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.68928 Generator_loss: 1.8072
[INFO] 2020-12-05 02:17:53 > Step: 41200 Progress: 41.2% Elapsed: 12:26:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.72324 Generator_loss: 1.54144
[INFO] 2020-12-05 02:19:40 > Step: 41300 Progress: 41.3% Elapsed: 12:27:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.90105 Generator_loss: 1.93214
[INFO] 2020-12-05 02:21:22 > Step: 41400 Progress: 41.4% Elapsed: 12:29:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.80333 Generator_loss: 1.66543
[INFO] 2020-12-05 02:23:04 > Step: 41500 Progress: 41.5% Elapsed: 12:31:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.84254 Generator_loss: 2.31893
[INFO] 2020-12-05 02:24:46 > Step: 41600 Progress: 41.6% Elapsed: 12:32:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.83903 Generator_loss: 1.3738
[INFO] 2020-12-05 02:26:25 > Step: 41700 Progress: 41.7% Elapsed: 12:34:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.88384 Generator_loss: 2.02677
[INFO] 2020-12-05 02:28:01 > Step: 41800 Progress: 41.8% Elapsed: 12:36:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.72129 Generator_loss: 1.84882
[INFO] 2020-12-05 02:29:36 > Step: 41900 Progress: 41.9% Elapsed: 12:37:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.84443 Generator_loss: 2.27975
[INFO] 2020-12-05 02:31:06 > Step: 42000 Progress: 42.0% Elapsed: 12:39:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.71223 Generator_loss: 2.01377
[INFO] 2020-12-05 02:31:06 > Start Evaluation (42000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 02:31:06 > Calculating FID Score....
[INFO] 2020-12-05 02:31:43 > Calculating Inception Score....
[INFO] 2020-12-05 02:32:02 > Calculate F_beta Score....
[INFO] 2020-12-05 02:33:16 > Calculate Accuracies....
[INFO] 2020-12-05 02:33:29 > Calculate Accuracies....
[INFO] 2020-12-05 02:33:33 > F_8 score (Step: 42000, Using test images): 0.987869636988224
[INFO] 2020-12-05 02:33:33 > F_1/8 score (Step: 42000, Using test images): 0.9929563127190372
[INFO] 2020-12-05 02:33:33 > FID score (Step: 42000, Using test moments): 9.392999900627728
[INFO] 2020-12-05 02:33:33 > Inception score (Step: 42000, 10000 generated images): 9.830348014831543
[INFO] 2020-12-05 02:33:33 > Best FID score (Step: 42000, Using test moments): 9.392999900627728
[INFO] 2020-12-05 02:33:35 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 02:35:20 > Step: 42100 Progress: 42.1% Elapsed: 12:43:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.86279 Generator_loss: 1.87504
[INFO] 2020-12-05 02:36:49 > Step: 42200 Progress: 42.2% Elapsed: 12:45:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.6964 Generator_loss: 1.98568
[INFO] 2020-12-05 02:38:26 > Step: 42300 Progress: 42.3% Elapsed: 12:46:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.78654 Generator_loss: 1.58167
[INFO] 2020-12-05 02:40:13 > Step: 42400 Progress: 42.4% Elapsed: 12:48:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.78592 Generator_loss: 1.30112
[INFO] 2020-12-05 02:41:59 > Step: 42500 Progress: 42.5% Elapsed: 12:50:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.61439 Generator_loss: 1.74662
[INFO] 2020-12-05 02:43:42 > Step: 42600 Progress: 42.6% Elapsed: 12:51:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.9132 Generator_loss: 1.31543
[INFO] 2020-12-05 02:45:29 > Step: 42700 Progress: 42.7% Elapsed: 12:53:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.78356 Generator_loss: 1.99635
[INFO] 2020-12-05 02:47:15 > Step: 42800 Progress: 42.8% Elapsed: 12:55:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.84036 Generator_loss: 1.87245
[INFO] 2020-12-05 02:49:00 > Step: 42900 Progress: 42.9% Elapsed: 12:57:12 temperature: 1.0 ada_p: No Discriminator_loss: 3.16064 Generator_loss: 0.898415
[INFO] 2020-12-05 02:50:43 > Step: 43000 Progress: 43.0% Elapsed: 12:58:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.02751 Generator_loss: 1.20635
[INFO] 2020-12-05 02:52:25 > Step: 43100 Progress: 43.1% Elapsed: 13:00:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.65236 Generator_loss: 1.97959
[INFO] 2020-12-05 02:54:10 > Step: 43200 Progress: 43.2% Elapsed: 13:02:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.80841 Generator_loss: 2.16454
[INFO] 2020-12-05 02:55:54 > Step: 43300 Progress: 43.3% Elapsed: 13:04:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.76903 Generator_loss: 1.64664
[INFO] 2020-12-05 02:57:29 > Step: 43400 Progress: 43.4% Elapsed: 13:05:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.84233 Generator_loss: 1.37664
[INFO] 2020-12-05 02:59:11 > Step: 43500 Progress: 43.5% Elapsed: 13:07:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.61709 Generator_loss: 1.86054
[INFO] 2020-12-05 03:00:53 > Step: 43600 Progress: 43.6% Elapsed: 13:09:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.76111 Generator_loss: 1.61718
[INFO] 2020-12-05 03:02:34 > Step: 43700 Progress: 43.7% Elapsed: 13:10:46 temperature: 1.0 ada_p: No Discriminator_loss: 3.07093 Generator_loss: 2.03613
[INFO] 2020-12-05 03:04:14 > Step: 43800 Progress: 43.8% Elapsed: 13:12:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.98061 Generator_loss: 1.74119
[INFO] 2020-12-05 03:05:53 > Step: 43900 Progress: 43.9% Elapsed: 13:14:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.83939 Generator_loss: 1.52774
[INFO] 2020-12-05 03:07:25 > Step: 44000 Progress: 44.0% Elapsed: 13:15:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.81317 Generator_loss: 1.64825
[INFO] 2020-12-05 03:07:25 > Start Evaluation (44000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 03:07:25 > Calculating FID Score....
[INFO] 2020-12-05 03:08:03 > Calculating Inception Score....
[INFO] 2020-12-05 03:08:23 > Calculate F_beta Score....
[INFO] 2020-12-05 03:09:33 > Calculate Accuracies....
[INFO] 2020-12-05 03:09:44 > Calculate Accuracies....
[INFO] 2020-12-05 03:09:47 > F_8 score (Step: 44000, Using test images): 0.988365135067638
[INFO] 2020-12-05 03:09:47 > F_1/8 score (Step: 44000, Using test images): 0.9941219412380259
[INFO] 2020-12-05 03:09:47 > FID score (Step: 44000, Using test moments): 9.339998278546602
[INFO] 2020-12-05 03:09:47 > Inception score (Step: 44000, 10000 generated images): 9.694889068603516
[INFO] 2020-12-05 03:09:47 > Best FID score (Step: 44000, Using test moments): 9.339998278546602
[INFO] 2020-12-05 03:09:49 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 03:11:20 > Step: 44100 Progress: 44.1% Elapsed: 13:19:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.67484 Generator_loss: 1.98477
[INFO] 2020-12-05 03:12:56 > Step: 44200 Progress: 44.2% Elapsed: 13:21:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.10533 Generator_loss: 1.70574
[INFO] 2020-12-05 03:14:33 > Step: 44300 Progress: 44.3% Elapsed: 13:22:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.7338 Generator_loss: 2.04858
[INFO] 2020-12-05 03:16:14 > Step: 44400 Progress: 44.4% Elapsed: 13:24:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.52855 Generator_loss: 2.29191
[INFO] 2020-12-05 03:17:53 > Step: 44500 Progress: 44.5% Elapsed: 13:26:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.91676 Generator_loss: 1.80309
[INFO] 2020-12-05 03:19:32 > Step: 44600 Progress: 44.6% Elapsed: 13:27:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.73629 Generator_loss: 2.00732
[INFO] 2020-12-05 03:21:16 > Step: 44700 Progress: 44.7% Elapsed: 13:29:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.58273 Generator_loss: 1.71566
[INFO] 2020-12-05 03:22:58 > Step: 44800 Progress: 44.8% Elapsed: 13:31:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.74782 Generator_loss: 2.1872
[INFO] 2020-12-05 03:24:43 > Step: 44900 Progress: 44.9% Elapsed: 13:32:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.83979 Generator_loss: 1.45372
[INFO] 2020-12-05 03:26:29 > Step: 45000 Progress: 45.0% Elapsed: 13:34:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.79443 Generator_loss: 1.70584
[INFO] 2020-12-05 03:28:13 > Step: 45100 Progress: 45.1% Elapsed: 13:36:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.65695 Generator_loss: 2.11618
[INFO] 2020-12-05 03:29:58 > Step: 45200 Progress: 45.2% Elapsed: 13:38:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.64671 Generator_loss: 2.28438
[INFO] 2020-12-05 03:31:45 > Step: 45300 Progress: 45.3% Elapsed: 13:39:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.70081 Generator_loss: 2.35642
[INFO] 2020-12-05 03:33:31 > Step: 45400 Progress: 45.4% Elapsed: 13:41:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.05448 Generator_loss: 0.848176
[INFO] 2020-12-05 03:35:17 > Step: 45500 Progress: 45.5% Elapsed: 13:43:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.64455 Generator_loss: 1.4917
[INFO] 2020-12-05 03:37:00 > Step: 45600 Progress: 45.6% Elapsed: 13:45:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.7578 Generator_loss: 2.30247
[INFO] 2020-12-05 03:38:49 > Step: 45700 Progress: 45.7% Elapsed: 13:47:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.57912 Generator_loss: 1.85996
[INFO] 2020-12-05 03:40:37 > Step: 45800 Progress: 45.8% Elapsed: 13:48:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.98284 Generator_loss: 1.69305
[INFO] 2020-12-05 03:42:20 > Step: 45900 Progress: 45.9% Elapsed: 13:50:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.78447 Generator_loss: 2.10869
[INFO] 2020-12-05 03:43:59 > Step: 46000 Progress: 46.0% Elapsed: 13:52:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.8358 Generator_loss: 1.61839
[INFO] 2020-12-05 03:43:59 > Start Evaluation (46000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 03:43:59 > Calculating FID Score....
[INFO] 2020-12-05 03:44:35 > Calculating Inception Score....
[INFO] 2020-12-05 03:44:54 > Calculate F_beta Score....
[INFO] 2020-12-05 03:46:06 > Calculate Accuracies....
[INFO] 2020-12-05 03:46:19 > Calculate Accuracies....
[INFO] 2020-12-05 03:46:22 > F_8 score (Step: 46000, Using test images): 0.9890869183644897
[INFO] 2020-12-05 03:46:22 > F_1/8 score (Step: 46000, Using test images): 0.9943230656522362
[INFO] 2020-12-05 03:46:22 > FID score (Step: 46000, Using test moments): 9.28495397978429
[INFO] 2020-12-05 03:46:22 > Inception score (Step: 46000, 10000 generated images): 9.68099308013916
[INFO] 2020-12-05 03:46:22 > Best FID score (Step: 46000, Using test moments): 9.28495397978429
[INFO] 2020-12-05 03:46:24 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 03:48:07 > Step: 46100 Progress: 46.1% Elapsed: 13:56:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.77288 Generator_loss: 2.21502
[INFO] 2020-12-05 03:49:53 > Step: 46200 Progress: 46.2% Elapsed: 13:58:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.8066 Generator_loss: 1.90898
[INFO] 2020-12-05 03:51:41 > Step: 46300 Progress: 46.3% Elapsed: 13:59:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.73567 Generator_loss: 1.88463
[INFO] 2020-12-05 03:53:31 > Step: 46400 Progress: 46.4% Elapsed: 14:01:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.84414 Generator_loss: 1.90883
[INFO] 2020-12-05 03:55:16 > Step: 46500 Progress: 46.5% Elapsed: 14:03:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.81301 Generator_loss: 1.62905
[INFO] 2020-12-05 03:57:08 > Step: 46600 Progress: 46.6% Elapsed: 14:05:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.05415 Generator_loss: 0.952558
[INFO] 2020-12-05 03:58:53 > Step: 46700 Progress: 46.7% Elapsed: 14:07:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.79233 Generator_loss: 1.52638
[INFO] 2020-12-05 04:00:37 > Step: 46800 Progress: 46.8% Elapsed: 14:08:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.71191 Generator_loss: 2.33794
[INFO] 2020-12-05 04:02:14 > Step: 46900 Progress: 46.9% Elapsed: 14:10:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.80025 Generator_loss: 1.64199
[INFO] 2020-12-05 04:03:45 > Step: 47000 Progress: 47.0% Elapsed: 14:11:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.82845 Generator_loss: 1.79729
[INFO] 2020-12-05 04:05:22 > Step: 47100 Progress: 47.1% Elapsed: 14:13:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.63609 Generator_loss: 2.03879
[INFO] 2020-12-05 04:06:57 > Step: 47200 Progress: 47.2% Elapsed: 14:15:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.84171 Generator_loss: 1.74517
[INFO] 2020-12-05 04:08:33 > Step: 47300 Progress: 47.3% Elapsed: 14:16:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.80314 Generator_loss: 1.46766
[INFO] 2020-12-05 04:10:14 > Step: 47400 Progress: 47.4% Elapsed: 14:18:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.70953 Generator_loss: 2.40272
[INFO] 2020-12-05 04:11:52 > Step: 47500 Progress: 47.5% Elapsed: 14:20:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.74313 Generator_loss: 2.35941
[INFO] 2020-12-05 04:13:32 > Step: 47600 Progress: 47.6% Elapsed: 14:21:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.791 Generator_loss: 1.48965
[INFO] 2020-12-05 04:15:16 > Step: 47700 Progress: 47.7% Elapsed: 14:23:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.75198 Generator_loss: 2.02972
[INFO] 2020-12-05 04:17:04 > Step: 47800 Progress: 47.8% Elapsed: 14:25:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.66748 Generator_loss: 1.64768
[INFO] 2020-12-05 04:18:46 > Step: 47900 Progress: 47.9% Elapsed: 14:26:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.63814 Generator_loss: 2.87137
[INFO] 2020-12-05 04:20:10 > Step: 48000 Progress: 48.0% Elapsed: 14:28:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.87137 Generator_loss: 1.66891
[INFO] 2020-12-05 04:20:10 > Start Evaluation (48000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 04:20:10 > Calculating FID Score....
[INFO] 2020-12-05 04:20:46 > Calculating Inception Score....
[INFO] 2020-12-05 04:21:05 > Calculate F_beta Score....
[INFO] 2020-12-05 04:22:26 > Calculate Accuracies....
[INFO] 2020-12-05 04:22:40 > Calculate Accuracies....
[INFO] 2020-12-05 04:22:44 > F_8 score (Step: 48000, Using test images): 0.9902181243739245
[INFO] 2020-12-05 04:22:44 > F_1/8 score (Step: 48000, Using test images): 0.995767051727044
[INFO] 2020-12-05 04:22:44 > FID score (Step: 48000, Using test moments): 8.919929115674677
[INFO] 2020-12-05 04:22:44 > Inception score (Step: 48000, 10000 generated images): 9.696587562561035
[INFO] 2020-12-05 04:22:44 > Best FID score (Step: 48000, Using test moments): 8.919929115674677
[INFO] 2020-12-05 04:22:46 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 04:24:29 > Step: 48100 Progress: 48.1% Elapsed: 14:32:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.91231 Generator_loss: 1.97548
[INFO] 2020-12-05 04:26:10 > Step: 48200 Progress: 48.2% Elapsed: 14:34:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.91272 Generator_loss: 1.58174
[INFO] 2020-12-05 04:27:53 > Step: 48300 Progress: 48.3% Elapsed: 14:36:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.78861 Generator_loss: 1.53427
[INFO] 2020-12-05 04:29:33 > Step: 48400 Progress: 48.4% Elapsed: 14:37:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.78844 Generator_loss: 1.71476
[INFO] 2020-12-05 04:31:19 > Step: 48500 Progress: 48.5% Elapsed: 14:39:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.60803 Generator_loss: 1.97281
[INFO] 2020-12-05 04:33:07 > Step: 48600 Progress: 48.6% Elapsed: 14:41:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.84055 Generator_loss: 1.99347
[INFO] 2020-12-05 04:34:51 > Step: 48700 Progress: 48.7% Elapsed: 14:43:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.70386 Generator_loss: 2.34853
[INFO] 2020-12-05 04:36:42 > Step: 48800 Progress: 48.8% Elapsed: 14:44:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.78241 Generator_loss: 1.74182
[INFO] 2020-12-05 04:38:31 > Step: 48900 Progress: 48.9% Elapsed: 14:46:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.90987 Generator_loss: 1.81912
[INFO] 2020-12-05 04:40:23 > Step: 49000 Progress: 49.0% Elapsed: 14:48:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.66025 Generator_loss: 1.32936
[INFO] 2020-12-05 04:42:11 > Step: 49100 Progress: 49.1% Elapsed: 14:50:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.94503 Generator_loss: 1.92485
[INFO] 2020-12-05 04:43:52 > Step: 49200 Progress: 49.2% Elapsed: 14:52:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.7773 Generator_loss: 1.79674
[INFO] 2020-12-05 04:45:36 > Step: 49300 Progress: 49.3% Elapsed: 14:53:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.71452 Generator_loss: 1.56167
[INFO] 2020-12-05 04:47:19 > Step: 49400 Progress: 49.4% Elapsed: 14:55:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.76123 Generator_loss: 1.81153
[INFO] 2020-12-05 04:49:01 > Step: 49500 Progress: 49.5% Elapsed: 14:57:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.76622 Generator_loss: 1.29202
[INFO] 2020-12-05 04:50:51 > Step: 49600 Progress: 49.6% Elapsed: 14:59:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.96004 Generator_loss: 1.60636
[INFO] 2020-12-05 04:52:40 > Step: 49700 Progress: 49.7% Elapsed: 15:00:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.73261 Generator_loss: 1.91135
[INFO] 2020-12-05 04:54:11 > Step: 49800 Progress: 49.8% Elapsed: 15:02:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.79048 Generator_loss: 1.51442
[INFO] 2020-12-05 04:55:42 > Step: 49900 Progress: 49.9% Elapsed: 15:03:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.79859 Generator_loss: 1.73433
[INFO] 2020-12-05 04:57:10 > Step: 50000 Progress: 50.0% Elapsed: 15:05:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.677 Generator_loss: 1.71786
[INFO] 2020-12-05 04:57:10 > Start Evaluation (50000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 04:57:10 > Calculating FID Score....
[INFO] 2020-12-05 04:57:48 > Calculating Inception Score....
[INFO] 2020-12-05 04:58:07 > Calculate F_beta Score....
[INFO] 2020-12-05 04:59:30 > Calculate Accuracies....
[INFO] 2020-12-05 04:59:42 > Calculate Accuracies....
[INFO] 2020-12-05 04:59:46 > F_8 score (Step: 50000, Using test images): 0.9906914437104222
[INFO] 2020-12-05 04:59:46 > F_1/8 score (Step: 50000, Using test images): 0.9954524090925052
[INFO] 2020-12-05 04:59:46 > FID score (Step: 50000, Using test moments): 8.914976263793221
[INFO] 2020-12-05 04:59:46 > Inception score (Step: 50000, 10000 generated images): 9.935149192810059
[INFO] 2020-12-05 04:59:46 > Best FID score (Step: 50000, Using test moments): 8.914976263793221
[INFO] 2020-12-05 04:59:47 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 05:01:30 > Step: 50100 Progress: 50.1% Elapsed: 15:09:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.75319 Generator_loss: 1.63978
[INFO] 2020-12-05 05:03:15 > Step: 50200 Progress: 50.2% Elapsed: 15:11:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.57952 Generator_loss: 1.58885
[INFO] 2020-12-05 05:04:58 > Step: 50300 Progress: 50.3% Elapsed: 15:13:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.82513 Generator_loss: 2.21154
[INFO] 2020-12-05 05:06:37 > Step: 50400 Progress: 50.4% Elapsed: 15:14:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.78791 Generator_loss: 1.53913
[INFO] 2020-12-05 05:08:14 > Step: 50500 Progress: 50.5% Elapsed: 15:16:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.73752 Generator_loss: 1.71248
[INFO] 2020-12-05 05:09:49 > Step: 50600 Progress: 50.6% Elapsed: 15:18:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.80809 Generator_loss: 1.79104
[INFO] 2020-12-05 05:11:27 > Step: 50700 Progress: 50.7% Elapsed: 15:19:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.84024 Generator_loss: 1.79197
[INFO] 2020-12-05 05:13:01 > Step: 50800 Progress: 50.8% Elapsed: 15:21:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.70855 Generator_loss: 1.77259
[INFO] 2020-12-05 05:14:34 > Step: 50900 Progress: 50.9% Elapsed: 15:22:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.60101 Generator_loss: 2.1037
[INFO] 2020-12-05 05:16:11 > Step: 51000 Progress: 51.0% Elapsed: 15:24:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.96007 Generator_loss: 1.75398
[INFO] 2020-12-05 05:17:52 > Step: 51100 Progress: 51.1% Elapsed: 15:26:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.69153 Generator_loss: 1.8108
[INFO] 2020-12-05 05:19:31 > Step: 51200 Progress: 51.2% Elapsed: 15:27:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.68277 Generator_loss: 1.84784
[INFO] 2020-12-05 05:21:18 > Step: 51300 Progress: 51.3% Elapsed: 15:29:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.82729 Generator_loss: 1.66929
[INFO] 2020-12-05 05:23:01 > Step: 51400 Progress: 51.4% Elapsed: 15:31:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.84462 Generator_loss: 1.64625
[INFO] 2020-12-05 05:24:45 > Step: 51500 Progress: 51.5% Elapsed: 15:32:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.83627 Generator_loss: 1.86255
[INFO] 2020-12-05 05:26:29 > Step: 51600 Progress: 51.6% Elapsed: 15:34:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.72986 Generator_loss: 2.11424
[INFO] 2020-12-05 05:28:14 > Step: 51700 Progress: 51.7% Elapsed: 15:36:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.05645 Generator_loss: 1.81417
[INFO] 2020-12-05 05:29:47 > Step: 51800 Progress: 51.8% Elapsed: 15:37:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.67279 Generator_loss: 1.53444
[INFO] 2020-12-05 05:31:20 > Step: 51900 Progress: 51.9% Elapsed: 15:39:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.97644 Generator_loss: 1.78974
[INFO] 2020-12-05 05:32:50 > Step: 52000 Progress: 52.0% Elapsed: 15:41:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.77898 Generator_loss: 1.67154
[INFO] 2020-12-05 05:32:50 > Start Evaluation (52000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 05:32:50 > Calculating FID Score....
[INFO] 2020-12-05 05:33:28 > Calculating Inception Score....
[INFO] 2020-12-05 05:33:47 > Calculate F_beta Score....
[INFO] 2020-12-05 05:35:04 > Calculate Accuracies....
[INFO] 2020-12-05 05:35:16 > Calculate Accuracies....
[INFO] 2020-12-05 05:35:20 > F_8 score (Step: 52000, Using test images): 0.9891746216606389
[INFO] 2020-12-05 05:35:20 > F_1/8 score (Step: 52000, Using test images): 0.9942913318604143
[INFO] 2020-12-05 05:35:20 > FID score (Step: 52000, Using test moments): 8.669545346731297
[INFO] 2020-12-05 05:35:20 > Inception score (Step: 52000, 10000 generated images): 9.93282699584961
[INFO] 2020-12-05 05:35:20 > Best FID score (Step: 52000, Using test moments): 8.669545346731297
[INFO] 2020-12-05 05:35:21 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 05:37:01 > Step: 52100 Progress: 52.1% Elapsed: 15:45:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.54573 Generator_loss: 2.0861
[INFO] 2020-12-05 05:38:40 > Step: 52200 Progress: 52.2% Elapsed: 15:46:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.66169 Generator_loss: 1.86582
[INFO] 2020-12-05 05:40:18 > Step: 52300 Progress: 52.3% Elapsed: 15:48:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.68553 Generator_loss: 1.36997
[INFO] 2020-12-05 05:42:05 > Step: 52400 Progress: 52.4% Elapsed: 15:50:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.8753 Generator_loss: 1.93983
[INFO] 2020-12-05 05:43:46 > Step: 52500 Progress: 52.5% Elapsed: 15:51:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.9037 Generator_loss: 1.50514
[INFO] 2020-12-05 05:45:21 > Step: 52600 Progress: 52.6% Elapsed: 15:53:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.72713 Generator_loss: 1.47791
[INFO] 2020-12-05 05:46:58 > Step: 52700 Progress: 52.7% Elapsed: 15:55:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.8143 Generator_loss: 2.14191
[INFO] 2020-12-05 05:48:39 > Step: 52800 Progress: 52.8% Elapsed: 15:56:51 temperature: 1.0 ada_p: No Discriminator_loss: 3.26362 Generator_loss: 1.24682
[INFO] 2020-12-05 05:50:15 > Step: 52900 Progress: 52.9% Elapsed: 15:58:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.83731 Generator_loss: 1.57412
[INFO] 2020-12-05 05:51:53 > Step: 53000 Progress: 53.0% Elapsed: 16:00:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.90759 Generator_loss: 1.94293
[INFO] 2020-12-05 05:53:33 > Step: 53100 Progress: 53.1% Elapsed: 16:01:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.93307 Generator_loss: 1.55356
[INFO] 2020-12-05 05:55:06 > Step: 53200 Progress: 53.2% Elapsed: 16:03:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.7038 Generator_loss: 2.11573
[INFO] 2020-12-05 05:56:38 > Step: 53300 Progress: 53.3% Elapsed: 16:04:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.61562 Generator_loss: 1.84451
[INFO] 2020-12-05 05:58:12 > Step: 53400 Progress: 53.4% Elapsed: 16:06:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.62653 Generator_loss: 1.15637
[INFO] 2020-12-05 05:59:50 > Step: 53500 Progress: 53.5% Elapsed: 16:08:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.75288 Generator_loss: 2.26472
[INFO] 2020-12-05 06:01:34 > Step: 53600 Progress: 53.6% Elapsed: 16:09:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.76151 Generator_loss: 1.92465
[INFO] 2020-12-05 06:03:21 > Step: 53700 Progress: 53.7% Elapsed: 16:11:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.66036 Generator_loss: 1.84433
[INFO] 2020-12-05 06:04:59 > Step: 53800 Progress: 53.8% Elapsed: 16:13:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.86501 Generator_loss: 2.11856
[INFO] 2020-12-05 06:06:33 > Step: 53900 Progress: 53.9% Elapsed: 16:14:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.51413 Generator_loss: 1.66335
[INFO] 2020-12-05 06:07:58 > Step: 54000 Progress: 54.0% Elapsed: 16:16:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.71825 Generator_loss: 1.77929
[INFO] 2020-12-05 06:07:59 > Start Evaluation (54000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 06:07:59 > Calculating FID Score....
[INFO] 2020-12-05 06:08:37 > Calculating Inception Score....
[INFO] 2020-12-05 06:08:56 > Calculate F_beta Score....
[INFO] 2020-12-05 06:10:15 > Calculate Accuracies....
[INFO] 2020-12-05 06:10:27 > Calculate Accuracies....
[INFO] 2020-12-05 06:10:30 > F_8 score (Step: 54000, Using test images): 0.9919859604938671
[INFO] 2020-12-05 06:10:30 > F_1/8 score (Step: 54000, Using test images): 0.9947058728415805
[INFO] 2020-12-05 06:10:30 > FID score (Step: 54000, Using test moments): 8.620194879991459
[INFO] 2020-12-05 06:10:30 > Inception score (Step: 54000, 10000 generated images): 9.925180435180664
[INFO] 2020-12-05 06:10:30 > Best FID score (Step: 54000, Using test moments): 8.620194879991459
[INFO] 2020-12-05 06:10:32 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 06:12:14 > Step: 54100 Progress: 54.1% Elapsed: 16:20:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.71181 Generator_loss: 1.79175
[INFO] 2020-12-05 06:13:49 > Step: 54200 Progress: 54.2% Elapsed: 16:22:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.718 Generator_loss: 1.74928
[INFO] 2020-12-05 06:15:29 > Step: 54300 Progress: 54.3% Elapsed: 16:23:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.63252 Generator_loss: 2.02458
[INFO] 2020-12-05 06:17:07 > Step: 54400 Progress: 54.4% Elapsed: 16:25:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.8122 Generator_loss: 1.66898
[INFO] 2020-12-05 06:18:47 > Step: 54500 Progress: 54.5% Elapsed: 16:26:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.84112 Generator_loss: 1.91392
[INFO] 2020-12-05 06:20:26 > Step: 54600 Progress: 54.6% Elapsed: 16:28:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.82255 Generator_loss: 1.81271
[INFO] 2020-12-05 06:22:06 > Step: 54700 Progress: 54.7% Elapsed: 16:30:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.81518 Generator_loss: 2.01413
[INFO] 2020-12-05 06:23:46 > Step: 54800 Progress: 54.8% Elapsed: 16:31:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.6954 Generator_loss: 1.94088
[INFO] 2020-12-05 06:25:28 > Step: 54900 Progress: 54.9% Elapsed: 16:33:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.75253 Generator_loss: 1.97095
[INFO] 2020-12-05 06:27:10 > Step: 55000 Progress: 55.0% Elapsed: 16:35:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.709 Generator_loss: 1.42364
[INFO] 2020-12-05 06:28:51 > Step: 55100 Progress: 55.1% Elapsed: 16:37:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.62144 Generator_loss: 1.92548
[INFO] 2020-12-05 06:30:34 > Step: 55200 Progress: 55.2% Elapsed: 16:38:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.77574 Generator_loss: 2.02947
[INFO] 2020-12-05 06:32:19 > Step: 55300 Progress: 55.3% Elapsed: 16:40:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.80013 Generator_loss: 2.09149
[INFO] 2020-12-05 06:34:09 > Step: 55400 Progress: 55.4% Elapsed: 16:42:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.73913 Generator_loss: 2.02388
[INFO] 2020-12-05 06:35:50 > Step: 55500 Progress: 55.5% Elapsed: 16:44:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.64967 Generator_loss: 2.07815
[INFO] 2020-12-05 06:37:25 > Step: 55600 Progress: 55.6% Elapsed: 16:45:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.70555 Generator_loss: 1.73599
[INFO] 2020-12-05 06:39:02 > Step: 55700 Progress: 55.7% Elapsed: 16:47:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.74201 Generator_loss: 1.58408
[INFO] 2020-12-05 06:40:37 > Step: 55800 Progress: 55.8% Elapsed: 16:48:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.76407 Generator_loss: 1.85064
[INFO] 2020-12-05 06:42:10 > Step: 55900 Progress: 55.9% Elapsed: 16:50:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.04087 Generator_loss: 2.00332
[INFO] 2020-12-05 06:43:39 > Step: 56000 Progress: 56.0% Elapsed: 16:51:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.97655 Generator_loss: 1.5505
[INFO] 2020-12-05 06:43:39 > Start Evaluation (56000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 06:43:39 > Calculating FID Score....
[INFO] 2020-12-05 06:44:18 > Calculating Inception Score....
[INFO] 2020-12-05 06:44:38 > Calculate F_beta Score....
[INFO] 2020-12-05 06:45:58 > Calculate Accuracies....
[INFO] 2020-12-05 06:46:11 > Calculate Accuracies....
[INFO] 2020-12-05 06:46:14 > F_8 score (Step: 56000, Using test images): 0.9934268020898734
[INFO] 2020-12-05 06:46:14 > F_1/8 score (Step: 56000, Using test images): 0.9936585993233815
[INFO] 2020-12-05 06:46:14 > FID score (Step: 56000, Using test moments): 8.52460498788173
[INFO] 2020-12-05 06:46:14 > Inception score (Step: 56000, 10000 generated images): 9.829241752624512
[INFO] 2020-12-05 06:46:14 > Best FID score (Step: 56000, Using test moments): 8.52460498788173
[INFO] 2020-12-05 06:46:16 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 06:48:01 > Step: 56100 Progress: 56.1% Elapsed: 16:56:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.7527 Generator_loss: 1.58632
[INFO] 2020-12-05 06:49:41 > Step: 56200 Progress: 56.2% Elapsed: 16:57:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.91798 Generator_loss: 1.68045
[INFO] 2020-12-05 06:51:22 > Step: 56300 Progress: 56.3% Elapsed: 16:59:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.68076 Generator_loss: 1.63995
[INFO] 2020-12-05 06:53:02 > Step: 56400 Progress: 56.4% Elapsed: 17:01:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.72736 Generator_loss: 1.58705
[INFO] 2020-12-05 06:54:40 > Step: 56500 Progress: 56.5% Elapsed: 17:02:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.1463 Generator_loss: 1.02307
[INFO] 2020-12-05 06:56:19 > Step: 56600 Progress: 56.6% Elapsed: 17:04:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.75477 Generator_loss: 1.65426
[INFO] 2020-12-05 06:57:56 > Step: 56700 Progress: 56.7% Elapsed: 17:06:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.57886 Generator_loss: 2.11501
[INFO] 2020-12-05 06:59:33 > Step: 56800 Progress: 56.8% Elapsed: 17:07:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.64175 Generator_loss: 2.34028
[INFO] 2020-12-05 07:01:12 > Step: 56900 Progress: 56.9% Elapsed: 17:09:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.84368 Generator_loss: 2.30572
[INFO] 2020-12-05 07:02:48 > Step: 57000 Progress: 57.0% Elapsed: 17:11:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.74089 Generator_loss: 2.4327
[INFO] 2020-12-05 07:04:28 > Step: 57100 Progress: 57.1% Elapsed: 17:12:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.71548 Generator_loss: 1.55927
[INFO] 2020-12-05 07:06:07 > Step: 57200 Progress: 57.2% Elapsed: 17:14:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.75832 Generator_loss: 1.58449
[INFO] 2020-12-05 07:07:49 > Step: 57300 Progress: 57.3% Elapsed: 17:16:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.68148 Generator_loss: 2.13491
[INFO] 2020-12-05 07:09:30 > Step: 57400 Progress: 57.4% Elapsed: 17:17:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.6792 Generator_loss: 2.08925
[INFO] 2020-12-05 07:11:10 > Step: 57500 Progress: 57.5% Elapsed: 17:19:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.73465 Generator_loss: 1.61151
[INFO] 2020-12-05 07:12:50 > Step: 57600 Progress: 57.6% Elapsed: 17:21:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.55146 Generator_loss: 2.25298
[INFO] 2020-12-05 07:14:30 > Step: 57700 Progress: 57.7% Elapsed: 17:22:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.67869 Generator_loss: 1.22075
[INFO] 2020-12-05 07:16:10 > Step: 57800 Progress: 57.8% Elapsed: 17:24:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.72278 Generator_loss: 1.91044
[INFO] 2020-12-05 07:17:37 > Step: 57900 Progress: 57.9% Elapsed: 17:25:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.7428 Generator_loss: 1.89415
[INFO] 2020-12-05 07:18:56 > Step: 58000 Progress: 58.0% Elapsed: 17:27:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.79866 Generator_loss: 1.9418
[INFO] 2020-12-05 07:18:56 > Start Evaluation (58000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 07:18:56 > Calculating FID Score....
[INFO] 2020-12-05 07:19:33 > Calculating Inception Score....
[INFO] 2020-12-05 07:19:53 > Calculate F_beta Score....
[INFO] 2020-12-05 07:21:05 > Calculate Accuracies....
[INFO] 2020-12-05 07:21:16 > Calculate Accuracies....
[INFO] 2020-12-05 07:21:19 > F_8 score (Step: 58000, Using test images): 0.9874841355435323
[INFO] 2020-12-05 07:21:19 > F_1/8 score (Step: 58000, Using test images): 0.993860353357341
[INFO] 2020-12-05 07:21:19 > FID score (Step: 58000, Using test moments): 8.415882676377407
[INFO] 2020-12-05 07:21:19 > Inception score (Step: 58000, 10000 generated images): 9.988686561584473
[INFO] 2020-12-05 07:21:19 > Best FID score (Step: 58000, Using test moments): 8.415882676377407
[INFO] 2020-12-05 07:21:21 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 07:22:59 > Step: 58100 Progress: 58.1% Elapsed: 17:31:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.79028 Generator_loss: 1.70226
[INFO] 2020-12-05 07:24:45 > Step: 58200 Progress: 58.2% Elapsed: 17:32:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.83422 Generator_loss: 1.48037
[INFO] 2020-12-05 07:26:31 > Step: 58300 Progress: 58.3% Elapsed: 17:34:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.90142 Generator_loss: 1.14128
[INFO] 2020-12-05 07:28:13 > Step: 58400 Progress: 58.4% Elapsed: 17:36:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.73129 Generator_loss: 1.61028
[INFO] 2020-12-05 07:29:52 > Step: 58500 Progress: 58.5% Elapsed: 17:38:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.78415 Generator_loss: 1.67447
[INFO] 2020-12-05 07:31:29 > Step: 58600 Progress: 58.6% Elapsed: 17:39:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.64258 Generator_loss: 1.89701
[INFO] 2020-12-05 07:33:06 > Step: 58700 Progress: 58.7% Elapsed: 17:41:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.86459 Generator_loss: 1.68054
[INFO] 2020-12-05 07:34:47 > Step: 58800 Progress: 58.8% Elapsed: 17:42:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.73298 Generator_loss: 1.43913
[INFO] 2020-12-05 07:36:28 > Step: 58900 Progress: 58.9% Elapsed: 17:44:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.68962 Generator_loss: 2.25803
[INFO] 2020-12-05 07:38:03 > Step: 59000 Progress: 59.0% Elapsed: 17:46:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.88335 Generator_loss: 1.83235
[INFO] 2020-12-05 07:39:37 > Step: 59100 Progress: 59.1% Elapsed: 17:47:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.77399 Generator_loss: 1.74961
[INFO] 2020-12-05 07:41:15 > Step: 59200 Progress: 59.2% Elapsed: 17:49:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.78269 Generator_loss: 2.00851
[INFO] 2020-12-05 07:42:51 > Step: 59300 Progress: 59.3% Elapsed: 17:51:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.91974 Generator_loss: 2.00339
[INFO] 2020-12-05 07:44:29 > Step: 59400 Progress: 59.4% Elapsed: 17:52:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.90382 Generator_loss: 2.33455
[INFO] 2020-12-05 07:46:11 > Step: 59500 Progress: 59.5% Elapsed: 17:54:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.0821 Generator_loss: 0.926637
[INFO] 2020-12-05 07:47:55 > Step: 59600 Progress: 59.6% Elapsed: 17:56:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.78326 Generator_loss: 1.70001
[INFO] 2020-12-05 07:49:36 > Step: 59700 Progress: 59.7% Elapsed: 17:57:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.76778 Generator_loss: 1.85756
[INFO] 2020-12-05 07:51:13 > Step: 59800 Progress: 59.8% Elapsed: 17:59:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.56888 Generator_loss: 1.87234
[INFO] 2020-12-05 07:52:45 > Step: 59900 Progress: 59.9% Elapsed: 18:00:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.79648 Generator_loss: 1.8422
[INFO] 2020-12-05 07:54:04 > Step: 60000 Progress: 60.0% Elapsed: 18:02:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.71867 Generator_loss: 1.8317
[INFO] 2020-12-05 07:54:04 > Start Evaluation (60000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 07:54:04 > Calculating FID Score....
[INFO] 2020-12-05 07:54:41 > Calculating Inception Score....
[INFO] 2020-12-05 07:55:01 > Calculate F_beta Score....
[INFO] 2020-12-05 07:56:22 > Calculate Accuracies....
[INFO] 2020-12-05 07:56:33 > Calculate Accuracies....
[INFO] 2020-12-05 07:56:36 > F_8 score (Step: 60000, Using test images): 0.9877270343794503
[INFO] 2020-12-05 07:56:36 > F_1/8 score (Step: 60000, Using test images): 0.9952616150748695
[INFO] 2020-12-05 07:56:36 > FID score (Step: 60000, Using test moments): 8.358381086146267
[INFO] 2020-12-05 07:56:36 > Inception score (Step: 60000, 10000 generated images): 9.731239318847656
[INFO] 2020-12-05 07:56:36 > Best FID score (Step: 60000, Using test moments): 8.358381086146267
[INFO] 2020-12-05 07:56:38 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 07:58:11 > Step: 60100 Progress: 60.1% Elapsed: 18:06:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.10622 Generator_loss: 1.2974
[INFO] 2020-12-05 07:59:47 > Step: 60200 Progress: 60.2% Elapsed: 18:07:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.72332 Generator_loss: 2.12846
[INFO] 2020-12-05 08:01:27 > Step: 60300 Progress: 60.3% Elapsed: 18:09:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.8286 Generator_loss: 1.39212
[INFO] 2020-12-05 08:03:07 > Step: 60400 Progress: 60.4% Elapsed: 18:11:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.76499 Generator_loss: 2.28036
[INFO] 2020-12-05 08:04:54 > Step: 60500 Progress: 60.5% Elapsed: 18:13:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.88287 Generator_loss: 1.68001
[INFO] 2020-12-05 08:06:40 > Step: 60600 Progress: 60.6% Elapsed: 18:14:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.70749 Generator_loss: 2.46084
[INFO] 2020-12-05 08:08:23 > Step: 60700 Progress: 60.7% Elapsed: 18:16:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.7965 Generator_loss: 1.89899
[INFO] 2020-12-05 08:10:03 > Step: 60800 Progress: 60.8% Elapsed: 18:18:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.81771 Generator_loss: 2.16231
[INFO] 2020-12-05 08:11:43 > Step: 60900 Progress: 60.9% Elapsed: 18:19:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.74907 Generator_loss: 1.88336
[INFO] 2020-12-05 08:13:20 > Step: 61000 Progress: 61.0% Elapsed: 18:21:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.93229 Generator_loss: 1.17472
[INFO] 2020-12-05 08:15:04 > Step: 61100 Progress: 61.1% Elapsed: 18:23:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.73974 Generator_loss: 2.00549
[INFO] 2020-12-05 08:16:46 > Step: 61200 Progress: 61.2% Elapsed: 18:24:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.84581 Generator_loss: 1.79733
[INFO] 2020-12-05 08:18:24 > Step: 61300 Progress: 61.3% Elapsed: 18:26:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.71119 Generator_loss: 2.16306
[INFO] 2020-12-05 08:20:01 > Step: 61400 Progress: 61.4% Elapsed: 18:28:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.75311 Generator_loss: 1.67674
[INFO] 2020-12-05 08:21:39 > Step: 61500 Progress: 61.5% Elapsed: 18:29:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.9295 Generator_loss: 1.97303
[INFO] 2020-12-05 08:23:14 > Step: 61600 Progress: 61.6% Elapsed: 18:31:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.68733 Generator_loss: 2.42423
[INFO] 2020-12-05 08:24:55 > Step: 61700 Progress: 61.7% Elapsed: 18:33:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.84072 Generator_loss: 2.10913
[INFO] 2020-12-05 08:26:30 > Step: 61800 Progress: 61.8% Elapsed: 18:34:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.93678 Generator_loss: 1.89656
[INFO] 2020-12-05 08:28:04 > Step: 61900 Progress: 61.9% Elapsed: 18:36:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.61768 Generator_loss: 2.19237
[INFO] 2020-12-05 08:29:19 > Step: 62000 Progress: 62.0% Elapsed: 18:37:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.89565 Generator_loss: 1.86782
[INFO] 2020-12-05 08:29:19 > Start Evaluation (62000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 08:29:19 > Calculating FID Score....
[INFO] 2020-12-05 08:29:54 > Calculating Inception Score....
[INFO] 2020-12-05 08:30:13 > Calculate F_beta Score....
[INFO] 2020-12-05 08:31:36 > Calculate Accuracies....
[INFO] 2020-12-05 08:31:48 > Calculate Accuracies....
[INFO] 2020-12-05 08:31:51 > F_8 score (Step: 62000, Using test images): 0.9928578710424415
[INFO] 2020-12-05 08:31:51 > F_1/8 score (Step: 62000, Using test images): 0.9945413834433524
[INFO] 2020-12-05 08:31:51 > FID score (Step: 62000, Using test moments): 8.404694332443057
[INFO] 2020-12-05 08:31:51 > Inception score (Step: 62000, 10000 generated images): 9.662883758544922
[INFO] 2020-12-05 08:31:51 > Best FID score (Step: 60000, Using test moments): 8.358381086146267
[INFO] 2020-12-05 08:31:52 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 08:33:33 > Step: 62100 Progress: 62.1% Elapsed: 18:41:45 temperature: 1.0 ada_p: No Discriminator_loss: 3.02902 Generator_loss: 1.82897
[INFO] 2020-12-05 08:35:15 > Step: 62200 Progress: 62.2% Elapsed: 18:43:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.82123 Generator_loss: 1.85783
[INFO] 2020-12-05 08:36:56 > Step: 62300 Progress: 62.3% Elapsed: 18:45:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.70074 Generator_loss: 2.0414
[INFO] 2020-12-05 08:38:41 > Step: 62400 Progress: 62.4% Elapsed: 18:46:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.63423 Generator_loss: 1.73274
[INFO] 2020-12-05 08:40:22 > Step: 62500 Progress: 62.5% Elapsed: 18:48:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.60047 Generator_loss: 2.43347
[INFO] 2020-12-05 08:42:01 > Step: 62600 Progress: 62.6% Elapsed: 18:50:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.6912 Generator_loss: 1.72876
[INFO] 2020-12-05 08:43:40 > Step: 62700 Progress: 62.7% Elapsed: 18:51:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.68313 Generator_loss: 1.81397
[INFO] 2020-12-05 08:45:25 > Step: 62800 Progress: 62.8% Elapsed: 18:53:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.94254 Generator_loss: 1.17032
[INFO] 2020-12-05 08:47:10 > Step: 62900 Progress: 62.9% Elapsed: 18:55:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.76565 Generator_loss: 2.26387
[INFO] 2020-12-05 08:48:58 > Step: 63000 Progress: 63.0% Elapsed: 18:57:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.73187 Generator_loss: 1.70392
[INFO] 2020-12-05 08:50:40 > Step: 63100 Progress: 63.1% Elapsed: 18:58:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.58988 Generator_loss: 1.88092
[INFO] 2020-12-05 08:52:23 > Step: 63200 Progress: 63.2% Elapsed: 19:00:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.7457 Generator_loss: 1.54826
[INFO] 2020-12-05 08:54:02 > Step: 63300 Progress: 63.3% Elapsed: 19:02:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.62457 Generator_loss: 2.19129
[INFO] 2020-12-05 08:55:39 > Step: 63400 Progress: 63.4% Elapsed: 19:03:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.66184 Generator_loss: 2.24157
[INFO] 2020-12-05 08:57:16 > Step: 63500 Progress: 63.5% Elapsed: 19:05:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.67963 Generator_loss: 1.84958
[INFO] 2020-12-05 08:58:56 > Step: 63600 Progress: 63.6% Elapsed: 19:07:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.84537 Generator_loss: 1.41331
[INFO] 2020-12-05 09:00:36 > Step: 63700 Progress: 63.7% Elapsed: 19:08:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.8742 Generator_loss: 1.31782
[INFO] 2020-12-05 09:02:17 > Step: 63800 Progress: 63.8% Elapsed: 19:10:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.67445 Generator_loss: 1.75131
[INFO] 2020-12-05 09:04:00 > Step: 63900 Progress: 63.9% Elapsed: 19:12:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.82872 Generator_loss: 1.73411
[INFO] 2020-12-05 09:05:19 > Step: 64000 Progress: 64.0% Elapsed: 19:13:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.71658 Generator_loss: 1.74707
[INFO] 2020-12-05 09:05:19 > Start Evaluation (64000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 09:05:19 > Calculating FID Score....
[INFO] 2020-12-05 09:05:56 > Calculating Inception Score....
[INFO] 2020-12-05 09:06:15 > Calculate F_beta Score....
[INFO] 2020-12-05 09:07:35 > Calculate Accuracies....
[INFO] 2020-12-05 09:07:49 > Calculate Accuracies....
[INFO] 2020-12-05 09:07:52 > F_8 score (Step: 64000, Using test images): 0.9935463853657976
[INFO] 2020-12-05 09:07:52 > F_1/8 score (Step: 64000, Using test images): 0.9947781644114853
[INFO] 2020-12-05 09:07:52 > FID score (Step: 64000, Using test moments): 8.33891717278857
[INFO] 2020-12-05 09:07:52 > Inception score (Step: 64000, 10000 generated images): 9.821234703063965
[INFO] 2020-12-05 09:07:52 > Best FID score (Step: 64000, Using test moments): 8.33891717278857
[INFO] 2020-12-05 09:07:54 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 09:09:32 > Step: 64100 Progress: 64.1% Elapsed: 19:17:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.61349 Generator_loss: 1.61248
[INFO] 2020-12-05 09:11:13 > Step: 64200 Progress: 64.2% Elapsed: 19:19:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.72074 Generator_loss: 1.50949
[INFO] 2020-12-05 09:12:51 > Step: 64300 Progress: 64.3% Elapsed: 19:21:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.80028 Generator_loss: 2.08662
[INFO] 2020-12-05 09:14:29 > Step: 64400 Progress: 64.4% Elapsed: 19:22:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.88707 Generator_loss: 1.68078
[INFO] 2020-12-05 09:16:05 > Step: 64500 Progress: 64.5% Elapsed: 19:24:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.83116 Generator_loss: 1.92961
[INFO] 2020-12-05 09:17:45 > Step: 64600 Progress: 64.6% Elapsed: 19:25:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.63084 Generator_loss: 1.93378
[INFO] 2020-12-05 09:19:27 > Step: 64700 Progress: 64.7% Elapsed: 19:27:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.5646 Generator_loss: 2.52957
[INFO] 2020-12-05 09:21:01 > Step: 64800 Progress: 64.8% Elapsed: 19:29:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.78171 Generator_loss: 1.81329
[INFO] 2020-12-05 09:22:33 > Step: 64900 Progress: 64.9% Elapsed: 19:30:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.63733 Generator_loss: 1.65784
[INFO] 2020-12-05 09:24:07 > Step: 65000 Progress: 65.0% Elapsed: 19:32:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.59234 Generator_loss: 1.70599
[INFO] 2020-12-05 09:25:45 > Step: 65100 Progress: 65.1% Elapsed: 19:33:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.7822 Generator_loss: 1.36134
[INFO] 2020-12-05 09:27:29 > Step: 65200 Progress: 65.2% Elapsed: 19:35:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.69211 Generator_loss: 1.84826
[INFO] 2020-12-05 09:29:13 > Step: 65300 Progress: 65.3% Elapsed: 19:37:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.77595 Generator_loss: 1.74401
[INFO] 2020-12-05 09:30:58 > Step: 65400 Progress: 65.4% Elapsed: 19:39:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.89241 Generator_loss: 1.03833
[INFO] 2020-12-05 09:32:34 > Step: 65500 Progress: 65.5% Elapsed: 19:40:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.73519 Generator_loss: 1.78292
[INFO] 2020-12-05 09:34:07 > Step: 65600 Progress: 65.6% Elapsed: 19:42:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.74683 Generator_loss: 1.74898
[INFO] 2020-12-05 09:35:46 > Step: 65700 Progress: 65.7% Elapsed: 19:43:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.92343 Generator_loss: 1.5742
[INFO] 2020-12-05 09:37:24 > Step: 65800 Progress: 65.8% Elapsed: 19:45:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.73593 Generator_loss: 1.79565
[INFO] 2020-12-05 09:39:03 > Step: 65900 Progress: 65.9% Elapsed: 19:47:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.71898 Generator_loss: 2.14261
[INFO] 2020-12-05 09:40:26 > Step: 66000 Progress: 66.0% Elapsed: 19:48:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.78917 Generator_loss: 1.81291
[INFO] 2020-12-05 09:40:26 > Start Evaluation (66000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 09:40:26 > Calculating FID Score....
[INFO] 2020-12-05 09:41:02 > Calculating Inception Score....
[INFO] 2020-12-05 09:41:20 > Calculate F_beta Score....
[INFO] 2020-12-05 09:42:33 > Calculate Accuracies....
[INFO] 2020-12-05 09:42:47 > Calculate Accuracies....
[INFO] 2020-12-05 09:42:49 > F_8 score (Step: 66000, Using test images): 0.991157834054866
[INFO] 2020-12-05 09:42:49 > F_1/8 score (Step: 66000, Using test images): 0.9951771321848709
[INFO] 2020-12-05 09:42:49 > FID score (Step: 66000, Using test moments): 8.289008089344463
[INFO] 2020-12-05 09:42:49 > Inception score (Step: 66000, 10000 generated images): 9.705439567565918
[INFO] 2020-12-05 09:42:49 > Best FID score (Step: 66000, Using test moments): 8.289008089344463
[INFO] 2020-12-05 09:42:52 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 09:44:31 > Step: 66100 Progress: 66.1% Elapsed: 19:52:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.89319 Generator_loss: 1.9
[INFO] 2020-12-05 09:46:14 > Step: 66200 Progress: 66.2% Elapsed: 19:54:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.7531 Generator_loss: 1.52973
[INFO] 2020-12-05 09:47:56 > Step: 66300 Progress: 66.3% Elapsed: 19:56:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.87362 Generator_loss: 2.11621
[INFO] 2020-12-05 09:49:43 > Step: 66400 Progress: 66.4% Elapsed: 19:57:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.53429 Generator_loss: 2.33602
[INFO] 2020-12-05 09:51:27 > Step: 66500 Progress: 66.5% Elapsed: 19:59:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.9518 Generator_loss: 1.82451
[INFO] 2020-12-05 09:53:12 > Step: 66600 Progress: 66.6% Elapsed: 20:01:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.79032 Generator_loss: 1.99726
[INFO] 2020-12-05 09:54:57 > Step: 66700 Progress: 66.7% Elapsed: 20:03:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.81425 Generator_loss: 1.52487
[INFO] 2020-12-05 09:56:44 > Step: 66800 Progress: 66.8% Elapsed: 20:04:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.79153 Generator_loss: 1.36964
[INFO] 2020-12-05 09:58:32 > Step: 66900 Progress: 66.9% Elapsed: 20:06:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.64171 Generator_loss: 1.63792
[INFO] 2020-12-05 10:00:10 > Step: 67000 Progress: 67.0% Elapsed: 20:08:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.62016 Generator_loss: 1.71644
[INFO] 2020-12-05 10:01:48 > Step: 67100 Progress: 67.1% Elapsed: 20:10:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.71432 Generator_loss: 2.10307
[INFO] 2020-12-05 10:03:29 > Step: 67200 Progress: 67.2% Elapsed: 20:11:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.79007 Generator_loss: 2.55133
[INFO] 2020-12-05 10:05:01 > Step: 67300 Progress: 67.3% Elapsed: 20:13:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.69284 Generator_loss: 1.86512
[INFO] 2020-12-05 10:06:42 > Step: 67400 Progress: 67.4% Elapsed: 20:14:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.67908 Generator_loss: 1.96525
[INFO] 2020-12-05 10:08:27 > Step: 67500 Progress: 67.5% Elapsed: 20:16:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.63399 Generator_loss: 1.88138
[INFO] 2020-12-05 10:10:13 > Step: 67600 Progress: 67.6% Elapsed: 20:18:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.88499 Generator_loss: 1.43577
[INFO] 2020-12-05 10:12:00 > Step: 67700 Progress: 67.7% Elapsed: 20:20:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.80972 Generator_loss: 1.45684
[INFO] 2020-12-05 10:13:42 > Step: 67800 Progress: 67.8% Elapsed: 20:21:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.59378 Generator_loss: 1.65082
[INFO] 2020-12-05 10:15:25 > Step: 67900 Progress: 67.9% Elapsed: 20:23:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.68804 Generator_loss: 1.93356
[INFO] 2020-12-05 10:16:46 > Step: 68000 Progress: 68.0% Elapsed: 20:24:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.78763 Generator_loss: 1.54854
[INFO] 2020-12-05 10:16:46 > Start Evaluation (68000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 10:16:46 > Calculating FID Score....
[INFO] 2020-12-05 10:17:22 > Calculating Inception Score....
[INFO] 2020-12-05 10:17:41 > Calculate F_beta Score....
[INFO] 2020-12-05 10:18:58 > Calculate Accuracies....
[INFO] 2020-12-05 10:19:11 > Calculate Accuracies....
[INFO] 2020-12-05 10:19:14 > F_8 score (Step: 68000, Using test images): 0.9924940171653784
[INFO] 2020-12-05 10:19:14 > F_1/8 score (Step: 68000, Using test images): 0.9944432169211297
[INFO] 2020-12-05 10:19:14 > FID score (Step: 68000, Using test moments): 8.0700482920019
[INFO] 2020-12-05 10:19:14 > Inception score (Step: 68000, 10000 generated images): 9.79404067993164
[INFO] 2020-12-05 10:19:14 > Best FID score (Step: 68000, Using test moments): 8.0700482920019
[INFO] 2020-12-05 10:19:16 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 10:20:53 > Step: 68100 Progress: 68.1% Elapsed: 20:29:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.91115 Generator_loss: 2.15778
[INFO] 2020-12-05 10:22:32 > Step: 68200 Progress: 68.2% Elapsed: 20:30:44 temperature: 1.0 ada_p: No Discriminator_loss: 3.03133 Generator_loss: 1.47761
[INFO] 2020-12-05 10:24:15 > Step: 68300 Progress: 68.3% Elapsed: 20:32:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.71009 Generator_loss: 1.82484
[INFO] 2020-12-05 10:25:54 > Step: 68400 Progress: 68.4% Elapsed: 20:34:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.78544 Generator_loss: 1.97126
[INFO] 2020-12-05 10:27:43 > Step: 68500 Progress: 68.5% Elapsed: 20:35:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.62583 Generator_loss: 1.92841
[INFO] 2020-12-05 10:29:24 > Step: 68600 Progress: 68.6% Elapsed: 20:37:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.64991 Generator_loss: 2.25055
[INFO] 2020-12-05 10:31:06 > Step: 68700 Progress: 68.7% Elapsed: 20:39:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.61293 Generator_loss: 2.08509
[INFO] 2020-12-05 10:32:43 > Step: 68800 Progress: 68.8% Elapsed: 20:40:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.8747 Generator_loss: 1.26428
[INFO] 2020-12-05 10:34:28 > Step: 68900 Progress: 68.9% Elapsed: 20:42:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.86425 Generator_loss: 1.67056
[INFO] 2020-12-05 10:36:05 > Step: 69000 Progress: 69.0% Elapsed: 20:44:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.79158 Generator_loss: 1.69231
[INFO] 2020-12-05 10:37:36 > Step: 69100 Progress: 69.1% Elapsed: 20:45:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.70016 Generator_loss: 2.479
[INFO] 2020-12-05 10:39:10 > Step: 69200 Progress: 69.2% Elapsed: 20:47:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.72514 Generator_loss: 1.80288
[INFO] 2020-12-05 10:40:54 > Step: 69300 Progress: 69.3% Elapsed: 20:49:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.89657 Generator_loss: 1.81729
[INFO] 2020-12-05 10:42:39 > Step: 69400 Progress: 69.4% Elapsed: 20:50:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.8573 Generator_loss: 1.5065
[INFO] 2020-12-05 10:44:23 > Step: 69500 Progress: 69.5% Elapsed: 20:52:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.78157 Generator_loss: 1.86907
[INFO] 2020-12-05 10:46:10 > Step: 69600 Progress: 69.6% Elapsed: 20:54:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.96682 Generator_loss: 1.28557
[INFO] 2020-12-05 10:48:00 > Step: 69700 Progress: 69.7% Elapsed: 20:56:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.78066 Generator_loss: 2.14992
[INFO] 2020-12-05 10:49:55 > Step: 69800 Progress: 69.8% Elapsed: 20:58:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.76849 Generator_loss: 1.77033
[INFO] 2020-12-05 10:51:30 > Step: 69900 Progress: 69.9% Elapsed: 20:59:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.64524 Generator_loss: 1.60031
[INFO] 2020-12-05 10:52:53 > Step: 70000 Progress: 70.0% Elapsed: 21:01:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.90052 Generator_loss: 2.23327
[INFO] 2020-12-05 10:52:53 > Start Evaluation (70000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 10:52:53 > Calculating FID Score....
[INFO] 2020-12-05 10:53:33 > Calculating Inception Score....
[INFO] 2020-12-05 10:53:53 > Calculate F_beta Score....
[INFO] 2020-12-05 10:55:09 > Calculate Accuracies....
[INFO] 2020-12-05 10:55:21 > Calculate Accuracies....
[INFO] 2020-12-05 10:55:24 > F_8 score (Step: 70000, Using test images): 0.9901336918233157
[INFO] 2020-12-05 10:55:24 > F_1/8 score (Step: 70000, Using test images): 0.9949227795135606
[INFO] 2020-12-05 10:55:24 > FID score (Step: 70000, Using test moments): 8.072955700350121
[INFO] 2020-12-05 10:55:24 > Inception score (Step: 70000, 10000 generated images): 9.933517456054688
[INFO] 2020-12-05 10:55:24 > Best FID score (Step: 68000, Using test moments): 8.0700482920019
[INFO] 2020-12-05 10:55:25 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 10:57:06 > Step: 70100 Progress: 70.1% Elapsed: 21:05:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.69174 Generator_loss: 2.03087
[INFO] 2020-12-05 10:58:47 > Step: 70200 Progress: 70.2% Elapsed: 21:06:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.68279 Generator_loss: 1.88456
[INFO] 2020-12-05 11:00:27 > Step: 70300 Progress: 70.3% Elapsed: 21:08:39 temperature: 1.0 ada_p: No Discriminator_loss: 3.00572 Generator_loss: 1.34919
[INFO] 2020-12-05 11:02:07 > Step: 70400 Progress: 70.4% Elapsed: 21:10:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.67833 Generator_loss: 1.36207
[INFO] 2020-12-05 11:03:44 > Step: 70500 Progress: 70.5% Elapsed: 21:11:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.69302 Generator_loss: 1.43954
[INFO] 2020-12-05 11:05:17 > Step: 70600 Progress: 70.6% Elapsed: 21:13:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.78965 Generator_loss: 1.27556
[INFO] 2020-12-05 11:06:51 > Step: 70700 Progress: 70.7% Elapsed: 21:15:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.03111 Generator_loss: 1.72511
[INFO] 2020-12-05 11:08:25 > Step: 70800 Progress: 70.8% Elapsed: 21:16:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.68035 Generator_loss: 2.02663
[INFO] 2020-12-05 11:10:04 > Step: 70900 Progress: 70.9% Elapsed: 21:18:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.7578 Generator_loss: 1.76392
[INFO] 2020-12-05 11:11:44 > Step: 71000 Progress: 71.0% Elapsed: 21:19:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.8085 Generator_loss: 1.4869
[INFO] 2020-12-05 11:13:22 > Step: 71100 Progress: 71.1% Elapsed: 21:21:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.80712 Generator_loss: 1.61294
[INFO] 2020-12-05 11:15:04 > Step: 71200 Progress: 71.2% Elapsed: 21:23:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.69771 Generator_loss: 1.37457
[INFO] 2020-12-05 11:16:46 > Step: 71300 Progress: 71.3% Elapsed: 21:24:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.71025 Generator_loss: 1.44036
[INFO] 2020-12-05 11:18:27 > Step: 71400 Progress: 71.4% Elapsed: 21:26:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.84319 Generator_loss: 1.83647
[INFO] 2020-12-05 11:20:10 > Step: 71500 Progress: 71.5% Elapsed: 21:28:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.78337 Generator_loss: 1.65384
[INFO] 2020-12-05 11:21:52 > Step: 71600 Progress: 71.6% Elapsed: 21:30:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.02401 Generator_loss: 1.42665
[INFO] 2020-12-05 11:23:32 > Step: 71700 Progress: 71.7% Elapsed: 21:31:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.78282 Generator_loss: 1.75838
[INFO] 2020-12-05 11:25:11 > Step: 71800 Progress: 71.8% Elapsed: 21:33:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.74688 Generator_loss: 1.36219
[INFO] 2020-12-05 11:26:39 > Step: 71900 Progress: 71.9% Elapsed: 21:34:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.87999 Generator_loss: 1.75199
[INFO] 2020-12-05 11:27:58 > Step: 72000 Progress: 72.0% Elapsed: 21:36:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.68353 Generator_loss: 1.91833
[INFO] 2020-12-05 11:27:58 > Start Evaluation (72000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 11:27:59 > Calculating FID Score....
[INFO] 2020-12-05 11:28:37 > Calculating Inception Score....
[INFO] 2020-12-05 11:28:57 > Calculate F_beta Score....
[INFO] 2020-12-05 11:30:15 > Calculate Accuracies....
[INFO] 2020-12-05 11:30:28 > Calculate Accuracies....
[INFO] 2020-12-05 11:30:32 > F_8 score (Step: 72000, Using test images): 0.9903028162054837
[INFO] 2020-12-05 11:30:32 > F_1/8 score (Step: 72000, Using test images): 0.9948160227865852
[INFO] 2020-12-05 11:30:32 > FID score (Step: 72000, Using test moments): 7.987762574577118
[INFO] 2020-12-05 11:30:32 > Inception score (Step: 72000, 10000 generated images): 9.85047721862793
[INFO] 2020-12-05 11:30:32 > Best FID score (Step: 72000, Using test moments): 7.987762574577118
[INFO] 2020-12-05 11:30:34 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 11:32:20 > Step: 72100 Progress: 72.1% Elapsed: 21:40:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.81173 Generator_loss: 2.04753
[INFO] 2020-12-05 11:34:06 > Step: 72200 Progress: 72.2% Elapsed: 21:42:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.69594 Generator_loss: 1.89865
[INFO] 2020-12-05 11:35:45 > Step: 72300 Progress: 72.3% Elapsed: 21:43:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.85664 Generator_loss: 1.52076
[INFO] 2020-12-05 11:37:29 > Step: 72400 Progress: 72.4% Elapsed: 21:45:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.74152 Generator_loss: 2.19427
[INFO] 2020-12-05 11:39:17 > Step: 72500 Progress: 72.5% Elapsed: 21:47:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.7087 Generator_loss: 1.78549
[INFO] 2020-12-05 11:41:04 > Step: 72600 Progress: 72.6% Elapsed: 21:49:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.89217 Generator_loss: 2.08176
[INFO] 2020-12-05 11:42:30 > Step: 72700 Progress: 72.7% Elapsed: 21:50:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.76318 Generator_loss: 1.90719
[INFO] 2020-12-05 11:44:00 > Step: 72800 Progress: 72.8% Elapsed: 21:52:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.68526 Generator_loss: 2.16987
[INFO] 2020-12-05 11:45:37 > Step: 72900 Progress: 72.9% Elapsed: 21:53:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.86685 Generator_loss: 1.62888
[INFO] 2020-12-05 11:47:17 > Step: 73000 Progress: 73.0% Elapsed: 21:55:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.85271 Generator_loss: 1.63385
[INFO] 2020-12-05 11:48:57 > Step: 73100 Progress: 73.1% Elapsed: 21:57:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.70903 Generator_loss: 2.27666
[INFO] 2020-12-05 11:50:38 > Step: 73200 Progress: 73.2% Elapsed: 21:58:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.95001 Generator_loss: 1.48572
[INFO] 2020-12-05 11:52:18 > Step: 73300 Progress: 73.3% Elapsed: 22:00:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.6341 Generator_loss: 1.88438
[INFO] 2020-12-05 11:53:56 > Step: 73400 Progress: 73.4% Elapsed: 22:02:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.12575 Generator_loss: 1.267
[INFO] 2020-12-05 11:55:34 > Step: 73500 Progress: 73.5% Elapsed: 22:03:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.85902 Generator_loss: 1.5247
[INFO] 2020-12-05 11:57:17 > Step: 73600 Progress: 73.6% Elapsed: 22:05:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.59321 Generator_loss: 1.93933
[INFO] 2020-12-05 11:58:54 > Step: 73700 Progress: 73.7% Elapsed: 22:07:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.84731 Generator_loss: 1.6444
[INFO] 2020-12-05 12:00:33 > Step: 73800 Progress: 73.8% Elapsed: 22:08:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.62145 Generator_loss: 1.89876
[INFO] 2020-12-05 12:02:04 > Step: 73900 Progress: 73.9% Elapsed: 22:10:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.82854 Generator_loss: 1.9803
[INFO] 2020-12-05 12:03:23 > Step: 74000 Progress: 74.0% Elapsed: 22:11:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.72001 Generator_loss: 2.13471
[INFO] 2020-12-05 12:03:23 > Start Evaluation (74000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 12:03:23 > Calculating FID Score....
[INFO] 2020-12-05 12:03:58 > Calculating Inception Score....
[INFO] 2020-12-05 12:04:18 > Calculate F_beta Score....
[INFO] 2020-12-05 12:05:38 > Calculate Accuracies....
[INFO] 2020-12-05 12:05:50 > Calculate Accuracies....
[INFO] 2020-12-05 12:05:53 > F_8 score (Step: 74000, Using test images): 0.9894795675996129
[INFO] 2020-12-05 12:05:53 > F_1/8 score (Step: 74000, Using test images): 0.9947423596901775
[INFO] 2020-12-05 12:05:53 > FID score (Step: 74000, Using test moments): 7.951867635593089
[INFO] 2020-12-05 12:05:53 > Inception score (Step: 74000, 10000 generated images): 9.810396194458008
[INFO] 2020-12-05 12:05:53 > Best FID score (Step: 74000, Using test moments): 7.951867635593089
[INFO] 2020-12-05 12:05:56 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 12:07:35 > Step: 74100 Progress: 74.1% Elapsed: 22:15:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.81695 Generator_loss: 1.93811
[INFO] 2020-12-05 12:09:14 > Step: 74200 Progress: 74.2% Elapsed: 22:17:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.78464 Generator_loss: 1.73785
[INFO] 2020-12-05 12:10:50 > Step: 74300 Progress: 74.3% Elapsed: 22:19:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.82237 Generator_loss: 1.88978
[INFO] 2020-12-05 12:12:30 > Step: 74400 Progress: 74.4% Elapsed: 22:20:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.75768 Generator_loss: 2.06161
[INFO] 2020-12-05 12:14:06 > Step: 74500 Progress: 74.5% Elapsed: 22:22:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.96303 Generator_loss: 1.77855
[INFO] 2020-12-05 12:15:46 > Step: 74600 Progress: 74.6% Elapsed: 22:23:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.76749 Generator_loss: 1.75887
[INFO] 2020-12-05 12:17:26 > Step: 74700 Progress: 74.7% Elapsed: 22:25:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.75745 Generator_loss: 1.60243
[INFO] 2020-12-05 12:19:06 > Step: 74800 Progress: 74.8% Elapsed: 22:27:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.90172 Generator_loss: 1.82472
[INFO] 2020-12-05 12:20:45 > Step: 74900 Progress: 74.9% Elapsed: 22:28:57 temperature: 1.0 ada_p: No Discriminator_loss: 3.00381 Generator_loss: 2.01896
[INFO] 2020-12-05 12:22:23 > Step: 75000 Progress: 75.0% Elapsed: 22:30:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.74765 Generator_loss: 1.94711
[INFO] 2020-12-05 12:24:01 > Step: 75100 Progress: 75.1% Elapsed: 22:32:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.7648 Generator_loss: 1.36971
[INFO] 2020-12-05 12:25:36 > Step: 75200 Progress: 75.2% Elapsed: 22:33:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.83114 Generator_loss: 1.61983
[INFO] 2020-12-05 12:27:15 > Step: 75300 Progress: 75.3% Elapsed: 22:35:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.77689 Generator_loss: 1.93135
[INFO] 2020-12-05 12:28:54 > Step: 75400 Progress: 75.4% Elapsed: 22:37:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.71527 Generator_loss: 1.59321
[INFO] 2020-12-05 12:30:34 > Step: 75500 Progress: 75.5% Elapsed: 22:38:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.82248 Generator_loss: 2.00398
[INFO] 2020-12-05 12:32:13 > Step: 75600 Progress: 75.6% Elapsed: 22:40:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.86357 Generator_loss: 0.991954
[INFO] 2020-12-05 12:33:53 > Step: 75700 Progress: 75.7% Elapsed: 22:42:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.75449 Generator_loss: 1.49115
[INFO] 2020-12-05 12:35:29 > Step: 75800 Progress: 75.8% Elapsed: 22:43:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.72981 Generator_loss: 1.83132
[INFO] 2020-12-05 12:36:51 > Step: 75900 Progress: 75.9% Elapsed: 22:45:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.68536 Generator_loss: 1.97601
[INFO] 2020-12-05 12:38:07 > Step: 76000 Progress: 76.0% Elapsed: 22:46:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.83669 Generator_loss: 1.68351
[INFO] 2020-12-05 12:38:07 > Start Evaluation (76000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 12:38:07 > Calculating FID Score....
[INFO] 2020-12-05 12:38:44 > Calculating Inception Score....
[INFO] 2020-12-05 12:39:03 > Calculate F_beta Score....
[INFO] 2020-12-05 12:40:18 > Calculate Accuracies....
[INFO] 2020-12-05 12:40:31 > Calculate Accuracies....
[INFO] 2020-12-05 12:40:34 > F_8 score (Step: 76000, Using test images): 0.9897589366408397
[INFO] 2020-12-05 12:40:34 > F_1/8 score (Step: 76000, Using test images): 0.994178301583666
[INFO] 2020-12-05 12:40:34 > FID score (Step: 76000, Using test moments): 7.9370509828273725
[INFO] 2020-12-05 12:40:34 > Inception score (Step: 76000, 10000 generated images): 9.756535530090332
[INFO] 2020-12-05 12:40:34 > Best FID score (Step: 76000, Using test moments): 7.9370509828273725
[INFO] 2020-12-05 12:40:36 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 12:42:17 > Step: 76100 Progress: 76.1% Elapsed: 22:50:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.69736 Generator_loss: 2.25381
[INFO] 2020-12-05 12:43:56 > Step: 76200 Progress: 76.2% Elapsed: 22:52:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.96184 Generator_loss: 1.10827
[INFO] 2020-12-05 12:45:26 > Step: 76300 Progress: 76.3% Elapsed: 22:53:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.7705 Generator_loss: 2.19694
[INFO] 2020-12-05 12:46:55 > Step: 76400 Progress: 76.4% Elapsed: 22:55:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.75217 Generator_loss: 1.80716
[INFO] 2020-12-05 12:48:30 > Step: 76500 Progress: 76.5% Elapsed: 22:56:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.87695 Generator_loss: 1.57774
[INFO] 2020-12-05 12:50:11 > Step: 76600 Progress: 76.6% Elapsed: 22:58:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.9096 Generator_loss: 2.08609
[INFO] 2020-12-05 12:51:51 > Step: 76700 Progress: 76.7% Elapsed: 23:00:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.73587 Generator_loss: 2.16163
[INFO] 2020-12-05 12:53:29 > Step: 76800 Progress: 76.8% Elapsed: 23:01:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.69644 Generator_loss: 2.16688
[INFO] 2020-12-05 12:55:07 > Step: 76900 Progress: 76.9% Elapsed: 23:03:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.70284 Generator_loss: 2.18775
[INFO] 2020-12-05 12:56:46 > Step: 77000 Progress: 77.0% Elapsed: 23:04:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.76865 Generator_loss: 1.22689
[INFO] 2020-12-05 12:58:24 > Step: 77100 Progress: 77.1% Elapsed: 23:06:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.7167 Generator_loss: 1.72154
[INFO] 2020-12-05 13:00:04 > Step: 77200 Progress: 77.2% Elapsed: 23:08:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.82054 Generator_loss: 1.18114
[INFO] 2020-12-05 13:01:44 > Step: 77300 Progress: 77.3% Elapsed: 23:09:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.80825 Generator_loss: 1.69628
[INFO] 2020-12-05 13:03:20 > Step: 77400 Progress: 77.4% Elapsed: 23:11:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.81813 Generator_loss: 1.55033
[INFO] 2020-12-05 13:04:58 > Step: 77500 Progress: 77.5% Elapsed: 23:13:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.55906 Generator_loss: 1.77374
[INFO] 2020-12-05 13:06:36 > Step: 77600 Progress: 77.6% Elapsed: 23:14:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.75011 Generator_loss: 1.70408
[INFO] 2020-12-05 13:08:14 > Step: 77700 Progress: 77.7% Elapsed: 23:16:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.80918 Generator_loss: 1.69814
[INFO] 2020-12-05 13:09:52 > Step: 77800 Progress: 77.8% Elapsed: 23:18:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.69508 Generator_loss: 1.84963
[INFO] 2020-12-05 13:11:19 > Step: 77900 Progress: 77.9% Elapsed: 23:19:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.76978 Generator_loss: 1.75728
[INFO] 2020-12-05 13:12:38 > Step: 78000 Progress: 78.0% Elapsed: 23:20:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.03412 Generator_loss: 1.19379
[INFO] 2020-12-05 13:12:38 > Start Evaluation (78000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 13:12:38 > Calculating FID Score....
[INFO] 2020-12-05 13:13:16 > Calculating Inception Score....
[INFO] 2020-12-05 13:13:36 > Calculate F_beta Score....
[INFO] 2020-12-05 13:14:50 > Calculate Accuracies....
[INFO] 2020-12-05 13:15:03 > Calculate Accuracies....
[INFO] 2020-12-05 13:15:06 > F_8 score (Step: 78000, Using test images): 0.9892175740480257
[INFO] 2020-12-05 13:15:06 > F_1/8 score (Step: 78000, Using test images): 0.9951202976655955
[INFO] 2020-12-05 13:15:06 > FID score (Step: 78000, Using test moments): 7.976424924967262
[INFO] 2020-12-05 13:15:06 > Inception score (Step: 78000, 10000 generated images): 9.990056037902832
[INFO] 2020-12-05 13:15:06 > Best FID score (Step: 76000, Using test moments): 7.9370509828273725
[INFO] 2020-12-05 13:15:07 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 13:16:44 > Step: 78100 Progress: 78.1% Elapsed: 23:24:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.79059 Generator_loss: 2.13763
[INFO] 2020-12-05 13:18:22 > Step: 78200 Progress: 78.2% Elapsed: 23:26:34 temperature: 1.0 ada_p: No Discriminator_loss: 3.24996 Generator_loss: 1.58845
[INFO] 2020-12-05 13:20:00 > Step: 78300 Progress: 78.3% Elapsed: 23:28:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.69952 Generator_loss: 2.21824
[INFO] 2020-12-05 13:21:36 > Step: 78400 Progress: 78.4% Elapsed: 23:29:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.90201 Generator_loss: 1.38922
[INFO] 2020-12-05 13:23:13 > Step: 78500 Progress: 78.5% Elapsed: 23:31:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.51199 Generator_loss: 1.967
[INFO] 2020-12-05 13:24:53 > Step: 78600 Progress: 78.6% Elapsed: 23:33:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.75189 Generator_loss: 1.78514
[INFO] 2020-12-05 13:26:30 > Step: 78700 Progress: 78.7% Elapsed: 23:34:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.79758 Generator_loss: 1.55416
[INFO] 2020-12-05 13:28:07 > Step: 78800 Progress: 78.8% Elapsed: 23:36:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.80644 Generator_loss: 2.00681
[INFO] 2020-12-05 13:29:45 > Step: 78900 Progress: 78.9% Elapsed: 23:37:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.92051 Generator_loss: 1.29321
[INFO] 2020-12-05 13:31:24 > Step: 79000 Progress: 79.0% Elapsed: 23:39:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.77773 Generator_loss: 2.10441
[INFO] 2020-12-05 13:33:04 > Step: 79100 Progress: 79.1% Elapsed: 23:41:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.71751 Generator_loss: 1.98769
[INFO] 2020-12-05 13:34:45 > Step: 79200 Progress: 79.2% Elapsed: 23:42:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.76674 Generator_loss: 1.45932
[INFO] 2020-12-05 13:36:25 > Step: 79300 Progress: 79.3% Elapsed: 23:44:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.84837 Generator_loss: 1.70637
[INFO] 2020-12-05 13:38:07 > Step: 79400 Progress: 79.4% Elapsed: 23:46:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.62425 Generator_loss: 2.20867
[INFO] 2020-12-05 13:39:45 > Step: 79500 Progress: 79.5% Elapsed: 23:47:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.75408 Generator_loss: 1.56151
[INFO] 2020-12-05 13:41:23 > Step: 79600 Progress: 79.6% Elapsed: 23:49:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.84625 Generator_loss: 2.09042
[INFO] 2020-12-05 13:42:54 > Step: 79700 Progress: 79.7% Elapsed: 23:51:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.58394 Generator_loss: 2.19519
[INFO] 2020-12-05 13:44:28 > Step: 79800 Progress: 79.8% Elapsed: 23:52:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.70506 Generator_loss: 2.04852
[INFO] 2020-12-05 13:45:55 > Step: 79900 Progress: 79.9% Elapsed: 23:54:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.70648 Generator_loss: 1.57253
[INFO] 2020-12-05 13:47:14 > Step: 80000 Progress: 80.0% Elapsed: 23:55:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.68337 Generator_loss: 2.2371
[INFO] 2020-12-05 13:47:14 > Start Evaluation (80000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 13:47:14 > Calculating FID Score....
[INFO] 2020-12-05 13:47:51 > Calculating Inception Score....
[INFO] 2020-12-05 13:48:10 > Calculate F_beta Score....
[INFO] 2020-12-05 13:49:19 > Calculate Accuracies....
[INFO] 2020-12-05 13:49:30 > Calculate Accuracies....
[INFO] 2020-12-05 13:49:33 > F_8 score (Step: 80000, Using test images): 0.9897971544605059
[INFO] 2020-12-05 13:49:33 > F_1/8 score (Step: 80000, Using test images): 0.9948198531969694
[INFO] 2020-12-05 13:49:33 > FID score (Step: 80000, Using test moments): 7.843411302078948
[INFO] 2020-12-05 13:49:33 > Inception score (Step: 80000, 10000 generated images): 9.901036262512207
[INFO] 2020-12-05 13:49:33 > Best FID score (Step: 80000, Using test moments): 7.843411302078948
[INFO] 2020-12-05 13:49:35 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 13:51:10 > Step: 80100 Progress: 80.1% Elapsed: 23:59:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.87974 Generator_loss: 1.44268
[INFO] 2020-12-05 13:52:50 > Step: 80200 Progress: 80.2% Elapsed: 1 day, 0:01:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.79771 Generator_loss: 1.67016
[INFO] 2020-12-05 13:54:30 > Step: 80300 Progress: 80.3% Elapsed: 1 day, 0:02:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.10424 Generator_loss: 1.02975
[INFO] 2020-12-05 13:56:10 > Step: 80400 Progress: 80.4% Elapsed: 1 day, 0:04:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.73871 Generator_loss: 1.70001
[INFO] 2020-12-05 13:57:51 > Step: 80500 Progress: 80.5% Elapsed: 1 day, 0:06:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.9417 Generator_loss: 1.19668
[INFO] 2020-12-05 13:59:30 > Step: 80600 Progress: 80.6% Elapsed: 1 day, 0:07:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.01096 Generator_loss: 1.57189
[INFO] 2020-12-05 14:01:09 > Step: 80700 Progress: 80.7% Elapsed: 1 day, 0:09:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.76535 Generator_loss: 2.22677
[INFO] 2020-12-05 14:02:49 > Step: 80800 Progress: 80.8% Elapsed: 1 day, 0:11:01 temperature: 1.0 ada_p: No Discriminator_loss: 3.00285 Generator_loss: 1.84127
[INFO] 2020-12-05 14:04:27 > Step: 80900 Progress: 80.9% Elapsed: 1 day, 0:12:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.83265 Generator_loss: 2.0227
[INFO] 2020-12-05 14:06:04 > Step: 81000 Progress: 81.0% Elapsed: 1 day, 0:14:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.70214 Generator_loss: 2.34139
[INFO] 2020-12-05 14:07:45 > Step: 81100 Progress: 81.1% Elapsed: 1 day, 0:15:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.77319 Generator_loss: 1.59221
[INFO] 2020-12-05 14:09:25 > Step: 81200 Progress: 81.2% Elapsed: 1 day, 0:17:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.85551 Generator_loss: 1.51864
[INFO] 2020-12-05 14:11:04 > Step: 81300 Progress: 81.3% Elapsed: 1 day, 0:19:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.89371 Generator_loss: 1.41414
[INFO] 2020-12-05 14:12:43 > Step: 81400 Progress: 81.4% Elapsed: 1 day, 0:20:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.47623 Generator_loss: 2.1289
[INFO] 2020-12-05 14:14:22 > Step: 81500 Progress: 81.5% Elapsed: 1 day, 0:22:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.57894 Generator_loss: 2.35524
[INFO] 2020-12-05 14:15:56 > Step: 81600 Progress: 81.6% Elapsed: 1 day, 0:24:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.79524 Generator_loss: 1.7646
[INFO] 2020-12-05 14:17:37 > Step: 81700 Progress: 81.7% Elapsed: 1 day, 0:25:48 temperature: 1.0 ada_p: No Discriminator_loss: 3.01278 Generator_loss: 1.44711
[INFO] 2020-12-05 14:19:15 > Step: 81800 Progress: 81.8% Elapsed: 1 day, 0:27:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.64843 Generator_loss: 2.06167
[INFO] 2020-12-05 14:20:37 > Step: 81900 Progress: 81.9% Elapsed: 1 day, 0:28:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.81189 Generator_loss: 1.86664
[INFO] 2020-12-05 14:21:58 > Step: 82000 Progress: 82.0% Elapsed: 1 day, 0:30:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.72064 Generator_loss: 2.09529
[INFO] 2020-12-05 14:21:58 > Start Evaluation (82000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 14:21:59 > Calculating FID Score....
[INFO] 2020-12-05 14:22:36 > Calculating Inception Score....
[INFO] 2020-12-05 14:22:56 > Calculate F_beta Score....
[INFO] 2020-12-05 14:24:11 > Calculate Accuracies....
[INFO] 2020-12-05 14:24:24 > Calculate Accuracies....
[INFO] 2020-12-05 14:24:27 > F_8 score (Step: 82000, Using test images): 0.9922510183835138
[INFO] 2020-12-05 14:24:27 > F_1/8 score (Step: 82000, Using test images): 0.9951732936345788
[INFO] 2020-12-05 14:24:27 > FID score (Step: 82000, Using test moments): 7.942774820852549
[INFO] 2020-12-05 14:24:27 > Inception score (Step: 82000, 10000 generated images): 9.731051445007324
[INFO] 2020-12-05 14:24:27 > Best FID score (Step: 80000, Using test moments): 7.843411302078948
[INFO] 2020-12-05 14:24:28 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 14:26:08 > Step: 82100 Progress: 82.1% Elapsed: 1 day, 0:34:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.70536 Generator_loss: 2.27741
[INFO] 2020-12-05 14:27:47 > Step: 82200 Progress: 82.2% Elapsed: 1 day, 0:35:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.80599 Generator_loss: 1.52435
[INFO] 2020-12-05 14:29:24 > Step: 82300 Progress: 82.3% Elapsed: 1 day, 0:37:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.69588 Generator_loss: 1.57138
[INFO] 2020-12-05 14:31:05 > Step: 82400 Progress: 82.4% Elapsed: 1 day, 0:39:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.68921 Generator_loss: 1.71793
[INFO] 2020-12-05 14:32:47 > Step: 82500 Progress: 82.5% Elapsed: 1 day, 0:40:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.79849 Generator_loss: 1.67785
[INFO] 2020-12-05 14:34:27 > Step: 82600 Progress: 82.6% Elapsed: 1 day, 0:42:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.58447 Generator_loss: 1.75741
[INFO] 2020-12-05 14:36:05 > Step: 82700 Progress: 82.7% Elapsed: 1 day, 0:44:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.91831 Generator_loss: 1.8095
[INFO] 2020-12-05 14:37:46 > Step: 82800 Progress: 82.8% Elapsed: 1 day, 0:45:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.79658 Generator_loss: 1.52521
[INFO] 2020-12-05 14:39:22 > Step: 82900 Progress: 82.9% Elapsed: 1 day, 0:47:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.87668 Generator_loss: 1.40255
[INFO] 2020-12-05 14:41:03 > Step: 83000 Progress: 83.0% Elapsed: 1 day, 0:49:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.86838 Generator_loss: 1.91352
[INFO] 2020-12-05 14:42:40 > Step: 83100 Progress: 83.1% Elapsed: 1 day, 0:50:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.492 Generator_loss: 1.89236
[INFO] 2020-12-05 14:44:18 > Step: 83200 Progress: 83.2% Elapsed: 1 day, 0:52:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.61923 Generator_loss: 1.84093
[INFO] 2020-12-05 14:45:57 > Step: 83300 Progress: 83.3% Elapsed: 1 day, 0:54:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.71612 Generator_loss: 1.61902
[INFO] 2020-12-05 14:47:31 > Step: 83400 Progress: 83.4% Elapsed: 1 day, 0:55:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.77389 Generator_loss: 1.46175
[INFO] 2020-12-05 14:49:02 > Step: 83500 Progress: 83.5% Elapsed: 1 day, 0:57:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.72613 Generator_loss: 1.57607
[INFO] 2020-12-05 14:50:38 > Step: 83600 Progress: 83.6% Elapsed: 1 day, 0:58:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.72842 Generator_loss: 1.9037
[INFO] 2020-12-05 14:52:10 > Step: 83700 Progress: 83.7% Elapsed: 1 day, 1:00:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.75517 Generator_loss: 1.83842
[INFO] 2020-12-05 14:53:39 > Step: 83800 Progress: 83.8% Elapsed: 1 day, 1:01:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.72414 Generator_loss: 1.86635
[INFO] 2020-12-05 14:54:57 > Step: 83900 Progress: 83.9% Elapsed: 1 day, 1:03:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.87832 Generator_loss: 1.42152
[INFO] 2020-12-05 14:56:18 > Step: 84000 Progress: 84.0% Elapsed: 1 day, 1:04:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.07785 Generator_loss: 1.49809
[INFO] 2020-12-05 14:56:18 > Start Evaluation (84000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 14:56:18 > Calculating FID Score....
[INFO] 2020-12-05 14:56:56 > Calculating Inception Score....
[INFO] 2020-12-05 14:57:15 > Calculate F_beta Score....
[INFO] 2020-12-05 14:58:30 > Calculate Accuracies....
[INFO] 2020-12-05 14:58:43 > Calculate Accuracies....
[INFO] 2020-12-05 14:58:46 > F_8 score (Step: 84000, Using test images): 0.9929619653588324
[INFO] 2020-12-05 14:58:46 > F_1/8 score (Step: 84000, Using test images): 0.99590086814788
[INFO] 2020-12-05 14:58:46 > FID score (Step: 84000, Using test moments): 7.865581380231333
[INFO] 2020-12-05 14:58:46 > Inception score (Step: 84000, 10000 generated images): 9.818595886230469
[INFO] 2020-12-05 14:58:46 > Best FID score (Step: 80000, Using test moments): 7.843411302078948
[INFO] 2020-12-05 14:58:47 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 15:00:28 > Step: 84100 Progress: 84.1% Elapsed: 1 day, 1:08:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.64349 Generator_loss: 1.81618
[INFO] 2020-12-05 15:02:09 > Step: 84200 Progress: 84.2% Elapsed: 1 day, 1:10:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.55791 Generator_loss: 2.2531
[INFO] 2020-12-05 15:03:48 > Step: 84300 Progress: 84.3% Elapsed: 1 day, 1:12:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.75326 Generator_loss: 2.0007
[INFO] 2020-12-05 15:05:29 > Step: 84400 Progress: 84.4% Elapsed: 1 day, 1:13:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.7318 Generator_loss: 2.04255
[INFO] 2020-12-05 15:07:10 > Step: 84500 Progress: 84.5% Elapsed: 1 day, 1:15:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.86062 Generator_loss: 1.64934
[INFO] 2020-12-05 15:08:49 > Step: 84600 Progress: 84.6% Elapsed: 1 day, 1:17:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.76849 Generator_loss: 1.712
[INFO] 2020-12-05 15:10:30 > Step: 84700 Progress: 84.7% Elapsed: 1 day, 1:18:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.64953 Generator_loss: 2.09867
[INFO] 2020-12-05 15:12:05 > Step: 84800 Progress: 84.8% Elapsed: 1 day, 1:20:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.8528 Generator_loss: 1.24032
[INFO] 2020-12-05 15:13:42 > Step: 84900 Progress: 84.9% Elapsed: 1 day, 1:21:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.7368 Generator_loss: 2.07816
[INFO] 2020-12-05 15:15:22 > Step: 85000 Progress: 85.0% Elapsed: 1 day, 1:23:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.67063 Generator_loss: 2.17833
[INFO] 2020-12-05 15:16:59 > Step: 85100 Progress: 85.1% Elapsed: 1 day, 1:25:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.85962 Generator_loss: 1.36202
[INFO] 2020-12-05 15:18:39 > Step: 85200 Progress: 85.2% Elapsed: 1 day, 1:26:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.72806 Generator_loss: 2.16972
[INFO] 2020-12-05 15:20:19 > Step: 85300 Progress: 85.3% Elapsed: 1 day, 1:28:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.47603 Generator_loss: 1.5893
[INFO] 2020-12-05 15:21:57 > Step: 85400 Progress: 85.4% Elapsed: 1 day, 1:30:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.54943 Generator_loss: 2.13788
[INFO] 2020-12-05 15:23:37 > Step: 85500 Progress: 85.5% Elapsed: 1 day, 1:31:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.89893 Generator_loss: 2.12262
[INFO] 2020-12-05 15:25:15 > Step: 85600 Progress: 85.6% Elapsed: 1 day, 1:33:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.72388 Generator_loss: 1.9357
[INFO] 2020-12-05 15:26:53 > Step: 85700 Progress: 85.7% Elapsed: 1 day, 1:35:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.79021 Generator_loss: 1.96596
[INFO] 2020-12-05 15:28:31 > Step: 85800 Progress: 85.8% Elapsed: 1 day, 1:36:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.88509 Generator_loss: 1.35731
[INFO] 2020-12-05 15:29:52 > Step: 85900 Progress: 85.9% Elapsed: 1 day, 1:38:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.77497 Generator_loss: 1.83478
[INFO] 2020-12-05 15:31:16 > Step: 86000 Progress: 86.0% Elapsed: 1 day, 1:39:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.78014 Generator_loss: 1.83903
[INFO] 2020-12-05 15:31:16 > Start Evaluation (86000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 15:31:16 > Calculating FID Score....
[INFO] 2020-12-05 15:31:56 > Calculating Inception Score....
[INFO] 2020-12-05 15:32:16 > Calculate F_beta Score....
[INFO] 2020-12-05 15:33:31 > Calculate Accuracies....
[INFO] 2020-12-05 15:33:44 > Calculate Accuracies....
[INFO] 2020-12-05 15:33:47 > F_8 score (Step: 86000, Using test images): 0.9924113319986224
[INFO] 2020-12-05 15:33:47 > F_1/8 score (Step: 86000, Using test images): 0.9952567109351891
[INFO] 2020-12-05 15:33:47 > FID score (Step: 86000, Using test moments): 7.866557262243418
[INFO] 2020-12-05 15:33:47 > Inception score (Step: 86000, 10000 generated images): 9.933510780334473
[INFO] 2020-12-05 15:33:47 > Best FID score (Step: 80000, Using test moments): 7.843411302078948
[INFO] 2020-12-05 15:33:48 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 15:35:27 > Step: 86100 Progress: 86.1% Elapsed: 1 day, 1:43:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.70331 Generator_loss: 1.81589
[INFO] 2020-12-05 15:37:04 > Step: 86200 Progress: 86.2% Elapsed: 1 day, 1:45:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.61547 Generator_loss: 1.96442
[INFO] 2020-12-05 15:38:43 > Step: 86300 Progress: 86.3% Elapsed: 1 day, 1:46:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.90809 Generator_loss: 1.99653
[INFO] 2020-12-05 15:40:24 > Step: 86400 Progress: 86.4% Elapsed: 1 day, 1:48:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.66321 Generator_loss: 1.66021
[INFO] 2020-12-05 15:42:03 > Step: 86500 Progress: 86.5% Elapsed: 1 day, 1:50:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.63669 Generator_loss: 2.03025
[INFO] 2020-12-05 15:43:43 > Step: 86600 Progress: 86.6% Elapsed: 1 day, 1:51:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.7956 Generator_loss: 1.99234
[INFO] 2020-12-05 15:45:23 > Step: 86700 Progress: 86.7% Elapsed: 1 day, 1:53:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.85409 Generator_loss: 1.23697
[INFO] 2020-12-05 15:47:00 > Step: 86800 Progress: 86.8% Elapsed: 1 day, 1:55:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.84222 Generator_loss: 1.74977
[INFO] 2020-12-05 15:48:38 > Step: 86900 Progress: 86.9% Elapsed: 1 day, 1:56:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.8246 Generator_loss: 1.98438
[INFO] 2020-12-05 15:50:15 > Step: 87000 Progress: 87.0% Elapsed: 1 day, 1:58:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.70719 Generator_loss: 1.62601
[INFO] 2020-12-05 15:51:52 > Step: 87100 Progress: 87.1% Elapsed: 1 day, 2:00:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.86159 Generator_loss: 1.49581
[INFO] 2020-12-05 15:53:19 > Step: 87200 Progress: 87.2% Elapsed: 1 day, 2:01:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.55243 Generator_loss: 2.07984
[INFO] 2020-12-05 15:54:43 > Step: 87300 Progress: 87.3% Elapsed: 1 day, 2:02:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.59589 Generator_loss: 2.25345
[INFO] 2020-12-05 15:56:15 > Step: 87400 Progress: 87.4% Elapsed: 1 day, 2:04:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.58124 Generator_loss: 1.81391
[INFO] 2020-12-05 15:57:52 > Step: 87500 Progress: 87.5% Elapsed: 1 day, 2:06:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.74904 Generator_loss: 1.4155
[INFO] 2020-12-05 15:59:29 > Step: 87600 Progress: 87.6% Elapsed: 1 day, 2:07:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.64659 Generator_loss: 2.18584
[INFO] 2020-12-05 16:01:08 > Step: 87700 Progress: 87.7% Elapsed: 1 day, 2:09:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.66367 Generator_loss: 1.81083
[INFO] 2020-12-05 16:02:39 > Step: 87800 Progress: 87.8% Elapsed: 1 day, 2:10:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.62737 Generator_loss: 1.87726
[INFO] 2020-12-05 16:04:03 > Step: 87900 Progress: 87.9% Elapsed: 1 day, 2:12:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.60425 Generator_loss: 2.03723
[INFO] 2020-12-05 16:05:29 > Step: 88000 Progress: 88.0% Elapsed: 1 day, 2:13:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.66155 Generator_loss: 1.78476
[INFO] 2020-12-05 16:05:29 > Start Evaluation (88000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 16:05:29 > Calculating FID Score....
[INFO] 2020-12-05 16:06:07 > Calculating Inception Score....
[INFO] 2020-12-05 16:06:27 > Calculate F_beta Score....
[INFO] 2020-12-05 16:07:43 > Calculate Accuracies....
[INFO] 2020-12-05 16:07:56 > Calculate Accuracies....
[INFO] 2020-12-05 16:07:59 > F_8 score (Step: 88000, Using test images): 0.9905612326819329
[INFO] 2020-12-05 16:07:59 > F_1/8 score (Step: 88000, Using test images): 0.9951785673979476
[INFO] 2020-12-05 16:07:59 > FID score (Step: 88000, Using test moments): 7.937680728376733
[INFO] 2020-12-05 16:07:59 > Inception score (Step: 88000, 10000 generated images): 9.967168807983398
[INFO] 2020-12-05 16:07:59 > Best FID score (Step: 80000, Using test moments): 7.843411302078948
[INFO] 2020-12-05 16:08:00 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 16:09:40 > Step: 88100 Progress: 88.1% Elapsed: 1 day, 2:17:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.75007 Generator_loss: 1.89082
[INFO] 2020-12-05 16:11:19 > Step: 88200 Progress: 88.2% Elapsed: 1 day, 2:19:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.75466 Generator_loss: 1.68479
[INFO] 2020-12-05 16:12:58 > Step: 88300 Progress: 88.3% Elapsed: 1 day, 2:21:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.76581 Generator_loss: 1.56978
[INFO] 2020-12-05 16:14:38 > Step: 88400 Progress: 88.4% Elapsed: 1 day, 2:22:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.54888 Generator_loss: 2.13228
[INFO] 2020-12-05 16:16:18 > Step: 88500 Progress: 88.5% Elapsed: 1 day, 2:24:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.68999 Generator_loss: 2.05496
[INFO] 2020-12-05 16:17:56 > Step: 88600 Progress: 88.6% Elapsed: 1 day, 2:26:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.73763 Generator_loss: 2.16731
[INFO] 2020-12-05 16:19:34 > Step: 88700 Progress: 88.7% Elapsed: 1 day, 2:27:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.80877 Generator_loss: 1.78903
[INFO] 2020-12-05 16:21:12 > Step: 88800 Progress: 88.8% Elapsed: 1 day, 2:29:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.92098 Generator_loss: 1.51535
[INFO] 2020-12-05 16:22:50 > Step: 88900 Progress: 88.9% Elapsed: 1 day, 2:31:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.97007 Generator_loss: 1.93167
[INFO] 2020-12-05 16:24:31 > Step: 89000 Progress: 89.0% Elapsed: 1 day, 2:32:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.65408 Generator_loss: 1.85763
[INFO] 2020-12-05 16:26:10 > Step: 89100 Progress: 89.1% Elapsed: 1 day, 2:34:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.81235 Generator_loss: 1.59174
[INFO] 2020-12-05 16:27:48 > Step: 89200 Progress: 89.2% Elapsed: 1 day, 2:36:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.70713 Generator_loss: 1.86174
[INFO] 2020-12-05 16:29:24 > Step: 89300 Progress: 89.3% Elapsed: 1 day, 2:37:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.75034 Generator_loss: 1.80703
[INFO] 2020-12-05 16:31:03 > Step: 89400 Progress: 89.4% Elapsed: 1 day, 2:39:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.62058 Generator_loss: 1.88603
[INFO] 2020-12-05 16:32:39 > Step: 89500 Progress: 89.5% Elapsed: 1 day, 2:40:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.73132 Generator_loss: 1.61796
[INFO] 2020-12-05 16:34:18 > Step: 89600 Progress: 89.6% Elapsed: 1 day, 2:42:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.68889 Generator_loss: 2.38249
[INFO] 2020-12-05 16:35:56 > Step: 89700 Progress: 89.7% Elapsed: 1 day, 2:44:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.6087 Generator_loss: 2.02262
[INFO] 2020-12-05 16:37:30 > Step: 89800 Progress: 89.8% Elapsed: 1 day, 2:45:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.79524 Generator_loss: 1.69615
[INFO] 2020-12-05 16:38:52 > Step: 89900 Progress: 89.9% Elapsed: 1 day, 2:47:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.63173 Generator_loss: 1.69815
[INFO] 2020-12-05 16:40:20 > Step: 90000 Progress: 90.0% Elapsed: 1 day, 2:48:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.81454 Generator_loss: 1.78185
[INFO] 2020-12-05 16:40:20 > Start Evaluation (90000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 16:40:20 > Calculating FID Score....
[INFO] 2020-12-05 16:41:00 > Calculating Inception Score....
[INFO] 2020-12-05 16:41:19 > Calculate F_beta Score....
[INFO] 2020-12-05 16:42:37 > Calculate Accuracies....
[INFO] 2020-12-05 16:42:49 > Calculate Accuracies....
[INFO] 2020-12-05 16:42:52 > F_8 score (Step: 90000, Using test images): 0.9913322920328124
[INFO] 2020-12-05 16:42:52 > F_1/8 score (Step: 90000, Using test images): 0.9940942129614799
[INFO] 2020-12-05 16:42:52 > FID score (Step: 90000, Using test moments): 7.890947405397867
[INFO] 2020-12-05 16:42:52 > Inception score (Step: 90000, 10000 generated images): 9.777517318725586
[INFO] 2020-12-05 16:42:52 > Best FID score (Step: 80000, Using test moments): 7.843411302078948
[INFO] 2020-12-05 16:42:53 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 16:44:31 > Step: 90100 Progress: 90.1% Elapsed: 1 day, 2:52:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.59202 Generator_loss: 1.61025
[INFO] 2020-12-05 16:46:07 > Step: 90200 Progress: 90.2% Elapsed: 1 day, 2:54:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.7133 Generator_loss: 1.98388
[INFO] 2020-12-05 16:47:48 > Step: 90300 Progress: 90.3% Elapsed: 1 day, 2:56:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.5903 Generator_loss: 1.98762
[INFO] 2020-12-05 16:49:26 > Step: 90400 Progress: 90.4% Elapsed: 1 day, 2:57:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.66424 Generator_loss: 1.75324
[INFO] 2020-12-05 16:51:03 > Step: 90500 Progress: 90.5% Elapsed: 1 day, 2:59:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.72444 Generator_loss: 2.28707
[INFO] 2020-12-05 16:52:43 > Step: 90600 Progress: 90.6% Elapsed: 1 day, 3:00:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.63705 Generator_loss: 1.94129
[INFO] 2020-12-05 16:54:22 > Step: 90700 Progress: 90.7% Elapsed: 1 day, 3:02:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.73235 Generator_loss: 1.69979
[INFO] 2020-12-05 16:55:56 > Step: 90800 Progress: 90.8% Elapsed: 1 day, 3:04:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.65219 Generator_loss: 1.91219
[INFO] 2020-12-05 16:57:29 > Step: 90900 Progress: 90.9% Elapsed: 1 day, 3:05:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.82356 Generator_loss: 1.72152
[INFO] 2020-12-05 16:58:56 > Step: 91000 Progress: 91.0% Elapsed: 1 day, 3:07:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.82473 Generator_loss: 2.05844
[INFO] 2020-12-05 17:00:25 > Step: 91100 Progress: 91.1% Elapsed: 1 day, 3:08:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.73537 Generator_loss: 1.17175
[INFO] 2020-12-05 17:02:05 > Step: 91200 Progress: 91.2% Elapsed: 1 day, 3:10:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.80043 Generator_loss: 1.71636
[INFO] 2020-12-05 17:03:42 > Step: 91300 Progress: 91.3% Elapsed: 1 day, 3:11:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.54423 Generator_loss: 1.94169
[INFO] 2020-12-05 17:05:20 > Step: 91400 Progress: 91.4% Elapsed: 1 day, 3:13:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.66594 Generator_loss: 1.67154
[INFO] 2020-12-05 17:06:59 > Step: 91500 Progress: 91.5% Elapsed: 1 day, 3:15:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.83956 Generator_loss: 1.4638
[INFO] 2020-12-05 17:08:40 > Step: 91600 Progress: 91.6% Elapsed: 1 day, 3:16:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.59266 Generator_loss: 1.77562
[INFO] 2020-12-05 17:10:18 > Step: 91700 Progress: 91.7% Elapsed: 1 day, 3:18:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.79172 Generator_loss: 1.81981
[INFO] 2020-12-05 17:11:50 > Step: 91800 Progress: 91.8% Elapsed: 1 day, 3:20:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.80313 Generator_loss: 1.96075
[INFO] 2020-12-05 17:13:11 > Step: 91900 Progress: 91.9% Elapsed: 1 day, 3:21:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.83851 Generator_loss: 1.59718
[INFO] 2020-12-05 17:14:39 > Step: 92000 Progress: 92.0% Elapsed: 1 day, 3:22:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.93004 Generator_loss: 1.84934
[INFO] 2020-12-05 17:14:39 > Start Evaluation (92000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 17:14:39 > Calculating FID Score....
[INFO] 2020-12-05 17:15:20 > Calculating Inception Score....
[INFO] 2020-12-05 17:15:39 > Calculate F_beta Score....
[INFO] 2020-12-05 17:16:57 > Calculate Accuracies....
[INFO] 2020-12-05 17:17:10 > Calculate Accuracies....
[INFO] 2020-12-05 17:17:13 > F_8 score (Step: 92000, Using test images): 0.9903231116929385
[INFO] 2020-12-05 17:17:13 > F_1/8 score (Step: 92000, Using test images): 0.99396901301044
[INFO] 2020-12-05 17:17:13 > FID score (Step: 92000, Using test moments): 7.888787272521654
[INFO] 2020-12-05 17:17:13 > Inception score (Step: 92000, 10000 generated images): 9.955467224121094
[INFO] 2020-12-05 17:17:13 > Best FID score (Step: 80000, Using test moments): 7.843411302078948
[INFO] 2020-12-05 17:17:14 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 17:18:52 > Step: 92100 Progress: 92.1% Elapsed: 1 day, 3:27:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.69672 Generator_loss: 1.91161
[INFO] 2020-12-05 17:20:31 > Step: 92200 Progress: 92.2% Elapsed: 1 day, 3:28:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.75131 Generator_loss: 1.85494
[INFO] 2020-12-05 17:22:08 > Step: 92300 Progress: 92.3% Elapsed: 1 day, 3:30:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.86485 Generator_loss: 1.30591
[INFO] 2020-12-05 17:23:45 > Step: 92400 Progress: 92.4% Elapsed: 1 day, 3:31:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.56587 Generator_loss: 2.14376
[INFO] 2020-12-05 17:25:26 > Step: 92500 Progress: 92.5% Elapsed: 1 day, 3:33:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.9483 Generator_loss: 1.14866
[INFO] 2020-12-05 17:27:04 > Step: 92600 Progress: 92.6% Elapsed: 1 day, 3:35:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.83731 Generator_loss: 2.08028
[INFO] 2020-12-05 17:28:43 > Step: 92700 Progress: 92.7% Elapsed: 1 day, 3:36:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.66333 Generator_loss: 2.12105
[INFO] 2020-12-05 17:30:22 > Step: 92800 Progress: 92.8% Elapsed: 1 day, 3:38:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.78365 Generator_loss: 2.02174
[INFO] 2020-12-05 17:32:02 > Step: 92900 Progress: 92.9% Elapsed: 1 day, 3:40:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.67853 Generator_loss: 1.89839
[INFO] 2020-12-05 17:33:39 > Step: 93000 Progress: 93.0% Elapsed: 1 day, 3:41:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.87465 Generator_loss: 1.34314
[INFO] 2020-12-05 17:35:18 > Step: 93100 Progress: 93.1% Elapsed: 1 day, 3:43:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.63871 Generator_loss: 2.10393
[INFO] 2020-12-05 17:36:56 > Step: 93200 Progress: 93.2% Elapsed: 1 day, 3:45:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.91922 Generator_loss: 1.69668
[INFO] 2020-12-05 17:38:36 > Step: 93300 Progress: 93.3% Elapsed: 1 day, 3:46:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.84044 Generator_loss: 1.55594
[INFO] 2020-12-05 17:40:14 > Step: 93400 Progress: 93.4% Elapsed: 1 day, 3:48:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.96084 Generator_loss: 1.31434
[INFO] 2020-12-05 17:41:54 > Step: 93500 Progress: 93.5% Elapsed: 1 day, 3:50:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.68984 Generator_loss: 1.8837
[INFO] 2020-12-05 17:43:33 > Step: 93600 Progress: 93.6% Elapsed: 1 day, 3:51:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.71601 Generator_loss: 1.99859
[INFO] 2020-12-05 17:45:13 > Step: 93700 Progress: 93.7% Elapsed: 1 day, 3:53:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.81317 Generator_loss: 1.73
[INFO] 2020-12-05 17:46:42 > Step: 93800 Progress: 93.8% Elapsed: 1 day, 3:54:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.91068 Generator_loss: 1.81462
[INFO] 2020-12-05 17:48:05 > Step: 93900 Progress: 93.9% Elapsed: 1 day, 3:56:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.9423 Generator_loss: 1.43439
[INFO] 2020-12-05 17:49:35 > Step: 94000 Progress: 94.0% Elapsed: 1 day, 3:57:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.90988 Generator_loss: 1.55132
[INFO] 2020-12-05 17:49:35 > Start Evaluation (94000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 17:49:35 > Calculating FID Score....
[INFO] 2020-12-05 17:50:16 > Calculating Inception Score....
[INFO] 2020-12-05 17:50:35 > Calculate F_beta Score....
[INFO] 2020-12-05 17:51:52 > Calculate Accuracies....
[INFO] 2020-12-05 17:52:04 > Calculate Accuracies....
[INFO] 2020-12-05 17:52:07 > F_8 score (Step: 94000, Using test images): 0.9922836808253058
[INFO] 2020-12-05 17:52:07 > F_1/8 score (Step: 94000, Using test images): 0.9936370596188888
[INFO] 2020-12-05 17:52:07 > FID score (Step: 94000, Using test moments): 7.81737267995004
[INFO] 2020-12-05 17:52:07 > Inception score (Step: 94000, 10000 generated images): 10.025522232055664
[INFO] 2020-12-05 17:52:07 > Best FID score (Step: 94000, Using test moments): 7.81737267995004
[INFO] 2020-12-05 17:52:09 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 17:53:48 > Step: 94100 Progress: 94.1% Elapsed: 1 day, 4:02:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.70809 Generator_loss: 1.66718
[INFO] 2020-12-05 17:55:28 > Step: 94200 Progress: 94.2% Elapsed: 1 day, 4:03:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.71887 Generator_loss: 1.7087
[INFO] 2020-12-05 17:57:06 > Step: 94300 Progress: 94.3% Elapsed: 1 day, 4:05:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.74058 Generator_loss: 1.92659
[INFO] 2020-12-05 17:58:40 > Step: 94400 Progress: 94.4% Elapsed: 1 day, 4:06:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.69439 Generator_loss: 1.69856
[INFO] 2020-12-05 18:00:14 > Step: 94500 Progress: 94.5% Elapsed: 1 day, 4:08:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.8958 Generator_loss: 1.29847
[INFO] 2020-12-05 18:01:48 > Step: 94600 Progress: 94.6% Elapsed: 1 day, 4:10:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.64261 Generator_loss: 1.7282
[INFO] 2020-12-05 18:03:18 > Step: 94700 Progress: 94.7% Elapsed: 1 day, 4:11:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.87957 Generator_loss: 1.70778
[INFO] 2020-12-05 18:04:47 > Step: 94800 Progress: 94.8% Elapsed: 1 day, 4:12:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.52788 Generator_loss: 2.13594
[INFO] 2020-12-05 18:06:22 > Step: 94900 Progress: 94.9% Elapsed: 1 day, 4:14:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.64147 Generator_loss: 2.07561
[INFO] 2020-12-05 18:07:58 > Step: 95000 Progress: 95.0% Elapsed: 1 day, 4:16:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.85073 Generator_loss: 1.7345
[INFO] 2020-12-05 18:09:36 > Step: 95100 Progress: 95.1% Elapsed: 1 day, 4:17:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.81133 Generator_loss: 1.8847
[INFO] 2020-12-05 18:11:15 > Step: 95200 Progress: 95.2% Elapsed: 1 day, 4:19:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.68401 Generator_loss: 1.71412
[INFO] 2020-12-05 18:12:53 > Step: 95300 Progress: 95.3% Elapsed: 1 day, 4:21:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.79619 Generator_loss: 1.7438
[INFO] 2020-12-05 18:14:27 > Step: 95400 Progress: 95.4% Elapsed: 1 day, 4:22:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.71129 Generator_loss: 1.67362
[INFO] 2020-12-05 18:16:09 > Step: 95500 Progress: 95.5% Elapsed: 1 day, 4:24:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.86629 Generator_loss: 2.12987
[INFO] 2020-12-05 18:17:46 > Step: 95600 Progress: 95.6% Elapsed: 1 day, 4:25:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.85868 Generator_loss: 1.61567
[INFO] 2020-12-05 18:19:24 > Step: 95700 Progress: 95.7% Elapsed: 1 day, 4:27:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.68776 Generator_loss: 2.32857
[INFO] 2020-12-05 18:20:52 > Step: 95800 Progress: 95.8% Elapsed: 1 day, 4:29:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.92522 Generator_loss: 1.40682
[INFO] 2020-12-05 18:22:14 > Step: 95900 Progress: 95.9% Elapsed: 1 day, 4:30:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.65248 Generator_loss: 1.97742
[INFO] 2020-12-05 18:23:44 > Step: 96000 Progress: 96.0% Elapsed: 1 day, 4:31:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.90877 Generator_loss: 1.85293
[INFO] 2020-12-05 18:23:44 > Start Evaluation (96000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 18:23:44 > Calculating FID Score....
[INFO] 2020-12-05 18:24:22 > Calculating Inception Score....
[INFO] 2020-12-05 18:24:42 > Calculate F_beta Score....
[INFO] 2020-12-05 18:25:59 > Calculate Accuracies....
[INFO] 2020-12-05 18:26:12 > Calculate Accuracies....
[INFO] 2020-12-05 18:26:15 > F_8 score (Step: 96000, Using test images): 0.9908242100518978
[INFO] 2020-12-05 18:26:15 > F_1/8 score (Step: 96000, Using test images): 0.9935336091633927
[INFO] 2020-12-05 18:26:15 > FID score (Step: 96000, Using test moments): 7.89021416991136
[INFO] 2020-12-05 18:26:15 > Inception score (Step: 96000, 10000 generated images): 9.905506134033203
[INFO] 2020-12-05 18:26:15 > Best FID score (Step: 94000, Using test moments): 7.81737267995004
[INFO] 2020-12-05 18:26:16 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 18:27:56 > Step: 96100 Progress: 96.1% Elapsed: 1 day, 4:36:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.90701 Generator_loss: 1.31139
[INFO] 2020-12-05 18:29:35 > Step: 96200 Progress: 96.2% Elapsed: 1 day, 4:37:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.77157 Generator_loss: 1.66398
[INFO] 2020-12-05 18:31:13 > Step: 96300 Progress: 96.3% Elapsed: 1 day, 4:39:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.6568 Generator_loss: 1.85092
[INFO] 2020-12-05 18:32:51 > Step: 96400 Progress: 96.4% Elapsed: 1 day, 4:41:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.7773 Generator_loss: 1.64231
[INFO] 2020-12-05 18:34:28 > Step: 96500 Progress: 96.5% Elapsed: 1 day, 4:42:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.73424 Generator_loss: 1.98292
[INFO] 2020-12-05 18:36:06 > Step: 96600 Progress: 96.6% Elapsed: 1 day, 4:44:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.58923 Generator_loss: 1.81027
[INFO] 2020-12-05 18:37:46 > Step: 96700 Progress: 96.7% Elapsed: 1 day, 4:45:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.95972 Generator_loss: 1.82903
[INFO] 2020-12-05 18:39:26 > Step: 96800 Progress: 96.8% Elapsed: 1 day, 4:47:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.64751 Generator_loss: 1.72135
[INFO] 2020-12-05 18:41:03 > Step: 96900 Progress: 96.9% Elapsed: 1 day, 4:49:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.69871 Generator_loss: 1.6961
[INFO] 2020-12-05 18:42:39 > Step: 97000 Progress: 97.0% Elapsed: 1 day, 4:50:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.57954 Generator_loss: 1.78781
[INFO] 2020-12-05 18:44:19 > Step: 97100 Progress: 97.1% Elapsed: 1 day, 4:52:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.78632 Generator_loss: 1.69339
[INFO] 2020-12-05 18:45:57 > Step: 97200 Progress: 97.2% Elapsed: 1 day, 4:54:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.72734 Generator_loss: 1.76153
[INFO] 2020-12-05 18:47:33 > Step: 97300 Progress: 97.3% Elapsed: 1 day, 4:55:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.77389 Generator_loss: 1.38008
[INFO] 2020-12-05 18:49:12 > Step: 97400 Progress: 97.4% Elapsed: 1 day, 4:57:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.89237 Generator_loss: 1.33947
[INFO] 2020-12-05 18:50:48 > Step: 97500 Progress: 97.5% Elapsed: 1 day, 4:59:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.60153 Generator_loss: 1.87051
[INFO] 2020-12-05 18:52:27 > Step: 97600 Progress: 97.6% Elapsed: 1 day, 5:00:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.72834 Generator_loss: 1.66867
[INFO] 2020-12-05 18:54:06 > Step: 97700 Progress: 97.7% Elapsed: 1 day, 5:02:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.57967 Generator_loss: 1.98353
[INFO] 2020-12-05 18:55:35 > Step: 97800 Progress: 97.8% Elapsed: 1 day, 5:03:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.88162 Generator_loss: 1.72162
[INFO] 2020-12-05 18:56:58 > Step: 97900 Progress: 97.9% Elapsed: 1 day, 5:05:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.76038 Generator_loss: 1.5967
[INFO] 2020-12-05 18:58:29 > Step: 98000 Progress: 98.0% Elapsed: 1 day, 5:06:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.20228 Generator_loss: 1.0853
[INFO] 2020-12-05 18:58:29 > Start Evaluation (98000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 18:58:29 > Calculating FID Score....
[INFO] 2020-12-05 18:59:07 > Calculating Inception Score....
[INFO] 2020-12-05 18:59:27 > Calculate F_beta Score....
[INFO] 2020-12-05 19:00:33 > Calculate Accuracies....
[INFO] 2020-12-05 19:00:43 > Calculate Accuracies....
[INFO] 2020-12-05 19:00:46 > F_8 score (Step: 98000, Using test images): 0.9915074866286029
[INFO] 2020-12-05 19:00:46 > F_1/8 score (Step: 98000, Using test images): 0.994023351575199
[INFO] 2020-12-05 19:00:46 > FID score (Step: 98000, Using test moments): 7.8210500578229585
[INFO] 2020-12-05 19:00:46 > Inception score (Step: 98000, 10000 generated images): 9.917387962341309
[INFO] 2020-12-05 19:00:46 > Best FID score (Step: 94000, Using test moments): 7.81737267995004
[INFO] 2020-12-05 19:00:46 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 19:02:10 > Step: 98100 Progress: 98.1% Elapsed: 1 day, 5:10:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.7054 Generator_loss: 1.8421
[INFO] 2020-12-05 19:03:35 > Step: 98200 Progress: 98.2% Elapsed: 1 day, 5:11:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.87836 Generator_loss: 2.09677
[INFO] 2020-12-05 19:04:55 > Step: 98300 Progress: 98.3% Elapsed: 1 day, 5:13:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.59586 Generator_loss: 1.60177
[INFO] 2020-12-05 19:06:22 > Step: 98400 Progress: 98.4% Elapsed: 1 day, 5:14:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.90377 Generator_loss: 1.53425
[INFO] 2020-12-05 19:07:47 > Step: 98500 Progress: 98.5% Elapsed: 1 day, 5:15:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.89043 Generator_loss: 1.88554
[INFO] 2020-12-05 19:09:07 > Step: 98600 Progress: 98.6% Elapsed: 1 day, 5:17:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.73295 Generator_loss: 1.54708
[INFO] 2020-12-05 19:10:30 > Step: 98700 Progress: 98.7% Elapsed: 1 day, 5:18:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.81197 Generator_loss: 2.21543
[INFO] 2020-12-05 19:11:59 > Step: 98800 Progress: 98.8% Elapsed: 1 day, 5:20:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.81782 Generator_loss: 2.14983
[INFO] 2020-12-05 19:13:24 > Step: 98900 Progress: 98.9% Elapsed: 1 day, 5:21:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.85036 Generator_loss: 1.23559
[INFO] 2020-12-05 19:14:53 > Step: 99000 Progress: 99.0% Elapsed: 1 day, 5:23:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.77196 Generator_loss: 1.45987
[INFO] 2020-12-05 19:16:21 > Step: 99100 Progress: 99.1% Elapsed: 1 day, 5:24:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.85107 Generator_loss: 1.63679
[INFO] 2020-12-05 19:17:49 > Step: 99200 Progress: 99.2% Elapsed: 1 day, 5:26:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.66153 Generator_loss: 1.63831
[INFO] 2020-12-05 19:19:16 > Step: 99300 Progress: 99.3% Elapsed: 1 day, 5:27:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.36188 Generator_loss: 0.479985
[INFO] 2020-12-05 19:20:45 > Step: 99400 Progress: 99.4% Elapsed: 1 day, 5:28:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.63004 Generator_loss: 2.04857
[INFO] 2020-12-05 19:22:14 > Step: 99500 Progress: 99.5% Elapsed: 1 day, 5:30:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.63736 Generator_loss: 1.53419
[INFO] 2020-12-05 19:23:40 > Step: 99600 Progress: 99.6% Elapsed: 1 day, 5:31:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.81149 Generator_loss: 1.67213
[INFO] 2020-12-05 19:25:06 > Step: 99700 Progress: 99.7% Elapsed: 1 day, 5:33:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.88212 Generator_loss: 1.65516
[INFO] 2020-12-05 19:26:26 > Step: 99800 Progress: 99.8% Elapsed: 1 day, 5:34:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.70688 Generator_loss: 2.20223
[INFO] 2020-12-05 19:27:45 > Step: 99900 Progress: 99.9% Elapsed: 1 day, 5:35:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.67144 Generator_loss: 1.98689
[INFO] 2020-12-05 19:29:01 > Step: 100000 Progress: 100.0% Elapsed: 1 day, 5:37:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.70138 Generator_loss: 1.85212
[INFO] 2020-12-05 19:29:01 > Start Evaluation (100000 Step): CRGAN(C)-train-2020_12_04_13_51_40
[INFO] 2020-12-05 19:29:01 > Calculating FID Score....
[INFO] 2020-12-05 19:29:36 > Calculating Inception Score....
[INFO] 2020-12-05 19:29:55 > Calculate F_beta Score....
[INFO] 2020-12-05 19:30:59 > Calculate Accuracies....
[INFO] 2020-12-05 19:31:08 > Calculate Accuracies....
[INFO] 2020-12-05 19:31:10 > F_8 score (Step: 100000, Using test images): 0.9931073027342308
[INFO] 2020-12-05 19:31:10 > F_1/8 score (Step: 100000, Using test images): 0.9952434385351797
[INFO] 2020-12-05 19:31:10 > FID score (Step: 100000, Using test moments): 7.685235079536994
[INFO] 2020-12-05 19:31:10 > Inception score (Step: 100000, 10000 generated images): 9.81155776977539
[INFO] 2020-12-05 19:31:10 > Best FID score (Step: 100000, Using test moments): 7.685235079536994
[INFO] 2020-12-05 19:31:12 > Save model to checkpoints/CRGAN(C)-train-2020_12_04_13_51_40