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ProjGAN-train-2021_01_15_11_59_49.log
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ProjGAN-train-2021_01_15_11_59_49.log
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[INFO] 2021-01-15 11:59:49 > Run name : ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 11:59:49 > {'config_path': './src/configs/TINY_ILSVRC2012/ProjGAN.json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, 'num_workers': 8, 'synchronized_bn': False, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'tsne_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'valid'}
[INFO] 2021-01-15 11:59:49 > {'data_processing': {'dataset_name': 'tiny_imagenet', 'data_path': './data/TINY_ILSVRC2012', 'img_size': 64, 'num_classes': 200, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'resnet', 'conditional_strategy': 'ProjGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': False, 'd_spectral_norm': False, 'activation_fn': 'ReLU', 'attention': False, 'attention_after_nth_gen_block': 'N/A', 'attention_after_nth_dis_block': 'N/A', 'z_dim': 128, 'shared_dim': 'N/A', 'g_conv_dim': 64, 'd_conv_dim': 64, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 256, 'accumulation_steps': 1, 'd_lr': 0.0004, 'g_lr': 0.0001, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 1, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': False, 'ema_decay': 'N/A', 'ema_start': 'N/A'}}}
[INFO] 2021-01-15 11:59:49 > Load train datasets...
[INFO] 2021-01-15 11:59:52 > Train dataset size : 100000
[INFO] 2021-01-15 11:59:52 > Load valid datasets...
[INFO] 2021-01-15 11:59:52 > Eval dataset size : 10000
[INFO] 2021-01-15 11:59:52 > Build model...
[INFO] 2021-01-15 11:59:52 > Modules are located on models.resnet.
[INFO] 2021-01-15 12:00:05 > Number of parameters: 13366915
[INFO] 2021-01-15 12:00:05 > Generator(
(linear0): Linear(in_features=128, out_features=16384, bias=True)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(1024, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 1024)
(embed1): Embedding(200, 1024)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 512)
(embed1): Embedding(200, 512)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1024, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 512)
(embed1): Embedding(200, 512)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 256)
(embed1): Embedding(200, 256)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 256)
(embed1): Embedding(200, 256)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 128)
(embed1): Embedding(200, 128)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 128)
(embed1): Embedding(200, 128)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 64)
(embed1): Embedding(200, 64)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(64, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-15 12:00:05 > Number of parameters: 19755335
[INFO] 2021-01-15 12:00:05 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 64, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(3, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 512, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(1024, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=1024, out_features=1, bias=True)
(embedding): Embedding(200, 1024)
)
[INFO] 2021-01-15 12:00:09 > Start training....
[INFO] 2021-01-15 12:01:03 > Step: 100 Progress: 0.1% Elapsed: 0:00:53 temperature: no ada_p: No Discriminator_loss: 1.30387 Generator_loss: 1.10875
[INFO] 2021-01-15 12:01:51 > Step: 200 Progress: 0.2% Elapsed: 0:01:42 temperature: no ada_p: No Discriminator_loss: 0.89404 Generator_loss: 1.22297
[INFO] 2021-01-15 12:02:40 > Step: 300 Progress: 0.3% Elapsed: 0:02:30 temperature: no ada_p: No Discriminator_loss: 0.0868157 Generator_loss: 1.85671
[INFO] 2021-01-15 12:03:29 > Step: 400 Progress: 0.4% Elapsed: 0:03:19 temperature: no ada_p: No Discriminator_loss: 1.38063 Generator_loss: 0.77825
[INFO] 2021-01-15 12:04:18 > Step: 500 Progress: 0.5% Elapsed: 0:04:08 temperature: no ada_p: No Discriminator_loss: 0.178812 Generator_loss: 2.14684
[INFO] 2021-01-15 12:05:07 > Step: 600 Progress: 0.6% Elapsed: 0:04:57 temperature: no ada_p: No Discriminator_loss: 0.00881986 Generator_loss: 2.2601
[INFO] 2021-01-15 12:05:56 > Step: 700 Progress: 0.7% Elapsed: 0:05:46 temperature: no ada_p: No Discriminator_loss: 0.00351761 Generator_loss: 2.48482
[INFO] 2021-01-15 12:06:45 > Step: 800 Progress: 0.8% Elapsed: 0:06:35 temperature: no ada_p: No Discriminator_loss: 0.01144 Generator_loss: 2.2259
[INFO] 2021-01-15 12:07:33 > Step: 900 Progress: 0.9% Elapsed: 0:07:24 temperature: no ada_p: No Discriminator_loss: 0.0557346 Generator_loss: 1.98084
[INFO] 2021-01-15 12:08:22 > Step: 1000 Progress: 1.0% Elapsed: 0:08:12 temperature: no ada_p: No Discriminator_loss: 0.0512021 Generator_loss: 4.34875
[INFO] 2021-01-15 12:09:11 > Step: 1100 Progress: 1.1% Elapsed: 0:09:01 temperature: no ada_p: No Discriminator_loss: 0.00948748 Generator_loss: 2.75607
[INFO] 2021-01-15 12:10:00 > Step: 1200 Progress: 1.2% Elapsed: 0:09:50 temperature: no ada_p: No Discriminator_loss: 0.036278 Generator_loss: 2.33964
[INFO] 2021-01-15 12:10:49 > Step: 1300 Progress: 1.3% Elapsed: 0:10:39 temperature: no ada_p: No Discriminator_loss: 0.038367 Generator_loss: 2.22358
[INFO] 2021-01-15 12:11:38 > Step: 1400 Progress: 1.4% Elapsed: 0:11:28 temperature: no ada_p: No Discriminator_loss: 0.00471304 Generator_loss: 3.35428
[INFO] 2021-01-15 12:12:26 > Step: 1500 Progress: 1.5% Elapsed: 0:12:17 temperature: no ada_p: No Discriminator_loss: 2.66819 Generator_loss: -0.027229
[INFO] 2021-01-15 12:13:16 > Step: 1600 Progress: 1.6% Elapsed: 0:13:06 temperature: no ada_p: No Discriminator_loss: 8.71827e-05 Generator_loss: 1.92156
[INFO] 2021-01-15 12:14:04 > Step: 1700 Progress: 1.7% Elapsed: 0:13:55 temperature: no ada_p: No Discriminator_loss: 0.0500389 Generator_loss: 2.12061
[INFO] 2021-01-15 12:14:53 > Step: 1800 Progress: 1.8% Elapsed: 0:14:44 temperature: no ada_p: No Discriminator_loss: 0.0708789 Generator_loss: 2.57778
[INFO] 2021-01-15 12:15:42 > Step: 1900 Progress: 1.9% Elapsed: 0:15:32 temperature: no ada_p: No Discriminator_loss: 0.0221872 Generator_loss: 1.94415
[INFO] 2021-01-15 12:16:31 > Step: 2000 Progress: 2.0% Elapsed: 0:16:22 temperature: no ada_p: No Discriminator_loss: 1.06768 Generator_loss: 0.824031
[INFO] 2021-01-15 12:16:31 > Start Evaluation (2000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 12:16:31 > Calculating FID Score....
[INFO] 2021-01-15 12:16:55 > Calculating Inception Score....
[INFO] 2021-01-15 12:17:08 > Calculate F_beta Score....
[INFO] 2021-01-15 12:18:07 > Calculate Accuracies....
[INFO] 2021-01-15 12:18:12 > Calculate Accuracies....
[INFO] 2021-01-15 12:18:24 > F_8 score (Step: 2000, Using valid images): 0.01435778471552015
[INFO] 2021-01-15 12:18:25 > F_1/8 score (Step: 2000, Using valid images): 0.05040106762950795
[INFO] 2021-01-15 12:18:25 > FID score (Step: 2000, Using valid moments): 213.9763834329279
[INFO] 2021-01-15 12:18:25 > Inception score (Step: 2000, 10000 generated images): 2.661412000656128
[INFO] 2021-01-15 12:18:25 > Best FID score (Step: 2000, Using valid moments): 213.9763834329279
[INFO] 2021-01-15 12:18:27 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 12:19:15 > Step: 2100 Progress: 2.1% Elapsed: 0:19:05 temperature: no ada_p: No Discriminator_loss: 0.553375 Generator_loss: 1.12637
[INFO] 2021-01-15 12:20:04 > Step: 2200 Progress: 2.2% Elapsed: 0:19:54 temperature: no ada_p: No Discriminator_loss: 1.84902 Generator_loss: 0.728041
[INFO] 2021-01-15 12:20:53 > Step: 2300 Progress: 2.3% Elapsed: 0:20:43 temperature: no ada_p: No Discriminator_loss: 0.502949 Generator_loss: 1.7655
[INFO] 2021-01-15 12:21:42 > Step: 2400 Progress: 2.4% Elapsed: 0:21:32 temperature: no ada_p: No Discriminator_loss: 0.417418 Generator_loss: 2.9881
[INFO] 2021-01-15 12:22:31 > Step: 2500 Progress: 2.5% Elapsed: 0:22:21 temperature: no ada_p: No Discriminator_loss: 0.400279 Generator_loss: 1.48959
[INFO] 2021-01-15 12:23:19 > Step: 2600 Progress: 2.6% Elapsed: 0:23:10 temperature: no ada_p: No Discriminator_loss: 1.04547 Generator_loss: 3.88046
[INFO] 2021-01-15 12:24:08 > Step: 2700 Progress: 2.7% Elapsed: 0:23:59 temperature: no ada_p: No Discriminator_loss: 0.623308 Generator_loss: 0.982466
[INFO] 2021-01-15 12:24:58 > Step: 2800 Progress: 2.8% Elapsed: 0:24:48 temperature: no ada_p: No Discriminator_loss: 0.33065 Generator_loss: 2.68707
[INFO] 2021-01-15 12:25:46 > Step: 2900 Progress: 2.9% Elapsed: 0:25:37 temperature: no ada_p: No Discriminator_loss: 1.19136 Generator_loss: 2.46207
[INFO] 2021-01-15 12:26:35 > Step: 3000 Progress: 3.0% Elapsed: 0:26:25 temperature: no ada_p: No Discriminator_loss: 0.27564 Generator_loss: 0.853977
[INFO] 2021-01-15 12:27:24 > Step: 3100 Progress: 3.1% Elapsed: 0:27:14 temperature: no ada_p: No Discriminator_loss: 0.549014 Generator_loss: 2.58867
[INFO] 2021-01-15 12:28:13 > Step: 3200 Progress: 3.2% Elapsed: 0:28:03 temperature: no ada_p: No Discriminator_loss: 0.536567 Generator_loss: 1.64506
[INFO] 2021-01-15 12:29:02 > Step: 3300 Progress: 3.3% Elapsed: 0:28:52 temperature: no ada_p: No Discriminator_loss: 1.35094 Generator_loss: 1.52452
[INFO] 2021-01-15 12:29:51 > Step: 3400 Progress: 3.4% Elapsed: 0:29:41 temperature: no ada_p: No Discriminator_loss: 0.357455 Generator_loss: 1.46172
[INFO] 2021-01-15 12:30:40 > Step: 3500 Progress: 3.5% Elapsed: 0:30:30 temperature: no ada_p: No Discriminator_loss: 0.825154 Generator_loss: 2.44483
[INFO] 2021-01-15 12:31:29 > Step: 3600 Progress: 3.6% Elapsed: 0:31:19 temperature: no ada_p: No Discriminator_loss: 0.517019 Generator_loss: 1.08816
[INFO] 2021-01-15 12:32:18 > Step: 3700 Progress: 3.7% Elapsed: 0:32:08 temperature: no ada_p: No Discriminator_loss: 0.709983 Generator_loss: 3.45595
[INFO] 2021-01-15 12:33:07 > Step: 3800 Progress: 3.8% Elapsed: 0:32:57 temperature: no ada_p: No Discriminator_loss: 0.751571 Generator_loss: 3.38992
[INFO] 2021-01-15 12:33:56 > Step: 3900 Progress: 3.9% Elapsed: 0:33:46 temperature: no ada_p: No Discriminator_loss: 0.37218 Generator_loss: 1.61774
[INFO] 2021-01-15 12:34:45 > Step: 4000 Progress: 4.0% Elapsed: 0:34:35 temperature: no ada_p: No Discriminator_loss: 0.281947 Generator_loss: 3.30351
[INFO] 2021-01-15 12:34:45 > Start Evaluation (4000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 12:34:45 > Calculating FID Score....
[INFO] 2021-01-15 12:35:06 > Calculating Inception Score....
[INFO] 2021-01-15 12:35:19 > Calculate F_beta Score....
[INFO] 2021-01-15 12:36:18 > Calculate Accuracies....
[INFO] 2021-01-15 12:36:23 > Calculate Accuracies....
[INFO] 2021-01-15 12:36:36 > F_8 score (Step: 4000, Using valid images): 0.3932455341795141
[INFO] 2021-01-15 12:36:36 > F_1/8 score (Step: 4000, Using valid images): 0.5953716346614851
[INFO] 2021-01-15 12:36:36 > FID score (Step: 4000, Using valid moments): 90.40334849873841
[INFO] 2021-01-15 12:36:36 > Inception score (Step: 4000, 10000 generated images): 5.82366418838501
[INFO] 2021-01-15 12:36:36 > Best FID score (Step: 4000, Using valid moments): 90.40334849873841
[INFO] 2021-01-15 12:36:38 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 12:37:26 > Step: 4100 Progress: 4.1% Elapsed: 0:37:16 temperature: no ada_p: No Discriminator_loss: 0.501478 Generator_loss: 1.03023
[INFO] 2021-01-15 12:38:15 > Step: 4200 Progress: 4.2% Elapsed: 0:38:05 temperature: no ada_p: No Discriminator_loss: 1.4243 Generator_loss: 2.19994
[INFO] 2021-01-15 12:39:04 > Step: 4300 Progress: 4.3% Elapsed: 0:38:54 temperature: no ada_p: No Discriminator_loss: 0.978023 Generator_loss: 0.137794
[INFO] 2021-01-15 12:39:53 > Step: 4400 Progress: 4.4% Elapsed: 0:39:43 temperature: no ada_p: No Discriminator_loss: 0.691532 Generator_loss: 0.804404
[INFO] 2021-01-15 12:40:42 > Step: 4500 Progress: 4.5% Elapsed: 0:40:32 temperature: no ada_p: No Discriminator_loss: 1.67151 Generator_loss: 3.52122
[INFO] 2021-01-15 12:41:31 > Step: 4600 Progress: 4.6% Elapsed: 0:41:21 temperature: no ada_p: No Discriminator_loss: 0.351362 Generator_loss: 1.59398
[INFO] 2021-01-15 12:42:20 > Step: 4700 Progress: 4.7% Elapsed: 0:42:10 temperature: no ada_p: No Discriminator_loss: 0.920776 Generator_loss: 0.376629
[INFO] 2021-01-15 12:43:09 > Step: 4800 Progress: 4.8% Elapsed: 0:42:59 temperature: no ada_p: No Discriminator_loss: 0.670756 Generator_loss: 2.86901
[INFO] 2021-01-15 12:43:58 > Step: 4900 Progress: 4.9% Elapsed: 0:43:48 temperature: no ada_p: No Discriminator_loss: 0.457682 Generator_loss: 1.53133
[INFO] 2021-01-15 12:44:46 > Step: 5000 Progress: 5.0% Elapsed: 0:44:37 temperature: no ada_p: No Discriminator_loss: 0.698211 Generator_loss: 0.729899
[INFO] 2021-01-15 12:45:36 > Step: 5100 Progress: 5.1% Elapsed: 0:45:26 temperature: no ada_p: No Discriminator_loss: 0.766809 Generator_loss: 4.49226
[INFO] 2021-01-15 12:46:25 > Step: 5200 Progress: 5.2% Elapsed: 0:46:15 temperature: no ada_p: No Discriminator_loss: 0.776264 Generator_loss: 4.56658
[INFO] 2021-01-15 12:47:13 > Step: 5300 Progress: 5.3% Elapsed: 0:47:04 temperature: no ada_p: No Discriminator_loss: 0.812834 Generator_loss: -0.0681559
[INFO] 2021-01-15 12:48:02 > Step: 5400 Progress: 5.4% Elapsed: 0:47:52 temperature: no ada_p: No Discriminator_loss: 0.449314 Generator_loss: 1.46087
[INFO] 2021-01-15 12:48:51 > Step: 5500 Progress: 5.5% Elapsed: 0:48:42 temperature: no ada_p: No Discriminator_loss: 0.398395 Generator_loss: 1.64261
[INFO] 2021-01-15 12:49:40 > Step: 5600 Progress: 5.6% Elapsed: 0:49:31 temperature: no ada_p: No Discriminator_loss: 1.89981 Generator_loss: -1.68015
[INFO] 2021-01-15 12:50:29 > Step: 5700 Progress: 5.7% Elapsed: 0:50:19 temperature: no ada_p: No Discriminator_loss: 2.00385 Generator_loss: 3.88765
[INFO] 2021-01-15 12:51:18 > Step: 5800 Progress: 5.8% Elapsed: 0:51:08 temperature: no ada_p: No Discriminator_loss: 0.0249367 Generator_loss: 2.71105
[INFO] 2021-01-15 12:52:07 > Step: 5900 Progress: 5.9% Elapsed: 0:51:58 temperature: no ada_p: No Discriminator_loss: 0.280545 Generator_loss: 4.19787
[INFO] 2021-01-15 12:52:56 > Step: 6000 Progress: 6.0% Elapsed: 0:52:46 temperature: no ada_p: No Discriminator_loss: 0.267482 Generator_loss: 3.89091
[INFO] 2021-01-15 12:52:56 > Start Evaluation (6000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 12:52:56 > Calculating FID Score....
[INFO] 2021-01-15 12:53:17 > Calculating Inception Score....
[INFO] 2021-01-15 12:53:30 > Calculate F_beta Score....
[INFO] 2021-01-15 12:54:29 > Calculate Accuracies....
[INFO] 2021-01-15 12:54:35 > Calculate Accuracies....
[INFO] 2021-01-15 12:54:47 > F_8 score (Step: 6000, Using valid images): 0.42772411349756523
[INFO] 2021-01-15 12:54:47 > F_1/8 score (Step: 6000, Using valid images): 0.6260704398752037
[INFO] 2021-01-15 12:54:47 > FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 12:54:47 > Inception score (Step: 6000, 10000 generated images): 6.224153518676758
[INFO] 2021-01-15 12:54:47 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 12:54:49 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 12:55:38 > Step: 6100 Progress: 6.1% Elapsed: 0:55:28 temperature: no ada_p: No Discriminator_loss: 0.241581 Generator_loss: 2.70418
[INFO] 2021-01-15 12:56:27 > Step: 6200 Progress: 6.2% Elapsed: 0:56:17 temperature: no ada_p: No Discriminator_loss: 0.488878 Generator_loss: -0.101838
[INFO] 2021-01-15 12:57:16 > Step: 6300 Progress: 6.3% Elapsed: 0:57:06 temperature: no ada_p: No Discriminator_loss: 0.530022 Generator_loss: 1.28643
[INFO] 2021-01-15 12:58:05 > Step: 6400 Progress: 6.4% Elapsed: 0:57:55 temperature: no ada_p: No Discriminator_loss: 0.106959 Generator_loss: 4.82071
[INFO] 2021-01-15 12:58:54 > Step: 6500 Progress: 6.5% Elapsed: 0:58:44 temperature: no ada_p: No Discriminator_loss: 0.595096 Generator_loss: 1.97283
[INFO] 2021-01-15 12:59:42 > Step: 6600 Progress: 6.6% Elapsed: 0:59:33 temperature: no ada_p: No Discriminator_loss: 0.0470977 Generator_loss: 2.48436
[INFO] 2021-01-15 13:00:32 > Step: 6700 Progress: 6.7% Elapsed: 1:00:22 temperature: no ada_p: No Discriminator_loss: 0.62742 Generator_loss: 2.07777
[INFO] 2021-01-15 13:01:21 > Step: 6800 Progress: 6.8% Elapsed: 1:01:11 temperature: no ada_p: No Discriminator_loss: 0.889833 Generator_loss: 4.19506
[INFO] 2021-01-15 13:02:09 > Step: 6900 Progress: 6.9% Elapsed: 1:02:00 temperature: no ada_p: No Discriminator_loss: 0.146314 Generator_loss: 3.21119
[INFO] 2021-01-15 13:02:58 > Step: 7000 Progress: 7.0% Elapsed: 1:02:48 temperature: no ada_p: No Discriminator_loss: 1.08526 Generator_loss: 6.99921
[INFO] 2021-01-15 13:03:47 > Step: 7100 Progress: 7.1% Elapsed: 1:03:38 temperature: no ada_p: No Discriminator_loss: 0.0757182 Generator_loss: 3.73366
[INFO] 2021-01-15 13:04:36 > Step: 7200 Progress: 7.2% Elapsed: 1:04:27 temperature: no ada_p: No Discriminator_loss: 0.0969447 Generator_loss: 3.33557
[INFO] 2021-01-15 13:05:25 > Step: 7300 Progress: 7.3% Elapsed: 1:05:15 temperature: no ada_p: No Discriminator_loss: 0.00159929 Generator_loss: 2.50299
[INFO] 2021-01-15 13:06:14 > Step: 7400 Progress: 7.4% Elapsed: 1:06:04 temperature: no ada_p: No Discriminator_loss: 0.00882265 Generator_loss: 3.23781
[INFO] 2021-01-15 13:07:03 > Step: 7500 Progress: 7.5% Elapsed: 1:06:54 temperature: no ada_p: No Discriminator_loss: 0.116271 Generator_loss: 4.69966
[INFO] 2021-01-15 13:07:52 > Step: 7600 Progress: 7.6% Elapsed: 1:07:42 temperature: no ada_p: No Discriminator_loss: 1.0754 Generator_loss: 5.58742
[INFO] 2021-01-15 13:08:41 > Step: 7700 Progress: 7.7% Elapsed: 1:08:31 temperature: no ada_p: No Discriminator_loss: 0.202604 Generator_loss: 2.99333
[INFO] 2021-01-15 13:09:30 > Step: 7800 Progress: 7.8% Elapsed: 1:09:20 temperature: no ada_p: No Discriminator_loss: 0.0857752 Generator_loss: 3.97691
[INFO] 2021-01-15 13:10:19 > Step: 7900 Progress: 7.9% Elapsed: 1:10:10 temperature: no ada_p: No Discriminator_loss: 2.2904 Generator_loss: 5.56353
[INFO] 2021-01-15 13:11:08 > Step: 8000 Progress: 8.0% Elapsed: 1:10:58 temperature: no ada_p: No Discriminator_loss: 0.284981 Generator_loss: 1.04236
[INFO] 2021-01-15 13:11:08 > Start Evaluation (8000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 13:11:08 > Calculating FID Score....
[INFO] 2021-01-15 13:11:29 > Calculating Inception Score....
[INFO] 2021-01-15 13:11:42 > Calculate F_beta Score....
[INFO] 2021-01-15 13:12:41 > Calculate Accuracies....
[INFO] 2021-01-15 13:12:47 > Calculate Accuracies....
[INFO] 2021-01-15 13:13:00 > F_8 score (Step: 8000, Using valid images): 0.46831068908756185
[INFO] 2021-01-15 13:13:00 > F_1/8 score (Step: 8000, Using valid images): 0.529442616807329
[INFO] 2021-01-15 13:13:00 > FID score (Step: 8000, Using valid moments): 94.07821756336966
[INFO] 2021-01-15 13:13:00 > Inception score (Step: 8000, 10000 generated images): 5.6084747314453125
[INFO] 2021-01-15 13:13:00 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 13:13:01 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 13:13:49 > Step: 8100 Progress: 8.1% Elapsed: 1:13:40 temperature: no ada_p: No Discriminator_loss: 0.314119 Generator_loss: 2.2572
[INFO] 2021-01-15 13:14:39 > Step: 8200 Progress: 8.2% Elapsed: 1:14:29 temperature: no ada_p: No Discriminator_loss: 0.0266716 Generator_loss: 3.10393
[INFO] 2021-01-15 13:15:27 > Step: 8300 Progress: 8.3% Elapsed: 1:15:18 temperature: no ada_p: No Discriminator_loss: 0.0580028 Generator_loss: 3.1068
[INFO] 2021-01-15 13:16:16 > Step: 8400 Progress: 8.4% Elapsed: 1:16:06 temperature: no ada_p: No Discriminator_loss: 0.0453363 Generator_loss: 3.17032
[INFO] 2021-01-15 13:17:05 > Step: 8500 Progress: 8.5% Elapsed: 1:16:55 temperature: no ada_p: No Discriminator_loss: 1.17893 Generator_loss: 5.86881
[INFO] 2021-01-15 13:17:54 > Step: 8600 Progress: 8.6% Elapsed: 1:17:45 temperature: no ada_p: No Discriminator_loss: 0.055744 Generator_loss: 2.41146
[INFO] 2021-01-15 13:18:43 > Step: 8700 Progress: 8.7% Elapsed: 1:18:33 temperature: no ada_p: No Discriminator_loss: 0.019389 Generator_loss: 3.20202
[INFO] 2021-01-15 13:19:32 > Step: 8800 Progress: 8.8% Elapsed: 1:19:22 temperature: no ada_p: No Discriminator_loss: 0.0175429 Generator_loss: 2.43659
[INFO] 2021-01-15 13:20:21 > Step: 8900 Progress: 8.9% Elapsed: 1:20:11 temperature: no ada_p: No Discriminator_loss: 0.785651 Generator_loss: 4.37009
[INFO] 2021-01-15 13:21:10 > Step: 9000 Progress: 9.0% Elapsed: 1:21:00 temperature: no ada_p: No Discriminator_loss: 0.806847 Generator_loss: 5.03823
[INFO] 2021-01-15 13:21:59 > Step: 9100 Progress: 9.1% Elapsed: 1:21:49 temperature: no ada_p: No Discriminator_loss: 0.0319944 Generator_loss: 2.78152
[INFO] 2021-01-15 13:22:48 > Step: 9200 Progress: 9.2% Elapsed: 1:22:38 temperature: no ada_p: No Discriminator_loss: 0.0190642 Generator_loss: 2.58616
[INFO] 2021-01-15 13:23:36 > Step: 9300 Progress: 9.3% Elapsed: 1:23:27 temperature: no ada_p: No Discriminator_loss: 0.11751 Generator_loss: 1.73477
[INFO] 2021-01-15 13:24:26 > Step: 9400 Progress: 9.4% Elapsed: 1:24:16 temperature: no ada_p: No Discriminator_loss: 0.0162312 Generator_loss: 2.42766
[INFO] 2021-01-15 13:25:15 > Step: 9500 Progress: 9.5% Elapsed: 1:25:05 temperature: no ada_p: No Discriminator_loss: 0.00639822 Generator_loss: 2.06276
[INFO] 2021-01-15 13:26:03 > Step: 9600 Progress: 9.6% Elapsed: 1:25:54 temperature: no ada_p: No Discriminator_loss: 0.0174272 Generator_loss: 2.65361
[INFO] 2021-01-15 13:26:52 > Step: 9700 Progress: 9.7% Elapsed: 1:26:43 temperature: no ada_p: No Discriminator_loss: 0.0319615 Generator_loss: 2.2866
[INFO] 2021-01-15 13:27:42 > Step: 9800 Progress: 9.8% Elapsed: 1:27:32 temperature: no ada_p: No Discriminator_loss: 0.0249307 Generator_loss: 2.56576
[INFO] 2021-01-15 13:28:30 > Step: 9900 Progress: 9.9% Elapsed: 1:28:21 temperature: no ada_p: No Discriminator_loss: 0.0257169 Generator_loss: 2.39389
[INFO] 2021-01-15 13:29:19 > Step: 10000 Progress: 10.0% Elapsed: 1:29:09 temperature: no ada_p: No Discriminator_loss: 0.191184 Generator_loss: 2.39764
[INFO] 2021-01-15 13:29:19 > Start Evaluation (10000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 13:29:19 > Calculating FID Score....
[INFO] 2021-01-15 13:29:40 > Calculating Inception Score....
[INFO] 2021-01-15 13:29:53 > Calculate F_beta Score....
[INFO] 2021-01-15 13:30:50 > Calculate Accuracies....
[INFO] 2021-01-15 13:30:56 > Calculate Accuracies....
[INFO] 2021-01-15 13:31:08 > F_8 score (Step: 10000, Using valid images): 0.44032013526204833
[INFO] 2021-01-15 13:31:08 > F_1/8 score (Step: 10000, Using valid images): 0.5706546360280644
[INFO] 2021-01-15 13:31:08 > FID score (Step: 10000, Using valid moments): 98.37752036350622
[INFO] 2021-01-15 13:31:08 > Inception score (Step: 10000, 10000 generated images): 5.055997848510742
[INFO] 2021-01-15 13:31:08 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 13:31:10 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 13:31:58 > Step: 10100 Progress: 10.1% Elapsed: 1:31:49 temperature: no ada_p: No Discriminator_loss: 0.0337728 Generator_loss: 2.81254
[INFO] 2021-01-15 13:32:47 > Step: 10200 Progress: 10.2% Elapsed: 1:32:38 temperature: no ada_p: No Discriminator_loss: 0.00872441 Generator_loss: 2.59813
[INFO] 2021-01-15 13:33:36 > Step: 10300 Progress: 10.3% Elapsed: 1:33:27 temperature: no ada_p: No Discriminator_loss: 0.00614075 Generator_loss: 2.16256
[INFO] 2021-01-15 13:34:25 > Step: 10400 Progress: 10.4% Elapsed: 1:34:15 temperature: no ada_p: No Discriminator_loss: 0.0170498 Generator_loss: 2.42218
[INFO] 2021-01-15 13:35:14 > Step: 10500 Progress: 10.5% Elapsed: 1:35:04 temperature: no ada_p: No Discriminator_loss: 4.59662 Generator_loss: 3.62068
[INFO] 2021-01-15 13:36:03 > Step: 10600 Progress: 10.6% Elapsed: 1:35:54 temperature: no ada_p: No Discriminator_loss: 0.0904085 Generator_loss: 2.85192
[INFO] 2021-01-15 13:36:52 > Step: 10700 Progress: 10.7% Elapsed: 1:36:42 temperature: no ada_p: No Discriminator_loss: 1.05329 Generator_loss: 2.76295
[INFO] 2021-01-15 13:37:41 > Step: 10800 Progress: 10.8% Elapsed: 1:37:31 temperature: no ada_p: No Discriminator_loss: 0.00748318 Generator_loss: 2.3896
[INFO] 2021-01-15 13:38:30 > Step: 10900 Progress: 10.9% Elapsed: 1:38:20 temperature: no ada_p: No Discriminator_loss: 2.63249 Generator_loss: 3.50673
[INFO] 2021-01-15 13:39:19 > Step: 11000 Progress: 11.0% Elapsed: 1:39:09 temperature: no ada_p: No Discriminator_loss: 0.012726 Generator_loss: 2.5377
[INFO] 2021-01-15 13:40:08 > Step: 11100 Progress: 11.1% Elapsed: 1:39:58 temperature: no ada_p: No Discriminator_loss: 0.00631012 Generator_loss: 2.56154
[INFO] 2021-01-15 13:40:57 > Step: 11200 Progress: 11.2% Elapsed: 1:40:47 temperature: no ada_p: No Discriminator_loss: 0.0755928 Generator_loss: 3.38113
[INFO] 2021-01-15 13:41:45 > Step: 11300 Progress: 11.3% Elapsed: 1:41:36 temperature: no ada_p: No Discriminator_loss: 0.00882904 Generator_loss: 2.47023
[INFO] 2021-01-15 13:42:35 > Step: 11400 Progress: 11.4% Elapsed: 1:42:25 temperature: no ada_p: No Discriminator_loss: 0.275091 Generator_loss: 2.28895
[INFO] 2021-01-15 13:43:24 > Step: 11500 Progress: 11.5% Elapsed: 1:43:14 temperature: no ada_p: No Discriminator_loss: 0.0220844 Generator_loss: 2.74319
[INFO] 2021-01-15 13:44:12 > Step: 11600 Progress: 11.6% Elapsed: 1:44:03 temperature: no ada_p: No Discriminator_loss: 0.0116291 Generator_loss: 2.27081
[INFO] 2021-01-15 13:45:01 > Step: 11700 Progress: 11.7% Elapsed: 1:44:52 temperature: no ada_p: No Discriminator_loss: 0.114844 Generator_loss: 2.21704
[INFO] 2021-01-15 13:45:51 > Step: 11800 Progress: 11.8% Elapsed: 1:45:41 temperature: no ada_p: No Discriminator_loss: 0.00423845 Generator_loss: 2.63437
[INFO] 2021-01-15 13:46:39 > Step: 11900 Progress: 11.9% Elapsed: 1:46:30 temperature: no ada_p: No Discriminator_loss: 0.000530055 Generator_loss: 2.98155
[INFO] 2021-01-15 13:47:28 > Step: 12000 Progress: 12.0% Elapsed: 1:47:18 temperature: no ada_p: No Discriminator_loss: 0.0179196 Generator_loss: 3.14981
[INFO] 2021-01-15 13:47:28 > Start Evaluation (12000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 13:47:28 > Calculating FID Score....
[INFO] 2021-01-15 13:47:49 > Calculating Inception Score....
[INFO] 2021-01-15 13:48:02 > Calculate F_beta Score....
[INFO] 2021-01-15 13:49:02 > Calculate Accuracies....
[INFO] 2021-01-15 13:49:07 > Calculate Accuracies....
[INFO] 2021-01-15 13:49:20 > F_8 score (Step: 12000, Using valid images): 0.1750502256178619
[INFO] 2021-01-15 13:49:20 > F_1/8 score (Step: 12000, Using valid images): 0.19701750143979807
[INFO] 2021-01-15 13:49:20 > FID score (Step: 12000, Using valid moments): 174.78036592730228
[INFO] 2021-01-15 13:49:20 > Inception score (Step: 12000, 10000 generated images): 3.3336966037750244
[INFO] 2021-01-15 13:49:20 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 13:49:21 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 13:50:10 > Step: 12100 Progress: 12.1% Elapsed: 1:50:00 temperature: no ada_p: No Discriminator_loss: 0.037909 Generator_loss: 2.69979
[INFO] 2021-01-15 13:50:59 > Step: 12200 Progress: 12.2% Elapsed: 1:50:49 temperature: no ada_p: No Discriminator_loss: 0.0199737 Generator_loss: 1.91696
[INFO] 2021-01-15 13:51:48 > Step: 12300 Progress: 12.3% Elapsed: 1:51:38 temperature: no ada_p: No Discriminator_loss: 0.146272 Generator_loss: 2.14585
[INFO] 2021-01-15 13:52:36 > Step: 12400 Progress: 12.4% Elapsed: 1:52:27 temperature: no ada_p: No Discriminator_loss: 0.0145141 Generator_loss: 1.76911
[INFO] 2021-01-15 13:53:26 > Step: 12500 Progress: 12.5% Elapsed: 1:53:16 temperature: no ada_p: No Discriminator_loss: 0.00760351 Generator_loss: 2.82004
[INFO] 2021-01-15 13:54:14 > Step: 12600 Progress: 12.6% Elapsed: 1:54:05 temperature: no ada_p: No Discriminator_loss: 0.000269328 Generator_loss: 2.14867
[INFO] 2021-01-15 13:55:03 > Step: 12700 Progress: 12.7% Elapsed: 1:54:53 temperature: no ada_p: No Discriminator_loss: 0.0054965 Generator_loss: 4.38568
[INFO] 2021-01-15 13:55:52 > Step: 12800 Progress: 12.8% Elapsed: 1:55:42 temperature: no ada_p: No Discriminator_loss: 0.0384356 Generator_loss: 1.73914
[INFO] 2021-01-15 13:56:41 > Step: 12900 Progress: 12.9% Elapsed: 1:56:32 temperature: no ada_p: No Discriminator_loss: 0.0936704 Generator_loss: 3.55774
[INFO] 2021-01-15 13:57:30 > Step: 13000 Progress: 13.0% Elapsed: 1:57:20 temperature: no ada_p: No Discriminator_loss: 0.0014857 Generator_loss: 1.78068
[INFO] 2021-01-15 13:58:19 > Step: 13100 Progress: 13.1% Elapsed: 1:58:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.75542
[INFO] 2021-01-15 13:59:08 > Step: 13200 Progress: 13.2% Elapsed: 1:58:58 temperature: no ada_p: No Discriminator_loss: 0.0034501 Generator_loss: 2.19509
[INFO] 2021-01-15 13:59:57 > Step: 13300 Progress: 13.3% Elapsed: 1:59:47 temperature: no ada_p: No Discriminator_loss: 0.284495 Generator_loss: 3.87587
[INFO] 2021-01-15 14:00:46 > Step: 13400 Progress: 13.4% Elapsed: 2:00:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.3902
[INFO] 2021-01-15 14:01:35 > Step: 13500 Progress: 13.5% Elapsed: 2:01:25 temperature: no ada_p: No Discriminator_loss: 0.245748 Generator_loss: 0.801131
[INFO] 2021-01-15 14:02:24 > Step: 13600 Progress: 13.6% Elapsed: 2:02:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.79092
[INFO] 2021-01-15 14:03:13 > Step: 13700 Progress: 13.7% Elapsed: 2:03:03 temperature: no ada_p: No Discriminator_loss: 0.0119387 Generator_loss: 1.93832
[INFO] 2021-01-15 14:04:02 > Step: 13800 Progress: 13.8% Elapsed: 2:03:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.48487
[INFO] 2021-01-15 14:04:50 > Step: 13900 Progress: 13.9% Elapsed: 2:04:41 temperature: no ada_p: No Discriminator_loss: 0.0063884 Generator_loss: 1.82674
[INFO] 2021-01-15 14:05:39 > Step: 14000 Progress: 14.0% Elapsed: 2:05:29 temperature: no ada_p: No Discriminator_loss: 0.0350006 Generator_loss: 2.1764
[INFO] 2021-01-15 14:05:39 > Start Evaluation (14000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 14:05:39 > Calculating FID Score....
[INFO] 2021-01-15 14:06:00 > Calculating Inception Score....
[INFO] 2021-01-15 14:06:13 > Calculate F_beta Score....
[INFO] 2021-01-15 14:07:13 > Calculate Accuracies....
[INFO] 2021-01-15 14:07:18 > Calculate Accuracies....
[INFO] 2021-01-15 14:07:31 > F_8 score (Step: 14000, Using valid images): 0.2091611649160786
[INFO] 2021-01-15 14:07:31 > F_1/8 score (Step: 14000, Using valid images): 0.15573134336709113
[INFO] 2021-01-15 14:07:31 > FID score (Step: 14000, Using valid moments): 152.19267674751313
[INFO] 2021-01-15 14:07:31 > Inception score (Step: 14000, 10000 generated images): 4.108602523803711
[INFO] 2021-01-15 14:07:31 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 14:07:32 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 14:08:21 > Step: 14100 Progress: 14.1% Elapsed: 2:08:12 temperature: no ada_p: No Discriminator_loss: 0.0189569 Generator_loss: 2.39001
[INFO] 2021-01-15 14:09:10 > Step: 14200 Progress: 14.2% Elapsed: 2:09:00 temperature: no ada_p: No Discriminator_loss: 0.0773283 Generator_loss: 1.99632
[INFO] 2021-01-15 14:09:59 > Step: 14300 Progress: 14.3% Elapsed: 2:09:49 temperature: no ada_p: No Discriminator_loss: 0.00756731 Generator_loss: 2.27173
[INFO] 2021-01-15 14:10:48 > Step: 14400 Progress: 14.4% Elapsed: 2:10:38 temperature: no ada_p: No Discriminator_loss: 0.0022597 Generator_loss: 2.22688
[INFO] 2021-01-15 14:11:37 > Step: 14500 Progress: 14.5% Elapsed: 2:11:27 temperature: no ada_p: No Discriminator_loss: 0.00183 Generator_loss: 3.00264
[INFO] 2021-01-15 14:12:26 > Step: 14600 Progress: 14.6% Elapsed: 2:12:16 temperature: no ada_p: No Discriminator_loss: 0.0636157 Generator_loss: 2.25887
[INFO] 2021-01-15 14:13:15 > Step: 14700 Progress: 14.7% Elapsed: 2:13:05 temperature: no ada_p: No Discriminator_loss: 0.0188512 Generator_loss: 1.83184
[INFO] 2021-01-15 14:14:03 > Step: 14800 Progress: 14.8% Elapsed: 2:13:54 temperature: no ada_p: No Discriminator_loss: 2.21259 Generator_loss: 3.2716
[INFO] 2021-01-15 14:14:53 > Step: 14900 Progress: 14.9% Elapsed: 2:14:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.71362
[INFO] 2021-01-15 14:15:42 > Step: 15000 Progress: 15.0% Elapsed: 2:15:32 temperature: no ada_p: No Discriminator_loss: 0.00462077 Generator_loss: 2.39651
[INFO] 2021-01-15 14:16:30 > Step: 15100 Progress: 15.1% Elapsed: 2:16:21 temperature: no ada_p: No Discriminator_loss: 0.00102906 Generator_loss: 2.14175
[INFO] 2021-01-15 14:17:19 > Step: 15200 Progress: 15.2% Elapsed: 2:17:09 temperature: no ada_p: No Discriminator_loss: 1.47656 Generator_loss: 2.26019
[INFO] 2021-01-15 14:18:08 > Step: 15300 Progress: 15.3% Elapsed: 2:17:59 temperature: no ada_p: No Discriminator_loss: 0.00855294 Generator_loss: 1.84013
[INFO] 2021-01-15 14:18:57 > Step: 15400 Progress: 15.4% Elapsed: 2:18:47 temperature: no ada_p: No Discriminator_loss: 0.0071772 Generator_loss: 1.85658
[INFO] 2021-01-15 14:19:46 > Step: 15500 Progress: 15.5% Elapsed: 2:19:36 temperature: no ada_p: No Discriminator_loss: 0.574665 Generator_loss: 9.32212
[INFO] 2021-01-15 14:20:35 > Step: 15600 Progress: 15.6% Elapsed: 2:20:25 temperature: no ada_p: No Discriminator_loss: 0.0191782 Generator_loss: 1.50129
[INFO] 2021-01-15 14:21:24 > Step: 15700 Progress: 15.7% Elapsed: 2:21:14 temperature: no ada_p: No Discriminator_loss: 0.00965891 Generator_loss: 2.6534
[INFO] 2021-01-15 14:22:13 > Step: 15800 Progress: 15.8% Elapsed: 2:22:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.3025
[INFO] 2021-01-15 14:23:02 > Step: 15900 Progress: 15.9% Elapsed: 2:22:52 temperature: no ada_p: No Discriminator_loss: 0.0185092 Generator_loss: 1.4553
[INFO] 2021-01-15 14:23:51 > Step: 16000 Progress: 16.0% Elapsed: 2:23:41 temperature: no ada_p: No Discriminator_loss: 0.0169235 Generator_loss: 2.12869
[INFO] 2021-01-15 14:23:51 > Start Evaluation (16000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 14:23:51 > Calculating FID Score....
[INFO] 2021-01-15 14:24:12 > Calculating Inception Score....
[INFO] 2021-01-15 14:24:25 > Calculate F_beta Score....
[INFO] 2021-01-15 14:25:24 > Calculate Accuracies....
[INFO] 2021-01-15 14:25:29 > Calculate Accuracies....
[INFO] 2021-01-15 14:25:42 > F_8 score (Step: 16000, Using valid images): 0.14536832406432898
[INFO] 2021-01-15 14:25:42 > F_1/8 score (Step: 16000, Using valid images): 0.268924461794196
[INFO] 2021-01-15 14:25:42 > FID score (Step: 16000, Using valid moments): 155.4223312795864
[INFO] 2021-01-15 14:25:42 > Inception score (Step: 16000, 10000 generated images): 4.1831583976745605
[INFO] 2021-01-15 14:25:42 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 14:25:43 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 14:26:32 > Step: 16100 Progress: 16.1% Elapsed: 2:26:22 temperature: no ada_p: No Discriminator_loss: 0.174183 Generator_loss: 2.52187
[INFO] 2021-01-15 14:27:20 > Step: 16200 Progress: 16.2% Elapsed: 2:27:10 temperature: no ada_p: No Discriminator_loss: 0.00527062 Generator_loss: 2.20368
[INFO] 2021-01-15 14:28:09 > Step: 16300 Progress: 16.3% Elapsed: 2:27:59 temperature: no ada_p: No Discriminator_loss: 0.00453448 Generator_loss: 1.84566
[INFO] 2021-01-15 14:28:58 > Step: 16400 Progress: 16.4% Elapsed: 2:28:48 temperature: no ada_p: No Discriminator_loss: 0.00193044 Generator_loss: 2.86896
[INFO] 2021-01-15 14:29:47 > Step: 16500 Progress: 16.5% Elapsed: 2:29:37 temperature: no ada_p: No Discriminator_loss: 0.0103965 Generator_loss: 1.79111
[INFO] 2021-01-15 14:30:36 > Step: 16600 Progress: 16.6% Elapsed: 2:30:26 temperature: no ada_p: No Discriminator_loss: 0.0064009 Generator_loss: 1.94979
[INFO] 2021-01-15 14:31:25 > Step: 16700 Progress: 16.7% Elapsed: 2:31:15 temperature: no ada_p: No Discriminator_loss: 0.0703186 Generator_loss: 3.80218
[INFO] 2021-01-15 14:32:14 > Step: 16800 Progress: 16.8% Elapsed: 2:32:04 temperature: no ada_p: No Discriminator_loss: 0.00386635 Generator_loss: 1.61768
[INFO] 2021-01-15 14:33:03 > Step: 16900 Progress: 16.9% Elapsed: 2:32:53 temperature: no ada_p: No Discriminator_loss: 0.00395408 Generator_loss: 2.1298
[INFO] 2021-01-15 14:33:52 > Step: 17000 Progress: 17.0% Elapsed: 2:33:42 temperature: no ada_p: No Discriminator_loss: 0.0102922 Generator_loss: 2.78816
[INFO] 2021-01-15 14:34:40 > Step: 17100 Progress: 17.1% Elapsed: 2:34:31 temperature: no ada_p: No Discriminator_loss: 0.002394 Generator_loss: 2.10011
[INFO] 2021-01-15 14:35:30 > Step: 17200 Progress: 17.2% Elapsed: 2:35:20 temperature: no ada_p: No Discriminator_loss: 0.81998 Generator_loss: 1.79572
[INFO] 2021-01-15 14:36:18 > Step: 17300 Progress: 17.3% Elapsed: 2:36:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.41029
[INFO] 2021-01-15 14:37:07 > Step: 17400 Progress: 17.4% Elapsed: 2:36:58 temperature: no ada_p: No Discriminator_loss: 0.00461733 Generator_loss: 2.18984
[INFO] 2021-01-15 14:37:56 > Step: 17500 Progress: 17.5% Elapsed: 2:37:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.38592
[INFO] 2021-01-15 14:38:45 > Step: 17600 Progress: 17.6% Elapsed: 2:38:36 temperature: no ada_p: No Discriminator_loss: 0.0156375 Generator_loss: 1.77204
[INFO] 2021-01-15 14:39:34 > Step: 17700 Progress: 17.7% Elapsed: 2:39:24 temperature: no ada_p: No Discriminator_loss: 0.212791 Generator_loss: 1.74827
[INFO] 2021-01-15 14:40:23 > Step: 17800 Progress: 17.8% Elapsed: 2:40:13 temperature: no ada_p: No Discriminator_loss: 0.233961 Generator_loss: 2.9725
[INFO] 2021-01-15 14:41:12 > Step: 17900 Progress: 17.9% Elapsed: 2:41:02 temperature: no ada_p: No Discriminator_loss: 0.0850282 Generator_loss: 1.17736
[INFO] 2021-01-15 14:42:01 > Step: 18000 Progress: 18.0% Elapsed: 2:41:52 temperature: no ada_p: No Discriminator_loss: 0.0357995 Generator_loss: 1.82372
[INFO] 2021-01-15 14:42:01 > Start Evaluation (18000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 14:42:01 > Calculating FID Score....
[INFO] 2021-01-15 14:42:22 > Calculating Inception Score....
[INFO] 2021-01-15 14:42:35 > Calculate F_beta Score....
[INFO] 2021-01-15 14:43:36 > Calculate Accuracies....
[INFO] 2021-01-15 14:43:41 > Calculate Accuracies....
[INFO] 2021-01-15 14:43:54 > F_8 score (Step: 18000, Using valid images): 0.16386190337743492
[INFO] 2021-01-15 14:43:54 > F_1/8 score (Step: 18000, Using valid images): 0.24417091936393362
[INFO] 2021-01-15 14:43:54 > FID score (Step: 18000, Using valid moments): 154.75169669314386
[INFO] 2021-01-15 14:43:54 > Inception score (Step: 18000, 10000 generated images): 4.256519794464111
[INFO] 2021-01-15 14:43:54 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 14:43:55 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 14:44:43 > Step: 18100 Progress: 18.1% Elapsed: 2:44:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.19272
[INFO] 2021-01-15 14:45:32 > Step: 18200 Progress: 18.2% Elapsed: 2:45:22 temperature: no ada_p: No Discriminator_loss: 0.00158469 Generator_loss: 1.8871
[INFO] 2021-01-15 14:46:21 > Step: 18300 Progress: 18.3% Elapsed: 2:46:11 temperature: no ada_p: No Discriminator_loss: 0.0106579 Generator_loss: 1.57676
[INFO] 2021-01-15 14:47:10 > Step: 18400 Progress: 18.4% Elapsed: 2:47:01 temperature: no ada_p: No Discriminator_loss: 0.00104317 Generator_loss: 1.80591
[INFO] 2021-01-15 14:47:59 > Step: 18500 Progress: 18.5% Elapsed: 2:47:49 temperature: no ada_p: No Discriminator_loss: 0.0491677 Generator_loss: 2.22844
[INFO] 2021-01-15 14:48:48 > Step: 18600 Progress: 18.6% Elapsed: 2:48:38 temperature: no ada_p: No Discriminator_loss: 0.0258917 Generator_loss: 1.80099
[INFO] 2021-01-15 14:49:37 > Step: 18700 Progress: 18.7% Elapsed: 2:49:27 temperature: no ada_p: No Discriminator_loss: 0.0369926 Generator_loss: 1.90935
[INFO] 2021-01-15 14:50:26 > Step: 18800 Progress: 18.8% Elapsed: 2:50:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.8463
[INFO] 2021-01-15 14:51:15 > Step: 18900 Progress: 18.9% Elapsed: 2:51:05 temperature: no ada_p: No Discriminator_loss: 0.00225812 Generator_loss: 1.67354
[INFO] 2021-01-15 14:52:03 > Step: 19000 Progress: 19.0% Elapsed: 2:51:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.4285
[INFO] 2021-01-15 14:52:52 > Step: 19100 Progress: 19.1% Elapsed: 2:52:43 temperature: no ada_p: No Discriminator_loss: 4.00797 Generator_loss: 2.89914
[INFO] 2021-01-15 14:53:42 > Step: 19200 Progress: 19.2% Elapsed: 2:53:32 temperature: no ada_p: No Discriminator_loss: 0.00638445 Generator_loss: 1.7874
[INFO] 2021-01-15 14:54:30 > Step: 19300 Progress: 19.3% Elapsed: 2:54:21 temperature: no ada_p: No Discriminator_loss: 2.20357 Generator_loss: 1.07236
[INFO] 2021-01-15 14:55:19 > Step: 19400 Progress: 19.4% Elapsed: 2:55:09 temperature: no ada_p: No Discriminator_loss: 0.008186 Generator_loss: 1.78134
[INFO] 2021-01-15 14:56:08 > Step: 19500 Progress: 19.5% Elapsed: 2:55:58 temperature: no ada_p: No Discriminator_loss: 0.0039781 Generator_loss: 2.45872
[INFO] 2021-01-15 14:56:57 > Step: 19600 Progress: 19.6% Elapsed: 2:56:48 temperature: no ada_p: No Discriminator_loss: 0.00983332 Generator_loss: 2.31161
[INFO] 2021-01-15 14:57:46 > Step: 19700 Progress: 19.7% Elapsed: 2:57:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.18466
[INFO] 2021-01-15 14:58:35 > Step: 19800 Progress: 19.8% Elapsed: 2:58:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.90378
[INFO] 2021-01-15 14:59:24 > Step: 19900 Progress: 19.9% Elapsed: 2:59:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.20707
[INFO] 2021-01-15 15:00:13 > Step: 20000 Progress: 20.0% Elapsed: 3:00:03 temperature: no ada_p: No Discriminator_loss: 0.00656878 Generator_loss: 2.18616
[INFO] 2021-01-15 15:00:13 > Start Evaluation (20000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 15:00:13 > Calculating FID Score....
[INFO] 2021-01-15 15:00:34 > Calculating Inception Score....
[INFO] 2021-01-15 15:00:47 > Calculate F_beta Score....
[INFO] 2021-01-15 15:01:47 > Calculate Accuracies....
[INFO] 2021-01-15 15:01:52 > Calculate Accuracies....
[INFO] 2021-01-15 15:02:05 > F_8 score (Step: 20000, Using valid images): 0.12586630473089647
[INFO] 2021-01-15 15:02:05 > F_1/8 score (Step: 20000, Using valid images): 0.16090214506407147
[INFO] 2021-01-15 15:02:05 > FID score (Step: 20000, Using valid moments): 172.62124029563103
[INFO] 2021-01-15 15:02:05 > Inception score (Step: 20000, 10000 generated images): 3.5486459732055664
[INFO] 2021-01-15 15:02:05 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 15:02:06 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 15:02:55 > Step: 20100 Progress: 20.1% Elapsed: 3:02:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.69149
[INFO] 2021-01-15 15:03:43 > Step: 20200 Progress: 20.2% Elapsed: 3:03:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.79929
[INFO] 2021-01-15 15:04:32 > Step: 20300 Progress: 20.3% Elapsed: 3:04:23 temperature: no ada_p: No Discriminator_loss: 0.0637762 Generator_loss: 2.3983
[INFO] 2021-01-15 15:05:21 > Step: 20400 Progress: 20.4% Elapsed: 3:05:12 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.36188
[INFO] 2021-01-15 15:06:10 > Step: 20500 Progress: 20.5% Elapsed: 3:06:00 temperature: no ada_p: No Discriminator_loss: 0.00909586 Generator_loss: 2.07171
[INFO] 2021-01-15 15:06:59 > Step: 20600 Progress: 20.6% Elapsed: 3:06:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.92359
[INFO] 2021-01-15 15:07:48 > Step: 20700 Progress: 20.7% Elapsed: 3:07:38 temperature: no ada_p: No Discriminator_loss: 0.0107459 Generator_loss: 1.8502
[INFO] 2021-01-15 15:08:37 > Step: 20800 Progress: 20.8% Elapsed: 3:08:27 temperature: no ada_p: No Discriminator_loss: 0.0474294 Generator_loss: 2.27486
[INFO] 2021-01-15 15:09:26 > Step: 20900 Progress: 20.9% Elapsed: 3:09:16 temperature: no ada_p: No Discriminator_loss: 0.0145845 Generator_loss: 1.57929
[INFO] 2021-01-15 15:10:15 > Step: 21000 Progress: 21.0% Elapsed: 3:10:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.08295
[INFO] 2021-01-15 15:11:04 > Step: 21100 Progress: 21.1% Elapsed: 3:10:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.92011
[INFO] 2021-01-15 15:11:53 > Step: 21200 Progress: 21.2% Elapsed: 3:11:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.78742
[INFO] 2021-01-15 15:12:42 > Step: 21300 Progress: 21.3% Elapsed: 3:12:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.31323
[INFO] 2021-01-15 15:13:30 > Step: 21400 Progress: 21.4% Elapsed: 3:13:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.38303
[INFO] 2021-01-15 15:14:19 > Step: 21500 Progress: 21.5% Elapsed: 3:14:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.97193
[INFO] 2021-01-15 15:15:08 > Step: 21600 Progress: 21.6% Elapsed: 3:14:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.4579
[INFO] 2021-01-15 15:15:57 > Step: 21700 Progress: 21.7% Elapsed: 3:15:47 temperature: no ada_p: No Discriminator_loss: 0.00315591 Generator_loss: 1.81424
[INFO] 2021-01-15 15:16:46 > Step: 21800 Progress: 21.8% Elapsed: 3:16:36 temperature: no ada_p: No Discriminator_loss: 0.0163666 Generator_loss: 2.21355
[INFO] 2021-01-15 15:17:35 > Step: 21900 Progress: 21.9% Elapsed: 3:17:25 temperature: no ada_p: No Discriminator_loss: 0.0165486 Generator_loss: 1.90793
[INFO] 2021-01-15 15:18:24 > Step: 22000 Progress: 22.0% Elapsed: 3:18:14 temperature: no ada_p: No Discriminator_loss: 2.31904 Generator_loss: 1.06637
[INFO] 2021-01-15 15:18:24 > Start Evaluation (22000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 15:18:24 > Calculating FID Score....
[INFO] 2021-01-15 15:18:45 > Calculating Inception Score....
[INFO] 2021-01-15 15:18:58 > Calculate F_beta Score....
[INFO] 2021-01-15 15:19:57 > Calculate Accuracies....
[INFO] 2021-01-15 15:20:02 > Calculate Accuracies....
[INFO] 2021-01-15 15:20:14 > F_8 score (Step: 22000, Using valid images): 0.2639821039394984
[INFO] 2021-01-15 15:20:14 > F_1/8 score (Step: 22000, Using valid images): 0.16549087992380418
[INFO] 2021-01-15 15:20:14 > FID score (Step: 22000, Using valid moments): 172.00187446946785
[INFO] 2021-01-15 15:20:14 > Inception score (Step: 22000, 10000 generated images): 4.1281538009643555
[INFO] 2021-01-15 15:20:14 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 15:20:15 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 15:21:04 > Step: 22100 Progress: 22.1% Elapsed: 3:20:54 temperature: no ada_p: No Discriminator_loss: 1.12305 Generator_loss: 1.15868
[INFO] 2021-01-15 15:21:53 > Step: 22200 Progress: 22.2% Elapsed: 3:21:43 temperature: no ada_p: No Discriminator_loss: 0.0140859 Generator_loss: 2.02849
[INFO] 2021-01-15 15:22:42 > Step: 22300 Progress: 22.3% Elapsed: 3:22:32 temperature: no ada_p: No Discriminator_loss: 0.183977 Generator_loss: 2.25488
[INFO] 2021-01-15 15:23:31 > Step: 22400 Progress: 22.4% Elapsed: 3:23:21 temperature: no ada_p: No Discriminator_loss: 0.00196034 Generator_loss: 2.10545
[INFO] 2021-01-15 15:24:20 > Step: 22500 Progress: 22.5% Elapsed: 3:24:10 temperature: no ada_p: No Discriminator_loss: 0.00291497 Generator_loss: 1.70878
[INFO] 2021-01-15 15:25:08 > Step: 22600 Progress: 22.6% Elapsed: 3:24:59 temperature: no ada_p: No Discriminator_loss: 0.00143736 Generator_loss: 2.28887
[INFO] 2021-01-15 15:25:58 > Step: 22700 Progress: 22.7% Elapsed: 3:25:48 temperature: no ada_p: No Discriminator_loss: 0.0206483 Generator_loss: 1.96742
[INFO] 2021-01-15 15:26:46 > Step: 22800 Progress: 22.8% Elapsed: 3:26:37 temperature: no ada_p: No Discriminator_loss: 0.00499814 Generator_loss: 1.84814
[INFO] 2021-01-15 15:27:35 > Step: 22900 Progress: 22.9% Elapsed: 3:27:25 temperature: no ada_p: No Discriminator_loss: 0.0401479 Generator_loss: 1.81748
[INFO] 2021-01-15 15:28:24 > Step: 23000 Progress: 23.0% Elapsed: 3:28:14 temperature: no ada_p: No Discriminator_loss: 1.13222 Generator_loss: 0.338139
[INFO] 2021-01-15 15:29:13 > Step: 23100 Progress: 23.1% Elapsed: 3:29:04 temperature: no ada_p: No Discriminator_loss: 0.736942 Generator_loss: 3.29072
[INFO] 2021-01-15 15:30:02 > Step: 23200 Progress: 23.2% Elapsed: 3:29:52 temperature: no ada_p: No Discriminator_loss: 0.00075315 Generator_loss: 2.06767
[INFO] 2021-01-15 15:30:51 > Step: 23300 Progress: 23.3% Elapsed: 3:30:41 temperature: no ada_p: No Discriminator_loss: 0.00290029 Generator_loss: 1.94323
[INFO] 2021-01-15 15:31:40 > Step: 23400 Progress: 23.4% Elapsed: 3:31:30 temperature: no ada_p: No Discriminator_loss: 0.0230893 Generator_loss: 2.41522
[INFO] 2021-01-15 15:32:29 > Step: 23500 Progress: 23.5% Elapsed: 3:32:19 temperature: no ada_p: No Discriminator_loss: 1.15107 Generator_loss: 1.00962
[INFO] 2021-01-15 15:33:18 > Step: 23600 Progress: 23.6% Elapsed: 3:33:08 temperature: no ada_p: No Discriminator_loss: 0.022256 Generator_loss: 1.67435
[INFO] 2021-01-15 15:34:07 > Step: 23700 Progress: 23.7% Elapsed: 3:33:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.52655
[INFO] 2021-01-15 15:34:56 > Step: 23800 Progress: 23.8% Elapsed: 3:34:46 temperature: no ada_p: No Discriminator_loss: 0.0248571 Generator_loss: 1.89341
[INFO] 2021-01-15 15:35:45 > Step: 23900 Progress: 23.9% Elapsed: 3:35:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.58311
[INFO] 2021-01-15 15:36:33 > Step: 24000 Progress: 24.0% Elapsed: 3:36:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.19871
[INFO] 2021-01-15 15:36:33 > Start Evaluation (24000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 15:36:33 > Calculating FID Score....
[INFO] 2021-01-15 15:36:55 > Calculating Inception Score....
[INFO] 2021-01-15 15:37:07 > Calculate F_beta Score....
[INFO] 2021-01-15 15:38:07 > Calculate Accuracies....
[INFO] 2021-01-15 15:38:12 > Calculate Accuracies....
[INFO] 2021-01-15 15:38:26 > F_8 score (Step: 24000, Using valid images): 0.16588462692625516
[INFO] 2021-01-15 15:38:26 > F_1/8 score (Step: 24000, Using valid images): 0.22384282549085469
[INFO] 2021-01-15 15:38:26 > FID score (Step: 24000, Using valid moments): 161.55156180402332
[INFO] 2021-01-15 15:38:26 > Inception score (Step: 24000, 10000 generated images): 3.8344128131866455
[INFO] 2021-01-15 15:38:26 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 15:38:27 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 15:39:15 > Step: 24100 Progress: 24.1% Elapsed: 3:39:06 temperature: no ada_p: No Discriminator_loss: 0.00615433 Generator_loss: 1.89254
[INFO] 2021-01-15 15:40:05 > Step: 24200 Progress: 24.2% Elapsed: 3:39:55 temperature: no ada_p: No Discriminator_loss: 0.105582 Generator_loss: 2.57522
[INFO] 2021-01-15 15:40:53 > Step: 24300 Progress: 24.3% Elapsed: 3:40:44 temperature: no ada_p: No Discriminator_loss: 0.155734 Generator_loss: 2.66102
[INFO] 2021-01-15 15:41:42 > Step: 24400 Progress: 24.4% Elapsed: 3:41:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.78062
[INFO] 2021-01-15 15:42:31 > Step: 24500 Progress: 24.5% Elapsed: 3:42:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.23471
[INFO] 2021-01-15 15:43:20 > Step: 24600 Progress: 24.6% Elapsed: 3:43:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.58767
[INFO] 2021-01-15 15:44:09 > Step: 24700 Progress: 24.7% Elapsed: 3:43:59 temperature: no ada_p: No Discriminator_loss: 0.206002 Generator_loss: 3.59841
[INFO] 2021-01-15 15:44:58 > Step: 24800 Progress: 24.8% Elapsed: 3:44:48 temperature: no ada_p: No Discriminator_loss: 0.0125265 Generator_loss: 1.97424
[INFO] 2021-01-15 15:45:47 > Step: 24900 Progress: 24.9% Elapsed: 3:45:37 temperature: no ada_p: No Discriminator_loss: 0.00921817 Generator_loss: 1.66916
[INFO] 2021-01-15 15:46:36 > Step: 25000 Progress: 25.0% Elapsed: 3:46:26 temperature: no ada_p: No Discriminator_loss: 0.623339 Generator_loss: 3.72538
[INFO] 2021-01-15 15:47:25 > Step: 25100 Progress: 25.1% Elapsed: 3:47:15 temperature: no ada_p: No Discriminator_loss: 0.308539 Generator_loss: -0.294413
[INFO] 2021-01-15 15:48:13 > Step: 25200 Progress: 25.2% Elapsed: 3:48:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.09045
[INFO] 2021-01-15 15:49:02 > Step: 25300 Progress: 25.3% Elapsed: 3:48:52 temperature: no ada_p: No Discriminator_loss: 0.0168164 Generator_loss: 1.92383
[INFO] 2021-01-15 15:49:51 > Step: 25400 Progress: 25.4% Elapsed: 3:49:42 temperature: no ada_p: No Discriminator_loss: 0.0306935 Generator_loss: 1.88517
[INFO] 2021-01-15 15:50:40 > Step: 25500 Progress: 25.5% Elapsed: 3:50:30 temperature: no ada_p: No Discriminator_loss: 2.9027 Generator_loss: 2.94945
[INFO] 2021-01-15 15:51:29 > Step: 25600 Progress: 25.6% Elapsed: 3:51:19 temperature: no ada_p: No Discriminator_loss: 0.00413007 Generator_loss: 2.19766
[INFO] 2021-01-15 15:52:18 > Step: 25700 Progress: 25.7% Elapsed: 3:52:08 temperature: no ada_p: No Discriminator_loss: 0.0304592 Generator_loss: 2.63688
[INFO] 2021-01-15 15:53:07 > Step: 25800 Progress: 25.8% Elapsed: 3:52:57 temperature: no ada_p: No Discriminator_loss: 0.0106203 Generator_loss: 1.60853
[INFO] 2021-01-15 15:53:56 > Step: 25900 Progress: 25.9% Elapsed: 3:53:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.36258
[INFO] 2021-01-15 15:54:45 > Step: 26000 Progress: 26.0% Elapsed: 3:54:35 temperature: no ada_p: No Discriminator_loss: 0.00662196 Generator_loss: 1.68849
[INFO] 2021-01-15 15:54:45 > Start Evaluation (26000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 15:54:45 > Calculating FID Score....
[INFO] 2021-01-15 15:55:05 > Calculating Inception Score....
[INFO] 2021-01-15 15:55:18 > Calculate F_beta Score....
[INFO] 2021-01-15 15:56:17 > Calculate Accuracies....
[INFO] 2021-01-15 15:56:22 > Calculate Accuracies....
[INFO] 2021-01-15 15:56:35 > F_8 score (Step: 26000, Using valid images): 0.028065267864189294
[INFO] 2021-01-15 15:56:35 > F_1/8 score (Step: 26000, Using valid images): 0.15994470567892888
[INFO] 2021-01-15 15:56:35 > FID score (Step: 26000, Using valid moments): 173.22946551217478
[INFO] 2021-01-15 15:56:35 > Inception score (Step: 26000, 10000 generated images): 3.8928403854370117
[INFO] 2021-01-15 15:56:35 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 15:56:36 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 15:57:25 > Step: 26100 Progress: 26.1% Elapsed: 3:57:15 temperature: no ada_p: No Discriminator_loss: 0.0823607 Generator_loss: 1.36045
[INFO] 2021-01-15 15:58:14 > Step: 26200 Progress: 26.2% Elapsed: 3:58:04 temperature: no ada_p: No Discriminator_loss: 0.00240534 Generator_loss: 2.00576
[INFO] 2021-01-15 15:59:03 > Step: 26300 Progress: 26.3% Elapsed: 3:58:53 temperature: no ada_p: No Discriminator_loss: 0.00623268 Generator_loss: 2.41458
[INFO] 2021-01-15 15:59:52 > Step: 26400 Progress: 26.4% Elapsed: 3:59:42 temperature: no ada_p: No Discriminator_loss: 0.452652 Generator_loss: -0.728033
[INFO] 2021-01-15 16:00:40 > Step: 26500 Progress: 26.5% Elapsed: 4:00:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.37034
[INFO] 2021-01-15 16:01:30 > Step: 26600 Progress: 26.6% Elapsed: 4:01:20 temperature: no ada_p: No Discriminator_loss: 0.00283034 Generator_loss: 2.3915
[INFO] 2021-01-15 16:02:18 > Step: 26700 Progress: 26.7% Elapsed: 4:02:09 temperature: no ada_p: No Discriminator_loss: 0.0128303 Generator_loss: 1.9662
[INFO] 2021-01-15 16:03:07 > Step: 26800 Progress: 26.8% Elapsed: 4:02:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.26564
[INFO] 2021-01-15 16:03:56 > Step: 26900 Progress: 26.9% Elapsed: 4:03:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.0508
[INFO] 2021-01-15 16:04:46 > Step: 27000 Progress: 27.0% Elapsed: 4:04:36 temperature: no ada_p: No Discriminator_loss: 0.0444965 Generator_loss: 2.31593
[INFO] 2021-01-15 16:05:35 > Step: 27100 Progress: 27.1% Elapsed: 4:05:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.31126
[INFO] 2021-01-15 16:06:24 > Step: 27200 Progress: 27.2% Elapsed: 4:06:14 temperature: no ada_p: No Discriminator_loss: 0.0213221 Generator_loss: 2.10014
[INFO] 2021-01-15 16:07:12 > Step: 27300 Progress: 27.3% Elapsed: 4:07:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.9885
[INFO] 2021-01-15 16:08:02 > Step: 27400 Progress: 27.4% Elapsed: 4:07:52 temperature: no ada_p: No Discriminator_loss: 0.00118982 Generator_loss: 2.5773
[INFO] 2021-01-15 16:08:51 > Step: 27500 Progress: 27.5% Elapsed: 4:08:41 temperature: no ada_p: No Discriminator_loss: 0.00767295 Generator_loss: 1.68413
[INFO] 2021-01-15 16:09:40 > Step: 27600 Progress: 27.6% Elapsed: 4:09:30 temperature: no ada_p: No Discriminator_loss: 0.0321035 Generator_loss: 2.48438
[INFO] 2021-01-15 16:10:29 > Step: 27700 Progress: 27.7% Elapsed: 4:10:19 temperature: no ada_p: No Discriminator_loss: 2.1274 Generator_loss: 1.68482
[INFO] 2021-01-15 16:11:18 > Step: 27800 Progress: 27.8% Elapsed: 4:11:08 temperature: no ada_p: No Discriminator_loss: 0.00187765 Generator_loss: 2.28877
[INFO] 2021-01-15 16:12:07 > Step: 27900 Progress: 27.9% Elapsed: 4:11:57 temperature: no ada_p: No Discriminator_loss: 0.927104 Generator_loss: 1.9417
[INFO] 2021-01-15 16:12:56 > Step: 28000 Progress: 28.0% Elapsed: 4:12:46 temperature: no ada_p: No Discriminator_loss: 0.0536415 Generator_loss: 2.32084
[INFO] 2021-01-15 16:12:56 > Start Evaluation (28000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 16:12:56 > Calculating FID Score....
[INFO] 2021-01-15 16:13:17 > Calculating Inception Score....
[INFO] 2021-01-15 16:13:30 > Calculate F_beta Score....
[INFO] 2021-01-15 16:14:29 > Calculate Accuracies....
[INFO] 2021-01-15 16:14:34 > Calculate Accuracies....
[INFO] 2021-01-15 16:14:47 > F_8 score (Step: 28000, Using valid images): 0.2733731681929485
[INFO] 2021-01-15 16:14:47 > F_1/8 score (Step: 28000, Using valid images): 0.17421623447109813
[INFO] 2021-01-15 16:14:47 > FID score (Step: 28000, Using valid moments): 159.9773298301639
[INFO] 2021-01-15 16:14:47 > Inception score (Step: 28000, 10000 generated images): 4.093897342681885
[INFO] 2021-01-15 16:14:47 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 16:14:49 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 16:15:38 > Step: 28100 Progress: 28.1% Elapsed: 4:15:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.2943
[INFO] 2021-01-15 16:16:26 > Step: 28200 Progress: 28.2% Elapsed: 4:16:17 temperature: no ada_p: No Discriminator_loss: 0.0328199 Generator_loss: 2.27703
[INFO] 2021-01-15 16:17:15 > Step: 28300 Progress: 28.3% Elapsed: 4:17:05 temperature: no ada_p: No Discriminator_loss: 0.00599261 Generator_loss: 1.73722
[INFO] 2021-01-15 16:18:04 > Step: 28400 Progress: 28.4% Elapsed: 4:17:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.84818
[INFO] 2021-01-15 16:18:53 > Step: 28500 Progress: 28.5% Elapsed: 4:18:43 temperature: no ada_p: No Discriminator_loss: 0.00346506 Generator_loss: 1.46659
[INFO] 2021-01-15 16:19:42 > Step: 28600 Progress: 28.6% Elapsed: 4:19:32 temperature: no ada_p: No Discriminator_loss: 0.0116447 Generator_loss: 2.24868
[INFO] 2021-01-15 16:20:31 > Step: 28700 Progress: 28.7% Elapsed: 4:20:21 temperature: no ada_p: No Discriminator_loss: 0.00207853 Generator_loss: 1.9543
[INFO] 2021-01-15 16:21:19 > Step: 28800 Progress: 28.8% Elapsed: 4:21:10 temperature: no ada_p: No Discriminator_loss: 0.292278 Generator_loss: 3.54475
[INFO] 2021-01-15 16:22:09 > Step: 28900 Progress: 28.9% Elapsed: 4:21:59 temperature: no ada_p: No Discriminator_loss: 0.00369017 Generator_loss: 1.86122
[INFO] 2021-01-15 16:22:58 > Step: 29000 Progress: 29.0% Elapsed: 4:22:48 temperature: no ada_p: No Discriminator_loss: 0.0630843 Generator_loss: 1.77946
[INFO] 2021-01-15 16:23:46 > Step: 29100 Progress: 29.1% Elapsed: 4:23:37 temperature: no ada_p: No Discriminator_loss: 0.0560461 Generator_loss: 2.23754
[INFO] 2021-01-15 16:24:35 > Step: 29200 Progress: 29.2% Elapsed: 4:24:25 temperature: no ada_p: No Discriminator_loss: 3.0203 Generator_loss: 2.95922
[INFO] 2021-01-15 16:25:24 > Step: 29300 Progress: 29.3% Elapsed: 4:25:14 temperature: no ada_p: No Discriminator_loss: 0.0136818 Generator_loss: 2.00692
[INFO] 2021-01-15 16:26:13 > Step: 29400 Progress: 29.4% Elapsed: 4:26:03 temperature: no ada_p: No Discriminator_loss: 0.00261704 Generator_loss: 1.78314
[INFO] 2021-01-15 16:27:02 > Step: 29500 Progress: 29.5% Elapsed: 4:26:52 temperature: no ada_p: No Discriminator_loss: 2.97948 Generator_loss: 2.44958
[INFO] 2021-01-15 16:27:50 > Step: 29600 Progress: 29.6% Elapsed: 4:27:41 temperature: no ada_p: No Discriminator_loss: 0.00255382 Generator_loss: 1.71884
[INFO] 2021-01-15 16:28:40 > Step: 29700 Progress: 29.7% Elapsed: 4:28:30 temperature: no ada_p: No Discriminator_loss: 0.0349796 Generator_loss: 2.07382
[INFO] 2021-01-15 16:29:28 > Step: 29800 Progress: 29.8% Elapsed: 4:29:19 temperature: no ada_p: No Discriminator_loss: 0.00359641 Generator_loss: 2.42608
[INFO] 2021-01-15 16:30:17 > Step: 29900 Progress: 29.9% Elapsed: 4:30:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.15559
[INFO] 2021-01-15 16:31:06 > Step: 30000 Progress: 30.0% Elapsed: 4:30:56 temperature: no ada_p: No Discriminator_loss: 0.349588 Generator_loss: 3.10386
[INFO] 2021-01-15 16:31:06 > Start Evaluation (30000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 16:31:06 > Calculating FID Score....
[INFO] 2021-01-15 16:31:27 > Calculating Inception Score....
[INFO] 2021-01-15 16:31:40 > Calculate F_beta Score....
[INFO] 2021-01-15 16:32:39 > Calculate Accuracies....
[INFO] 2021-01-15 16:32:45 > Calculate Accuracies....
[INFO] 2021-01-15 16:32:58 > F_8 score (Step: 30000, Using valid images): 0.09450915033984443
[INFO] 2021-01-15 16:32:58 > F_1/8 score (Step: 30000, Using valid images): 0.10086577328530003
[INFO] 2021-01-15 16:32:58 > FID score (Step: 30000, Using valid moments): 210.6631994856499
[INFO] 2021-01-15 16:32:58 > Inception score (Step: 30000, 10000 generated images): 3.219435453414917
[INFO] 2021-01-15 16:32:58 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 16:32:59 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 16:33:48 > Step: 30100 Progress: 30.1% Elapsed: 4:33:38 temperature: no ada_p: No Discriminator_loss: 0.658809 Generator_loss: 1.28067
[INFO] 2021-01-15 16:34:37 > Step: 30200 Progress: 30.2% Elapsed: 4:34:27 temperature: no ada_p: No Discriminator_loss: 0.00276619 Generator_loss: 1.91676
[INFO] 2021-01-15 16:35:26 > Step: 30300 Progress: 30.3% Elapsed: 4:35:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.04753
[INFO] 2021-01-15 16:36:14 > Step: 30400 Progress: 30.4% Elapsed: 4:36:05 temperature: no ada_p: No Discriminator_loss: 0.00705855 Generator_loss: 1.90771
[INFO] 2021-01-15 16:37:03 > Step: 30500 Progress: 30.5% Elapsed: 4:36:54 temperature: no ada_p: No Discriminator_loss: 0.000109546 Generator_loss: 2.25923
[INFO] 2021-01-15 16:37:52 > Step: 30600 Progress: 30.6% Elapsed: 4:37:43 temperature: no ada_p: No Discriminator_loss: 0.806554 Generator_loss: 3.25564
[INFO] 2021-01-15 16:38:41 > Step: 30700 Progress: 30.7% Elapsed: 4:38:31 temperature: no ada_p: No Discriminator_loss: 0.0170731 Generator_loss: 2.56473
[INFO] 2021-01-15 16:39:30 > Step: 30800 Progress: 30.8% Elapsed: 4:39:20 temperature: no ada_p: No Discriminator_loss: 0.0292786 Generator_loss: 2.47071
[INFO] 2021-01-15 16:40:19 > Step: 30900 Progress: 30.9% Elapsed: 4:40:10 temperature: no ada_p: No Discriminator_loss: 0.00110879 Generator_loss: 1.94663
[INFO] 2021-01-15 16:41:08 > Step: 31000 Progress: 31.0% Elapsed: 4:40:58 temperature: no ada_p: No Discriminator_loss: 1.10066 Generator_loss: 1.59514
[INFO] 2021-01-15 16:41:57 > Step: 31100 Progress: 31.1% Elapsed: 4:41:47 temperature: no ada_p: No Discriminator_loss: 0.00306632 Generator_loss: 2.09062
[INFO] 2021-01-15 16:42:45 > Step: 31200 Progress: 31.2% Elapsed: 4:42:36 temperature: no ada_p: No Discriminator_loss: 0.00235884 Generator_loss: 2.2193
[INFO] 2021-01-15 16:43:35 > Step: 31300 Progress: 31.3% Elapsed: 4:43:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.34109
[INFO] 2021-01-15 16:44:24 > Step: 31400 Progress: 31.4% Elapsed: 4:44:14 temperature: no ada_p: No Discriminator_loss: 0.0273735 Generator_loss: 2.52932
[INFO] 2021-01-15 16:45:12 > Step: 31500 Progress: 31.5% Elapsed: 4:45:03 temperature: no ada_p: No Discriminator_loss: 0.0199488 Generator_loss: 1.92572
[INFO] 2021-01-15 16:46:02 > Step: 31600 Progress: 31.6% Elapsed: 4:45:52 temperature: no ada_p: No Discriminator_loss: 0.00171908 Generator_loss: 2.06103
[INFO] 2021-01-15 16:46:50 > Step: 31700 Progress: 31.7% Elapsed: 4:46:41 temperature: no ada_p: No Discriminator_loss: 0.0652176 Generator_loss: 2.53774
[INFO] 2021-01-15 16:47:39 > Step: 31800 Progress: 31.8% Elapsed: 4:47:30 temperature: no ada_p: No Discriminator_loss: 0.0162012 Generator_loss: 2.58761
[INFO] 2021-01-15 16:48:28 > Step: 31900 Progress: 31.9% Elapsed: 4:48:18 temperature: no ada_p: No Discriminator_loss: 0.00663735 Generator_loss: 2.77471
[INFO] 2021-01-15 16:49:17 > Step: 32000 Progress: 32.0% Elapsed: 4:49:08 temperature: no ada_p: No Discriminator_loss: 7.50134e-06 Generator_loss: 2.33316
[INFO] 2021-01-15 16:49:17 > Start Evaluation (32000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 16:49:17 > Calculating FID Score....
[INFO] 2021-01-15 16:49:38 > Calculating Inception Score....
[INFO] 2021-01-15 16:49:51 > Calculate F_beta Score....
[INFO] 2021-01-15 16:50:49 > Calculate Accuracies....
[INFO] 2021-01-15 16:50:54 > Calculate Accuracies....
[INFO] 2021-01-15 16:51:06 > F_8 score (Step: 32000, Using valid images): 0.16185592708811702
[INFO] 2021-01-15 16:51:06 > F_1/8 score (Step: 32000, Using valid images): 0.11746784575164043
[INFO] 2021-01-15 16:51:06 > FID score (Step: 32000, Using valid moments): 194.01159865713169
[INFO] 2021-01-15 16:51:06 > Inception score (Step: 32000, 10000 generated images): 3.7379543781280518
[INFO] 2021-01-15 16:51:06 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 16:51:07 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 16:51:56 > Step: 32100 Progress: 32.1% Elapsed: 4:51:46 temperature: no ada_p: No Discriminator_loss: 0.0753914 Generator_loss: 2.25022
[INFO] 2021-01-15 16:52:45 > Step: 32200 Progress: 32.2% Elapsed: 4:52:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.57698
[INFO] 2021-01-15 16:53:33 > Step: 32300 Progress: 32.3% Elapsed: 4:53:24 temperature: no ada_p: No Discriminator_loss: 0.238552 Generator_loss: 3.68232
[INFO] 2021-01-15 16:54:23 > Step: 32400 Progress: 32.4% Elapsed: 4:54:13 temperature: no ada_p: No Discriminator_loss: 0.0734678 Generator_loss: 2.3915
[INFO] 2021-01-15 16:55:11 > Step: 32500 Progress: 32.5% Elapsed: 4:55:02 temperature: no ada_p: No Discriminator_loss: 0.00974108 Generator_loss: 2.51524
[INFO] 2021-01-15 16:56:00 > Step: 32600 Progress: 32.6% Elapsed: 4:55:50 temperature: no ada_p: No Discriminator_loss: 0.000656848 Generator_loss: 1.91633
[INFO] 2021-01-15 16:56:49 > Step: 32700 Progress: 32.7% Elapsed: 4:56:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.17577
[INFO] 2021-01-15 16:57:38 > Step: 32800 Progress: 32.8% Elapsed: 4:57:29 temperature: no ada_p: No Discriminator_loss: 0.0493371 Generator_loss: 3.02514
[INFO] 2021-01-15 16:58:27 > Step: 32900 Progress: 32.9% Elapsed: 4:58:17 temperature: no ada_p: No Discriminator_loss: 0.0513599 Generator_loss: 2.69386
[INFO] 2021-01-15 16:59:16 > Step: 33000 Progress: 33.0% Elapsed: 4:59:06 temperature: no ada_p: No Discriminator_loss: 0.000487565 Generator_loss: 2.39103
[INFO] 2021-01-15 17:00:04 > Step: 33100 Progress: 33.1% Elapsed: 4:59:55 temperature: no ada_p: No Discriminator_loss: 0.109932 Generator_loss: 3.82482
[INFO] 2021-01-15 17:00:54 > Step: 33200 Progress: 33.2% Elapsed: 5:00:44 temperature: no ada_p: No Discriminator_loss: 0.022914 Generator_loss: 1.82455
[INFO] 2021-01-15 17:01:42 > Step: 33300 Progress: 33.3% Elapsed: 5:01:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.87076
[INFO] 2021-01-15 17:02:31 > Step: 33400 Progress: 33.4% Elapsed: 5:02:21 temperature: no ada_p: No Discriminator_loss: 0.0129991 Generator_loss: 1.85811
[INFO] 2021-01-15 17:03:20 > Step: 33500 Progress: 33.5% Elapsed: 5:03:10 temperature: no ada_p: No Discriminator_loss: 0.0243088 Generator_loss: 2.41569
[INFO] 2021-01-15 17:04:09 > Step: 33600 Progress: 33.6% Elapsed: 5:04:00 temperature: no ada_p: No Discriminator_loss: 0.000370776 Generator_loss: 1.7771
[INFO] 2021-01-15 17:04:58 > Step: 33700 Progress: 33.7% Elapsed: 5:04:48 temperature: no ada_p: No Discriminator_loss: 0.00155968 Generator_loss: 2.05036
[INFO] 2021-01-15 17:05:47 > Step: 33800 Progress: 33.8% Elapsed: 5:05:37 temperature: no ada_p: No Discriminator_loss: 0.00534367 Generator_loss: 2.0442
[INFO] 2021-01-15 17:06:36 > Step: 33900 Progress: 33.9% Elapsed: 5:06:26 temperature: no ada_p: No Discriminator_loss: 0.0161347 Generator_loss: 2.25567
[INFO] 2021-01-15 17:07:25 > Step: 34000 Progress: 34.0% Elapsed: 5:07:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.82796
[INFO] 2021-01-15 17:07:25 > Start Evaluation (34000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 17:07:25 > Calculating FID Score....
[INFO] 2021-01-15 17:07:46 > Calculating Inception Score....
[INFO] 2021-01-15 17:07:59 > Calculate F_beta Score....
[INFO] 2021-01-15 17:08:57 > Calculate Accuracies....
[INFO] 2021-01-15 17:09:02 > Calculate Accuracies....
[INFO] 2021-01-15 17:09:15 > F_8 score (Step: 34000, Using valid images): 0.15915412410496596
[INFO] 2021-01-15 17:09:15 > F_1/8 score (Step: 34000, Using valid images): 0.13287684808790212
[INFO] 2021-01-15 17:09:15 > FID score (Step: 34000, Using valid moments): 179.13587393509204
[INFO] 2021-01-15 17:09:15 > Inception score (Step: 34000, 10000 generated images): 3.9261884689331055
[INFO] 2021-01-15 17:09:15 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 17:09:17 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 17:10:05 > Step: 34100 Progress: 34.1% Elapsed: 5:09:55 temperature: no ada_p: No Discriminator_loss: 0.0019787 Generator_loss: 1.89871
[INFO] 2021-01-15 17:10:54 > Step: 34200 Progress: 34.2% Elapsed: 5:10:44 temperature: no ada_p: No Discriminator_loss: 0.00051794 Generator_loss: 1.9041
[INFO] 2021-01-15 17:11:43 > Step: 34300 Progress: 34.3% Elapsed: 5:11:33 temperature: no ada_p: No Discriminator_loss: 0.181209 Generator_loss: 3.95305
[INFO] 2021-01-15 17:12:32 > Step: 34400 Progress: 34.4% Elapsed: 5:12:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.08099
[INFO] 2021-01-15 17:13:21 > Step: 34500 Progress: 34.5% Elapsed: 5:13:11 temperature: no ada_p: No Discriminator_loss: 0.000629933 Generator_loss: 1.91043
[INFO] 2021-01-15 17:14:09 > Step: 34600 Progress: 34.6% Elapsed: 5:14:00 temperature: no ada_p: No Discriminator_loss: 0.0175253 Generator_loss: 2.5137
[INFO] 2021-01-15 17:14:58 > Step: 34700 Progress: 34.7% Elapsed: 5:14:48 temperature: no ada_p: No Discriminator_loss: 0.0180815 Generator_loss: 2.81469
[INFO] 2021-01-15 17:15:47 > Step: 34800 Progress: 34.8% Elapsed: 5:15:38 temperature: no ada_p: No Discriminator_loss: 1.45552 Generator_loss: 0.471029
[INFO] 2021-01-15 17:16:36 > Step: 34900 Progress: 34.9% Elapsed: 5:16:26 temperature: no ada_p: No Discriminator_loss: 0.00769952 Generator_loss: 2.0929
[INFO] 2021-01-15 17:17:25 > Step: 35000 Progress: 35.0% Elapsed: 5:17:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.39031
[INFO] 2021-01-15 17:18:14 > Step: 35100 Progress: 35.1% Elapsed: 5:18:04 temperature: no ada_p: No Discriminator_loss: 0.0121983 Generator_loss: 1.5735
[INFO] 2021-01-15 17:19:03 > Step: 35200 Progress: 35.2% Elapsed: 5:18:53 temperature: no ada_p: No Discriminator_loss: 0.00119001 Generator_loss: 1.72199
[INFO] 2021-01-15 17:19:52 > Step: 35300 Progress: 35.3% Elapsed: 5:19:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.82964
[INFO] 2021-01-15 17:20:41 > Step: 35400 Progress: 35.4% Elapsed: 5:20:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.59374
[INFO] 2021-01-15 17:21:30 > Step: 35500 Progress: 35.5% Elapsed: 5:21:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.82096
[INFO] 2021-01-15 17:22:19 > Step: 35600 Progress: 35.6% Elapsed: 5:22:09 temperature: no ada_p: No Discriminator_loss: 0.000289977 Generator_loss: 1.98703
[INFO] 2021-01-15 17:23:07 > Step: 35700 Progress: 35.7% Elapsed: 5:22:58 temperature: no ada_p: No Discriminator_loss: 0.00785745 Generator_loss: 1.84539
[INFO] 2021-01-15 17:23:56 > Step: 35800 Progress: 35.8% Elapsed: 5:23:46 temperature: no ada_p: No Discriminator_loss: 0.000121613 Generator_loss: 2.01409
[INFO] 2021-01-15 17:24:45 > Step: 35900 Progress: 35.9% Elapsed: 5:24:36 temperature: no ada_p: No Discriminator_loss: 0.0017179 Generator_loss: 1.99412
[INFO] 2021-01-15 17:25:34 > Step: 36000 Progress: 36.0% Elapsed: 5:25:24 temperature: no ada_p: No Discriminator_loss: 0.00396605 Generator_loss: 2.31289
[INFO] 2021-01-15 17:25:34 > Start Evaluation (36000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 17:25:34 > Calculating FID Score....
[INFO] 2021-01-15 17:25:55 > Calculating Inception Score....
[INFO] 2021-01-15 17:26:08 > Calculate F_beta Score....
[INFO] 2021-01-15 17:27:08 > Calculate Accuracies....
[INFO] 2021-01-15 17:27:13 > Calculate Accuracies....
[INFO] 2021-01-15 17:27:26 > F_8 score (Step: 36000, Using valid images): 0.18968406905294447
[INFO] 2021-01-15 17:27:26 > F_1/8 score (Step: 36000, Using valid images): 0.2168511692969368
[INFO] 2021-01-15 17:27:26 > FID score (Step: 36000, Using valid moments): 154.9070359194351
[INFO] 2021-01-15 17:27:26 > Inception score (Step: 36000, 10000 generated images): 4.620459079742432
[INFO] 2021-01-15 17:27:26 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 17:27:27 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 17:28:15 > Step: 36100 Progress: 36.1% Elapsed: 5:28:06 temperature: no ada_p: No Discriminator_loss: 0.0023941 Generator_loss: 1.95978
[INFO] 2021-01-15 17:29:04 > Step: 36200 Progress: 36.2% Elapsed: 5:28:54 temperature: no ada_p: No Discriminator_loss: 4.06286 Generator_loss: 2.595
[INFO] 2021-01-15 17:29:53 > Step: 36300 Progress: 36.3% Elapsed: 5:29:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.8744
[INFO] 2021-01-15 17:30:42 > Step: 36400 Progress: 36.4% Elapsed: 5:30:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.65383
[INFO] 2021-01-15 17:31:31 > Step: 36500 Progress: 36.5% Elapsed: 5:31:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.83482
[INFO] 2021-01-15 17:32:20 > Step: 36600 Progress: 36.6% Elapsed: 5:32:10 temperature: no ada_p: No Discriminator_loss: 0.000131985 Generator_loss: 1.78708
[INFO] 2021-01-15 17:33:09 > Step: 36700 Progress: 36.7% Elapsed: 5:32:59 temperature: no ada_p: No Discriminator_loss: 0.0154567 Generator_loss: 2.02955
[INFO] 2021-01-15 17:33:58 > Step: 36800 Progress: 36.8% Elapsed: 5:33:48 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.27276
[INFO] 2021-01-15 17:34:46 > Step: 36900 Progress: 36.9% Elapsed: 5:34:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.55268
[INFO] 2021-01-15 17:35:35 > Step: 37000 Progress: 37.0% Elapsed: 5:35:25 temperature: no ada_p: No Discriminator_loss: 0.0072442 Generator_loss: 2.73881
[INFO] 2021-01-15 17:36:24 > Step: 37100 Progress: 37.1% Elapsed: 5:36:14 temperature: no ada_p: No Discriminator_loss: 0.0164239 Generator_loss: 2.53676
[INFO] 2021-01-15 17:37:13 > Step: 37200 Progress: 37.2% Elapsed: 5:37:03 temperature: no ada_p: No Discriminator_loss: 0.00304857 Generator_loss: 1.58875
[INFO] 2021-01-15 17:38:02 > Step: 37300 Progress: 37.3% Elapsed: 5:37:52 temperature: no ada_p: No Discriminator_loss: 0.00228796 Generator_loss: 1.91043
[INFO] 2021-01-15 17:38:51 > Step: 37400 Progress: 37.4% Elapsed: 5:38:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.56339
[INFO] 2021-01-15 17:39:40 > Step: 37500 Progress: 37.5% Elapsed: 5:39:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.81689
[INFO] 2021-01-15 17:40:29 > Step: 37600 Progress: 37.6% Elapsed: 5:40:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.49499
[INFO] 2021-01-15 17:41:17 > Step: 37700 Progress: 37.7% Elapsed: 5:41:08 temperature: no ada_p: No Discriminator_loss: 0.00154826 Generator_loss: 2.32598
[INFO] 2021-01-15 17:42:06 > Step: 37800 Progress: 37.8% Elapsed: 5:41:57 temperature: no ada_p: No Discriminator_loss: 0.00564047 Generator_loss: 2.50726
[INFO] 2021-01-15 17:42:56 > Step: 37900 Progress: 37.9% Elapsed: 5:42:46 temperature: no ada_p: No Discriminator_loss: 0.00615927 Generator_loss: 1.76964
[INFO] 2021-01-15 17:43:45 > Step: 38000 Progress: 38.0% Elapsed: 5:43:35 temperature: no ada_p: No Discriminator_loss: 0.00957432 Generator_loss: 1.57739
[INFO] 2021-01-15 17:43:45 > Start Evaluation (38000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 17:43:45 > Calculating FID Score....
[INFO] 2021-01-15 17:44:06 > Calculating Inception Score....
[INFO] 2021-01-15 17:44:19 > Calculate F_beta Score....
[INFO] 2021-01-15 17:45:16 > Calculate Accuracies....
[INFO] 2021-01-15 17:45:21 > Calculate Accuracies....
[INFO] 2021-01-15 17:45:34 > F_8 score (Step: 38000, Using valid images): 0.21699599804569858
[INFO] 2021-01-15 17:45:34 > F_1/8 score (Step: 38000, Using valid images): 0.1431166198385871
[INFO] 2021-01-15 17:45:34 > FID score (Step: 38000, Using valid moments): 162.49430118051464
[INFO] 2021-01-15 17:45:34 > Inception score (Step: 38000, 10000 generated images): 4.36871337890625
[INFO] 2021-01-15 17:45:34 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 17:45:36 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 17:46:24 > Step: 38100 Progress: 38.1% Elapsed: 5:46:14 temperature: no ada_p: No Discriminator_loss: 0.00305472 Generator_loss: 1.89674
[INFO] 2021-01-15 17:47:13 > Step: 38200 Progress: 38.2% Elapsed: 5:47:03 temperature: no ada_p: No Discriminator_loss: 0.00195201 Generator_loss: 1.36715
[INFO] 2021-01-15 17:48:02 > Step: 38300 Progress: 38.3% Elapsed: 5:47:52 temperature: no ada_p: No Discriminator_loss: 0.00167019 Generator_loss: 1.46263
[INFO] 2021-01-15 17:48:51 > Step: 38400 Progress: 38.4% Elapsed: 5:48:41 temperature: no ada_p: No Discriminator_loss: 0.013276 Generator_loss: 1.83415
[INFO] 2021-01-15 17:49:40 > Step: 38500 Progress: 38.5% Elapsed: 5:49:30 temperature: no ada_p: No Discriminator_loss: 0.419235 Generator_loss: 1.49314
[INFO] 2021-01-15 17:50:28 > Step: 38600 Progress: 38.6% Elapsed: 5:50:19 temperature: no ada_p: No Discriminator_loss: 4.08352 Generator_loss: 2.8945
[INFO] 2021-01-15 17:51:18 > Step: 38700 Progress: 38.7% Elapsed: 5:51:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.29159
[INFO] 2021-01-15 17:52:06 > Step: 38800 Progress: 38.8% Elapsed: 5:51:57 temperature: no ada_p: No Discriminator_loss: 0.015023 Generator_loss: 1.75577
[INFO] 2021-01-15 17:52:55 > Step: 38900 Progress: 38.9% Elapsed: 5:52:45 temperature: no ada_p: No Discriminator_loss: 0.131729 Generator_loss: 1.58176
[INFO] 2021-01-15 17:53:44 > Step: 39000 Progress: 39.0% Elapsed: 5:53:34 temperature: no ada_p: No Discriminator_loss: 0.00815249 Generator_loss: 1.85981
[INFO] 2021-01-15 17:54:33 > Step: 39100 Progress: 39.1% Elapsed: 5:54:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.04606
[INFO] 2021-01-15 17:55:22 > Step: 39200 Progress: 39.2% Elapsed: 5:55:12 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.13894
[INFO] 2021-01-15 17:56:11 > Step: 39300 Progress: 39.3% Elapsed: 5:56:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.28939
[INFO] 2021-01-15 17:57:00 > Step: 39400 Progress: 39.4% Elapsed: 5:56:50 temperature: no ada_p: No Discriminator_loss: 0.00809606 Generator_loss: 2.89069
[INFO] 2021-01-15 17:57:49 > Step: 39500 Progress: 39.5% Elapsed: 5:57:39 temperature: no ada_p: No Discriminator_loss: 5.01352e-05 Generator_loss: 1.40829
[INFO] 2021-01-15 17:58:38 > Step: 39600 Progress: 39.6% Elapsed: 5:58:28 temperature: no ada_p: No Discriminator_loss: 3.976e-05 Generator_loss: 2.31981
[INFO] 2021-01-15 17:59:26 > Step: 39700 Progress: 39.7% Elapsed: 5:59:17 temperature: no ada_p: No Discriminator_loss: 0.00224192 Generator_loss: 2.38312
[INFO] 2021-01-15 18:00:16 > Step: 39800 Progress: 39.8% Elapsed: 6:00:06 temperature: no ada_p: No Discriminator_loss: 0.000137372 Generator_loss: 2.54563
[INFO] 2021-01-15 18:01:04 > Step: 39900 Progress: 39.9% Elapsed: 6:00:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.28689
[INFO] 2021-01-15 18:01:53 > Step: 40000 Progress: 40.0% Elapsed: 6:01:44 temperature: no ada_p: No Discriminator_loss: 0.00909022 Generator_loss: 1.83637
[INFO] 2021-01-15 18:01:53 > Start Evaluation (40000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 18:01:53 > Calculating FID Score....
[INFO] 2021-01-15 18:02:14 > Calculating Inception Score....
[INFO] 2021-01-15 18:02:27 > Calculate F_beta Score....
[INFO] 2021-01-15 18:03:26 > Calculate Accuracies....
[INFO] 2021-01-15 18:03:31 > Calculate Accuracies....
[INFO] 2021-01-15 18:03:44 > F_8 score (Step: 40000, Using valid images): 0.042391355557660625
[INFO] 2021-01-15 18:03:44 > F_1/8 score (Step: 40000, Using valid images): 0.06078829101813093
[INFO] 2021-01-15 18:03:44 > FID score (Step: 40000, Using valid moments): 201.67820711545085
[INFO] 2021-01-15 18:03:44 > Inception score (Step: 40000, 10000 generated images): 2.8315935134887695
[INFO] 2021-01-15 18:03:44 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 18:03:45 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 18:04:34 > Step: 40100 Progress: 40.1% Elapsed: 6:04:24 temperature: no ada_p: No Discriminator_loss: 0.00962402 Generator_loss: 1.63284
[INFO] 2021-01-15 18:05:23 > Step: 40200 Progress: 40.2% Elapsed: 6:05:13 temperature: no ada_p: No Discriminator_loss: 0.0035707 Generator_loss: 1.70792
[INFO] 2021-01-15 18:06:11 > Step: 40300 Progress: 40.3% Elapsed: 6:06:02 temperature: no ada_p: No Discriminator_loss: 0.016237 Generator_loss: 2.32269
[INFO] 2021-01-15 18:07:00 > Step: 40400 Progress: 40.4% Elapsed: 6:06:51 temperature: no ada_p: No Discriminator_loss: 0.00134957 Generator_loss: 1.59883
[INFO] 2021-01-15 18:07:49 > Step: 40500 Progress: 40.5% Elapsed: 6:07:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.48824
[INFO] 2021-01-15 18:08:38 > Step: 40600 Progress: 40.6% Elapsed: 6:08:29 temperature: no ada_p: No Discriminator_loss: 0.000444178 Generator_loss: 2.57767
[INFO] 2021-01-15 18:09:27 > Step: 40700 Progress: 40.7% Elapsed: 6:09:17 temperature: no ada_p: No Discriminator_loss: 0.0157886 Generator_loss: 2.10119
[INFO] 2021-01-15 18:10:16 > Step: 40800 Progress: 40.8% Elapsed: 6:10:06 temperature: no ada_p: No Discriminator_loss: 0.0514111 Generator_loss: 3.42498
[INFO] 2021-01-15 18:11:04 > Step: 40900 Progress: 40.9% Elapsed: 6:10:55 temperature: no ada_p: No Discriminator_loss: 0.0370207 Generator_loss: 1.90671
[INFO] 2021-01-15 18:11:54 > Step: 41000 Progress: 41.0% Elapsed: 6:11:44 temperature: no ada_p: No Discriminator_loss: 3.04992e-05 Generator_loss: 1.57269
[INFO] 2021-01-15 18:12:43 > Step: 41100 Progress: 41.1% Elapsed: 6:12:33 temperature: no ada_p: No Discriminator_loss: 0.00243991 Generator_loss: 1.49321
[INFO] 2021-01-15 18:13:31 > Step: 41200 Progress: 41.2% Elapsed: 6:13:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.8804
[INFO] 2021-01-15 18:14:20 > Step: 41300 Progress: 41.3% Elapsed: 6:14:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.88066
[INFO] 2021-01-15 18:15:09 > Step: 41400 Progress: 41.4% Elapsed: 6:15:00 temperature: no ada_p: No Discriminator_loss: 0.00799083 Generator_loss: 2.34766
[INFO] 2021-01-15 18:15:58 > Step: 41500 Progress: 41.5% Elapsed: 6:15:48 temperature: no ada_p: No Discriminator_loss: 0.0225919 Generator_loss: 2.34578
[INFO] 2021-01-15 18:16:47 > Step: 41600 Progress: 41.6% Elapsed: 6:16:37 temperature: no ada_p: No Discriminator_loss: 0.0334627 Generator_loss: 1.2966
[INFO] 2021-01-15 18:17:36 > Step: 41700 Progress: 41.7% Elapsed: 6:17:26 temperature: no ada_p: No Discriminator_loss: 0.300289 Generator_loss: 4.63765
[INFO] 2021-01-15 18:18:25 > Step: 41800 Progress: 41.8% Elapsed: 6:18:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.00435
[INFO] 2021-01-15 18:19:14 > Step: 41900 Progress: 41.9% Elapsed: 6:19:04 temperature: no ada_p: No Discriminator_loss: 0.0128739 Generator_loss: 1.40382
[INFO] 2021-01-15 18:20:03 > Step: 42000 Progress: 42.0% Elapsed: 6:19:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.10142
[INFO] 2021-01-15 18:20:03 > Start Evaluation (42000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 18:20:03 > Calculating FID Score....
[INFO] 2021-01-15 18:20:24 > Calculating Inception Score....
[INFO] 2021-01-15 18:20:36 > Calculate F_beta Score....
[INFO] 2021-01-15 18:21:35 > Calculate Accuracies....
[INFO] 2021-01-15 18:21:41 > Calculate Accuracies....
[INFO] 2021-01-15 18:21:54 > F_8 score (Step: 42000, Using valid images): 0.1886096785397711
[INFO] 2021-01-15 18:21:54 > F_1/8 score (Step: 42000, Using valid images): 0.12267415579015328
[INFO] 2021-01-15 18:21:54 > FID score (Step: 42000, Using valid moments): 174.46907871148215
[INFO] 2021-01-15 18:21:54 > Inception score (Step: 42000, 10000 generated images): 3.907186269760132
[INFO] 2021-01-15 18:21:54 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 18:21:55 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 18:22:43 > Step: 42100 Progress: 42.1% Elapsed: 6:22:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.88373
[INFO] 2021-01-15 18:23:32 > Step: 42200 Progress: 42.2% Elapsed: 6:23:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.25647
[INFO] 2021-01-15 18:24:21 > Step: 42300 Progress: 42.3% Elapsed: 6:24:11 temperature: no ada_p: No Discriminator_loss: 0.000902439 Generator_loss: 1.65207
[INFO] 2021-01-15 18:25:10 > Step: 42400 Progress: 42.4% Elapsed: 6:25:00 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.65082
[INFO] 2021-01-15 18:25:59 > Step: 42500 Progress: 42.5% Elapsed: 6:25:49 temperature: no ada_p: No Discriminator_loss: 0.013002 Generator_loss: 1.87638
[INFO] 2021-01-15 18:26:48 > Step: 42600 Progress: 42.6% Elapsed: 6:26:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.12803
[INFO] 2021-01-15 18:27:37 > Step: 42700 Progress: 42.7% Elapsed: 6:27:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.91146
[INFO] 2021-01-15 18:28:25 > Step: 42800 Progress: 42.8% Elapsed: 6:28:16 temperature: no ada_p: No Discriminator_loss: 0.00249674 Generator_loss: 2.05607
[INFO] 2021-01-15 18:29:14 > Step: 42900 Progress: 42.9% Elapsed: 6:29:04 temperature: no ada_p: No Discriminator_loss: 0.000928408 Generator_loss: 1.51356
[INFO] 2021-01-15 18:30:03 > Step: 43000 Progress: 43.0% Elapsed: 6:29:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.58296
[INFO] 2021-01-15 18:30:52 > Step: 43100 Progress: 43.1% Elapsed: 6:30:42 temperature: no ada_p: No Discriminator_loss: 0.000666754 Generator_loss: 1.33586
[INFO] 2021-01-15 18:31:41 > Step: 43200 Progress: 43.2% Elapsed: 6:31:31 temperature: no ada_p: No Discriminator_loss: 0.0261251 Generator_loss: 1.8925
[INFO] 2021-01-15 18:32:30 > Step: 43300 Progress: 43.3% Elapsed: 6:32:21 temperature: no ada_p: No Discriminator_loss: 0.000733697 Generator_loss: 1.51817
[INFO] 2021-01-15 18:33:19 > Step: 43400 Progress: 43.4% Elapsed: 6:33:09 temperature: no ada_p: No Discriminator_loss: 0.000238462 Generator_loss: 1.66507
[INFO] 2021-01-15 18:34:08 > Step: 43500 Progress: 43.5% Elapsed: 6:33:58 temperature: no ada_p: No Discriminator_loss: 0.0185334 Generator_loss: 1.71112
[INFO] 2021-01-15 18:34:57 > Step: 43600 Progress: 43.6% Elapsed: 6:34:47 temperature: no ada_p: No Discriminator_loss: 9.85428e-05 Generator_loss: 1.66666
[INFO] 2021-01-15 18:35:46 > Step: 43700 Progress: 43.7% Elapsed: 6:35:36 temperature: no ada_p: No Discriminator_loss: 0.0074392 Generator_loss: 1.77267
[INFO] 2021-01-15 18:36:35 > Step: 43800 Progress: 43.8% Elapsed: 6:36:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.55031
[INFO] 2021-01-15 18:37:24 > Step: 43900 Progress: 43.9% Elapsed: 6:37:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.01269
[INFO] 2021-01-15 18:38:12 > Step: 44000 Progress: 44.0% Elapsed: 6:38:03 temperature: no ada_p: No Discriminator_loss: 0.00172262 Generator_loss: 1.49696
[INFO] 2021-01-15 18:38:12 > Start Evaluation (44000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 18:38:12 > Calculating FID Score....
[INFO] 2021-01-15 18:38:33 > Calculating Inception Score....
[INFO] 2021-01-15 18:38:46 > Calculate F_beta Score....
[INFO] 2021-01-15 18:39:45 > Calculate Accuracies....
[INFO] 2021-01-15 18:39:51 > Calculate Accuracies....
[INFO] 2021-01-15 18:40:03 > F_8 score (Step: 44000, Using valid images): 0.12385214661531532
[INFO] 2021-01-15 18:40:03 > F_1/8 score (Step: 44000, Using valid images): 0.04814502632849401
[INFO] 2021-01-15 18:40:03 > FID score (Step: 44000, Using valid moments): 200.67057758412642
[INFO] 2021-01-15 18:40:03 > Inception score (Step: 44000, 10000 generated images): 3.93649959564209
[INFO] 2021-01-15 18:40:03 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 18:40:05 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 18:40:54 > Step: 44100 Progress: 44.1% Elapsed: 6:40:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.82364
[INFO] 2021-01-15 18:41:42 > Step: 44200 Progress: 44.2% Elapsed: 6:41:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.88899
[INFO] 2021-01-15 18:42:31 > Step: 44300 Progress: 44.3% Elapsed: 6:42:21 temperature: no ada_p: No Discriminator_loss: 0.00577659 Generator_loss: 1.66003
[INFO] 2021-01-15 18:43:20 > Step: 44400 Progress: 44.4% Elapsed: 6:43:10 temperature: no ada_p: No Discriminator_loss: 0.00552 Generator_loss: 1.52755
[INFO] 2021-01-15 18:44:09 > Step: 44500 Progress: 44.5% Elapsed: 6:43:59 temperature: no ada_p: No Discriminator_loss: 0.011778 Generator_loss: 1.87114
[INFO] 2021-01-15 18:44:58 > Step: 44600 Progress: 44.6% Elapsed: 6:44:48 temperature: no ada_p: No Discriminator_loss: 0.00321657 Generator_loss: 1.55913
[INFO] 2021-01-15 18:45:46 > Step: 44700 Progress: 44.7% Elapsed: 6:45:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.80359
[INFO] 2021-01-15 18:46:35 > Step: 44800 Progress: 44.8% Elapsed: 6:46:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.37883
[INFO] 2021-01-15 18:47:24 > Step: 44900 Progress: 44.9% Elapsed: 6:47:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.39719
[INFO] 2021-01-15 18:48:13 > Step: 45000 Progress: 45.0% Elapsed: 6:48:03 temperature: no ada_p: No Discriminator_loss: 0.00964862 Generator_loss: 2.06352
[INFO] 2021-01-15 18:49:02 > Step: 45100 Progress: 45.1% Elapsed: 6:48:52 temperature: no ada_p: No Discriminator_loss: 0.00154118 Generator_loss: 2.21569
[INFO] 2021-01-15 18:49:51 > Step: 45200 Progress: 45.2% Elapsed: 6:49:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.98563
[INFO] 2021-01-15 18:50:40 > Step: 45300 Progress: 45.3% Elapsed: 6:50:30 temperature: no ada_p: No Discriminator_loss: 0.00148104 Generator_loss: 2.2962
[INFO] 2021-01-15 18:51:29 > Step: 45400 Progress: 45.4% Elapsed: 6:51:19 temperature: no ada_p: No Discriminator_loss: 0.00884667 Generator_loss: 1.70873
[INFO] 2021-01-15 18:52:17 > Step: 45500 Progress: 45.5% Elapsed: 6:52:08 temperature: no ada_p: No Discriminator_loss: 0.0090843 Generator_loss: 2.02357
[INFO] 2021-01-15 18:53:06 > Step: 45600 Progress: 45.6% Elapsed: 6:52:57 temperature: no ada_p: No Discriminator_loss: 0.00371516 Generator_loss: 2.143
[INFO] 2021-01-15 18:53:56 > Step: 45700 Progress: 45.7% Elapsed: 6:53:46 temperature: no ada_p: No Discriminator_loss: 0.0111878 Generator_loss: 2.30706
[INFO] 2021-01-15 18:54:44 > Step: 45800 Progress: 45.8% Elapsed: 6:54:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.73541
[INFO] 2021-01-15 18:55:33 > Step: 45900 Progress: 45.9% Elapsed: 6:55:23 temperature: no ada_p: No Discriminator_loss: 0.666606 Generator_loss: 1.22122
[INFO] 2021-01-15 18:56:22 > Step: 46000 Progress: 46.0% Elapsed: 6:56:12 temperature: no ada_p: No Discriminator_loss: 0.00249614 Generator_loss: 1.87426
[INFO] 2021-01-15 18:56:22 > Start Evaluation (46000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 18:56:22 > Calculating FID Score....
[INFO] 2021-01-15 18:56:43 > Calculating Inception Score....
[INFO] 2021-01-15 18:56:56 > Calculate F_beta Score....
[INFO] 2021-01-15 18:57:53 > Calculate Accuracies....
[INFO] 2021-01-15 18:57:58 > Calculate Accuracies....
[INFO] 2021-01-15 18:58:10 > F_8 score (Step: 46000, Using valid images): 0.20977087204813888
[INFO] 2021-01-15 18:58:10 > F_1/8 score (Step: 46000, Using valid images): 0.13557518463359985
[INFO] 2021-01-15 18:58:10 > FID score (Step: 46000, Using valid moments): 189.696105265607
[INFO] 2021-01-15 18:58:10 > Inception score (Step: 46000, 10000 generated images): 3.7883920669555664
[INFO] 2021-01-15 18:58:10 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 18:58:11 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 18:59:00 > Step: 46100 Progress: 46.1% Elapsed: 6:58:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.14538
[INFO] 2021-01-15 18:59:49 > Step: 46200 Progress: 46.2% Elapsed: 6:59:39 temperature: no ada_p: No Discriminator_loss: 0.00149646 Generator_loss: 2.10223
[INFO] 2021-01-15 19:00:38 > Step: 46300 Progress: 46.3% Elapsed: 7:00:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.65936
[INFO] 2021-01-15 19:01:27 > Step: 46400 Progress: 46.4% Elapsed: 7:01:17 temperature: no ada_p: No Discriminator_loss: 0.027273 Generator_loss: 2.59536
[INFO] 2021-01-15 19:02:16 > Step: 46500 Progress: 46.5% Elapsed: 7:02:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.87735
[INFO] 2021-01-15 19:03:04 > Step: 46600 Progress: 46.6% Elapsed: 7:02:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.08221
[INFO] 2021-01-15 19:03:53 > Step: 46700 Progress: 46.7% Elapsed: 7:03:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.53985
[INFO] 2021-01-15 19:04:42 > Step: 46800 Progress: 46.8% Elapsed: 7:04:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.91237
[INFO] 2021-01-15 19:05:31 > Step: 46900 Progress: 46.9% Elapsed: 7:05:22 temperature: no ada_p: No Discriminator_loss: 0.020674 Generator_loss: 2.1711
[INFO] 2021-01-15 19:06:20 > Step: 47000 Progress: 47.0% Elapsed: 7:06:10 temperature: no ada_p: No Discriminator_loss: 1.20159e-05 Generator_loss: 2.22108
[INFO] 2021-01-15 19:07:09 > Step: 47100 Progress: 47.1% Elapsed: 7:06:59 temperature: no ada_p: No Discriminator_loss: 0.00415303 Generator_loss: 1.54667
[INFO] 2021-01-15 19:07:58 > Step: 47200 Progress: 47.2% Elapsed: 7:07:48 temperature: no ada_p: No Discriminator_loss: 0.00587575 Generator_loss: 1.85662
[INFO] 2021-01-15 19:08:47 > Step: 47300 Progress: 47.3% Elapsed: 7:08:37 temperature: no ada_p: No Discriminator_loss: 0.00189769 Generator_loss: 2.30161
[INFO] 2021-01-15 19:09:36 > Step: 47400 Progress: 47.4% Elapsed: 7:09:26 temperature: no ada_p: No Discriminator_loss: 0.000674267 Generator_loss: 2.28616
[INFO] 2021-01-15 19:10:25 > Step: 47500 Progress: 47.5% Elapsed: 7:10:15 temperature: no ada_p: No Discriminator_loss: 0.00647456 Generator_loss: 1.85001
[INFO] 2021-01-15 19:11:14 > Step: 47600 Progress: 47.6% Elapsed: 7:11:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.0337
[INFO] 2021-01-15 19:12:03 > Step: 47700 Progress: 47.7% Elapsed: 7:11:53 temperature: no ada_p: No Discriminator_loss: 0.0101507 Generator_loss: 2.20296
[INFO] 2021-01-15 19:12:51 > Step: 47800 Progress: 47.8% Elapsed: 7:12:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.6857
[INFO] 2021-01-15 19:13:40 > Step: 47900 Progress: 47.9% Elapsed: 7:13:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.0191
[INFO] 2021-01-15 19:14:29 > Step: 48000 Progress: 48.0% Elapsed: 7:14:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.54614
[INFO] 2021-01-15 19:14:29 > Start Evaluation (48000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 19:14:29 > Calculating FID Score....
[INFO] 2021-01-15 19:14:50 > Calculating Inception Score....
[INFO] 2021-01-15 19:15:03 > Calculate F_beta Score....
[INFO] 2021-01-15 19:16:03 > Calculate Accuracies....
[INFO] 2021-01-15 19:16:08 > Calculate Accuracies....
[INFO] 2021-01-15 19:16:20 > F_8 score (Step: 48000, Using valid images): 0.14180599636640778
[INFO] 2021-01-15 19:16:20 > F_1/8 score (Step: 48000, Using valid images): 0.07492981752611269
[INFO] 2021-01-15 19:16:20 > FID score (Step: 48000, Using valid moments): 176.3957838091864
[INFO] 2021-01-15 19:16:20 > Inception score (Step: 48000, 10000 generated images): 3.871683120727539
[INFO] 2021-01-15 19:16:20 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 19:16:22 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 19:17:10 > Step: 48100 Progress: 48.1% Elapsed: 7:17:00 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.17339
[INFO] 2021-01-15 19:17:59 > Step: 48200 Progress: 48.2% Elapsed: 7:17:49 temperature: no ada_p: No Discriminator_loss: 0.0316643 Generator_loss: 2.47205
[INFO] 2021-01-15 19:18:48 > Step: 48300 Progress: 48.3% Elapsed: 7:18:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.78787
[INFO] 2021-01-15 19:19:37 > Step: 48400 Progress: 48.4% Elapsed: 7:19:27 temperature: no ada_p: No Discriminator_loss: 9.5791e-05 Generator_loss: 1.93755
[INFO] 2021-01-15 19:20:25 > Step: 48500 Progress: 48.5% Elapsed: 7:20:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.08494
[INFO] 2021-01-15 19:21:14 > Step: 48600 Progress: 48.6% Elapsed: 7:21:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.86586
[INFO] 2021-01-15 19:22:03 > Step: 48700 Progress: 48.7% Elapsed: 7:21:53 temperature: no ada_p: No Discriminator_loss: 0.0127603 Generator_loss: 2.25678
[INFO] 2021-01-15 19:22:52 > Step: 48800 Progress: 48.8% Elapsed: 7:22:42 temperature: no ada_p: No Discriminator_loss: 0.00591503 Generator_loss: 1.85846
[INFO] 2021-01-15 19:23:41 > Step: 48900 Progress: 48.9% Elapsed: 7:23:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.08652
[INFO] 2021-01-15 19:24:30 > Step: 49000 Progress: 49.0% Elapsed: 7:24:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.69977
[INFO] 2021-01-15 19:25:18 > Step: 49100 Progress: 49.1% Elapsed: 7:25:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.087
[INFO] 2021-01-15 19:26:08 > Step: 49200 Progress: 49.2% Elapsed: 7:25:58 temperature: no ada_p: No Discriminator_loss: 0.412642 Generator_loss: 1.01317
[INFO] 2021-01-15 19:26:56 > Step: 49300 Progress: 49.3% Elapsed: 7:26:47 temperature: no ada_p: No Discriminator_loss: 0.0153868 Generator_loss: 2.17986
[INFO] 2021-01-15 19:27:45 > Step: 49400 Progress: 49.4% Elapsed: 7:27:35 temperature: no ada_p: No Discriminator_loss: 0.0590367 Generator_loss: 3.41111
[INFO] 2021-01-15 19:28:34 > Step: 49500 Progress: 49.5% Elapsed: 7:28:24 temperature: no ada_p: No Discriminator_loss: 0.0129253 Generator_loss: 2.51508
[INFO] 2021-01-15 19:29:23 > Step: 49600 Progress: 49.6% Elapsed: 7:29:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.63802
[INFO] 2021-01-15 19:30:12 > Step: 49700 Progress: 49.7% Elapsed: 7:30:02 temperature: no ada_p: No Discriminator_loss: 0.00117339 Generator_loss: 2.6486
[INFO] 2021-01-15 19:31:01 > Step: 49800 Progress: 49.8% Elapsed: 7:30:51 temperature: no ada_p: No Discriminator_loss: 0.0504543 Generator_loss: 3.22335
[INFO] 2021-01-15 19:31:49 > Step: 49900 Progress: 49.9% Elapsed: 7:31:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.70171
[INFO] 2021-01-15 19:32:39 > Step: 50000 Progress: 50.0% Elapsed: 7:32:29 temperature: no ada_p: No Discriminator_loss: 0.000825427 Generator_loss: 2.37289
[INFO] 2021-01-15 19:32:39 > Start Evaluation (50000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 19:32:39 > Calculating FID Score....
[INFO] 2021-01-15 19:33:00 > Calculating Inception Score....
[INFO] 2021-01-15 19:33:13 > Calculate F_beta Score....
[INFO] 2021-01-15 19:34:11 > Calculate Accuracies....
[INFO] 2021-01-15 19:34:16 > Calculate Accuracies....
[INFO] 2021-01-15 19:34:29 > F_8 score (Step: 50000, Using valid images): 0.15534186673605485
[INFO] 2021-01-15 19:34:29 > F_1/8 score (Step: 50000, Using valid images): 0.06383093810407284
[INFO] 2021-01-15 19:34:29 > FID score (Step: 50000, Using valid moments): 181.2528583838967
[INFO] 2021-01-15 19:34:29 > Inception score (Step: 50000, 10000 generated images): 3.042736291885376
[INFO] 2021-01-15 19:34:29 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 19:34:30 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 19:35:19 > Step: 50100 Progress: 50.1% Elapsed: 7:35:09 temperature: no ada_p: No Discriminator_loss: 0.0202787 Generator_loss: 3.08575
[INFO] 2021-01-15 19:36:07 > Step: 50200 Progress: 50.2% Elapsed: 7:35:58 temperature: no ada_p: No Discriminator_loss: 0.000219079 Generator_loss: 2.55034
[INFO] 2021-01-15 19:36:56 > Step: 50300 Progress: 50.3% Elapsed: 7:36:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.62866
[INFO] 2021-01-15 19:37:45 > Step: 50400 Progress: 50.4% Elapsed: 7:37:35 temperature: no ada_p: No Discriminator_loss: 1.65657e-05 Generator_loss: 1.89465
[INFO] 2021-01-15 19:38:34 > Step: 50500 Progress: 50.5% Elapsed: 7:38:24 temperature: no ada_p: No Discriminator_loss: 0.00573823 Generator_loss: 2.33354
[INFO] 2021-01-15 19:39:22 > Step: 50600 Progress: 50.6% Elapsed: 7:39:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.81667
[INFO] 2021-01-15 19:40:11 > Step: 50700 Progress: 50.7% Elapsed: 7:40:01 temperature: no ada_p: No Discriminator_loss: 0.00159224 Generator_loss: 2.12427
[INFO] 2021-01-15 19:41:01 > Step: 50800 Progress: 50.8% Elapsed: 7:40:51 temperature: no ada_p: No Discriminator_loss: 0.00873248 Generator_loss: 1.99989
[INFO] 2021-01-15 19:41:49 > Step: 50900 Progress: 50.9% Elapsed: 7:41:40 temperature: no ada_p: No Discriminator_loss: 0.00156892 Generator_loss: 3.32303
[INFO] 2021-01-15 19:42:38 > Step: 51000 Progress: 51.0% Elapsed: 7:42:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.33185
[INFO] 2021-01-15 19:43:27 > Step: 51100 Progress: 51.1% Elapsed: 7:43:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.15832
[INFO] 2021-01-15 19:44:16 > Step: 51200 Progress: 51.2% Elapsed: 7:44:06 temperature: no ada_p: No Discriminator_loss: 0.0150201 Generator_loss: 2.4337
[INFO] 2021-01-15 19:45:05 > Step: 51300 Progress: 51.3% Elapsed: 7:44:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.45619
[INFO] 2021-01-15 19:45:54 > Step: 51400 Progress: 51.4% Elapsed: 7:45:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.29588
[INFO] 2021-01-15 19:46:43 > Step: 51500 Progress: 51.5% Elapsed: 7:46:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.93292
[INFO] 2021-01-15 19:47:32 > Step: 51600 Progress: 51.6% Elapsed: 7:47:22 temperature: no ada_p: No Discriminator_loss: 0.11879 Generator_loss: 1.32027
[INFO] 2021-01-15 19:48:20 > Step: 51700 Progress: 51.7% Elapsed: 7:48:11 temperature: no ada_p: No Discriminator_loss: 0.00335862 Generator_loss: 1.80726
[INFO] 2021-01-15 19:49:09 > Step: 51800 Progress: 51.8% Elapsed: 7:48:59 temperature: no ada_p: No Discriminator_loss: 0.000175132 Generator_loss: 2.33222
[INFO] 2021-01-15 19:49:58 > Step: 51900 Progress: 51.9% Elapsed: 7:49:49 temperature: no ada_p: No Discriminator_loss: 0.000713368 Generator_loss: 2.15457
[INFO] 2021-01-15 19:50:47 > Step: 52000 Progress: 52.0% Elapsed: 7:50:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.97303
[INFO] 2021-01-15 19:50:47 > Start Evaluation (52000 Step): ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 19:50:47 > Calculating FID Score....
[INFO] 2021-01-15 19:51:08 > Calculating Inception Score....
[INFO] 2021-01-15 19:51:21 > Calculate F_beta Score....
[INFO] 2021-01-15 19:52:20 > Calculate Accuracies....
[INFO] 2021-01-15 19:52:26 > Calculate Accuracies....
[INFO] 2021-01-15 19:52:38 > F_8 score (Step: 52000, Using valid images): 0.1796379158230945
[INFO] 2021-01-15 19:52:39 > F_1/8 score (Step: 52000, Using valid images): 0.13095356756868407
[INFO] 2021-01-15 19:52:39 > FID score (Step: 52000, Using valid moments): 176.161789803555
[INFO] 2021-01-15 19:52:39 > Inception score (Step: 52000, 10000 generated images): 3.942397117614746
[INFO] 2021-01-15 19:52:39 > Best FID score (Step: 6000, Using valid moments): 89.17457937655888
[INFO] 2021-01-15 19:52:40 > Save model to checkpoints/ProjGAN-train-2021_01_15_11_59_49
[INFO] 2021-01-15 19:53:28 > Step: 52100 Progress: 52.1% Elapsed: 7:53:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.10287
[INFO] 2021-01-15 19:54:17 > Step: 52200 Progress: 52.2% Elapsed: 7:54:07 temperature: no ada_p: No Discriminator_loss: 0.0263265 Generator_loss: 2.05489
[INFO] 2021-01-15 19:55:06 > Step: 52300 Progress: 52.3% Elapsed: 7:54:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.39215
[INFO] 2021-01-15 19:55:55 > Step: 52400 Progress: 52.4% Elapsed: 7:55:45 temperature: no ada_p: No Discriminator_loss: 0.01229 Generator_loss: 2.67365
[INFO] 2021-01-15 19:56:44 > Step: 52500 Progress: 52.5% Elapsed: 7:56:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.10561
[INFO] 2021-01-15 19:57:32 > Step: 52600 Progress: 52.6% Elapsed: 7:57:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.86275
[INFO] 2021-01-15 19:58:21 > Step: 52700 Progress: 52.7% Elapsed: 7:58:12 temperature: no ada_p: No Discriminator_loss: 0.00295594 Generator_loss: 1.8145
[INFO] 2021-01-15 19:59:10 > Step: 52800 Progress: 52.8% Elapsed: 7:59:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.67303
[INFO] 2021-01-15 19:59:59 > Step: 52900 Progress: 52.9% Elapsed: 7:59:49 temperature: no ada_p: No Discriminator_loss: 0.00491168 Generator_loss: 2.53048