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CRGAN(C)-train-2021_01_01_08_56_13.log
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CRGAN(C)-train-2021_01_01_08_56_13.log
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[INFO] 2021-01-01 08:56:13 > Run name : CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 08:56:13 > {'config_path': './src/configs/TINY_ILSVRC2012/CRGAN(C).json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, 'num_workers': 8, 'synchronized_bn': True, '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': 'valid'}
[INFO] 2021-01-01 08:56:13 > {'data_processing': {'dataset_name': 'tiny_imagenet', 'data_path': './data/TINY_ILSVRC2012', 'img_size': 64, 'num_classes': 200, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'ContraGAN', 'pos_collected_numerator': True, 'hypersphere_dim': 768, 'nonlinear_embed': False, 'normalize_embed': True, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 3, 'attention_after_nth_dis_block': 1, 'z_dim': 100, 'shared_dim': 128, 'g_conv_dim': 80, 'd_conv_dim': 80, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 1024, 'accumulation_steps': 1, 'd_lr': 0.0004, 'g_lr': 0.0001, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 1, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 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': 20000}}}
[INFO] 2021-01-01 08:56:13 > Load train datasets...
[INFO] 2021-01-01 08:56:23 > Train dataset size : 100000
[INFO] 2021-01-01 08:56:23 > Load valid datasets...
[INFO] 2021-01-01 08:56:23 > Eval dataset size : 10000
[INFO] 2021-01-01 08:56:23 > Build model...
[INFO] 2021-01-01 08:56:23 > Modules are located on models.big_resnet.
[INFO] 2021-01-01 08:56:28 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-01-01 08:56:28 > Number of parameters: 17335204
[INFO] 2021-01-01 08:56:28 > Generator(
(linear0): Linear(in_features=20, out_features=20480, bias=True)
(shared): Embedding(200, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1280, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1280, bias=False)
(bias): Linear(in_features=148, out_features=1280, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1280, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1280, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(320, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(80, 160, 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)
)
)
(4): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=80, bias=False)
(bias): Linear(in_features=148, out_features=80, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(80, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-01 08:56:28 > Number of parameters: 31678130
[INFO] 2021-01-01 08:56:28 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, 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(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(80, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(40, 80, 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(80, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(80, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, 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)
(conv2d0): Conv2d(160, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, 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)
(conv2d0): Conv2d(320, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(5): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 1280, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1280, 1280, 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=1280, out_features=1, bias=True)
(linear2): Linear(in_features=1280, out_features=768, bias=True)
(embedding): Embedding(200, 768)
)
[INFO] 2021-01-01 08:56:31 > Start training....
[INFO] 2021-01-01 08:59:39 > Step: 100 Progress: 0.1% Elapsed: 0:03:07 temperature: 1.0 ada_p: No Discriminator_loss: 7.09396 Generator_loss: 5.28649
[INFO] 2021-01-01 09:02:30 > Step: 200 Progress: 0.2% Elapsed: 0:05:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.7746 Generator_loss: 5.99112
[INFO] 2021-01-01 09:05:22 > Step: 300 Progress: 0.3% Elapsed: 0:08:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.88435 Generator_loss: 5.08982
[INFO] 2021-01-01 09:08:13 > Step: 400 Progress: 0.4% Elapsed: 0:11:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.92422 Generator_loss: 5.04033
[INFO] 2021-01-01 09:11:05 > Step: 500 Progress: 0.5% Elapsed: 0:14:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.9697 Generator_loss: 5.44737
[INFO] 2021-01-01 09:13:59 > Step: 600 Progress: 0.6% Elapsed: 0:17:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.87464 Generator_loss: 5.6735
[INFO] 2021-01-01 09:16:51 > Step: 700 Progress: 0.7% Elapsed: 0:20:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.98528 Generator_loss: 4.82717
[INFO] 2021-01-01 09:19:44 > Step: 800 Progress: 0.8% Elapsed: 0:23:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.96366 Generator_loss: 4.82213
[INFO] 2021-01-01 09:22:37 > Step: 900 Progress: 0.9% Elapsed: 0:26:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.7811 Generator_loss: 4.01653
[INFO] 2021-01-01 09:25:31 > Step: 1000 Progress: 1.0% Elapsed: 0:28:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.78505 Generator_loss: 5.08579
[INFO] 2021-01-01 09:28:26 > Step: 1100 Progress: 1.1% Elapsed: 0:31:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.92682 Generator_loss: 4.71917
[INFO] 2021-01-01 09:31:19 > Step: 1200 Progress: 1.2% Elapsed: 0:34:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.78036 Generator_loss: 4.77655
[INFO] 2021-01-01 09:34:15 > Step: 1300 Progress: 1.3% Elapsed: 0:37:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.79359 Generator_loss: 4.65831
[INFO] 2021-01-01 09:37:10 > Step: 1400 Progress: 1.4% Elapsed: 0:40:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.74088 Generator_loss: 4.22092
[INFO] 2021-01-01 09:40:07 > Step: 1500 Progress: 1.5% Elapsed: 0:43:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.78203 Generator_loss: 4.5225
[INFO] 2021-01-01 09:43:05 > Step: 1600 Progress: 1.6% Elapsed: 0:46:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.93537 Generator_loss: 4.66992
[INFO] 2021-01-01 09:46:03 > Step: 1700 Progress: 1.7% Elapsed: 0:49:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.66114 Generator_loss: 5.33251
[INFO] 2021-01-01 09:49:01 > Step: 1800 Progress: 1.8% Elapsed: 0:52:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.67709 Generator_loss: 4.21417
[INFO] 2021-01-01 09:52:00 > Step: 1900 Progress: 1.9% Elapsed: 0:55:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.51238 Generator_loss: 4.95122
[INFO] 2021-01-01 09:54:58 > Step: 2000 Progress: 2.0% Elapsed: 0:58:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.65376 Generator_loss: 3.98325
[INFO] 2021-01-01 09:54:58 > Start Evaluation (2000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 09:54:58 > Calculating FID Score....
[INFO] 2021-01-01 09:55:18 > Calculating Inception Score....
[INFO] 2021-01-01 09:55:24 > Calculate F_beta Score....
[INFO] 2021-01-01 09:55:47 > Calculate Accuracies....
[INFO] 2021-01-01 09:55:50 > Calculate Accuracies....
[INFO] 2021-01-01 09:55:52 > F_8 score (Step: 2000, Using valid images): 0.2882608187050511
[INFO] 2021-01-01 09:55:52 > F_1/8 score (Step: 2000, Using valid images): 0.4926659259210118
[INFO] 2021-01-01 09:55:52 > FID score (Step: 2000, Using valid moments): 108.97117186640492
[INFO] 2021-01-01 09:55:52 > Inception score (Step: 2000, 10000 generated images): 4.529927730560303
[INFO] 2021-01-01 09:55:52 > Best FID score (Step: 2000, Using valid moments): 108.97117186640492
[INFO] 2021-01-01 09:56:07 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 09:59:05 > Step: 2100 Progress: 2.1% Elapsed: 1:02:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.7156 Generator_loss: 5.00963
[INFO] 2021-01-01 10:02:03 > Step: 2200 Progress: 2.2% Elapsed: 1:05:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.7272 Generator_loss: 5.49575
[INFO] 2021-01-01 10:05:01 > Step: 2300 Progress: 2.3% Elapsed: 1:08:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.86333 Generator_loss: 4.39819
[INFO] 2021-01-01 10:07:59 > Step: 2400 Progress: 2.4% Elapsed: 1:11:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.68178 Generator_loss: 4.19981
[INFO] 2021-01-01 10:10:57 > Step: 2500 Progress: 2.5% Elapsed: 1:14:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.60927 Generator_loss: 4.34368
[INFO] 2021-01-01 10:13:55 > Step: 2600 Progress: 2.6% Elapsed: 1:17:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.6164 Generator_loss: 5.32994
[INFO] 2021-01-01 10:16:52 > Step: 2700 Progress: 2.7% Elapsed: 1:20:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.63943 Generator_loss: 4.40738
[INFO] 2021-01-01 10:19:49 > Step: 2800 Progress: 2.8% Elapsed: 1:23:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.81471 Generator_loss: 4.72123
[INFO] 2021-01-01 10:22:45 > Step: 2900 Progress: 2.9% Elapsed: 1:26:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.73676 Generator_loss: 4.78103
[INFO] 2021-01-01 10:25:45 > Step: 3000 Progress: 3.0% Elapsed: 1:29:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.70712 Generator_loss: 4.45818
[INFO] 2021-01-01 10:28:42 > Step: 3100 Progress: 3.1% Elapsed: 1:32:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.74587 Generator_loss: 4.72385
[INFO] 2021-01-01 10:31:40 > Step: 3200 Progress: 3.2% Elapsed: 1:35:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.65029 Generator_loss: 4.09882
[INFO] 2021-01-01 10:34:38 > Step: 3300 Progress: 3.3% Elapsed: 1:38:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.67987 Generator_loss: 5.27325
[INFO] 2021-01-01 10:37:35 > Step: 3400 Progress: 3.4% Elapsed: 1:41:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.63314 Generator_loss: 4.58991
[INFO] 2021-01-01 10:40:34 > Step: 3500 Progress: 3.5% Elapsed: 1:44:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.45959 Generator_loss: 4.69552
[INFO] 2021-01-01 10:43:33 > Step: 3600 Progress: 3.6% Elapsed: 1:47:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.68707 Generator_loss: 4.43136
[INFO] 2021-01-01 10:46:31 > Step: 3700 Progress: 3.7% Elapsed: 1:50:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.70399 Generator_loss: 5.49411
[INFO] 2021-01-01 10:49:29 > Step: 3800 Progress: 3.8% Elapsed: 1:52:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.5535 Generator_loss: 5.33801
[INFO] 2021-01-01 10:52:26 > Step: 3900 Progress: 3.9% Elapsed: 1:55:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.58366 Generator_loss: 5.01766
[INFO] 2021-01-01 10:55:24 > Step: 4000 Progress: 4.0% Elapsed: 1:58:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.61277 Generator_loss: 5.35826
[INFO] 2021-01-01 10:55:24 > Start Evaluation (4000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 10:55:24 > Calculating FID Score....
[INFO] 2021-01-01 10:55:41 > Calculating Inception Score....
[INFO] 2021-01-01 10:55:47 > Calculate F_beta Score....
[INFO] 2021-01-01 10:56:08 > Calculate Accuracies....
[INFO] 2021-01-01 10:56:11 > Calculate Accuracies....
[INFO] 2021-01-01 10:56:13 > F_8 score (Step: 4000, Using valid images): 0.5114117739753624
[INFO] 2021-01-01 10:56:13 > F_1/8 score (Step: 4000, Using valid images): 0.7878529523127104
[INFO] 2021-01-01 10:56:13 > FID score (Step: 4000, Using valid moments): 72.81980156905047
[INFO] 2021-01-01 10:56:13 > Inception score (Step: 4000, 10000 generated images): 6.5565900802612305
[INFO] 2021-01-01 10:56:13 > Best FID score (Step: 4000, Using valid moments): 72.81980156905047
[INFO] 2021-01-01 10:56:27 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 10:59:27 > Step: 4100 Progress: 4.1% Elapsed: 2:02:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.53804 Generator_loss: 4.63062
[INFO] 2021-01-01 11:02:24 > Step: 4200 Progress: 4.2% Elapsed: 2:05:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.55545 Generator_loss: 5.57553
[INFO] 2021-01-01 11:05:22 > Step: 4300 Progress: 4.3% Elapsed: 2:08:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.45714 Generator_loss: 4.64147
[INFO] 2021-01-01 11:08:19 > Step: 4400 Progress: 4.4% Elapsed: 2:11:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.54836 Generator_loss: 4.52505
[INFO] 2021-01-01 11:11:17 > Step: 4500 Progress: 4.5% Elapsed: 2:14:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.7587 Generator_loss: 4.72
[INFO] 2021-01-01 11:14:15 > Step: 4600 Progress: 4.6% Elapsed: 2:17:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.61366 Generator_loss: 5.53512
[INFO] 2021-01-01 11:17:14 > Step: 4700 Progress: 4.7% Elapsed: 2:20:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.61273 Generator_loss: 4.09234
[INFO] 2021-01-01 11:20:12 > Step: 4800 Progress: 4.8% Elapsed: 2:23:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.52158 Generator_loss: 4.27575
[INFO] 2021-01-01 11:23:10 > Step: 4900 Progress: 4.9% Elapsed: 2:26:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.54568 Generator_loss: 5.49292
[INFO] 2021-01-01 11:26:08 > Step: 5000 Progress: 5.0% Elapsed: 2:29:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.45974 Generator_loss: 3.92294
[INFO] 2021-01-01 11:29:07 > Step: 5100 Progress: 5.1% Elapsed: 2:32:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.63235 Generator_loss: 4.51556
[INFO] 2021-01-01 11:32:05 > Step: 5200 Progress: 5.2% Elapsed: 2:35:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.74376 Generator_loss: 5.00553
[INFO] 2021-01-01 11:35:02 > Step: 5300 Progress: 5.3% Elapsed: 2:38:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.62958 Generator_loss: 4.98847
[INFO] 2021-01-01 11:38:01 > Step: 5400 Progress: 5.4% Elapsed: 2:41:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.45156 Generator_loss: 4.62322
[INFO] 2021-01-01 11:41:00 > Step: 5500 Progress: 5.5% Elapsed: 2:44:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.39657 Generator_loss: 4.28375
[INFO] 2021-01-01 11:43:58 > Step: 5600 Progress: 5.6% Elapsed: 2:47:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.549 Generator_loss: 5.69548
[INFO] 2021-01-01 11:46:58 > Step: 5700 Progress: 5.7% Elapsed: 2:50:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.41794 Generator_loss: 4.33346
[INFO] 2021-01-01 11:49:58 > Step: 5800 Progress: 5.8% Elapsed: 2:53:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.64819 Generator_loss: 5.23827
[INFO] 2021-01-01 11:52:56 > Step: 5900 Progress: 5.9% Elapsed: 2:56:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.52547 Generator_loss: 4.69962
[INFO] 2021-01-01 11:55:53 > Step: 6000 Progress: 6.0% Elapsed: 2:59:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.4796 Generator_loss: 4.50451
[INFO] 2021-01-01 11:55:53 > Start Evaluation (6000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 11:55:53 > Calculating FID Score....
[INFO] 2021-01-01 11:56:10 > Calculating Inception Score....
[INFO] 2021-01-01 11:56:16 > Calculate F_beta Score....
[INFO] 2021-01-01 11:56:38 > Calculate Accuracies....
[INFO] 2021-01-01 11:56:41 > Calculate Accuracies....
[INFO] 2021-01-01 11:56:43 > F_8 score (Step: 6000, Using valid images): 0.6270044255832501
[INFO] 2021-01-01 11:56:43 > F_1/8 score (Step: 6000, Using valid images): 0.8752410987096477
[INFO] 2021-01-01 11:56:43 > FID score (Step: 6000, Using valid moments): 55.008197848044006
[INFO] 2021-01-01 11:56:43 > Inception score (Step: 6000, 10000 generated images): 8.727295875549316
[INFO] 2021-01-01 11:56:43 > Best FID score (Step: 6000, Using valid moments): 55.008197848044006
[INFO] 2021-01-01 11:56:57 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 11:59:57 > Step: 6100 Progress: 6.1% Elapsed: 3:03:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.65431 Generator_loss: 5.11212
[INFO] 2021-01-01 12:02:55 > Step: 6200 Progress: 6.2% Elapsed: 3:06:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.65899 Generator_loss: 5.40907
[INFO] 2021-01-01 12:05:53 > Step: 6300 Progress: 6.3% Elapsed: 3:09:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.51187 Generator_loss: 4.70583
[INFO] 2021-01-01 12:08:52 > Step: 6400 Progress: 6.4% Elapsed: 3:12:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.43639 Generator_loss: 5.38417
[INFO] 2021-01-01 12:11:51 > Step: 6500 Progress: 6.5% Elapsed: 3:15:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.65419 Generator_loss: 4.06971
[INFO] 2021-01-01 12:14:50 > Step: 6600 Progress: 6.6% Elapsed: 3:18:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.34427 Generator_loss: 5.21557
[INFO] 2021-01-01 12:17:47 > Step: 6700 Progress: 6.7% Elapsed: 3:21:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.55575 Generator_loss: 4.05731
[INFO] 2021-01-01 12:20:46 > Step: 6800 Progress: 6.8% Elapsed: 3:24:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.43773 Generator_loss: 4.64167
[INFO] 2021-01-01 12:23:46 > Step: 6900 Progress: 6.9% Elapsed: 3:27:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.51021 Generator_loss: 4.50054
[INFO] 2021-01-01 12:26:46 > Step: 7000 Progress: 7.0% Elapsed: 3:30:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.57772 Generator_loss: 4.55569
[INFO] 2021-01-01 12:29:44 > Step: 7100 Progress: 7.1% Elapsed: 3:33:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.55412 Generator_loss: 5.27771
[INFO] 2021-01-01 12:32:41 > Step: 7200 Progress: 7.2% Elapsed: 3:36:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.50017 Generator_loss: 4.80334
[INFO] 2021-01-01 12:35:40 > Step: 7300 Progress: 7.3% Elapsed: 3:39:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.50396 Generator_loss: 5.38459
[INFO] 2021-01-01 12:38:37 > Step: 7400 Progress: 7.4% Elapsed: 3:42:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.65424 Generator_loss: 5.31927
[INFO] 2021-01-01 12:41:35 > Step: 7500 Progress: 7.5% Elapsed: 3:45:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.36695 Generator_loss: 4.20325
[INFO] 2021-01-01 12:44:33 > Step: 7600 Progress: 7.6% Elapsed: 3:48:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.5496 Generator_loss: 4.71687
[INFO] 2021-01-01 12:47:32 > Step: 7700 Progress: 7.7% Elapsed: 3:51:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.39603 Generator_loss: 3.6925
[INFO] 2021-01-01 12:50:30 > Step: 7800 Progress: 7.8% Elapsed: 3:53:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.51442 Generator_loss: 4.91657
[INFO] 2021-01-01 12:53:29 > Step: 7900 Progress: 7.9% Elapsed: 3:56:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.42172 Generator_loss: 5.27446
[INFO] 2021-01-01 12:56:27 > Step: 8000 Progress: 8.0% Elapsed: 3:59:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.41283 Generator_loss: 5.61654
[INFO] 2021-01-01 12:56:27 > Start Evaluation (8000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 12:56:27 > Calculating FID Score....
[INFO] 2021-01-01 12:56:44 > Calculating Inception Score....
[INFO] 2021-01-01 12:56:49 > Calculate F_beta Score....
[INFO] 2021-01-01 12:57:11 > Calculate Accuracies....
[INFO] 2021-01-01 12:57:15 > Calculate Accuracies....
[INFO] 2021-01-01 12:57:16 > F_8 score (Step: 8000, Using valid images): 0.6331111864242447
[INFO] 2021-01-01 12:57:16 > F_1/8 score (Step: 8000, Using valid images): 0.918667632207533
[INFO] 2021-01-01 12:57:16 > FID score (Step: 8000, Using valid moments): 52.30110022328137
[INFO] 2021-01-01 12:57:16 > Inception score (Step: 8000, 10000 generated images): 8.807220458984375
[INFO] 2021-01-01 12:57:16 > Best FID score (Step: 8000, Using valid moments): 52.30110022328137
[INFO] 2021-01-01 12:57:30 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 13:00:30 > Step: 8100 Progress: 8.1% Elapsed: 4:03:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.43388 Generator_loss: 4.6129
[INFO] 2021-01-01 13:03:27 > Step: 8200 Progress: 8.2% Elapsed: 4:06:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.46276 Generator_loss: 5.52783
[INFO] 2021-01-01 13:06:25 > Step: 8300 Progress: 8.3% Elapsed: 4:09:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.34205 Generator_loss: 3.87823
[INFO] 2021-01-01 13:09:23 > Step: 8400 Progress: 8.4% Elapsed: 4:12:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.34244 Generator_loss: 5.00731
[INFO] 2021-01-01 13:12:21 > Step: 8500 Progress: 8.5% Elapsed: 4:15:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.56977 Generator_loss: 4.72533
[INFO] 2021-01-01 13:15:18 > Step: 8600 Progress: 8.6% Elapsed: 4:18:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.33593 Generator_loss: 5.48502
[INFO] 2021-01-01 13:18:15 > Step: 8700 Progress: 8.7% Elapsed: 4:21:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.49369 Generator_loss: 4.72438
[INFO] 2021-01-01 13:21:13 > Step: 8800 Progress: 8.8% Elapsed: 4:24:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.5529 Generator_loss: 4.92125
[INFO] 2021-01-01 13:24:11 > Step: 8900 Progress: 8.9% Elapsed: 4:27:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.39428 Generator_loss: 5.37902
[INFO] 2021-01-01 13:27:10 > Step: 9000 Progress: 9.0% Elapsed: 4:30:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.63525 Generator_loss: 3.71361
[INFO] 2021-01-01 13:30:06 > Step: 9100 Progress: 9.1% Elapsed: 4:33:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.48542 Generator_loss: 4.67518
[INFO] 2021-01-01 13:33:04 > Step: 9200 Progress: 9.2% Elapsed: 4:36:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.30922 Generator_loss: 4.30692
[INFO] 2021-01-01 13:36:01 > Step: 9300 Progress: 9.3% Elapsed: 4:39:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.35404 Generator_loss: 4.88655
[INFO] 2021-01-01 13:39:00 > Step: 9400 Progress: 9.4% Elapsed: 4:42:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.67369 Generator_loss: 4.25338
[INFO] 2021-01-01 13:41:58 > Step: 9500 Progress: 9.5% Elapsed: 4:45:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.26443 Generator_loss: 4.85048
[INFO] 2021-01-01 13:44:55 > Step: 9600 Progress: 9.6% Elapsed: 4:48:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.62632 Generator_loss: 4.63787
[INFO] 2021-01-01 13:47:52 > Step: 9700 Progress: 9.7% Elapsed: 4:51:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.24659 Generator_loss: 3.86966
[INFO] 2021-01-01 13:50:52 > Step: 9800 Progress: 9.8% Elapsed: 4:54:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.54624 Generator_loss: 4.37882
[INFO] 2021-01-01 13:53:49 > Step: 9900 Progress: 9.9% Elapsed: 4:57:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.47222 Generator_loss: 4.67794
[INFO] 2021-01-01 13:56:47 > Step: 10000 Progress: 10.0% Elapsed: 5:00:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.26794 Generator_loss: 4.22537
[INFO] 2021-01-01 13:56:47 > Start Evaluation (10000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 13:56:47 > Calculating FID Score....
[INFO] 2021-01-01 13:57:03 > Calculating Inception Score....
[INFO] 2021-01-01 13:57:09 > Calculate F_beta Score....
[INFO] 2021-01-01 13:57:30 > Calculate Accuracies....
[INFO] 2021-01-01 13:57:34 > Calculate Accuracies....
[INFO] 2021-01-01 13:57:35 > F_8 score (Step: 10000, Using valid images): 0.6956438041980597
[INFO] 2021-01-01 13:57:35 > F_1/8 score (Step: 10000, Using valid images): 0.9074710675020911
[INFO] 2021-01-01 13:57:35 > FID score (Step: 10000, Using valid moments): 48.1171226621467
[INFO] 2021-01-01 13:57:35 > Inception score (Step: 10000, 10000 generated images): 9.50444221496582
[INFO] 2021-01-01 13:57:35 > Best FID score (Step: 10000, Using valid moments): 48.1171226621467
[INFO] 2021-01-01 13:57:49 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 14:00:47 > Step: 10100 Progress: 10.1% Elapsed: 5:04:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.37139 Generator_loss: 5.45094
[INFO] 2021-01-01 14:03:47 > Step: 10200 Progress: 10.2% Elapsed: 5:07:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.46085 Generator_loss: 4.85245
[INFO] 2021-01-01 14:06:45 > Step: 10300 Progress: 10.3% Elapsed: 5:10:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.21716 Generator_loss: 4.01141
[INFO] 2021-01-01 14:09:44 > Step: 10400 Progress: 10.4% Elapsed: 5:13:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.42127 Generator_loss: 5.00394
[INFO] 2021-01-01 14:12:44 > Step: 10500 Progress: 10.5% Elapsed: 5:16:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.27379 Generator_loss: 5.07849
[INFO] 2021-01-01 14:15:41 > Step: 10600 Progress: 10.6% Elapsed: 5:19:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.38679 Generator_loss: 4.82512
[INFO] 2021-01-01 14:18:40 > Step: 10700 Progress: 10.7% Elapsed: 5:22:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.20289 Generator_loss: 4.76757
[INFO] 2021-01-01 14:21:37 > Step: 10800 Progress: 10.8% Elapsed: 5:25:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.41663 Generator_loss: 4.58761
[INFO] 2021-01-01 14:24:35 > Step: 10900 Progress: 10.9% Elapsed: 5:28:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.47386 Generator_loss: 5.37492
[INFO] 2021-01-01 14:27:36 > Step: 11000 Progress: 11.0% Elapsed: 5:31:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.31887 Generator_loss: 4.85605
[INFO] 2021-01-01 14:30:33 > Step: 11100 Progress: 11.1% Elapsed: 5:34:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.2045 Generator_loss: 5.34197
[INFO] 2021-01-01 14:33:31 > Step: 11200 Progress: 11.2% Elapsed: 5:36:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.24643 Generator_loss: 4.79522
[INFO] 2021-01-01 14:36:29 > Step: 11300 Progress: 11.3% Elapsed: 5:39:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.30523 Generator_loss: 3.97499
[INFO] 2021-01-01 14:39:29 > Step: 11400 Progress: 11.4% Elapsed: 5:42:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.37582 Generator_loss: 4.82392
[INFO] 2021-01-01 14:42:26 > Step: 11500 Progress: 11.5% Elapsed: 5:45:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.15351 Generator_loss: 5.12368
[INFO] 2021-01-01 14:45:24 > Step: 11600 Progress: 11.6% Elapsed: 5:48:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.50309 Generator_loss: 4.53095
[INFO] 2021-01-01 14:48:22 > Step: 11700 Progress: 11.7% Elapsed: 5:51:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.50798 Generator_loss: 4.66845
[INFO] 2021-01-01 14:51:19 > Step: 11800 Progress: 11.8% Elapsed: 5:54:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.29341 Generator_loss: 4.98598
[INFO] 2021-01-01 14:54:19 > Step: 11900 Progress: 11.9% Elapsed: 5:57:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.31616 Generator_loss: 5.37815
[INFO] 2021-01-01 14:57:16 > Step: 12000 Progress: 12.0% Elapsed: 6:00:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.43934 Generator_loss: 4.0673
[INFO] 2021-01-01 14:57:16 > Start Evaluation (12000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 14:57:16 > Calculating FID Score....
[INFO] 2021-01-01 14:57:33 > Calculating Inception Score....
[INFO] 2021-01-01 14:57:38 > Calculate F_beta Score....
[INFO] 2021-01-01 14:58:00 > Calculate Accuracies....
[INFO] 2021-01-01 14:58:04 > Calculate Accuracies....
[INFO] 2021-01-01 14:58:05 > F_8 score (Step: 12000, Using valid images): 0.7497808422238137
[INFO] 2021-01-01 14:58:05 > F_1/8 score (Step: 12000, Using valid images): 0.9210939451965117
[INFO] 2021-01-01 14:58:05 > FID score (Step: 12000, Using valid moments): 44.722580687015466
[INFO] 2021-01-01 14:58:05 > Inception score (Step: 12000, 10000 generated images): 9.682984352111816
[INFO] 2021-01-01 14:58:05 > Best FID score (Step: 12000, Using valid moments): 44.722580687015466
[INFO] 2021-01-01 14:58:19 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 15:01:18 > Step: 12100 Progress: 12.1% Elapsed: 6:04:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.41458 Generator_loss: 5.03878
[INFO] 2021-01-01 15:04:16 > Step: 12200 Progress: 12.2% Elapsed: 6:07:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.3628 Generator_loss: 5.47297
[INFO] 2021-01-01 15:07:14 > Step: 12300 Progress: 12.3% Elapsed: 6:10:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.59116 Generator_loss: 3.96655
[INFO] 2021-01-01 15:10:12 > Step: 12400 Progress: 12.4% Elapsed: 6:13:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.24345 Generator_loss: 5.46817
[INFO] 2021-01-01 15:13:11 > Step: 12500 Progress: 12.5% Elapsed: 6:16:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.143 Generator_loss: 4.02064
[INFO] 2021-01-01 15:16:08 > Step: 12600 Progress: 12.6% Elapsed: 6:19:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.28363 Generator_loss: 5.34724
[INFO] 2021-01-01 15:19:07 > Step: 12700 Progress: 12.7% Elapsed: 6:22:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.37802 Generator_loss: 3.85446
[INFO] 2021-01-01 15:22:04 > Step: 12800 Progress: 12.8% Elapsed: 6:25:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.62717 Generator_loss: 4.02993
[INFO] 2021-01-01 15:25:01 > Step: 12900 Progress: 12.9% Elapsed: 6:28:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.29771 Generator_loss: 4.72063
[INFO] 2021-01-01 15:28:01 > Step: 13000 Progress: 13.0% Elapsed: 6:31:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.41824 Generator_loss: 4.84611
[INFO] 2021-01-01 15:31:00 > Step: 13100 Progress: 13.1% Elapsed: 6:34:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.06474 Generator_loss: 4.46601
[INFO] 2021-01-01 15:33:59 > Step: 13200 Progress: 13.2% Elapsed: 6:37:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.19467 Generator_loss: 5.49475
[INFO] 2021-01-01 15:36:57 > Step: 13300 Progress: 13.3% Elapsed: 6:40:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.37008 Generator_loss: 4.51299
[INFO] 2021-01-01 15:39:56 > Step: 13400 Progress: 13.4% Elapsed: 6:43:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.01634 Generator_loss: 5.73076
[INFO] 2021-01-01 15:42:55 > Step: 13500 Progress: 13.5% Elapsed: 6:46:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.1984 Generator_loss: 5.51985
[INFO] 2021-01-01 15:45:54 > Step: 13600 Progress: 13.6% Elapsed: 6:49:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.43719 Generator_loss: 4.83843
[INFO] 2021-01-01 15:48:51 > Step: 13700 Progress: 13.7% Elapsed: 6:52:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.07107 Generator_loss: 4.91349
[INFO] 2021-01-01 15:51:49 > Step: 13800 Progress: 13.8% Elapsed: 6:55:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.39469 Generator_loss: 3.63969
[INFO] 2021-01-01 15:54:48 > Step: 13900 Progress: 13.9% Elapsed: 6:58:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.36142 Generator_loss: 4.63193
[INFO] 2021-01-01 15:57:47 > Step: 14000 Progress: 14.0% Elapsed: 7:01:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.38926 Generator_loss: 4.87259
[INFO] 2021-01-01 15:57:47 > Start Evaluation (14000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 15:57:47 > Calculating FID Score....
[INFO] 2021-01-01 15:58:04 > Calculating Inception Score....
[INFO] 2021-01-01 15:58:10 > Calculate F_beta Score....
[INFO] 2021-01-01 15:58:31 > Calculate Accuracies....
[INFO] 2021-01-01 15:58:35 > Calculate Accuracies....
[INFO] 2021-01-01 15:58:36 > F_8 score (Step: 14000, Using valid images): 0.826515376827944
[INFO] 2021-01-01 15:58:36 > F_1/8 score (Step: 14000, Using valid images): 0.9553711550693132
[INFO] 2021-01-01 15:58:36 > FID score (Step: 14000, Using valid moments): 37.84707377627666
[INFO] 2021-01-01 15:58:36 > Inception score (Step: 14000, 10000 generated images): 10.998956680297852
[INFO] 2021-01-01 15:58:36 > Best FID score (Step: 14000, Using valid moments): 37.84707377627666
[INFO] 2021-01-01 15:58:50 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 16:01:51 > Step: 14100 Progress: 14.1% Elapsed: 7:05:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.18809 Generator_loss: 5.40002
[INFO] 2021-01-01 16:04:50 > Step: 14200 Progress: 14.2% Elapsed: 7:08:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.1154 Generator_loss: 5.3362
[INFO] 2021-01-01 16:07:51 > Step: 14300 Progress: 14.3% Elapsed: 7:11:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.02121 Generator_loss: 5.36952
[INFO] 2021-01-01 16:10:51 > Step: 14400 Progress: 14.4% Elapsed: 7:14:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.04692 Generator_loss: 5.54364
[INFO] 2021-01-01 16:13:52 > Step: 14500 Progress: 14.5% Elapsed: 7:17:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.26781 Generator_loss: 5.44593
[INFO] 2021-01-01 16:16:51 > Step: 14600 Progress: 14.6% Elapsed: 7:20:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.0893 Generator_loss: 5.72023
[INFO] 2021-01-01 16:19:51 > Step: 14700 Progress: 14.7% Elapsed: 7:23:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.10097 Generator_loss: 4.96467
[INFO] 2021-01-01 16:22:51 > Step: 14800 Progress: 14.8% Elapsed: 7:26:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.02785 Generator_loss: 4.09125
[INFO] 2021-01-01 16:25:50 > Step: 14900 Progress: 14.9% Elapsed: 7:29:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.0784 Generator_loss: 4.76208
[INFO] 2021-01-01 16:28:51 > Step: 15000 Progress: 15.0% Elapsed: 7:32:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.93596 Generator_loss: 4.05928
[INFO] 2021-01-01 16:31:48 > Step: 15100 Progress: 15.1% Elapsed: 7:35:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.21624 Generator_loss: 4.68161
[INFO] 2021-01-01 16:34:45 > Step: 15200 Progress: 15.2% Elapsed: 7:38:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.18463 Generator_loss: 5.64626
[INFO] 2021-01-01 16:37:44 > Step: 15300 Progress: 15.3% Elapsed: 7:41:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.15162 Generator_loss: 4.96466
[INFO] 2021-01-01 16:40:45 > Step: 15400 Progress: 15.4% Elapsed: 7:44:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.53378 Generator_loss: 4.38437
[INFO] 2021-01-01 16:43:46 > Step: 15500 Progress: 15.5% Elapsed: 7:47:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.50333 Generator_loss: 4.16979
[INFO] 2021-01-01 16:46:44 > Step: 15600 Progress: 15.6% Elapsed: 7:50:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.01256 Generator_loss: 3.86989
[INFO] 2021-01-01 16:49:42 > Step: 15700 Progress: 15.7% Elapsed: 7:53:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.06472 Generator_loss: 3.53199
[INFO] 2021-01-01 16:52:41 > Step: 15800 Progress: 15.8% Elapsed: 7:56:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.0669 Generator_loss: 5.17234
[INFO] 2021-01-01 16:55:41 > Step: 15900 Progress: 15.9% Elapsed: 7:59:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.43642 Generator_loss: 4.53136
[INFO] 2021-01-01 16:58:40 > Step: 16000 Progress: 16.0% Elapsed: 8:02:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.32519 Generator_loss: 4.93116
[INFO] 2021-01-01 16:58:40 > Start Evaluation (16000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 16:58:40 > Calculating FID Score....
[INFO] 2021-01-01 16:58:56 > Calculating Inception Score....
[INFO] 2021-01-01 16:59:02 > Calculate F_beta Score....
[INFO] 2021-01-01 16:59:23 > Calculate Accuracies....
[INFO] 2021-01-01 16:59:27 > Calculate Accuracies....
[INFO] 2021-01-01 16:59:29 > F_8 score (Step: 16000, Using valid images): 0.7799892227642735
[INFO] 2021-01-01 16:59:29 > F_1/8 score (Step: 16000, Using valid images): 0.9464427049911128
[INFO] 2021-01-01 16:59:29 > FID score (Step: 16000, Using valid moments): 37.39162361885951
[INFO] 2021-01-01 16:59:29 > Inception score (Step: 16000, 10000 generated images): 10.993029594421387
[INFO] 2021-01-01 16:59:29 > Best FID score (Step: 16000, Using valid moments): 37.39162361885951
[INFO] 2021-01-01 16:59:43 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 17:02:41 > Step: 16100 Progress: 16.1% Elapsed: 8:06:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.09794 Generator_loss: 3.98167
[INFO] 2021-01-01 17:05:43 > Step: 16200 Progress: 16.2% Elapsed: 8:09:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.98131 Generator_loss: 5.41077
[INFO] 2021-01-01 17:08:43 > Step: 16300 Progress: 16.3% Elapsed: 8:12:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.0144 Generator_loss: 4.41799
[INFO] 2021-01-01 17:11:41 > Step: 16400 Progress: 16.4% Elapsed: 8:15:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.20823 Generator_loss: 5.40228
[INFO] 2021-01-01 17:14:41 > Step: 16500 Progress: 16.5% Elapsed: 8:18:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.19564 Generator_loss: 3.67107
[INFO] 2021-01-01 17:17:40 > Step: 16600 Progress: 16.6% Elapsed: 8:21:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.147 Generator_loss: 3.82159
[INFO] 2021-01-01 17:20:39 > Step: 16700 Progress: 16.7% Elapsed: 8:24:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.06897 Generator_loss: 5.5028
[INFO] 2021-01-01 17:23:36 > Step: 16800 Progress: 16.8% Elapsed: 8:27:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.12415 Generator_loss: 3.602
[INFO] 2021-01-01 17:26:33 > Step: 16900 Progress: 16.9% Elapsed: 8:30:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.06745 Generator_loss: 5.08894
[INFO] 2021-01-01 17:29:32 > Step: 17000 Progress: 17.0% Elapsed: 8:33:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.93174 Generator_loss: 5.47198
[INFO] 2021-01-01 17:32:29 > Step: 17100 Progress: 17.1% Elapsed: 8:35:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.91236 Generator_loss: 4.0777
[INFO] 2021-01-01 17:35:29 > Step: 17200 Progress: 17.2% Elapsed: 8:38:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.90189 Generator_loss: 4.28446
[INFO] 2021-01-01 17:38:27 > Step: 17300 Progress: 17.3% Elapsed: 8:41:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.24564 Generator_loss: 4.63796
[INFO] 2021-01-01 17:41:26 > Step: 17400 Progress: 17.4% Elapsed: 8:44:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.03423 Generator_loss: 4.38521
[INFO] 2021-01-01 17:44:24 > Step: 17500 Progress: 17.5% Elapsed: 8:47:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.00537 Generator_loss: 3.71344
[INFO] 2021-01-01 17:47:22 > Step: 17600 Progress: 17.6% Elapsed: 8:50:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.89201 Generator_loss: 5.49145
[INFO] 2021-01-01 17:50:20 > Step: 17700 Progress: 17.7% Elapsed: 8:53:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.35006 Generator_loss: 4.57925
[INFO] 2021-01-01 17:53:17 > Step: 17800 Progress: 17.8% Elapsed: 8:56:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.93402 Generator_loss: 5.50766
[INFO] 2021-01-01 17:56:15 > Step: 17900 Progress: 17.9% Elapsed: 8:59:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.49712 Generator_loss: 4.36695
[INFO] 2021-01-01 17:59:15 > Step: 18000 Progress: 18.0% Elapsed: 9:02:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.01114 Generator_loss: 5.89302
[INFO] 2021-01-01 17:59:15 > Start Evaluation (18000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 17:59:15 > Calculating FID Score....
[INFO] 2021-01-01 17:59:31 > Calculating Inception Score....
[INFO] 2021-01-01 17:59:37 > Calculate F_beta Score....
[INFO] 2021-01-01 17:59:58 > Calculate Accuracies....
[INFO] 2021-01-01 18:00:01 > Calculate Accuracies....
[INFO] 2021-01-01 18:00:03 > F_8 score (Step: 18000, Using valid images): 0.7805907310529921
[INFO] 2021-01-01 18:00:03 > F_1/8 score (Step: 18000, Using valid images): 0.958299877530754
[INFO] 2021-01-01 18:00:03 > FID score (Step: 18000, Using valid moments): 36.435408010880906
[INFO] 2021-01-01 18:00:03 > Inception score (Step: 18000, 10000 generated images): 11.395118713378906
[INFO] 2021-01-01 18:00:03 > Best FID score (Step: 18000, Using valid moments): 36.435408010880906
[INFO] 2021-01-01 18:00:17 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 18:03:16 > Step: 18100 Progress: 18.1% Elapsed: 9:06:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.20448 Generator_loss: 4.61071
[INFO] 2021-01-01 18:06:15 > Step: 18200 Progress: 18.2% Elapsed: 9:09:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.40029 Generator_loss: 4.3047
[INFO] 2021-01-01 18:09:12 > Step: 18300 Progress: 18.3% Elapsed: 9:12:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.95241 Generator_loss: 4.42314
[INFO] 2021-01-01 18:12:11 > Step: 18400 Progress: 18.4% Elapsed: 9:15:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.98306 Generator_loss: 5.71791
[INFO] 2021-01-01 18:15:10 > Step: 18500 Progress: 18.5% Elapsed: 9:18:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.11418 Generator_loss: 4.86305
[INFO] 2021-01-01 18:18:10 > Step: 18600 Progress: 18.6% Elapsed: 9:21:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.97005 Generator_loss: 5.66852
[INFO] 2021-01-01 18:21:09 > Step: 18700 Progress: 18.7% Elapsed: 9:24:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.32771 Generator_loss: 4.5396
[INFO] 2021-01-01 18:24:09 > Step: 18800 Progress: 18.8% Elapsed: 9:27:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.88916 Generator_loss: 5.52083
[INFO] 2021-01-01 18:27:08 > Step: 18900 Progress: 18.9% Elapsed: 9:30:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.81092 Generator_loss: 4.42772
[INFO] 2021-01-01 18:30:06 > Step: 19000 Progress: 19.0% Elapsed: 9:33:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.8893 Generator_loss: 5.43737
[INFO] 2021-01-01 18:33:06 > Step: 19100 Progress: 19.1% Elapsed: 9:36:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.37321 Generator_loss: 4.2572
[INFO] 2021-01-01 18:36:05 > Step: 19200 Progress: 19.2% Elapsed: 9:39:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.97715 Generator_loss: 4.76413
[INFO] 2021-01-01 18:39:03 > Step: 19300 Progress: 19.3% Elapsed: 9:42:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.07957 Generator_loss: 5.63753
[INFO] 2021-01-01 18:42:03 > Step: 19400 Progress: 19.4% Elapsed: 9:45:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.78519 Generator_loss: 5.22532
[INFO] 2021-01-01 18:45:03 > Step: 19500 Progress: 19.5% Elapsed: 9:48:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.04793 Generator_loss: 5.46548
[INFO] 2021-01-01 18:48:00 > Step: 19600 Progress: 19.6% Elapsed: 9:51:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.90058 Generator_loss: 4.99566
[INFO] 2021-01-01 18:50:58 > Step: 19700 Progress: 19.7% Elapsed: 9:54:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.85275 Generator_loss: 5.33261
[INFO] 2021-01-01 18:53:57 > Step: 19800 Progress: 19.8% Elapsed: 9:57:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.13941 Generator_loss: 4.99627
[INFO] 2021-01-01 18:56:57 > Step: 19900 Progress: 19.9% Elapsed: 10:00:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.85261 Generator_loss: 4.87686
[INFO] 2021-01-01 18:59:55 > Step: 20000 Progress: 20.0% Elapsed: 10:03:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.84467 Generator_loss: 5.62016
[INFO] 2021-01-01 18:59:55 > Start Evaluation (20000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 18:59:55 > Calculating FID Score....
[INFO] 2021-01-01 19:00:11 > Calculating Inception Score....
[INFO] 2021-01-01 19:00:16 > Calculate F_beta Score....
[INFO] 2021-01-01 19:00:39 > Calculate Accuracies....
[INFO] 2021-01-01 19:00:42 > Calculate Accuracies....
[INFO] 2021-01-01 19:00:44 > F_8 score (Step: 20000, Using valid images): 0.7913569451472189
[INFO] 2021-01-01 19:00:44 > F_1/8 score (Step: 20000, Using valid images): 0.9543380858122096
[INFO] 2021-01-01 19:00:44 > FID score (Step: 20000, Using valid moments): 34.51102360897221
[INFO] 2021-01-01 19:00:44 > Inception score (Step: 20000, 10000 generated images): 11.024052619934082
[INFO] 2021-01-01 19:00:44 > Best FID score (Step: 20000, Using valid moments): 34.51102360897221
[INFO] 2021-01-01 19:00:58 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 19:03:56 > Step: 20100 Progress: 20.1% Elapsed: 10:07:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.05967 Generator_loss: 4.82286
[INFO] 2021-01-01 19:06:53 > Step: 20200 Progress: 20.2% Elapsed: 10:10:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.15494 Generator_loss: 4.8128
[INFO] 2021-01-01 19:09:51 > Step: 20300 Progress: 20.3% Elapsed: 10:13:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.11489 Generator_loss: 3.48479
[INFO] 2021-01-01 19:12:49 > Step: 20400 Progress: 20.4% Elapsed: 10:16:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.32086 Generator_loss: 4.44829
[INFO] 2021-01-01 19:15:50 > Step: 20500 Progress: 20.5% Elapsed: 10:19:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.13837 Generator_loss: 4.76535
[INFO] 2021-01-01 19:18:50 > Step: 20600 Progress: 20.6% Elapsed: 10:22:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.9022 Generator_loss: 4.94912
[INFO] 2021-01-01 19:21:50 > Step: 20700 Progress: 20.7% Elapsed: 10:25:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.80128 Generator_loss: 5.23424
[INFO] 2021-01-01 19:24:48 > Step: 20800 Progress: 20.8% Elapsed: 10:28:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.94168 Generator_loss: 4.84961
[INFO] 2021-01-01 19:27:47 > Step: 20900 Progress: 20.9% Elapsed: 10:31:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.85519 Generator_loss: 5.47672
[INFO] 2021-01-01 19:30:46 > Step: 21000 Progress: 21.0% Elapsed: 10:34:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.89162 Generator_loss: 5.59835
[INFO] 2021-01-01 19:33:43 > Step: 21100 Progress: 21.1% Elapsed: 10:37:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.05347 Generator_loss: 5.23917
[INFO] 2021-01-01 19:36:42 > Step: 21200 Progress: 21.2% Elapsed: 10:40:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.88185 Generator_loss: 5.77971
[INFO] 2021-01-01 19:39:43 > Step: 21300 Progress: 21.3% Elapsed: 10:43:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.76998 Generator_loss: 4.93632
[INFO] 2021-01-01 19:42:43 > Step: 21400 Progress: 21.4% Elapsed: 10:46:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.05779 Generator_loss: 5.10018
[INFO] 2021-01-01 19:45:43 > Step: 21500 Progress: 21.5% Elapsed: 10:49:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.80134 Generator_loss: 4.72206
[INFO] 2021-01-01 19:48:44 > Step: 21600 Progress: 21.6% Elapsed: 10:52:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.81424 Generator_loss: 4.73369
[INFO] 2021-01-01 19:51:44 > Step: 21700 Progress: 21.7% Elapsed: 10:55:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.90704 Generator_loss: 5.27109
[INFO] 2021-01-01 19:54:43 > Step: 21800 Progress: 21.8% Elapsed: 10:58:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.25367 Generator_loss: 4.6916
[INFO] 2021-01-01 19:57:43 > Step: 21900 Progress: 21.9% Elapsed: 11:01:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.78837 Generator_loss: 5.54887
[INFO] 2021-01-01 20:00:43 > Step: 22000 Progress: 22.0% Elapsed: 11:04:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.14461 Generator_loss: 4.60928
[INFO] 2021-01-01 20:00:43 > Start Evaluation (22000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 20:00:43 > Calculating FID Score....
[INFO] 2021-01-01 20:01:00 > Calculating Inception Score....
[INFO] 2021-01-01 20:01:05 > Calculate F_beta Score....
[INFO] 2021-01-01 20:01:27 > Calculate Accuracies....
[INFO] 2021-01-01 20:01:31 > Calculate Accuracies....
[INFO] 2021-01-01 20:01:32 > F_8 score (Step: 22000, Using valid images): 0.8109754793603644
[INFO] 2021-01-01 20:01:32 > F_1/8 score (Step: 22000, Using valid images): 0.9623354641955907
[INFO] 2021-01-01 20:01:32 > FID score (Step: 22000, Using valid moments): 32.864715801186435
[INFO] 2021-01-01 20:01:32 > Inception score (Step: 22000, 10000 generated images): 11.774377822875977
[INFO] 2021-01-01 20:01:32 > Best FID score (Step: 22000, Using valid moments): 32.864715801186435
[INFO] 2021-01-01 20:01:46 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 20:04:43 > Step: 22100 Progress: 22.1% Elapsed: 11:08:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.83697 Generator_loss: 4.86067
[INFO] 2021-01-01 20:07:42 > Step: 22200 Progress: 22.2% Elapsed: 11:11:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.8463 Generator_loss: 4.79065
[INFO] 2021-01-01 20:10:40 > Step: 22300 Progress: 22.3% Elapsed: 11:14:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.73927 Generator_loss: 5.58979
[INFO] 2021-01-01 20:13:39 > Step: 22400 Progress: 22.4% Elapsed: 11:17:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.81928 Generator_loss: 5.03398
[INFO] 2021-01-01 20:16:38 > Step: 22500 Progress: 22.5% Elapsed: 11:20:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.83662 Generator_loss: 5.42793
[INFO] 2021-01-01 20:19:36 > Step: 22600 Progress: 22.6% Elapsed: 11:23:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.79047 Generator_loss: 5.04403
[INFO] 2021-01-01 20:22:36 > Step: 22700 Progress: 22.7% Elapsed: 11:26:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.77406 Generator_loss: 5.4756
[INFO] 2021-01-01 20:25:35 > Step: 22800 Progress: 22.8% Elapsed: 11:29:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.86051 Generator_loss: 5.49013
[INFO] 2021-01-01 20:28:30 > Step: 22900 Progress: 22.9% Elapsed: 11:31:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.71502 Generator_loss: 4.93183
[INFO] 2021-01-01 20:31:28 > Step: 23000 Progress: 23.0% Elapsed: 11:34:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.81368 Generator_loss: 5.2822
[INFO] 2021-01-01 20:34:25 > Step: 23100 Progress: 23.1% Elapsed: 11:37:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.65761 Generator_loss: 5.22932
[INFO] 2021-01-01 20:37:24 > Step: 23200 Progress: 23.2% Elapsed: 11:40:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.71632 Generator_loss: 5.74734
[INFO] 2021-01-01 20:40:22 > Step: 23300 Progress: 23.3% Elapsed: 11:43:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.76569 Generator_loss: 4.56005
[INFO] 2021-01-01 20:43:19 > Step: 23400 Progress: 23.4% Elapsed: 11:46:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.70507 Generator_loss: 4.8979
[INFO] 2021-01-01 20:46:20 > Step: 23500 Progress: 23.5% Elapsed: 11:49:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.7112 Generator_loss: 5.23704
[INFO] 2021-01-01 20:49:17 > Step: 23600 Progress: 23.6% Elapsed: 11:52:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.6918 Generator_loss: 5.48656
[INFO] 2021-01-01 20:52:16 > Step: 23700 Progress: 23.7% Elapsed: 11:55:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.9898 Generator_loss: 4.80924
[INFO] 2021-01-01 20:55:15 > Step: 23800 Progress: 23.8% Elapsed: 11:58:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.91115 Generator_loss: 4.91679
[INFO] 2021-01-01 20:58:14 > Step: 23900 Progress: 23.9% Elapsed: 12:01:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.22784 Generator_loss: 4.72668
[INFO] 2021-01-01 21:01:14 > Step: 24000 Progress: 24.0% Elapsed: 12:04:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.95215 Generator_loss: 5.61682
[INFO] 2021-01-01 21:01:14 > Start Evaluation (24000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 21:01:14 > Calculating FID Score....
[INFO] 2021-01-01 21:01:30 > Calculating Inception Score....
[INFO] 2021-01-01 21:01:36 > Calculate F_beta Score....
[INFO] 2021-01-01 21:01:59 > Calculate Accuracies....
[INFO] 2021-01-01 21:02:03 > Calculate Accuracies....
[INFO] 2021-01-01 21:02:04 > F_8 score (Step: 24000, Using valid images): 0.8525205368743898
[INFO] 2021-01-01 21:02:04 > F_1/8 score (Step: 24000, Using valid images): 0.9707805874157402
[INFO] 2021-01-01 21:02:04 > FID score (Step: 24000, Using valid moments): 30.212309169211608
[INFO] 2021-01-01 21:02:04 > Inception score (Step: 24000, 10000 generated images): 12.446711540222168
[INFO] 2021-01-01 21:02:04 > Best FID score (Step: 24000, Using valid moments): 30.212309169211608
[INFO] 2021-01-01 21:02:18 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 21:05:17 > Step: 24100 Progress: 24.1% Elapsed: 12:08:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.85886 Generator_loss: 3.71671
[INFO] 2021-01-01 21:08:16 > Step: 24200 Progress: 24.2% Elapsed: 12:11:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.98862 Generator_loss: 4.99023
[INFO] 2021-01-01 21:11:15 > Step: 24300 Progress: 24.3% Elapsed: 12:14:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.86299 Generator_loss: 3.69249
[INFO] 2021-01-01 21:14:13 > Step: 24400 Progress: 24.4% Elapsed: 12:17:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.63627 Generator_loss: 5.73678
[INFO] 2021-01-01 21:17:11 > Step: 24500 Progress: 24.5% Elapsed: 12:20:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.81832 Generator_loss: 5.12506
[INFO] 2021-01-01 21:20:08 > Step: 24600 Progress: 24.6% Elapsed: 12:23:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.28997 Generator_loss: 4.61069
[INFO] 2021-01-01 21:23:06 > Step: 24700 Progress: 24.7% Elapsed: 12:26:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.38214 Generator_loss: 4.25415
[INFO] 2021-01-01 21:26:04 > Step: 24800 Progress: 24.8% Elapsed: 12:29:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.20042 Generator_loss: 4.64129
[INFO] 2021-01-01 21:29:02 > Step: 24900 Progress: 24.9% Elapsed: 12:32:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.50827 Generator_loss: 4.63684
[INFO] 2021-01-01 21:32:03 > Step: 25000 Progress: 25.0% Elapsed: 12:35:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.44005 Generator_loss: 4.40348
[INFO] 2021-01-01 21:35:00 > Step: 25100 Progress: 25.1% Elapsed: 12:38:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.62667 Generator_loss: 4.05797
[INFO] 2021-01-01 21:37:59 > Step: 25200 Progress: 25.2% Elapsed: 12:41:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.07922 Generator_loss: 5.1061
[INFO] 2021-01-01 21:40:58 > Step: 25300 Progress: 25.3% Elapsed: 12:44:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.59325 Generator_loss: 5.44387
[INFO] 2021-01-01 21:43:56 > Step: 25400 Progress: 25.4% Elapsed: 12:47:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.19411 Generator_loss: 4.64994
[INFO] 2021-01-01 21:46:57 > Step: 25500 Progress: 25.5% Elapsed: 12:50:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.11008 Generator_loss: 4.60952
[INFO] 2021-01-01 21:49:55 > Step: 25600 Progress: 25.6% Elapsed: 12:53:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.81248 Generator_loss: 5.86355
[INFO] 2021-01-01 21:52:55 > Step: 25700 Progress: 25.7% Elapsed: 12:56:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.16724 Generator_loss: 5.38777
[INFO] 2021-01-01 21:55:56 > Step: 25800 Progress: 25.8% Elapsed: 12:59:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.94111 Generator_loss: 4.93718
[INFO] 2021-01-01 21:58:57 > Step: 25900 Progress: 25.9% Elapsed: 13:02:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.72572 Generator_loss: 5.34009
[INFO] 2021-01-01 22:01:55 > Step: 26000 Progress: 26.0% Elapsed: 13:05:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.91207 Generator_loss: 5.07011
[INFO] 2021-01-01 22:01:55 > Start Evaluation (26000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 22:01:55 > Calculating FID Score....
[INFO] 2021-01-01 22:02:11 > Calculating Inception Score....
[INFO] 2021-01-01 22:02:17 > Calculate F_beta Score....
[INFO] 2021-01-01 22:02:38 > Calculate Accuracies....
[INFO] 2021-01-01 22:02:42 > Calculate Accuracies....
[INFO] 2021-01-01 22:02:43 > F_8 score (Step: 26000, Using valid images): 0.8764372271256465
[INFO] 2021-01-01 22:02:43 > F_1/8 score (Step: 26000, Using valid images): 0.9728593959310267
[INFO] 2021-01-01 22:02:43 > FID score (Step: 26000, Using valid moments): 27.754391620107867
[INFO] 2021-01-01 22:02:43 > Inception score (Step: 26000, 10000 generated images): 12.967610359191895
[INFO] 2021-01-01 22:02:43 > Best FID score (Step: 26000, Using valid moments): 27.754391620107867
[INFO] 2021-01-01 22:02:58 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 22:05:56 > Step: 26100 Progress: 26.1% Elapsed: 13:09:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.11031 Generator_loss: 4.93174
[INFO] 2021-01-01 22:08:55 > Step: 26200 Progress: 26.2% Elapsed: 13:12:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.5835 Generator_loss: 5.2243
[INFO] 2021-01-01 22:11:52 > Step: 26300 Progress: 26.3% Elapsed: 13:15:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.68501 Generator_loss: 3.87294
[INFO] 2021-01-01 22:14:50 > Step: 26400 Progress: 26.4% Elapsed: 13:18:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.77658 Generator_loss: 5.31172
[INFO] 2021-01-01 22:17:47 > Step: 26500 Progress: 26.5% Elapsed: 13:21:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.59654 Generator_loss: 5.5265
[INFO] 2021-01-01 22:20:45 > Step: 26600 Progress: 26.6% Elapsed: 13:24:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.75443 Generator_loss: 4.70626
[INFO] 2021-01-01 22:23:43 > Step: 26700 Progress: 26.7% Elapsed: 13:27:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.55763 Generator_loss: 4.12468
[INFO] 2021-01-01 22:26:41 > Step: 26800 Progress: 26.8% Elapsed: 13:30:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.70708 Generator_loss: 4.06044
[INFO] 2021-01-01 22:29:37 > Step: 26900 Progress: 26.9% Elapsed: 13:33:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.58221 Generator_loss: 5.27294
[INFO] 2021-01-01 22:32:35 > Step: 27000 Progress: 27.0% Elapsed: 13:36:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.9008 Generator_loss: 3.7405
[INFO] 2021-01-01 22:35:34 > Step: 27100 Progress: 27.1% Elapsed: 13:39:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.18241 Generator_loss: 4.29863
[INFO] 2021-01-01 22:38:34 > Step: 27200 Progress: 27.2% Elapsed: 13:42:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.15271 Generator_loss: 4.49283
[INFO] 2021-01-01 22:41:32 > Step: 27300 Progress: 27.3% Elapsed: 13:45:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.04618 Generator_loss: 5.16647
[INFO] 2021-01-01 22:44:32 > Step: 27400 Progress: 27.4% Elapsed: 13:48:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.28044 Generator_loss: 4.54634
[INFO] 2021-01-01 22:47:29 > Step: 27500 Progress: 27.5% Elapsed: 13:50:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.62138 Generator_loss: 5.08458
[INFO] 2021-01-01 22:50:29 > Step: 27600 Progress: 27.6% Elapsed: 13:53:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.5718 Generator_loss: 5.17714
[INFO] 2021-01-01 22:53:28 > Step: 27700 Progress: 27.7% Elapsed: 13:56:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.65828 Generator_loss: 4.19623
[INFO] 2021-01-01 22:56:25 > Step: 27800 Progress: 27.8% Elapsed: 13:59:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.82971 Generator_loss: 4.2895
[INFO] 2021-01-01 22:59:24 > Step: 27900 Progress: 27.9% Elapsed: 14:02:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.53846 Generator_loss: 5.5377
[INFO] 2021-01-01 23:02:23 > Step: 28000 Progress: 28.0% Elapsed: 14:05:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.35127 Generator_loss: 3.99705
[INFO] 2021-01-01 23:02:23 > Start Evaluation (28000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 23:02:23 > Calculating FID Score....
[INFO] 2021-01-01 23:02:39 > Calculating Inception Score....
[INFO] 2021-01-01 23:02:45 > Calculate F_beta Score....
[INFO] 2021-01-01 23:03:07 > Calculate Accuracies....
[INFO] 2021-01-01 23:03:10 > Calculate Accuracies....
[INFO] 2021-01-01 23:03:12 > F_8 score (Step: 28000, Using valid images): 0.8832533189110832
[INFO] 2021-01-01 23:03:12 > F_1/8 score (Step: 28000, Using valid images): 0.9742960316449742
[INFO] 2021-01-01 23:03:12 > FID score (Step: 28000, Using valid moments): 26.379026509846938
[INFO] 2021-01-01 23:03:12 > Inception score (Step: 28000, 10000 generated images): 13.341236114501953
[INFO] 2021-01-01 23:03:12 > Best FID score (Step: 28000, Using valid moments): 26.379026509846938
[INFO] 2021-01-01 23:03:26 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-01 23:06:26 > Step: 28100 Progress: 28.1% Elapsed: 14:09:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.74321 Generator_loss: 5.48839
[INFO] 2021-01-01 23:09:24 > Step: 28200 Progress: 28.2% Elapsed: 14:12:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.11485 Generator_loss: 4.70106
[INFO] 2021-01-01 23:12:21 > Step: 28300 Progress: 28.3% Elapsed: 14:15:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.20708 Generator_loss: 4.33055
[INFO] 2021-01-01 23:15:19 > Step: 28400 Progress: 28.4% Elapsed: 14:18:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.9033 Generator_loss: 4.95153
[INFO] 2021-01-01 23:18:21 > Step: 28500 Progress: 28.5% Elapsed: 14:21:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.36137 Generator_loss: 4.36025
[INFO] 2021-01-01 23:21:20 > Step: 28600 Progress: 28.6% Elapsed: 14:24:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.95019 Generator_loss: 3.85037
[INFO] 2021-01-01 23:24:20 > Step: 28700 Progress: 28.7% Elapsed: 14:27:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.17971 Generator_loss: 4.58269
[INFO] 2021-01-01 23:27:20 > Step: 28800 Progress: 28.8% Elapsed: 14:30:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.75519 Generator_loss: 5.71478
[INFO] 2021-01-01 23:30:18 > Step: 28900 Progress: 28.9% Elapsed: 14:33:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.77659 Generator_loss: 5.74937
[INFO] 2021-01-01 23:33:17 > Step: 29000 Progress: 29.0% Elapsed: 14:36:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.88288 Generator_loss: 5.12225
[INFO] 2021-01-01 23:36:15 > Step: 29100 Progress: 29.1% Elapsed: 14:39:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.70268 Generator_loss: 4.21909
[INFO] 2021-01-01 23:39:14 > Step: 29200 Progress: 29.2% Elapsed: 14:42:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.78966 Generator_loss: 4.24458
[INFO] 2021-01-01 23:42:12 > Step: 29300 Progress: 29.3% Elapsed: 14:45:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.78468 Generator_loss: 5.03846
[INFO] 2021-01-01 23:45:13 > Step: 29400 Progress: 29.4% Elapsed: 14:48:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.63375 Generator_loss: 4.93829
[INFO] 2021-01-01 23:48:13 > Step: 29500 Progress: 29.5% Elapsed: 14:51:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.71719 Generator_loss: 3.82563
[INFO] 2021-01-01 23:51:11 > Step: 29600 Progress: 29.6% Elapsed: 14:54:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.70227 Generator_loss: 3.89133
[INFO] 2021-01-01 23:54:12 > Step: 29700 Progress: 29.7% Elapsed: 14:57:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.26048 Generator_loss: 4.09736
[INFO] 2021-01-01 23:57:11 > Step: 29800 Progress: 29.8% Elapsed: 15:00:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.73741 Generator_loss: 4.57893
[INFO] 2021-01-02 00:00:09 > Step: 29900 Progress: 29.9% Elapsed: 15:03:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.83289 Generator_loss: 5.81074
[INFO] 2021-01-02 00:03:07 > Step: 30000 Progress: 30.0% Elapsed: 15:06:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.56546 Generator_loss: 4.14111
[INFO] 2021-01-02 00:03:07 > Start Evaluation (30000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 00:03:07 > Calculating FID Score....
[INFO] 2021-01-02 00:03:22 > Calculating Inception Score....
[INFO] 2021-01-02 00:03:28 > Calculate F_beta Score....
[INFO] 2021-01-02 00:03:51 > Calculate Accuracies....
[INFO] 2021-01-02 00:03:54 > Calculate Accuracies....
[INFO] 2021-01-02 00:03:56 > F_8 score (Step: 30000, Using valid images): 0.8890430766602043
[INFO] 2021-01-02 00:03:56 > F_1/8 score (Step: 30000, Using valid images): 0.973297023987522
[INFO] 2021-01-02 00:03:56 > FID score (Step: 30000, Using valid moments): 25.276928404507885
[INFO] 2021-01-02 00:03:56 > Inception score (Step: 30000, 10000 generated images): 13.615011215209961
[INFO] 2021-01-02 00:03:56 > Best FID score (Step: 30000, Using valid moments): 25.276928404507885
[INFO] 2021-01-02 00:04:10 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 00:07:08 > Step: 30100 Progress: 30.1% Elapsed: 15:10:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.62016 Generator_loss: 4.77679
[INFO] 2021-01-02 00:10:07 > Step: 30200 Progress: 30.2% Elapsed: 15:13:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.93789 Generator_loss: 4.61827
[INFO] 2021-01-02 00:13:07 > Step: 30300 Progress: 30.3% Elapsed: 15:16:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.66819 Generator_loss: 5.73534
[INFO] 2021-01-02 00:16:04 > Step: 30400 Progress: 30.4% Elapsed: 15:19:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.62451 Generator_loss: 4.01421
[INFO] 2021-01-02 00:19:03 > Step: 30500 Progress: 30.5% Elapsed: 15:22:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.50978 Generator_loss: 4.67111
[INFO] 2021-01-02 00:22:00 > Step: 30600 Progress: 30.6% Elapsed: 15:25:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.50096 Generator_loss: 4.52318
[INFO] 2021-01-02 00:25:01 > Step: 30700 Progress: 30.7% Elapsed: 15:28:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.863 Generator_loss: 5.46079
[INFO] 2021-01-02 00:28:00 > Step: 30800 Progress: 30.8% Elapsed: 15:31:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.17494 Generator_loss: 4.41256
[INFO] 2021-01-02 00:30:59 > Step: 30900 Progress: 30.9% Elapsed: 15:34:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.9737 Generator_loss: 5.17929
[INFO] 2021-01-02 00:33:58 > Step: 31000 Progress: 31.0% Elapsed: 15:37:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.4751 Generator_loss: 5.76762
[INFO] 2021-01-02 00:36:56 > Step: 31100 Progress: 31.1% Elapsed: 15:40:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.74848 Generator_loss: 5.23165
[INFO] 2021-01-02 00:39:54 > Step: 31200 Progress: 31.2% Elapsed: 15:43:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.83869 Generator_loss: 3.71643
[INFO] 2021-01-02 00:42:51 > Step: 31300 Progress: 31.3% Elapsed: 15:46:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.75091 Generator_loss: 3.76814
[INFO] 2021-01-02 00:45:49 > Step: 31400 Progress: 31.4% Elapsed: 15:49:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.54465 Generator_loss: 5.50147
[INFO] 2021-01-02 00:48:47 > Step: 31500 Progress: 31.5% Elapsed: 15:52:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.08733 Generator_loss: 3.72761
[INFO] 2021-01-02 00:51:46 > Step: 31600 Progress: 31.6% Elapsed: 15:55:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.57321 Generator_loss: 4.26303
[INFO] 2021-01-02 00:54:45 > Step: 31700 Progress: 31.7% Elapsed: 15:58:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.70116 Generator_loss: 5.62066
[INFO] 2021-01-02 00:57:44 > Step: 31800 Progress: 31.8% Elapsed: 16:01:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.51269 Generator_loss: 5.67087
[INFO] 2021-01-02 01:00:41 > Step: 31900 Progress: 31.9% Elapsed: 16:04:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.26143 Generator_loss: 4.13612
[INFO] 2021-01-02 01:03:38 > Step: 32000 Progress: 32.0% Elapsed: 16:07:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.67565 Generator_loss: 5.80457
[INFO] 2021-01-02 01:03:38 > Start Evaluation (32000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 01:03:38 > Calculating FID Score....
[INFO] 2021-01-02 01:03:55 > Calculating Inception Score....
[INFO] 2021-01-02 01:04:01 > Calculate F_beta Score....
[INFO] 2021-01-02 01:04:22 > Calculate Accuracies....
[INFO] 2021-01-02 01:04:26 > Calculate Accuracies....
[INFO] 2021-01-02 01:04:27 > F_8 score (Step: 32000, Using valid images): 0.8872693842863236
[INFO] 2021-01-02 01:04:27 > F_1/8 score (Step: 32000, Using valid images): 0.9788595255924466
[INFO] 2021-01-02 01:04:27 > FID score (Step: 32000, Using valid moments): 24.616925792254733
[INFO] 2021-01-02 01:04:27 > Inception score (Step: 32000, 10000 generated images): 13.886353492736816
[INFO] 2021-01-02 01:04:27 > Best FID score (Step: 32000, Using valid moments): 24.616925792254733
[INFO] 2021-01-02 01:04:41 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 01:07:38 > Step: 32100 Progress: 32.1% Elapsed: 16:11:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.51551 Generator_loss: 5.55079
[INFO] 2021-01-02 01:10:36 > Step: 32200 Progress: 32.2% Elapsed: 16:14:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.80466 Generator_loss: 3.85298
[INFO] 2021-01-02 01:13:34 > Step: 32300 Progress: 32.3% Elapsed: 16:17:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.69602 Generator_loss: 3.86421
[INFO] 2021-01-02 01:16:33 > Step: 32400 Progress: 32.4% Elapsed: 16:20:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.02763 Generator_loss: 4.72598
[INFO] 2021-01-02 01:19:31 > Step: 32500 Progress: 32.5% Elapsed: 16:22:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.66251 Generator_loss: 5.06897
[INFO] 2021-01-02 01:22:31 > Step: 32600 Progress: 32.6% Elapsed: 16:25:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.81626 Generator_loss: 5.31131
[INFO] 2021-01-02 01:25:28 > Step: 32700 Progress: 32.7% Elapsed: 16:28:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.87612 Generator_loss: 4.34109
[INFO] 2021-01-02 01:28:26 > Step: 32800 Progress: 32.8% Elapsed: 16:31:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.59507 Generator_loss: 3.67005
[INFO] 2021-01-02 01:31:25 > Step: 32900 Progress: 32.9% Elapsed: 16:34:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.49907 Generator_loss: 5.76746
[INFO] 2021-01-02 01:34:23 > Step: 33000 Progress: 33.0% Elapsed: 16:37:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.94075 Generator_loss: 4.97016
[INFO] 2021-01-02 01:37:21 > Step: 33100 Progress: 33.1% Elapsed: 16:40:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.6198 Generator_loss: 4.7089
[INFO] 2021-01-02 01:40:19 > Step: 33200 Progress: 33.2% Elapsed: 16:43:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.54598 Generator_loss: 4.90112
[INFO] 2021-01-02 01:43:16 > Step: 33300 Progress: 33.3% Elapsed: 16:46:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.48681 Generator_loss: 5.79099
[INFO] 2021-01-02 01:46:13 > Step: 33400 Progress: 33.4% Elapsed: 16:49:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.8543 Generator_loss: 3.74874
[INFO] 2021-01-02 01:49:11 > Step: 33500 Progress: 33.5% Elapsed: 16:52:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.81223 Generator_loss: 4.93305
[INFO] 2021-01-02 01:52:10 > Step: 33600 Progress: 33.6% Elapsed: 16:55:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.80347 Generator_loss: 3.68637
[INFO] 2021-01-02 01:55:06 > Step: 33700 Progress: 33.7% Elapsed: 16:58:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.94825 Generator_loss: 5.17269
[INFO] 2021-01-02 01:58:03 > Step: 33800 Progress: 33.8% Elapsed: 17:01:32 temperature: 1.0 ada_p: No Discriminator_loss: 5.5579 Generator_loss: 5.59792
[INFO] 2021-01-02 02:01:02 > Step: 33900 Progress: 33.9% Elapsed: 17:04:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.71665 Generator_loss: 5.14885
[INFO] 2021-01-02 02:04:02 > Step: 34000 Progress: 34.0% Elapsed: 17:07:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.1223 Generator_loss: 4.46446
[INFO] 2021-01-02 02:04:02 > Start Evaluation (34000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 02:04:02 > Calculating FID Score....
[INFO] 2021-01-02 02:04:17 > Calculating Inception Score....
[INFO] 2021-01-02 02:04:23 > Calculate F_beta Score....
[INFO] 2021-01-02 02:04:44 > Calculate Accuracies....
[INFO] 2021-01-02 02:04:48 > Calculate Accuracies....
[INFO] 2021-01-02 02:04:49 > F_8 score (Step: 34000, Using valid images): 0.9114169302938633
[INFO] 2021-01-02 02:04:49 > F_1/8 score (Step: 34000, Using valid images): 0.9797396658851726
[INFO] 2021-01-02 02:04:49 > FID score (Step: 34000, Using valid moments): 23.894091611129056
[INFO] 2021-01-02 02:04:49 > Inception score (Step: 34000, 10000 generated images): 14.405787467956543
[INFO] 2021-01-02 02:04:49 > Best FID score (Step: 34000, Using valid moments): 23.894091611129056
[INFO] 2021-01-02 02:05:03 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 02:08:02 > Step: 34100 Progress: 34.1% Elapsed: 17:11:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.74536 Generator_loss: 4.94849
[INFO] 2021-01-02 02:11:02 > Step: 34200 Progress: 34.2% Elapsed: 17:14:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.77613 Generator_loss: 3.66531
[INFO] 2021-01-02 02:14:00 > Step: 34300 Progress: 34.3% Elapsed: 17:17:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.21035 Generator_loss: 4.35315
[INFO] 2021-01-02 02:16:58 > Step: 34400 Progress: 34.4% Elapsed: 17:20:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.70658 Generator_loss: 4.71243
[INFO] 2021-01-02 02:20:00 > Step: 34500 Progress: 34.5% Elapsed: 17:23:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.49319 Generator_loss: 4.87981
[INFO] 2021-01-02 02:22:57 > Step: 34600 Progress: 34.6% Elapsed: 17:26:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.48956 Generator_loss: 4.86486
[INFO] 2021-01-02 02:25:55 > Step: 34700 Progress: 34.7% Elapsed: 17:29:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.65241 Generator_loss: 3.85685
[INFO] 2021-01-02 02:28:52 > Step: 34800 Progress: 34.8% Elapsed: 17:32:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.94659 Generator_loss: 5.26516
[INFO] 2021-01-02 02:31:51 > Step: 34900 Progress: 34.9% Elapsed: 17:35:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.93883 Generator_loss: 4.90742
[INFO] 2021-01-02 02:34:49 > Step: 35000 Progress: 35.0% Elapsed: 17:38:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.88691 Generator_loss: 5.51513
[INFO] 2021-01-02 02:37:48 > Step: 35100 Progress: 35.1% Elapsed: 17:41:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.5806 Generator_loss: 3.8338
[INFO] 2021-01-02 02:40:45 > Step: 35200 Progress: 35.2% Elapsed: 17:44:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.46553 Generator_loss: 5.11495
[INFO] 2021-01-02 02:43:44 > Step: 35300 Progress: 35.3% Elapsed: 17:47:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.7489 Generator_loss: 4.8711
[INFO] 2021-01-02 02:46:43 > Step: 35400 Progress: 35.4% Elapsed: 17:50:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.15701 Generator_loss: 4.30017
[INFO] 2021-01-02 02:49:42 > Step: 35500 Progress: 35.5% Elapsed: 17:53:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.82204 Generator_loss: 5.55611
[INFO] 2021-01-02 02:52:42 > Step: 35600 Progress: 35.6% Elapsed: 17:56:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.50771 Generator_loss: 5.77904
[INFO] 2021-01-02 02:55:39 > Step: 35700 Progress: 35.7% Elapsed: 17:59:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.55594 Generator_loss: 4.88568
[INFO] 2021-01-02 02:58:38 > Step: 35800 Progress: 35.8% Elapsed: 18:02:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.68783 Generator_loss: 5.67949
[INFO] 2021-01-02 03:01:36 > Step: 35900 Progress: 35.9% Elapsed: 18:05:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.53896 Generator_loss: 5.99884
[INFO] 2021-01-02 03:04:34 > Step: 36000 Progress: 36.0% Elapsed: 18:08:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.13263 Generator_loss: 4.62759
[INFO] 2021-01-02 03:04:34 > Start Evaluation (36000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 03:04:34 > Calculating FID Score....
[INFO] 2021-01-02 03:04:50 > Calculating Inception Score....
[INFO] 2021-01-02 03:04:56 > Calculate F_beta Score....
[INFO] 2021-01-02 03:05:17 > Calculate Accuracies....
[INFO] 2021-01-02 03:05:21 > Calculate Accuracies....
[INFO] 2021-01-02 03:05:22 > F_8 score (Step: 36000, Using valid images): 0.9157773702457243
[INFO] 2021-01-02 03:05:22 > F_1/8 score (Step: 36000, Using valid images): 0.9795078338329994
[INFO] 2021-01-02 03:05:22 > FID score (Step: 36000, Using valid moments): 23.200824013438876
[INFO] 2021-01-02 03:05:22 > Inception score (Step: 36000, 10000 generated images): 14.19831657409668
[INFO] 2021-01-02 03:05:22 > Best FID score (Step: 36000, Using valid moments): 23.200824013438876
[INFO] 2021-01-02 03:05:36 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 03:08:34 > Step: 36100 Progress: 36.1% Elapsed: 18:12:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.60888 Generator_loss: 4.82832
[INFO] 2021-01-02 03:11:33 > Step: 36200 Progress: 36.2% Elapsed: 18:15:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.54621 Generator_loss: 3.74823
[INFO] 2021-01-02 03:14:31 > Step: 36300 Progress: 36.3% Elapsed: 18:17:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.95227 Generator_loss: 5.08154
[INFO] 2021-01-02 03:17:29 > Step: 36400 Progress: 36.4% Elapsed: 18:20:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.39119 Generator_loss: 5.03409
[INFO] 2021-01-02 03:20:26 > Step: 36500 Progress: 36.5% Elapsed: 18:23:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.49223 Generator_loss: 5.5256
[INFO] 2021-01-02 03:23:27 > Step: 36600 Progress: 36.6% Elapsed: 18:26:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.27536 Generator_loss: 3.99938
[INFO] 2021-01-02 03:26:25 > Step: 36700 Progress: 36.7% Elapsed: 18:29:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.64496 Generator_loss: 5.64989
[INFO] 2021-01-02 03:29:23 > Step: 36800 Progress: 36.8% Elapsed: 18:32:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.22271 Generator_loss: 4.28339
[INFO] 2021-01-02 03:32:20 > Step: 36900 Progress: 36.9% Elapsed: 18:35:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.67818 Generator_loss: 4.89709
[INFO] 2021-01-02 03:35:17 > Step: 37000 Progress: 37.0% Elapsed: 18:38:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.75784 Generator_loss: 5.31256
[INFO] 2021-01-02 03:38:16 > Step: 37100 Progress: 37.1% Elapsed: 18:41:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.54002 Generator_loss: 4.22627
[INFO] 2021-01-02 03:41:14 > Step: 37200 Progress: 37.2% Elapsed: 18:44:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.95446 Generator_loss: 3.77321
[INFO] 2021-01-02 03:44:13 > Step: 37300 Progress: 37.3% Elapsed: 18:47:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.75202 Generator_loss: 3.68534
[INFO] 2021-01-02 03:47:11 > Step: 37400 Progress: 37.4% Elapsed: 18:50:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.62115 Generator_loss: 4.31887
[INFO] 2021-01-02 03:50:09 > Step: 37500 Progress: 37.5% Elapsed: 18:53:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.18204 Generator_loss: 4.29159
[INFO] 2021-01-02 03:53:06 > Step: 37600 Progress: 37.6% Elapsed: 18:56:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.63488 Generator_loss: 3.73979
[INFO] 2021-01-02 03:56:04 > Step: 37700 Progress: 37.7% Elapsed: 18:59:32 temperature: 1.0 ada_p: No Discriminator_loss: 5.65022 Generator_loss: 4.46797
[INFO] 2021-01-02 03:59:03 > Step: 37800 Progress: 37.8% Elapsed: 19:02:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.5042 Generator_loss: 4.2086
[INFO] 2021-01-02 04:02:02 > Step: 37900 Progress: 37.9% Elapsed: 19:05:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.72844 Generator_loss: 4.06387
[INFO] 2021-01-02 04:05:01 > Step: 38000 Progress: 38.0% Elapsed: 19:08:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.48126 Generator_loss: 4.48009
[INFO] 2021-01-02 04:05:01 > Start Evaluation (38000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 04:05:01 > Calculating FID Score....
[INFO] 2021-01-02 04:05:17 > Calculating Inception Score....
[INFO] 2021-01-02 04:05:22 > Calculate F_beta Score....
[INFO] 2021-01-02 04:05:44 > Calculate Accuracies....
[INFO] 2021-01-02 04:05:47 > Calculate Accuracies....
[INFO] 2021-01-02 04:05:49 > F_8 score (Step: 38000, Using valid images): 0.9179591111005644
[INFO] 2021-01-02 04:05:49 > F_1/8 score (Step: 38000, Using valid images): 0.9797467637526847
[INFO] 2021-01-02 04:05:49 > FID score (Step: 38000, Using valid moments): 22.49143718614266
[INFO] 2021-01-02 04:05:49 > Inception score (Step: 38000, 10000 generated images): 14.747445106506348
[INFO] 2021-01-02 04:05:49 > Best FID score (Step: 38000, Using valid moments): 22.49143718614266
[INFO] 2021-01-02 04:06:02 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 04:09:00 > Step: 38100 Progress: 38.1% Elapsed: 19:12:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.5781 Generator_loss: 3.75307
[INFO] 2021-01-02 04:11:58 > Step: 38200 Progress: 38.2% Elapsed: 19:15:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.55558 Generator_loss: 4.95081
[INFO] 2021-01-02 04:14:55 > Step: 38300 Progress: 38.3% Elapsed: 19:18:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.55583 Generator_loss: 5.08517
[INFO] 2021-01-02 04:17:53 > Step: 38400 Progress: 38.4% Elapsed: 19:21:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.87725 Generator_loss: 3.79728
[INFO] 2021-01-02 04:20:51 > Step: 38500 Progress: 38.5% Elapsed: 19:24:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.48515 Generator_loss: 5.51685
[INFO] 2021-01-02 04:23:50 > Step: 38600 Progress: 38.6% Elapsed: 19:27:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.61872 Generator_loss: 3.89862
[INFO] 2021-01-02 04:26:50 > Step: 38700 Progress: 38.7% Elapsed: 19:30:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.65173 Generator_loss: 5.90808
[INFO] 2021-01-02 04:29:48 > Step: 38800 Progress: 38.8% Elapsed: 19:33:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.74071 Generator_loss: 5.63337
[INFO] 2021-01-02 04:32:48 > Step: 38900 Progress: 38.9% Elapsed: 19:36:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.13576 Generator_loss: 4.52654
[INFO] 2021-01-02 04:35:47 > Step: 39000 Progress: 39.0% Elapsed: 19:39:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.58187 Generator_loss: 4.61027
[INFO] 2021-01-02 04:38:46 > Step: 39100 Progress: 39.1% Elapsed: 19:42:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.58709 Generator_loss: 5.39632
[INFO] 2021-01-02 04:41:44 > Step: 39200 Progress: 39.2% Elapsed: 19:45:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.69365 Generator_loss: 4.99902
[INFO] 2021-01-02 04:44:43 > Step: 39300 Progress: 39.3% Elapsed: 19:48:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.63599 Generator_loss: 4.70327
[INFO] 2021-01-02 04:47:41 > Step: 39400 Progress: 39.4% Elapsed: 19:51:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.62336 Generator_loss: 4.71679
[INFO] 2021-01-02 04:50:39 > Step: 39500 Progress: 39.5% Elapsed: 19:54:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.09469 Generator_loss: 4.57407
[INFO] 2021-01-02 04:53:38 > Step: 39600 Progress: 39.6% Elapsed: 19:57:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.77447 Generator_loss: 4.88812
[INFO] 2021-01-02 04:56:36 > Step: 39700 Progress: 39.7% Elapsed: 20:00:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.6262 Generator_loss: 4.7505
[INFO] 2021-01-02 04:59:33 > Step: 39800 Progress: 39.8% Elapsed: 20:03:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.51265 Generator_loss: 5.78942
[INFO] 2021-01-02 05:02:31 > Step: 39900 Progress: 39.9% Elapsed: 20:05:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.49519 Generator_loss: 4.72107
[INFO] 2021-01-02 05:05:30 > Step: 40000 Progress: 40.0% Elapsed: 20:08:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.20983 Generator_loss: 4.13812
[INFO] 2021-01-02 05:05:30 > Start Evaluation (40000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 05:05:30 > Calculating FID Score....
[INFO] 2021-01-02 05:05:46 > Calculating Inception Score....
[INFO] 2021-01-02 05:05:51 > Calculate F_beta Score....
[INFO] 2021-01-02 05:06:13 > Calculate Accuracies....
[INFO] 2021-01-02 05:06:17 > Calculate Accuracies....
[INFO] 2021-01-02 05:06:19 > F_8 score (Step: 40000, Using valid images): 0.9188191775713052
[INFO] 2021-01-02 05:06:19 > F_1/8 score (Step: 40000, Using valid images): 0.9772200513671424
[INFO] 2021-01-02 05:06:19 > FID score (Step: 40000, Using valid moments): 21.968941216849146
[INFO] 2021-01-02 05:06:19 > Inception score (Step: 40000, 10000 generated images): 14.536439895629883
[INFO] 2021-01-02 05:06:19 > Best FID score (Step: 40000, Using valid moments): 21.968941216849146
[INFO] 2021-01-02 05:06:33 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 05:09:30 > Step: 40100 Progress: 40.1% Elapsed: 20:12:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.73895 Generator_loss: 3.70822
[INFO] 2021-01-02 05:12:31 > Step: 40200 Progress: 40.2% Elapsed: 20:15:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.54385 Generator_loss: 4.98616
[INFO] 2021-01-02 05:15:29 > Step: 40300 Progress: 40.3% Elapsed: 20:18:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.89968 Generator_loss: 5.44836
[INFO] 2021-01-02 05:18:27 > Step: 40400 Progress: 40.4% Elapsed: 20:21:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.1849 Generator_loss: 4.21709
[INFO] 2021-01-02 05:21:24 > Step: 40500 Progress: 40.5% Elapsed: 20:24:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.99091 Generator_loss: 4.92594
[INFO] 2021-01-02 05:24:21 > Step: 40600 Progress: 40.6% Elapsed: 20:27:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.6738 Generator_loss: 4.93008
[INFO] 2021-01-02 05:27:21 > Step: 40700 Progress: 40.7% Elapsed: 20:30:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.75579 Generator_loss: 5.02193
[INFO] 2021-01-02 05:30:19 > Step: 40800 Progress: 40.8% Elapsed: 20:33:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.6286 Generator_loss: 6.01029
[INFO] 2021-01-02 05:33:19 > Step: 40900 Progress: 40.9% Elapsed: 20:36:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.42975 Generator_loss: 4.75738
[INFO] 2021-01-02 05:36:18 > Step: 41000 Progress: 41.0% Elapsed: 20:39:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.73278 Generator_loss: 3.89712
[INFO] 2021-01-02 05:39:15 > Step: 41100 Progress: 41.1% Elapsed: 20:42:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.61154 Generator_loss: 4.96433
[INFO] 2021-01-02 05:42:15 > Step: 41200 Progress: 41.2% Elapsed: 20:45:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.71574 Generator_loss: 5.13243
[INFO] 2021-01-02 05:45:15 > Step: 41300 Progress: 41.3% Elapsed: 20:48:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.78955 Generator_loss: 5.41041
[INFO] 2021-01-02 05:48:13 > Step: 41400 Progress: 41.4% Elapsed: 20:51:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.36759 Generator_loss: 5.49881
[INFO] 2021-01-02 05:51:11 > Step: 41500 Progress: 41.5% Elapsed: 20:54:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.58454 Generator_loss: 5.83159
[INFO] 2021-01-02 05:54:10 > Step: 41600 Progress: 41.6% Elapsed: 20:57:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.66132 Generator_loss: 4.85784
[INFO] 2021-01-02 05:57:08 > Step: 41700 Progress: 41.7% Elapsed: 21:00:36 temperature: 1.0 ada_p: No Discriminator_loss: 5.47667 Generator_loss: 4.88439
[INFO] 2021-01-02 06:00:05 > Step: 41800 Progress: 41.8% Elapsed: 21:03:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.93108 Generator_loss: 3.73585
[INFO] 2021-01-02 06:03:03 > Step: 41900 Progress: 41.9% Elapsed: 21:06:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.37299 Generator_loss: 4.85626
[INFO] 2021-01-02 06:06:00 > Step: 42000 Progress: 42.0% Elapsed: 21:09:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.50525 Generator_loss: 5.3518
[INFO] 2021-01-02 06:06:00 > Start Evaluation (42000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 06:06:00 > Calculating FID Score....
[INFO] 2021-01-02 06:06:16 > Calculating Inception Score....
[INFO] 2021-01-02 06:06:22 > Calculate F_beta Score....
[INFO] 2021-01-02 06:06:44 > Calculate Accuracies....
[INFO] 2021-01-02 06:06:47 > Calculate Accuracies....
[INFO] 2021-01-02 06:06:49 > F_8 score (Step: 42000, Using valid images): 0.9144101473697527
[INFO] 2021-01-02 06:06:49 > F_1/8 score (Step: 42000, Using valid images): 0.9825350043115011
[INFO] 2021-01-02 06:06:49 > FID score (Step: 42000, Using valid moments): 22.01355175314501
[INFO] 2021-01-02 06:06:49 > Inception score (Step: 42000, 10000 generated images): 14.880176544189453
[INFO] 2021-01-02 06:06:49 > Best FID score (Step: 40000, Using valid moments): 21.968941216849146
[INFO] 2021-01-02 06:06:56 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 06:09:55 > Step: 42100 Progress: 42.1% Elapsed: 21:13:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.43792 Generator_loss: 5.90964
[INFO] 2021-01-02 06:12:56 > Step: 42200 Progress: 42.2% Elapsed: 21:16:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.83918 Generator_loss: 3.6093
[INFO] 2021-01-02 06:15:55 > Step: 42300 Progress: 42.3% Elapsed: 21:19:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.57658 Generator_loss: 5.1676
[INFO] 2021-01-02 06:18:54 > Step: 42400 Progress: 42.4% Elapsed: 21:22:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.57852 Generator_loss: 4.16038
[INFO] 2021-01-02 06:21:52 > Step: 42500 Progress: 42.5% Elapsed: 21:25:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.61446 Generator_loss: 5.06465
[INFO] 2021-01-02 06:24:50 > Step: 42600 Progress: 42.6% Elapsed: 21:28:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.71022 Generator_loss: 5.12733
[INFO] 2021-01-02 06:27:48 > Step: 42700 Progress: 42.7% Elapsed: 21:31:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.34021 Generator_loss: 5.09916
[INFO] 2021-01-02 06:30:47 > Step: 42800 Progress: 42.8% Elapsed: 21:34:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.46971 Generator_loss: 5.68386
[INFO] 2021-01-02 06:33:43 > Step: 42900 Progress: 42.9% Elapsed: 21:37:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.87083 Generator_loss: 4.98966
[INFO] 2021-01-02 06:36:41 > Step: 43000 Progress: 43.0% Elapsed: 21:40:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.45572 Generator_loss: 4.66093
[INFO] 2021-01-02 06:39:40 > Step: 43100 Progress: 43.1% Elapsed: 21:43:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.65629 Generator_loss: 4.97423
[INFO] 2021-01-02 06:42:40 > Step: 43200 Progress: 43.2% Elapsed: 21:46:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.95584 Generator_loss: 5.15979
[INFO] 2021-01-02 06:45:39 > Step: 43300 Progress: 43.3% Elapsed: 21:49:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.63724 Generator_loss: 4.49324
[INFO] 2021-01-02 06:48:38 > Step: 43400 Progress: 43.4% Elapsed: 21:52:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.70177 Generator_loss: 3.7112
[INFO] 2021-01-02 06:51:38 > Step: 43500 Progress: 43.5% Elapsed: 21:55:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.40497 Generator_loss: 5.12448
[INFO] 2021-01-02 06:54:37 > Step: 43600 Progress: 43.6% Elapsed: 21:58:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.28499 Generator_loss: 4.15631
[INFO] 2021-01-02 06:57:38 > Step: 43700 Progress: 43.7% Elapsed: 22:01:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.60979 Generator_loss: 5.02341
[INFO] 2021-01-02 07:00:38 > Step: 43800 Progress: 43.8% Elapsed: 22:04:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.04959 Generator_loss: 4.80694
[INFO] 2021-01-02 07:03:37 > Step: 43900 Progress: 43.9% Elapsed: 22:07:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.61375 Generator_loss: 5.75582
[INFO] 2021-01-02 07:06:37 > Step: 44000 Progress: 44.0% Elapsed: 22:10:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.41099 Generator_loss: 5.34737
[INFO] 2021-01-02 07:06:37 > Start Evaluation (44000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 07:06:37 > Calculating FID Score....
[INFO] 2021-01-02 07:06:53 > Calculating Inception Score....
[INFO] 2021-01-02 07:06:59 > Calculate F_beta Score....
[INFO] 2021-01-02 07:07:21 > Calculate Accuracies....
[INFO] 2021-01-02 07:07:24 > Calculate Accuracies....
[INFO] 2021-01-02 07:07:26 > F_8 score (Step: 44000, Using valid images): 0.9111503030489183
[INFO] 2021-01-02 07:07:26 > F_1/8 score (Step: 44000, Using valid images): 0.9815289448412197
[INFO] 2021-01-02 07:07:26 > FID score (Step: 44000, Using valid moments): 21.66760312262346
[INFO] 2021-01-02 07:07:26 > Inception score (Step: 44000, 10000 generated images): 15.308633804321289
[INFO] 2021-01-02 07:07:26 > Best FID score (Step: 44000, Using valid moments): 21.66760312262346
[INFO] 2021-01-02 07:07:40 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 07:10:38 > Step: 44100 Progress: 44.1% Elapsed: 22:14:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.60945 Generator_loss: 5.02982
[INFO] 2021-01-02 07:13:38 > Step: 44200 Progress: 44.2% Elapsed: 22:17:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.77292 Generator_loss: 4.28124
[INFO] 2021-01-02 07:16:37 > Step: 44300 Progress: 44.3% Elapsed: 22:20:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.15014 Generator_loss: 4.27993
[INFO] 2021-01-02 07:19:35 > Step: 44400 Progress: 44.4% Elapsed: 22:23:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.63903 Generator_loss: 4.10709
[INFO] 2021-01-02 07:22:34 > Step: 44500 Progress: 44.5% Elapsed: 22:26:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.69128 Generator_loss: 5.17535
[INFO] 2021-01-02 07:25:32 > Step: 44600 Progress: 44.6% Elapsed: 22:29:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.3581 Generator_loss: 5.45385
[INFO] 2021-01-02 07:28:30 > Step: 44700 Progress: 44.7% Elapsed: 22:31:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.01445 Generator_loss: 4.80524
[INFO] 2021-01-02 07:31:32 > Step: 44800 Progress: 44.8% Elapsed: 22:35:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.87489 Generator_loss: 5.33834
[INFO] 2021-01-02 07:34:32 > Step: 44900 Progress: 44.9% Elapsed: 22:38:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.43388 Generator_loss: 5.72896
[INFO] 2021-01-02 07:37:30 > Step: 45000 Progress: 45.0% Elapsed: 22:40:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.44899 Generator_loss: 4.02708
[INFO] 2021-01-02 07:40:30 > Step: 45100 Progress: 45.1% Elapsed: 22:43:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.07765 Generator_loss: 4.64651
[INFO] 2021-01-02 07:43:29 > Step: 45200 Progress: 45.2% Elapsed: 22:46:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.4616 Generator_loss: 4.56041
[INFO] 2021-01-02 07:46:30 > Step: 45300 Progress: 45.3% Elapsed: 22:49:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.54372 Generator_loss: 4.35134
[INFO] 2021-01-02 07:49:29 > Step: 45400 Progress: 45.4% Elapsed: 22:52:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.58398 Generator_loss: 3.82756
[INFO] 2021-01-02 07:52:27 > Step: 45500 Progress: 45.5% Elapsed: 22:55:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.6263 Generator_loss: 5.87421
[INFO] 2021-01-02 07:55:27 > Step: 45600 Progress: 45.6% Elapsed: 22:58:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.59042 Generator_loss: 5.27414
[INFO] 2021-01-02 07:58:27 > Step: 45700 Progress: 45.7% Elapsed: 23:01:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.72874 Generator_loss: 3.78515
[INFO] 2021-01-02 08:01:27 > Step: 45800 Progress: 45.8% Elapsed: 23:04:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.02617 Generator_loss: 4.66773
[INFO] 2021-01-02 08:04:25 > Step: 45900 Progress: 45.9% Elapsed: 23:07:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.5342 Generator_loss: 5.09702
[INFO] 2021-01-02 08:07:24 > Step: 46000 Progress: 46.0% Elapsed: 23:10:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.40821 Generator_loss: 5.83027
[INFO] 2021-01-02 08:07:24 > Start Evaluation (46000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 08:07:24 > Calculating FID Score....
[INFO] 2021-01-02 08:07:40 > Calculating Inception Score....
[INFO] 2021-01-02 08:07:46 > Calculate F_beta Score....
[INFO] 2021-01-02 08:08:07 > Calculate Accuracies....
[INFO] 2021-01-02 08:08:11 > Calculate Accuracies....
[INFO] 2021-01-02 08:08:13 > F_8 score (Step: 46000, Using valid images): 0.9246930181832059
[INFO] 2021-01-02 08:08:13 > F_1/8 score (Step: 46000, Using valid images): 0.9802056396634823
[INFO] 2021-01-02 08:08:13 > FID score (Step: 46000, Using valid moments): 21.544664799814484
[INFO] 2021-01-02 08:08:13 > Inception score (Step: 46000, 10000 generated images): 15.03650188446045
[INFO] 2021-01-02 08:08:13 > Best FID score (Step: 46000, Using valid moments): 21.544664799814484
[INFO] 2021-01-02 08:08:27 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 08:11:24 > Step: 46100 Progress: 46.1% Elapsed: 23:14:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.71416 Generator_loss: 5.57875
[INFO] 2021-01-02 08:14:24 > Step: 46200 Progress: 46.2% Elapsed: 23:17:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.4972 Generator_loss: 5.66654
[INFO] 2021-01-02 08:17:23 > Step: 46300 Progress: 46.3% Elapsed: 23:20:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.52043 Generator_loss: 5.99627
[INFO] 2021-01-02 08:20:21 > Step: 46400 Progress: 46.4% Elapsed: 23:23:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.33331 Generator_loss: 5.86442
[INFO] 2021-01-02 08:23:21 > Step: 46500 Progress: 46.5% Elapsed: 23:26:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.34591 Generator_loss: 5.2491
[INFO] 2021-01-02 08:26:20 > Step: 46600 Progress: 46.6% Elapsed: 23:29:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.5938 Generator_loss: 5.08626
[INFO] 2021-01-02 08:29:19 > Step: 46700 Progress: 46.7% Elapsed: 23:32:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.34009 Generator_loss: 4.10973
[INFO] 2021-01-02 08:32:17 > Step: 46800 Progress: 46.8% Elapsed: 23:35:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.73003 Generator_loss: 3.73357
[INFO] 2021-01-02 08:35:16 > Step: 46900 Progress: 46.9% Elapsed: 23:38:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.44185 Generator_loss: 5.55501
[INFO] 2021-01-02 08:38:16 > Step: 47000 Progress: 47.0% Elapsed: 23:41:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.6468 Generator_loss: 4.99984
[INFO] 2021-01-02 08:41:14 > Step: 47100 Progress: 47.1% Elapsed: 23:44:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.49064 Generator_loss: 3.67187
[INFO] 2021-01-02 08:44:12 > Step: 47200 Progress: 47.2% Elapsed: 23:47:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.58273 Generator_loss: 5.79528
[INFO] 2021-01-02 08:47:14 > Step: 47300 Progress: 47.3% Elapsed: 23:50:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.99654 Generator_loss: 4.62338
[INFO] 2021-01-02 08:50:14 > Step: 47400 Progress: 47.4% Elapsed: 23:53:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.41606 Generator_loss: 5.97085
[INFO] 2021-01-02 08:53:11 > Step: 47500 Progress: 47.5% Elapsed: 23:56:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.40325 Generator_loss: 5.77891
[INFO] 2021-01-02 08:56:11 > Step: 47600 Progress: 47.6% Elapsed: 23:59:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.90791 Generator_loss: 5.32455
[INFO] 2021-01-02 08:59:12 > Step: 47700 Progress: 47.7% Elapsed: 1 day, 0:02:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.63167 Generator_loss: 3.63628
[INFO] 2021-01-02 09:02:10 > Step: 47800 Progress: 47.8% Elapsed: 1 day, 0:05:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.74928 Generator_loss: 4.99875
[INFO] 2021-01-02 09:05:08 > Step: 47900 Progress: 47.9% Elapsed: 1 day, 0:08:36 temperature: 1.0 ada_p: No Discriminator_loss: 5.60019 Generator_loss: 3.74997
[INFO] 2021-01-02 09:08:06 > Step: 48000 Progress: 48.0% Elapsed: 1 day, 0:11:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.53925 Generator_loss: 3.73084
[INFO] 2021-01-02 09:08:06 > Start Evaluation (48000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 09:08:06 > Calculating FID Score....
[INFO] 2021-01-02 09:08:22 > Calculating Inception Score....
[INFO] 2021-01-02 09:08:28 > Calculate F_beta Score....
[INFO] 2021-01-02 09:08:50 > Calculate Accuracies....
[INFO] 2021-01-02 09:08:54 > Calculate Accuracies....
[INFO] 2021-01-02 09:08:55 > F_8 score (Step: 48000, Using valid images): 0.9193129397888127
[INFO] 2021-01-02 09:08:55 > F_1/8 score (Step: 48000, Using valid images): 0.9786187704912847
[INFO] 2021-01-02 09:08:55 > FID score (Step: 48000, Using valid moments): 21.168266046097756
[INFO] 2021-01-02 09:08:55 > Inception score (Step: 48000, 10000 generated images): 14.709643363952637
[INFO] 2021-01-02 09:08:55 > Best FID score (Step: 48000, Using valid moments): 21.168266046097756
[INFO] 2021-01-02 09:09:09 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 09:12:10 > Step: 48100 Progress: 48.1% Elapsed: 1 day, 0:15:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.7628 Generator_loss: 5.26057
[INFO] 2021-01-02 09:15:07 > Step: 48200 Progress: 48.2% Elapsed: 1 day, 0:18:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.98526 Generator_loss: 4.97982
[INFO] 2021-01-02 09:18:05 > Step: 48300 Progress: 48.3% Elapsed: 1 day, 0:21:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.34063 Generator_loss: 5.12608
[INFO] 2021-01-02 09:21:03 > Step: 48400 Progress: 48.4% Elapsed: 1 day, 0:24:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.58722 Generator_loss: 4.25245
[INFO] 2021-01-02 09:24:03 > Step: 48500 Progress: 48.5% Elapsed: 1 day, 0:27:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.54173 Generator_loss: 5.79885
[INFO] 2021-01-02 09:27:02 > Step: 48600 Progress: 48.6% Elapsed: 1 day, 0:30:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.49986 Generator_loss: 5.20418
[INFO] 2021-01-02 09:30:00 > Step: 48700 Progress: 48.7% Elapsed: 1 day, 0:33:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.91025 Generator_loss: 5.1269
[INFO] 2021-01-02 09:33:00 > Step: 48800 Progress: 48.8% Elapsed: 1 day, 0:36:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.48577 Generator_loss: 4.59853
[INFO] 2021-01-02 09:35:58 > Step: 48900 Progress: 48.9% Elapsed: 1 day, 0:39:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.8767 Generator_loss: 5.03039
[INFO] 2021-01-02 09:38:56 > Step: 49000 Progress: 49.0% Elapsed: 1 day, 0:42:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.54492 Generator_loss: 5.80904
[INFO] 2021-01-02 09:41:54 > Step: 49100 Progress: 49.1% Elapsed: 1 day, 0:45:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.679 Generator_loss: 3.73161
[INFO] 2021-01-02 09:44:54 > Step: 49200 Progress: 49.2% Elapsed: 1 day, 0:48:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.03793 Generator_loss: 4.78343
[INFO] 2021-01-02 09:47:54 > Step: 49300 Progress: 49.3% Elapsed: 1 day, 0:51:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.35831 Generator_loss: 4.60348
[INFO] 2021-01-02 09:50:52 > Step: 49400 Progress: 49.4% Elapsed: 1 day, 0:54:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.70232 Generator_loss: 5.31986
[INFO] 2021-01-02 09:53:52 > Step: 49500 Progress: 49.5% Elapsed: 1 day, 0:57:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.54425 Generator_loss: 5.0756
[INFO] 2021-01-02 09:56:51 > Step: 49600 Progress: 49.6% Elapsed: 1 day, 1:00:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.60854 Generator_loss: 4.2863
[INFO] 2021-01-02 09:59:47 > Step: 49700 Progress: 49.7% Elapsed: 1 day, 1:03:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.6273 Generator_loss: 3.688
[INFO] 2021-01-02 10:02:44 > Step: 49800 Progress: 49.8% Elapsed: 1 day, 1:06:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.60263 Generator_loss: 3.781
[INFO] 2021-01-02 10:05:45 > Step: 49900 Progress: 49.9% Elapsed: 1 day, 1:09:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.49271 Generator_loss: 3.78724
[INFO] 2021-01-02 10:08:42 > Step: 50000 Progress: 50.0% Elapsed: 1 day, 1:12:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.85603 Generator_loss: 5.4482
[INFO] 2021-01-02 10:08:42 > Start Evaluation (50000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 10:08:42 > Calculating FID Score....
[INFO] 2021-01-02 10:08:59 > Calculating Inception Score....
[INFO] 2021-01-02 10:09:04 > Calculate F_beta Score....
[INFO] 2021-01-02 10:09:27 > Calculate Accuracies....
[INFO] 2021-01-02 10:09:30 > Calculate Accuracies....
[INFO] 2021-01-02 10:09:32 > F_8 score (Step: 50000, Using valid images): 0.9215306067663096
[INFO] 2021-01-02 10:09:32 > F_1/8 score (Step: 50000, Using valid images): 0.9824032598526278
[INFO] 2021-01-02 10:09:32 > FID score (Step: 50000, Using valid moments): 21.306860877851932
[INFO] 2021-01-02 10:09:32 > Inception score (Step: 50000, 10000 generated images): 15.067072868347168
[INFO] 2021-01-02 10:09:32 > Best FID score (Step: 48000, Using valid moments): 21.168266046097756
[INFO] 2021-01-02 10:09:39 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 10:12:36 > Step: 50100 Progress: 50.1% Elapsed: 1 day, 1:16:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.97141 Generator_loss: 5.12669
[INFO] 2021-01-02 10:15:33 > Step: 50200 Progress: 50.2% Elapsed: 1 day, 1:19:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.52472 Generator_loss: 4.659
[INFO] 2021-01-02 10:18:32 > Step: 50300 Progress: 50.3% Elapsed: 1 day, 1:22:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.53501 Generator_loss: 4.87082
[INFO] 2021-01-02 10:21:28 > Step: 50400 Progress: 50.4% Elapsed: 1 day, 1:24:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.39737 Generator_loss: 4.63276
[INFO] 2021-01-02 10:24:25 > Step: 50500 Progress: 50.5% Elapsed: 1 day, 1:27:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.83316 Generator_loss: 4.90293
[INFO] 2021-01-02 10:27:20 > Step: 50600 Progress: 50.6% Elapsed: 1 day, 1:30:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.8101 Generator_loss: 5.52065
[INFO] 2021-01-02 10:30:17 > Step: 50700 Progress: 50.7% Elapsed: 1 day, 1:33:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.8776 Generator_loss: 4.79674
[INFO] 2021-01-02 10:33:14 > Step: 50800 Progress: 50.8% Elapsed: 1 day, 1:36:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.44359 Generator_loss: 5.0221
[INFO] 2021-01-02 10:36:12 > Step: 50900 Progress: 50.9% Elapsed: 1 day, 1:39:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.64983 Generator_loss: 4.76222
[INFO] 2021-01-02 10:39:13 > Step: 51000 Progress: 51.0% Elapsed: 1 day, 1:42:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.46898 Generator_loss: 5.10284
[INFO] 2021-01-02 10:42:12 > Step: 51100 Progress: 51.1% Elapsed: 1 day, 1:45:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.69097 Generator_loss: 5.66187
[INFO] 2021-01-02 10:45:08 > Step: 51200 Progress: 51.2% Elapsed: 1 day, 1:48:36 temperature: 1.0 ada_p: No Discriminator_loss: 5.45283 Generator_loss: 5.70382
[INFO] 2021-01-02 10:48:05 > Step: 51300 Progress: 51.3% Elapsed: 1 day, 1:51:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.63099 Generator_loss: 4.98447
[INFO] 2021-01-02 10:51:02 > Step: 51400 Progress: 51.4% Elapsed: 1 day, 1:54:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.94896 Generator_loss: 4.95976
[INFO] 2021-01-02 10:54:00 > Step: 51500 Progress: 51.5% Elapsed: 1 day, 1:57:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.606 Generator_loss: 4.04855
[INFO] 2021-01-02 10:56:57 > Step: 51600 Progress: 51.6% Elapsed: 1 day, 2:00:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.44046 Generator_loss: 5.87838
[INFO] 2021-01-02 10:59:55 > Step: 51700 Progress: 51.7% Elapsed: 1 day, 2:03:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.4851 Generator_loss: 4.52976
[INFO] 2021-01-02 11:02:55 > Step: 51800 Progress: 51.8% Elapsed: 1 day, 2:06:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.3643 Generator_loss: 5.72532
[INFO] 2021-01-02 11:05:53 > Step: 51900 Progress: 51.9% Elapsed: 1 day, 2:09:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.01004 Generator_loss: 4.89496
[INFO] 2021-01-02 11:08:52 > Step: 52000 Progress: 52.0% Elapsed: 1 day, 2:12:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.34772 Generator_loss: 5.32026
[INFO] 2021-01-02 11:08:52 > Start Evaluation (52000 Step): CRGAN(C)-train-2021_01_01_08_56_13
[INFO] 2021-01-02 11:08:52 > Calculating FID Score....
[INFO] 2021-01-02 11:09:09 > Calculating Inception Score....
[INFO] 2021-01-02 11:09:14 > Calculate F_beta Score....
[INFO] 2021-01-02 11:09:36 > Calculate Accuracies....
[INFO] 2021-01-02 11:09:40 > Calculate Accuracies....
[INFO] 2021-01-02 11:09:42 > F_8 score (Step: 52000, Using valid images): 0.9237577638477537
[INFO] 2021-01-02 11:09:42 > F_1/8 score (Step: 52000, Using valid images): 0.9805821427218143
[INFO] 2021-01-02 11:09:42 > FID score (Step: 52000, Using valid moments): 20.761934221195247
[INFO] 2021-01-02 11:09:42 > Inception score (Step: 52000, 10000 generated images): 14.974609375
[INFO] 2021-01-02 11:09:42 > Best FID score (Step: 52000, Using valid moments): 20.761934221195247
[INFO] 2021-01-02 11:09:55 > Save model to checkpoints/CRGAN(C)-train-2021_01_01_08_56_13