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BigGAN-train-2021_01_15_14_48_48.log
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BigGAN-train-2021_01_15_14_48_48.log
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[INFO] 2021-01-15 14:48:48 > Run name : BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 14:48:48 > {'config_path': 'src/configs/CIFAR10/BigGAN.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': 'test'}
[INFO] 2021-01-15 14:48:48 > {'data_processing': {'dataset_name': 'cifar10', 'data_path': './data/cifar10', 'img_size': 32, 'num_classes': 10, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'ProjGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 2, 'attention_after_nth_dis_block': 1, 'z_dim': 80, 'shared_dim': 128, 'g_conv_dim': 96, 'd_conv_dim': 96, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 64, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 0.0002, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.5, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 5, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': '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': True, 'ema_decay': 0.9999, 'ema_start': 1000}}}
[INFO] 2021-01-15 14:48:48 > Load train datasets...
[INFO] 2021-01-15 14:48:50 > Train dataset size : 50000
[INFO] 2021-01-15 14:48:50 > Load test datasets...
[INFO] 2021-01-15 14:48:51 > Eval dataset size : 10000
[INFO] 2021-01-15 14:48:51 > Build model...
[INFO] 2021-01-15 14:48:51 > Modules are located on models.big_resnet.
[INFO] 2021-01-15 14:48:54 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-01-15 14:48:54 > Number of parameters: 9416196
[INFO] 2021-01-15 14:48:54 > Generator(
(linear0): Linear(in_features=20, out_features=6144, bias=True)
(shared): Embedding(10, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(192, 384, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(384, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-15 14:48:54 > Number of parameters: 2415170
[INFO] 2021-01-15 14:48:54 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=192, out_features=1, bias=True)
(embedding): Embedding(10, 192)
)
[INFO] 2021-01-15 14:48:59 > Start training....
[INFO] 2021-01-15 14:49:40 > Step: 100 Progress: 0.1% Elapsed: 0:00:41 temperature: no ada_p: No Discriminator_loss: 0.251267 Generator_loss: 1.32045
[INFO] 2021-01-15 14:50:20 > Step: 200 Progress: 0.2% Elapsed: 0:01:21 temperature: no ada_p: No Discriminator_loss: 1.16313 Generator_loss: 0.380824
[INFO] 2021-01-15 14:51:00 > Step: 300 Progress: 0.3% Elapsed: 0:02:01 temperature: no ada_p: No Discriminator_loss: 0.945894 Generator_loss: 0.141984
[INFO] 2021-01-15 14:51:41 > Step: 400 Progress: 0.4% Elapsed: 0:02:42 temperature: no ada_p: No Discriminator_loss: 2.04168 Generator_loss: 2.0127
[INFO] 2021-01-15 14:52:22 > Step: 500 Progress: 0.5% Elapsed: 0:03:23 temperature: no ada_p: No Discriminator_loss: 1.2065 Generator_loss: 1.01314
[INFO] 2021-01-15 14:53:02 > Step: 600 Progress: 0.6% Elapsed: 0:04:03 temperature: no ada_p: No Discriminator_loss: 1.05658 Generator_loss: 1.43915
[INFO] 2021-01-15 14:53:43 > Step: 700 Progress: 0.7% Elapsed: 0:04:44 temperature: no ada_p: No Discriminator_loss: 1.24357 Generator_loss: 2.24903
[INFO] 2021-01-15 14:54:25 > Step: 800 Progress: 0.8% Elapsed: 0:05:26 temperature: no ada_p: No Discriminator_loss: 0.842158 Generator_loss: 0.262416
[INFO] 2021-01-15 14:55:05 > Step: 900 Progress: 0.9% Elapsed: 0:06:06 temperature: no ada_p: No Discriminator_loss: 0.904109 Generator_loss: 1.10404
[INFO] 2021-01-15 14:55:46 > Step: 1000 Progress: 1.0% Elapsed: 0:06:47 temperature: no ada_p: No Discriminator_loss: 1.77057 Generator_loss: 2.5899
[INFO] 2021-01-15 14:56:27 > Step: 1100 Progress: 1.1% Elapsed: 0:07:28 temperature: no ada_p: No Discriminator_loss: 1.35698 Generator_loss: 0.544684
[INFO] 2021-01-15 14:57:07 > Step: 1200 Progress: 1.2% Elapsed: 0:08:08 temperature: no ada_p: No Discriminator_loss: 0.831131 Generator_loss: 0.484966
[INFO] 2021-01-15 14:57:48 > Step: 1300 Progress: 1.3% Elapsed: 0:08:49 temperature: no ada_p: No Discriminator_loss: 0.826253 Generator_loss: 1.31965
[INFO] 2021-01-15 14:58:28 > Step: 1400 Progress: 1.4% Elapsed: 0:09:29 temperature: no ada_p: No Discriminator_loss: 0.735546 Generator_loss: 0.499553
[INFO] 2021-01-15 14:59:09 > Step: 1500 Progress: 1.5% Elapsed: 0:10:10 temperature: no ada_p: No Discriminator_loss: 0.759529 Generator_loss: 0.731963
[INFO] 2021-01-15 14:59:50 > Step: 1600 Progress: 1.6% Elapsed: 0:10:51 temperature: no ada_p: No Discriminator_loss: 0.716711 Generator_loss: 0.958741
[INFO] 2021-01-15 15:00:30 > Step: 1700 Progress: 1.7% Elapsed: 0:11:31 temperature: no ada_p: No Discriminator_loss: 0.917869 Generator_loss: 1.98145
[INFO] 2021-01-15 15:01:11 > Step: 1800 Progress: 1.8% Elapsed: 0:12:12 temperature: no ada_p: No Discriminator_loss: 1.08183 Generator_loss: 1.44456
[INFO] 2021-01-15 15:01:52 > Step: 1900 Progress: 1.9% Elapsed: 0:12:53 temperature: no ada_p: No Discriminator_loss: 0.945496 Generator_loss: 1.55842
[INFO] 2021-01-15 15:02:32 > Step: 2000 Progress: 2.0% Elapsed: 0:13:33 temperature: no ada_p: No Discriminator_loss: 0.959657 Generator_loss: 1.90515
[INFO] 2021-01-15 15:02:32 > Start Evaluation (2000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 15:02:32 > Calculating FID Score....
[INFO] 2021-01-15 15:03:01 > Calculating Inception Score....
[INFO] 2021-01-15 15:03:18 > Calculate F_beta Score....
[INFO] 2021-01-15 15:04:15 > Calculate Accuracies....
[INFO] 2021-01-15 15:04:22 > Calculate Accuracies....
[INFO] 2021-01-15 15:04:24 > F_8 score (Step: 2000, Using test images): 0.8130341091235509
[INFO] 2021-01-15 15:04:24 > F_1/8 score (Step: 2000, Using test images): 0.8830434494374753
[INFO] 2021-01-15 15:04:24 > FID score (Step: 2000, Using test moments): 45.42340630285878
[INFO] 2021-01-15 15:04:24 > Inception score (Step: 2000, 10000 generated images): 6.018830299377441
[INFO] 2021-01-15 15:04:24 > Best FID score (Step: 2000, Using test moments): 45.42340630285878
[INFO] 2021-01-15 15:04:25 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 15:05:05 > Step: 2100 Progress: 2.1% Elapsed: 0:16:06 temperature: no ada_p: No Discriminator_loss: 0.84606 Generator_loss: 0.953918
[INFO] 2021-01-15 15:05:46 > Step: 2200 Progress: 2.2% Elapsed: 0:16:47 temperature: no ada_p: No Discriminator_loss: 0.447546 Generator_loss: 2.35531
[INFO] 2021-01-15 15:06:26 > Step: 2300 Progress: 2.3% Elapsed: 0:17:27 temperature: no ada_p: No Discriminator_loss: 0.819016 Generator_loss: 0.996046
[INFO] 2021-01-15 15:07:07 > Step: 2400 Progress: 2.4% Elapsed: 0:18:08 temperature: no ada_p: No Discriminator_loss: 0.758883 Generator_loss: 1.86028
[INFO] 2021-01-15 15:07:49 > Step: 2500 Progress: 2.5% Elapsed: 0:18:50 temperature: no ada_p: No Discriminator_loss: 0.77783 Generator_loss: 0.765966
[INFO] 2021-01-15 15:08:29 > Step: 2600 Progress: 2.6% Elapsed: 0:19:30 temperature: no ada_p: No Discriminator_loss: 0.781686 Generator_loss: 1.28749
[INFO] 2021-01-15 15:09:10 > Step: 2700 Progress: 2.7% Elapsed: 0:20:11 temperature: no ada_p: No Discriminator_loss: 0.634425 Generator_loss: 1.24379
[INFO] 2021-01-15 15:09:50 > Step: 2800 Progress: 2.8% Elapsed: 0:20:51 temperature: no ada_p: No Discriminator_loss: 0.956621 Generator_loss: -0.0957158
[INFO] 2021-01-15 15:10:31 > Step: 2900 Progress: 2.9% Elapsed: 0:21:32 temperature: no ada_p: No Discriminator_loss: 0.999003 Generator_loss: 0.889114
[INFO] 2021-01-15 15:11:12 > Step: 3000 Progress: 3.0% Elapsed: 0:22:13 temperature: no ada_p: No Discriminator_loss: 0.71266 Generator_loss: 1.67918
[INFO] 2021-01-15 15:11:52 > Step: 3100 Progress: 3.1% Elapsed: 0:22:53 temperature: no ada_p: No Discriminator_loss: 1.03193 Generator_loss: 0.790235
[INFO] 2021-01-15 15:12:33 > Step: 3200 Progress: 3.2% Elapsed: 0:23:34 temperature: no ada_p: No Discriminator_loss: 0.640014 Generator_loss: 1.77302
[INFO] 2021-01-15 15:13:14 > Step: 3300 Progress: 3.3% Elapsed: 0:24:15 temperature: no ada_p: No Discriminator_loss: 0.987074 Generator_loss: 0.752444
[INFO] 2021-01-15 15:13:54 > Step: 3400 Progress: 3.4% Elapsed: 0:24:55 temperature: no ada_p: No Discriminator_loss: 0.874303 Generator_loss: 1.01797
[INFO] 2021-01-15 15:14:35 > Step: 3500 Progress: 3.5% Elapsed: 0:25:36 temperature: no ada_p: No Discriminator_loss: 1.0191 Generator_loss: 1.12917
[INFO] 2021-01-15 15:15:16 > Step: 3600 Progress: 3.6% Elapsed: 0:26:17 temperature: no ada_p: No Discriminator_loss: 0.839078 Generator_loss: 1.3538
[INFO] 2021-01-15 15:15:56 > Step: 3700 Progress: 3.7% Elapsed: 0:26:57 temperature: no ada_p: No Discriminator_loss: 0.634765 Generator_loss: 1.16156
[INFO] 2021-01-15 15:16:37 > Step: 3800 Progress: 3.8% Elapsed: 0:27:38 temperature: no ada_p: No Discriminator_loss: 0.700487 Generator_loss: 1.20531
[INFO] 2021-01-15 15:17:17 > Step: 3900 Progress: 3.9% Elapsed: 0:28:17 temperature: no ada_p: No Discriminator_loss: 0.93598 Generator_loss: 1.43496
[INFO] 2021-01-15 15:17:57 > Step: 4000 Progress: 4.0% Elapsed: 0:28:58 temperature: no ada_p: No Discriminator_loss: 1.17432 Generator_loss: 2.13017
[INFO] 2021-01-15 15:17:57 > Start Evaluation (4000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 15:17:57 > Calculating FID Score....
[INFO] 2021-01-15 15:18:26 > Calculating Inception Score....
[INFO] 2021-01-15 15:18:43 > Calculate F_beta Score....
[INFO] 2021-01-15 15:19:41 > Calculate Accuracies....
[INFO] 2021-01-15 15:19:48 > Calculate Accuracies....
[INFO] 2021-01-15 15:19:50 > F_8 score (Step: 4000, Using test images): 0.8688648882697567
[INFO] 2021-01-15 15:19:50 > F_1/8 score (Step: 4000, Using test images): 0.8933754288773603
[INFO] 2021-01-15 15:19:50 > FID score (Step: 4000, Using test moments): 39.889930874041625
[INFO] 2021-01-15 15:19:50 > Inception score (Step: 4000, 10000 generated images): 7.080965518951416
[INFO] 2021-01-15 15:19:50 > Best FID score (Step: 4000, Using test moments): 39.889930874041625
[INFO] 2021-01-15 15:19:51 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 15:20:31 > Step: 4100 Progress: 4.1% Elapsed: 0:31:32 temperature: no ada_p: No Discriminator_loss: 0.666703 Generator_loss: 0.353958
[INFO] 2021-01-15 15:21:11 > Step: 4200 Progress: 4.2% Elapsed: 0:32:12 temperature: no ada_p: No Discriminator_loss: 0.931197 Generator_loss: 1.20443
[INFO] 2021-01-15 15:21:52 > Step: 4300 Progress: 4.3% Elapsed: 0:32:53 temperature: no ada_p: No Discriminator_loss: 0.960927 Generator_loss: 1.51593
[INFO] 2021-01-15 15:22:34 > Step: 4400 Progress: 4.4% Elapsed: 0:33:35 temperature: no ada_p: No Discriminator_loss: 0.771403 Generator_loss: 1.61327
[INFO] 2021-01-15 15:23:14 > Step: 4500 Progress: 4.5% Elapsed: 0:34:15 temperature: no ada_p: No Discriminator_loss: 0.93505 Generator_loss: 1.49181
[INFO] 2021-01-15 15:23:55 > Step: 4600 Progress: 4.6% Elapsed: 0:34:56 temperature: no ada_p: No Discriminator_loss: 0.843593 Generator_loss: 0.812152
[INFO] 2021-01-15 15:24:36 > Step: 4700 Progress: 4.7% Elapsed: 0:35:37 temperature: no ada_p: No Discriminator_loss: 0.716747 Generator_loss: 0.68793
[INFO] 2021-01-15 15:25:16 > Step: 4800 Progress: 4.8% Elapsed: 0:36:17 temperature: no ada_p: No Discriminator_loss: 0.766417 Generator_loss: 1.10413
[INFO] 2021-01-15 15:25:57 > Step: 4900 Progress: 4.9% Elapsed: 0:36:58 temperature: no ada_p: No Discriminator_loss: 0.812712 Generator_loss: 1.41889
[INFO] 2021-01-15 15:26:38 > Step: 5000 Progress: 5.0% Elapsed: 0:37:39 temperature: no ada_p: No Discriminator_loss: 0.706925 Generator_loss: 0.894508
[INFO] 2021-01-15 15:27:18 > Step: 5100 Progress: 5.1% Elapsed: 0:38:19 temperature: no ada_p: No Discriminator_loss: 0.775662 Generator_loss: 1.04824
[INFO] 2021-01-15 15:27:59 > Step: 5200 Progress: 5.2% Elapsed: 0:39:00 temperature: no ada_p: No Discriminator_loss: 0.861157 Generator_loss: 1.00906
[INFO] 2021-01-15 15:28:39 > Step: 5300 Progress: 5.3% Elapsed: 0:39:40 temperature: no ada_p: No Discriminator_loss: 0.782337 Generator_loss: 1.28989
[INFO] 2021-01-15 15:29:20 > Step: 5400 Progress: 5.4% Elapsed: 0:40:21 temperature: no ada_p: No Discriminator_loss: 0.891898 Generator_loss: 1.50594
[INFO] 2021-01-15 15:30:01 > Step: 5500 Progress: 5.5% Elapsed: 0:41:02 temperature: no ada_p: No Discriminator_loss: 0.641308 Generator_loss: 1.64234
[INFO] 2021-01-15 15:30:41 > Step: 5600 Progress: 5.6% Elapsed: 0:41:42 temperature: no ada_p: No Discriminator_loss: 0.896193 Generator_loss: 0.388178
[INFO] 2021-01-15 15:31:22 > Step: 5700 Progress: 5.7% Elapsed: 0:42:23 temperature: no ada_p: No Discriminator_loss: 0.687292 Generator_loss: 1.54162
[INFO] 2021-01-15 15:32:03 > Step: 5800 Progress: 5.8% Elapsed: 0:43:04 temperature: no ada_p: No Discriminator_loss: 0.695065 Generator_loss: 1.32768
[INFO] 2021-01-15 15:32:43 > Step: 5900 Progress: 5.9% Elapsed: 0:43:44 temperature: no ada_p: No Discriminator_loss: 0.740192 Generator_loss: 1.05148
[INFO] 2021-01-15 15:33:23 > Step: 6000 Progress: 6.0% Elapsed: 0:44:24 temperature: no ada_p: No Discriminator_loss: 0.620361 Generator_loss: 1.14334
[INFO] 2021-01-15 15:33:23 > Start Evaluation (6000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 15:33:23 > Calculating FID Score....
[INFO] 2021-01-15 15:33:51 > Calculating Inception Score....
[INFO] 2021-01-15 15:34:08 > Calculate F_beta Score....
[INFO] 2021-01-15 15:35:05 > Calculate Accuracies....
[INFO] 2021-01-15 15:35:12 > Calculate Accuracies....
[INFO] 2021-01-15 15:35:14 > F_8 score (Step: 6000, Using test images): 0.914082075231043
[INFO] 2021-01-15 15:35:14 > F_1/8 score (Step: 6000, Using test images): 0.9207302822958312
[INFO] 2021-01-15 15:35:14 > FID score (Step: 6000, Using test moments): 35.82292790206111
[INFO] 2021-01-15 15:35:14 > Inception score (Step: 6000, 10000 generated images): 7.886031150817871
[INFO] 2021-01-15 15:35:14 > Best FID score (Step: 6000, Using test moments): 35.82292790206111
[INFO] 2021-01-15 15:35:15 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 15:35:55 > Step: 6100 Progress: 6.1% Elapsed: 0:46:56 temperature: no ada_p: No Discriminator_loss: 0.530393 Generator_loss: 2.15803
[INFO] 2021-01-15 15:36:35 > Step: 6200 Progress: 6.2% Elapsed: 0:47:36 temperature: no ada_p: No Discriminator_loss: 0.94809 Generator_loss: 1.41678
[INFO] 2021-01-15 15:37:16 > Step: 6300 Progress: 6.3% Elapsed: 0:48:17 temperature: no ada_p: No Discriminator_loss: 0.65645 Generator_loss: 0.834787
[INFO] 2021-01-15 15:37:57 > Step: 6400 Progress: 6.4% Elapsed: 0:48:58 temperature: no ada_p: No Discriminator_loss: 0.704086 Generator_loss: 1.41227
[INFO] 2021-01-15 15:38:38 > Step: 6500 Progress: 6.5% Elapsed: 0:49:39 temperature: no ada_p: No Discriminator_loss: 0.600912 Generator_loss: 1.45003
[INFO] 2021-01-15 15:39:19 > Step: 6600 Progress: 6.6% Elapsed: 0:50:20 temperature: no ada_p: No Discriminator_loss: 0.672537 Generator_loss: 0.507887
[INFO] 2021-01-15 15:39:59 > Step: 6700 Progress: 6.7% Elapsed: 0:51:00 temperature: no ada_p: No Discriminator_loss: 0.860174 Generator_loss: 1.87489
[INFO] 2021-01-15 15:40:40 > Step: 6800 Progress: 6.8% Elapsed: 0:51:41 temperature: no ada_p: No Discriminator_loss: 0.650354 Generator_loss: 1.13878
[INFO] 2021-01-15 15:41:21 > Step: 6900 Progress: 6.9% Elapsed: 0:52:22 temperature: no ada_p: No Discriminator_loss: 0.685268 Generator_loss: 1.2144
[INFO] 2021-01-15 15:42:01 > Step: 7000 Progress: 7.0% Elapsed: 0:53:02 temperature: no ada_p: No Discriminator_loss: 0.738287 Generator_loss: 1.85074
[INFO] 2021-01-15 15:42:42 > Step: 7100 Progress: 7.1% Elapsed: 0:53:43 temperature: no ada_p: No Discriminator_loss: 0.610691 Generator_loss: 1.15214
[INFO] 2021-01-15 15:43:23 > Step: 7200 Progress: 7.2% Elapsed: 0:54:24 temperature: no ada_p: No Discriminator_loss: 1.0608 Generator_loss: 0.478211
[INFO] 2021-01-15 15:44:03 > Step: 7300 Progress: 7.3% Elapsed: 0:55:04 temperature: no ada_p: No Discriminator_loss: 0.706895 Generator_loss: 0.993561
[INFO] 2021-01-15 15:44:44 > Step: 7400 Progress: 7.4% Elapsed: 0:55:45 temperature: no ada_p: No Discriminator_loss: 0.739618 Generator_loss: 0.851208
[INFO] 2021-01-15 15:45:25 > Step: 7500 Progress: 7.5% Elapsed: 0:56:26 temperature: no ada_p: No Discriminator_loss: 0.697421 Generator_loss: 1.5428
[INFO] 2021-01-15 15:46:05 > Step: 7600 Progress: 7.6% Elapsed: 0:57:06 temperature: no ada_p: No Discriminator_loss: 0.778722 Generator_loss: 0.202756
[INFO] 2021-01-15 15:46:46 > Step: 7700 Progress: 7.7% Elapsed: 0:57:47 temperature: no ada_p: No Discriminator_loss: 0.780332 Generator_loss: 1.40248
[INFO] 2021-01-15 15:47:26 > Step: 7800 Progress: 7.8% Elapsed: 0:58:27 temperature: no ada_p: No Discriminator_loss: 0.770277 Generator_loss: 1.30779
[INFO] 2021-01-15 15:48:07 > Step: 7900 Progress: 7.9% Elapsed: 0:59:07 temperature: no ada_p: No Discriminator_loss: 0.60293 Generator_loss: 1.3121
[INFO] 2021-01-15 15:48:48 > Step: 8000 Progress: 8.0% Elapsed: 0:59:49 temperature: no ada_p: No Discriminator_loss: 0.519365 Generator_loss: 1.31251
[INFO] 2021-01-15 15:48:48 > Start Evaluation (8000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 15:48:48 > Calculating FID Score....
[INFO] 2021-01-15 15:49:16 > Calculating Inception Score....
[INFO] 2021-01-15 15:49:33 > Calculate F_beta Score....
[INFO] 2021-01-15 15:50:31 > Calculate Accuracies....
[INFO] 2021-01-15 15:50:38 > Calculate Accuracies....
[INFO] 2021-01-15 15:50:39 > F_8 score (Step: 8000, Using test images): 0.9080027018167522
[INFO] 2021-01-15 15:50:39 > F_1/8 score (Step: 8000, Using test images): 0.9354093874278002
[INFO] 2021-01-15 15:50:40 > FID score (Step: 8000, Using test moments): 32.61147924739214
[INFO] 2021-01-15 15:50:40 > Inception score (Step: 8000, 10000 generated images): 8.376940727233887
[INFO] 2021-01-15 15:50:40 > Best FID score (Step: 8000, Using test moments): 32.61147924739214
[INFO] 2021-01-15 15:50:40 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 15:51:20 > Step: 8100 Progress: 8.1% Elapsed: 1:02:21 temperature: no ada_p: No Discriminator_loss: 0.704191 Generator_loss: 1.99277
[INFO] 2021-01-15 15:52:01 > Step: 8200 Progress: 8.2% Elapsed: 1:03:02 temperature: no ada_p: No Discriminator_loss: 0.859666 Generator_loss: 1.93584
[INFO] 2021-01-15 15:52:42 > Step: 8300 Progress: 8.3% Elapsed: 1:03:43 temperature: no ada_p: No Discriminator_loss: 0.51156 Generator_loss: 0.411938
[INFO] 2021-01-15 15:53:22 > Step: 8400 Progress: 8.4% Elapsed: 1:04:23 temperature: no ada_p: No Discriminator_loss: 0.415687 Generator_loss: 1.58133
[INFO] 2021-01-15 15:54:04 > Step: 8500 Progress: 8.5% Elapsed: 1:05:05 temperature: no ada_p: No Discriminator_loss: 0.911321 Generator_loss: 1.50147
[INFO] 2021-01-15 15:54:45 > Step: 8600 Progress: 8.6% Elapsed: 1:05:46 temperature: no ada_p: No Discriminator_loss: 0.542996 Generator_loss: 1.22184
[INFO] 2021-01-15 15:55:25 > Step: 8700 Progress: 8.7% Elapsed: 1:06:26 temperature: no ada_p: No Discriminator_loss: 0.776806 Generator_loss: 0.938018
[INFO] 2021-01-15 15:56:06 > Step: 8800 Progress: 8.8% Elapsed: 1:07:07 temperature: no ada_p: No Discriminator_loss: 0.815716 Generator_loss: 1.1194
[INFO] 2021-01-15 15:56:46 > Step: 8900 Progress: 8.9% Elapsed: 1:07:47 temperature: no ada_p: No Discriminator_loss: 0.843933 Generator_loss: 1.02984
[INFO] 2021-01-15 15:57:27 > Step: 9000 Progress: 9.0% Elapsed: 1:08:28 temperature: no ada_p: No Discriminator_loss: 0.739827 Generator_loss: 1.36998
[INFO] 2021-01-15 15:58:08 > Step: 9100 Progress: 9.1% Elapsed: 1:09:09 temperature: no ada_p: No Discriminator_loss: 0.688795 Generator_loss: 1.016
[INFO] 2021-01-15 15:58:48 > Step: 9200 Progress: 9.2% Elapsed: 1:09:49 temperature: no ada_p: No Discriminator_loss: 0.628429 Generator_loss: 1.55727
[INFO] 2021-01-15 15:59:29 > Step: 9300 Progress: 9.3% Elapsed: 1:10:30 temperature: no ada_p: No Discriminator_loss: 0.529115 Generator_loss: 1.1254
[INFO] 2021-01-15 16:00:10 > Step: 9400 Progress: 9.4% Elapsed: 1:11:11 temperature: no ada_p: No Discriminator_loss: 0.618047 Generator_loss: 2.1957
[INFO] 2021-01-15 16:00:51 > Step: 9500 Progress: 9.5% Elapsed: 1:11:52 temperature: no ada_p: No Discriminator_loss: 0.63274 Generator_loss: 1.10005
[INFO] 2021-01-15 16:01:32 > Step: 9600 Progress: 9.6% Elapsed: 1:12:33 temperature: no ada_p: No Discriminator_loss: 0.828066 Generator_loss: 2.0403
[INFO] 2021-01-15 16:02:13 > Step: 9700 Progress: 9.7% Elapsed: 1:13:14 temperature: no ada_p: No Discriminator_loss: 1.00746 Generator_loss: 1.2795
[INFO] 2021-01-15 16:02:53 > Step: 9800 Progress: 9.8% Elapsed: 1:13:54 temperature: no ada_p: No Discriminator_loss: 0.75796 Generator_loss: 1.8905
[INFO] 2021-01-15 16:03:34 > Step: 9900 Progress: 9.9% Elapsed: 1:14:35 temperature: no ada_p: No Discriminator_loss: 0.953482 Generator_loss: 0.757875
[INFO] 2021-01-15 16:04:15 > Step: 10000 Progress: 10.0% Elapsed: 1:15:16 temperature: no ada_p: No Discriminator_loss: 0.555258 Generator_loss: 1.32733
[INFO] 2021-01-15 16:04:15 > Start Evaluation (10000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 16:04:15 > Calculating FID Score....
[INFO] 2021-01-15 16:04:43 > Calculating Inception Score....
[INFO] 2021-01-15 16:05:00 > Calculate F_beta Score....
[INFO] 2021-01-15 16:05:57 > Calculate Accuracies....
[INFO] 2021-01-15 16:06:04 > Calculate Accuracies....
[INFO] 2021-01-15 16:06:06 > F_8 score (Step: 10000, Using test images): 0.9266248924524485
[INFO] 2021-01-15 16:06:06 > F_1/8 score (Step: 10000, Using test images): 0.9379168243313223
[INFO] 2021-01-15 16:06:06 > FID score (Step: 10000, Using test moments): 28.564483106606872
[INFO] 2021-01-15 16:06:06 > Inception score (Step: 10000, 10000 generated images): 8.699347496032715
[INFO] 2021-01-15 16:06:06 > Best FID score (Step: 10000, Using test moments): 28.564483106606872
[INFO] 2021-01-15 16:06:07 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 16:06:46 > Step: 10100 Progress: 10.1% Elapsed: 1:17:47 temperature: no ada_p: No Discriminator_loss: 0.680696 Generator_loss: 1.22656
[INFO] 2021-01-15 16:07:27 > Step: 10200 Progress: 10.2% Elapsed: 1:18:28 temperature: no ada_p: No Discriminator_loss: 0.487764 Generator_loss: 1.55616
[INFO] 2021-01-15 16:08:07 > Step: 10300 Progress: 10.3% Elapsed: 1:19:08 temperature: no ada_p: No Discriminator_loss: 0.656152 Generator_loss: 1.01208
[INFO] 2021-01-15 16:08:48 > Step: 10400 Progress: 10.4% Elapsed: 1:19:49 temperature: no ada_p: No Discriminator_loss: 0.686491 Generator_loss: 0.649153
[INFO] 2021-01-15 16:09:30 > Step: 10500 Progress: 10.5% Elapsed: 1:20:31 temperature: no ada_p: No Discriminator_loss: 0.879694 Generator_loss: 0.634743
[INFO] 2021-01-15 16:10:10 > Step: 10600 Progress: 10.6% Elapsed: 1:21:11 temperature: no ada_p: No Discriminator_loss: 0.44073 Generator_loss: 1.79002
[INFO] 2021-01-15 16:10:51 > Step: 10700 Progress: 10.7% Elapsed: 1:21:52 temperature: no ada_p: No Discriminator_loss: 0.570483 Generator_loss: 1.15853
[INFO] 2021-01-15 16:11:32 > Step: 10800 Progress: 10.8% Elapsed: 1:22:33 temperature: no ada_p: No Discriminator_loss: 0.768656 Generator_loss: 0.892272
[INFO] 2021-01-15 16:12:12 > Step: 10900 Progress: 10.9% Elapsed: 1:23:13 temperature: no ada_p: No Discriminator_loss: 0.705509 Generator_loss: 2.09087
[INFO] 2021-01-15 16:12:53 > Step: 11000 Progress: 11.0% Elapsed: 1:23:54 temperature: no ada_p: No Discriminator_loss: 0.834699 Generator_loss: 1.883
[INFO] 2021-01-15 16:13:34 > Step: 11100 Progress: 11.1% Elapsed: 1:24:35 temperature: no ada_p: No Discriminator_loss: 0.641739 Generator_loss: 1.44174
[INFO] 2021-01-15 16:14:14 > Step: 11200 Progress: 11.2% Elapsed: 1:25:15 temperature: no ada_p: No Discriminator_loss: 0.66411 Generator_loss: 1.35167
[INFO] 2021-01-15 16:14:55 > Step: 11300 Progress: 11.3% Elapsed: 1:25:56 temperature: no ada_p: No Discriminator_loss: 0.689302 Generator_loss: 1.17508
[INFO] 2021-01-15 16:15:35 > Step: 11400 Progress: 11.4% Elapsed: 1:26:36 temperature: no ada_p: No Discriminator_loss: 0.702847 Generator_loss: 1.612
[INFO] 2021-01-15 16:16:16 > Step: 11500 Progress: 11.5% Elapsed: 1:27:17 temperature: no ada_p: No Discriminator_loss: 0.777113 Generator_loss: 1.15588
[INFO] 2021-01-15 16:16:57 > Step: 11600 Progress: 11.6% Elapsed: 1:27:58 temperature: no ada_p: No Discriminator_loss: 0.671667 Generator_loss: 1.80408
[INFO] 2021-01-15 16:17:37 > Step: 11700 Progress: 11.7% Elapsed: 1:28:38 temperature: no ada_p: No Discriminator_loss: 0.639471 Generator_loss: 0.820978
[INFO] 2021-01-15 16:18:18 > Step: 11800 Progress: 11.8% Elapsed: 1:29:19 temperature: no ada_p: No Discriminator_loss: 0.787109 Generator_loss: 0.748948
[INFO] 2021-01-15 16:18:59 > Step: 11900 Progress: 11.9% Elapsed: 1:30:00 temperature: no ada_p: No Discriminator_loss: 0.943046 Generator_loss: 1.41937
[INFO] 2021-01-15 16:19:39 > Step: 12000 Progress: 12.0% Elapsed: 1:30:40 temperature: no ada_p: No Discriminator_loss: 0.708353 Generator_loss: 0.633692
[INFO] 2021-01-15 16:19:39 > Start Evaluation (12000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 16:19:39 > Calculating FID Score....
[INFO] 2021-01-15 16:20:07 > Calculating Inception Score....
[INFO] 2021-01-15 16:20:24 > Calculate F_beta Score....
[INFO] 2021-01-15 16:21:23 > Calculate Accuracies....
[INFO] 2021-01-15 16:21:30 > Calculate Accuracies....
[INFO] 2021-01-15 16:21:31 > F_8 score (Step: 12000, Using test images): 0.9440720045271899
[INFO] 2021-01-15 16:21:31 > F_1/8 score (Step: 12000, Using test images): 0.9597123961928188
[INFO] 2021-01-15 16:21:31 > FID score (Step: 12000, Using test moments): 24.316666256761152
[INFO] 2021-01-15 16:21:31 > Inception score (Step: 12000, 10000 generated images): 8.774819374084473
[INFO] 2021-01-15 16:21:31 > Best FID score (Step: 12000, Using test moments): 24.316666256761152
[INFO] 2021-01-15 16:21:32 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 16:22:12 > Step: 12100 Progress: 12.1% Elapsed: 1:33:13 temperature: no ada_p: No Discriminator_loss: 0.681899 Generator_loss: 1.4911
[INFO] 2021-01-15 16:22:53 > Step: 12200 Progress: 12.2% Elapsed: 1:33:54 temperature: no ada_p: No Discriminator_loss: 0.725989 Generator_loss: 0.929654
[INFO] 2021-01-15 16:23:33 > Step: 12300 Progress: 12.3% Elapsed: 1:34:34 temperature: no ada_p: No Discriminator_loss: 0.739506 Generator_loss: 1.6596
[INFO] 2021-01-15 16:24:15 > Step: 12400 Progress: 12.4% Elapsed: 1:35:16 temperature: no ada_p: No Discriminator_loss: 0.653509 Generator_loss: 1.20053
[INFO] 2021-01-15 16:24:56 > Step: 12500 Progress: 12.5% Elapsed: 1:35:57 temperature: no ada_p: No Discriminator_loss: 0.436149 Generator_loss: 1.65703
[INFO] 2021-01-15 16:25:36 > Step: 12600 Progress: 12.6% Elapsed: 1:36:37 temperature: no ada_p: No Discriminator_loss: 0.724794 Generator_loss: 1.26052
[INFO] 2021-01-15 16:26:18 > Step: 12700 Progress: 12.7% Elapsed: 1:37:19 temperature: no ada_p: No Discriminator_loss: 0.9878 Generator_loss: 1.20553
[INFO] 2021-01-15 16:26:58 > Step: 12800 Progress: 12.8% Elapsed: 1:37:59 temperature: no ada_p: No Discriminator_loss: 0.802188 Generator_loss: 1.54309
[INFO] 2021-01-15 16:27:39 > Step: 12900 Progress: 12.9% Elapsed: 1:38:40 temperature: no ada_p: No Discriminator_loss: 0.686916 Generator_loss: 0.585005
[INFO] 2021-01-15 16:28:20 > Step: 13000 Progress: 13.0% Elapsed: 1:39:21 temperature: no ada_p: No Discriminator_loss: 0.802273 Generator_loss: 1.197
[INFO] 2021-01-15 16:29:00 > Step: 13100 Progress: 13.1% Elapsed: 1:40:01 temperature: no ada_p: No Discriminator_loss: 0.465641 Generator_loss: 1.04731
[INFO] 2021-01-15 16:29:41 > Step: 13200 Progress: 13.2% Elapsed: 1:40:42 temperature: no ada_p: No Discriminator_loss: 0.53961 Generator_loss: 1.55083
[INFO] 2021-01-15 16:30:22 > Step: 13300 Progress: 13.3% Elapsed: 1:41:23 temperature: no ada_p: No Discriminator_loss: 0.8388 Generator_loss: 1.15149
[INFO] 2021-01-15 16:31:02 > Step: 13400 Progress: 13.4% Elapsed: 1:42:03 temperature: no ada_p: No Discriminator_loss: 0.885741 Generator_loss: 1.60331
[INFO] 2021-01-15 16:31:43 > Step: 13500 Progress: 13.5% Elapsed: 1:42:44 temperature: no ada_p: No Discriminator_loss: 0.479026 Generator_loss: 0.878965
[INFO] 2021-01-15 16:32:24 > Step: 13600 Progress: 13.6% Elapsed: 1:43:25 temperature: no ada_p: No Discriminator_loss: 0.672274 Generator_loss: 1.17199
[INFO] 2021-01-15 16:33:04 > Step: 13700 Progress: 13.7% Elapsed: 1:44:05 temperature: no ada_p: No Discriminator_loss: 0.626688 Generator_loss: 1.43965
[INFO] 2021-01-15 16:33:45 > Step: 13800 Progress: 13.8% Elapsed: 1:44:46 temperature: no ada_p: No Discriminator_loss: 0.597485 Generator_loss: 1.06254
[INFO] 2021-01-15 16:34:25 > Step: 13900 Progress: 13.9% Elapsed: 1:45:26 temperature: no ada_p: No Discriminator_loss: 0.94557 Generator_loss: 2.09281
[INFO] 2021-01-15 16:35:06 > Step: 14000 Progress: 14.0% Elapsed: 1:46:07 temperature: no ada_p: No Discriminator_loss: 1.06706 Generator_loss: 1.88261
[INFO] 2021-01-15 16:35:06 > Start Evaluation (14000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 16:35:06 > Calculating FID Score....
[INFO] 2021-01-15 16:35:34 > Calculating Inception Score....
[INFO] 2021-01-15 16:35:51 > Calculate F_beta Score....
[INFO] 2021-01-15 16:36:47 > Calculate Accuracies....
[INFO] 2021-01-15 16:36:54 > Calculate Accuracies....
[INFO] 2021-01-15 16:36:56 > F_8 score (Step: 14000, Using test images): 0.9704252184030292
[INFO] 2021-01-15 16:36:56 > F_1/8 score (Step: 14000, Using test images): 0.9678864666073992
[INFO] 2021-01-15 16:36:56 > FID score (Step: 14000, Using test moments): 21.026768384565116
[INFO] 2021-01-15 16:36:56 > Inception score (Step: 14000, 10000 generated images): 9.041297912597656
[INFO] 2021-01-15 16:36:56 > Best FID score (Step: 14000, Using test moments): 21.026768384565116
[INFO] 2021-01-15 16:36:57 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 16:37:37 > Step: 14100 Progress: 14.1% Elapsed: 1:48:38 temperature: no ada_p: No Discriminator_loss: 0.415487 Generator_loss: 1.32896
[INFO] 2021-01-15 16:38:17 > Step: 14200 Progress: 14.2% Elapsed: 1:49:18 temperature: no ada_p: No Discriminator_loss: 0.788317 Generator_loss: 1.00552
[INFO] 2021-01-15 16:38:58 > Step: 14300 Progress: 14.3% Elapsed: 1:49:59 temperature: no ada_p: No Discriminator_loss: 0.616593 Generator_loss: 0.689151
[INFO] 2021-01-15 16:39:40 > Step: 14400 Progress: 14.4% Elapsed: 1:50:41 temperature: no ada_p: No Discriminator_loss: 0.695946 Generator_loss: 0.987042
[INFO] 2021-01-15 16:40:20 > Step: 14500 Progress: 14.5% Elapsed: 1:51:21 temperature: no ada_p: No Discriminator_loss: 0.544759 Generator_loss: 1.24392
[INFO] 2021-01-15 16:41:01 > Step: 14600 Progress: 14.6% Elapsed: 1:52:02 temperature: no ada_p: No Discriminator_loss: 0.713078 Generator_loss: 1.72576
[INFO] 2021-01-15 16:41:42 > Step: 14700 Progress: 14.7% Elapsed: 1:52:43 temperature: no ada_p: No Discriminator_loss: 0.575929 Generator_loss: 1.26972
[INFO] 2021-01-15 16:42:22 > Step: 14800 Progress: 14.8% Elapsed: 1:53:23 temperature: no ada_p: No Discriminator_loss: 0.756661 Generator_loss: 0.523161
[INFO] 2021-01-15 16:43:03 > Step: 14900 Progress: 14.9% Elapsed: 1:54:04 temperature: no ada_p: No Discriminator_loss: 0.573498 Generator_loss: 0.721957
[INFO] 2021-01-15 16:43:44 > Step: 15000 Progress: 15.0% Elapsed: 1:54:45 temperature: no ada_p: No Discriminator_loss: 0.589556 Generator_loss: 1.48958
[INFO] 2021-01-15 16:44:24 > Step: 15100 Progress: 15.1% Elapsed: 1:55:25 temperature: no ada_p: No Discriminator_loss: 0.83894 Generator_loss: 1.3526
[INFO] 2021-01-15 16:45:05 > Step: 15200 Progress: 15.2% Elapsed: 1:56:06 temperature: no ada_p: No Discriminator_loss: 0.617952 Generator_loss: 0.190267
[INFO] 2021-01-15 16:45:45 > Step: 15300 Progress: 15.3% Elapsed: 1:56:46 temperature: no ada_p: No Discriminator_loss: 0.692779 Generator_loss: 1.56177
[INFO] 2021-01-15 16:46:26 > Step: 15400 Progress: 15.4% Elapsed: 1:57:27 temperature: no ada_p: No Discriminator_loss: 0.477242 Generator_loss: 1.57136
[INFO] 2021-01-15 16:47:07 > Step: 15500 Progress: 15.5% Elapsed: 1:58:08 temperature: no ada_p: No Discriminator_loss: 0.656217 Generator_loss: 0.822957
[INFO] 2021-01-15 16:47:47 > Step: 15600 Progress: 15.6% Elapsed: 1:58:48 temperature: no ada_p: No Discriminator_loss: 0.705494 Generator_loss: 0.546234
[INFO] 2021-01-15 16:48:28 > Step: 15700 Progress: 15.7% Elapsed: 1:59:29 temperature: no ada_p: No Discriminator_loss: 0.437476 Generator_loss: 1.17777
[INFO] 2021-01-15 16:49:09 > Step: 15800 Progress: 15.8% Elapsed: 2:00:10 temperature: no ada_p: No Discriminator_loss: 0.632178 Generator_loss: 2.25007
[INFO] 2021-01-15 16:49:49 > Step: 15900 Progress: 15.9% Elapsed: 2:00:50 temperature: no ada_p: No Discriminator_loss: 0.608216 Generator_loss: 1.91372
[INFO] 2021-01-15 16:50:30 > Step: 16000 Progress: 16.0% Elapsed: 2:01:31 temperature: no ada_p: No Discriminator_loss: 0.628274 Generator_loss: 1.30487
[INFO] 2021-01-15 16:50:30 > Start Evaluation (16000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 16:50:30 > Calculating FID Score....
[INFO] 2021-01-15 16:50:58 > Calculating Inception Score....
[INFO] 2021-01-15 16:51:15 > Calculate F_beta Score....
[INFO] 2021-01-15 16:52:12 > Calculate Accuracies....
[INFO] 2021-01-15 16:52:19 > Calculate Accuracies....
[INFO] 2021-01-15 16:52:21 > F_8 score (Step: 16000, Using test images): 0.9687789764422848
[INFO] 2021-01-15 16:52:21 > F_1/8 score (Step: 16000, Using test images): 0.9753586767086955
[INFO] 2021-01-15 16:52:21 > FID score (Step: 16000, Using test moments): 18.423843897602012
[INFO] 2021-01-15 16:52:21 > Inception score (Step: 16000, 10000 generated images): 9.168951988220215
[INFO] 2021-01-15 16:52:21 > Best FID score (Step: 16000, Using test moments): 18.423843897602012
[INFO] 2021-01-15 16:52:21 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 16:53:02 > Step: 16100 Progress: 16.1% Elapsed: 2:04:03 temperature: no ada_p: No Discriminator_loss: 0.513927 Generator_loss: 1.75587
[INFO] 2021-01-15 16:53:42 > Step: 16200 Progress: 16.2% Elapsed: 2:04:43 temperature: no ada_p: No Discriminator_loss: 0.496256 Generator_loss: 2.11446
[INFO] 2021-01-15 16:54:23 > Step: 16300 Progress: 16.3% Elapsed: 2:05:24 temperature: no ada_p: No Discriminator_loss: 0.719254 Generator_loss: 0.885487
[INFO] 2021-01-15 16:55:03 > Step: 16400 Progress: 16.4% Elapsed: 2:06:04 temperature: no ada_p: No Discriminator_loss: 0.678855 Generator_loss: 1.41495
[INFO] 2021-01-15 16:55:45 > Step: 16500 Progress: 16.5% Elapsed: 2:06:45 temperature: no ada_p: No Discriminator_loss: 0.635058 Generator_loss: 1.41982
[INFO] 2021-01-15 16:56:26 > Step: 16600 Progress: 16.6% Elapsed: 2:07:27 temperature: no ada_p: No Discriminator_loss: 0.859306 Generator_loss: 1.82638
[INFO] 2021-01-15 16:57:06 > Step: 16700 Progress: 16.7% Elapsed: 2:08:07 temperature: no ada_p: No Discriminator_loss: 0.798209 Generator_loss: 1.57149
[INFO] 2021-01-15 16:57:47 > Step: 16800 Progress: 16.8% Elapsed: 2:08:48 temperature: no ada_p: No Discriminator_loss: 0.76558 Generator_loss: 1.84072
[INFO] 2021-01-15 16:58:28 > Step: 16900 Progress: 16.9% Elapsed: 2:09:29 temperature: no ada_p: No Discriminator_loss: 0.701555 Generator_loss: 1.44601
[INFO] 2021-01-15 16:59:08 > Step: 17000 Progress: 17.0% Elapsed: 2:10:09 temperature: no ada_p: No Discriminator_loss: 0.612825 Generator_loss: 1.03208
[INFO] 2021-01-15 16:59:49 > Step: 17100 Progress: 17.1% Elapsed: 2:10:50 temperature: no ada_p: No Discriminator_loss: 0.542101 Generator_loss: 1.25361
[INFO] 2021-01-15 17:00:30 > Step: 17200 Progress: 17.2% Elapsed: 2:11:31 temperature: no ada_p: No Discriminator_loss: 0.784052 Generator_loss: 2.18545
[INFO] 2021-01-15 17:01:10 > Step: 17300 Progress: 17.3% Elapsed: 2:12:11 temperature: no ada_p: No Discriminator_loss: 0.476662 Generator_loss: 1.32631
[INFO] 2021-01-15 17:01:51 > Step: 17400 Progress: 17.4% Elapsed: 2:12:52 temperature: no ada_p: No Discriminator_loss: 0.462733 Generator_loss: 1.79324
[INFO] 2021-01-15 17:02:32 > Step: 17500 Progress: 17.5% Elapsed: 2:13:33 temperature: no ada_p: No Discriminator_loss: 0.78274 Generator_loss: 1.14806
[INFO] 2021-01-15 17:03:12 > Step: 17600 Progress: 17.6% Elapsed: 2:14:13 temperature: no ada_p: No Discriminator_loss: 0.50486 Generator_loss: 1.39957
[INFO] 2021-01-15 17:03:53 > Step: 17700 Progress: 17.7% Elapsed: 2:14:54 temperature: no ada_p: No Discriminator_loss: 0.650941 Generator_loss: 1.41908
[INFO] 2021-01-15 17:04:33 > Step: 17800 Progress: 17.8% Elapsed: 2:15:34 temperature: no ada_p: No Discriminator_loss: 0.435143 Generator_loss: 2.19141
[INFO] 2021-01-15 17:05:14 > Step: 17900 Progress: 17.9% Elapsed: 2:16:15 temperature: no ada_p: No Discriminator_loss: 0.7364 Generator_loss: 1.54689
[INFO] 2021-01-15 17:05:55 > Step: 18000 Progress: 18.0% Elapsed: 2:16:56 temperature: no ada_p: No Discriminator_loss: 0.673372 Generator_loss: 1.66631
[INFO] 2021-01-15 17:05:55 > Start Evaluation (18000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 17:05:55 > Calculating FID Score....
[INFO] 2021-01-15 17:06:23 > Calculating Inception Score....
[INFO] 2021-01-15 17:06:40 > Calculate F_beta Score....
[INFO] 2021-01-15 17:07:37 > Calculate Accuracies....
[INFO] 2021-01-15 17:07:44 > Calculate Accuracies....
[INFO] 2021-01-15 17:07:46 > F_8 score (Step: 18000, Using test images): 0.9780918947056825
[INFO] 2021-01-15 17:07:46 > F_1/8 score (Step: 18000, Using test images): 0.980222855429856
[INFO] 2021-01-15 17:07:46 > FID score (Step: 18000, Using test moments): 16.371092284322515
[INFO] 2021-01-15 17:07:46 > Inception score (Step: 18000, 10000 generated images): 9.280691146850586
[INFO] 2021-01-15 17:07:46 > Best FID score (Step: 18000, Using test moments): 16.371092284322515
[INFO] 2021-01-15 17:07:47 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 17:08:26 > Step: 18100 Progress: 18.1% Elapsed: 2:19:27 temperature: no ada_p: No Discriminator_loss: 0.486868 Generator_loss: 1.80854
[INFO] 2021-01-15 17:09:07 > Step: 18200 Progress: 18.2% Elapsed: 2:20:08 temperature: no ada_p: No Discriminator_loss: 0.574559 Generator_loss: 1.47892
[INFO] 2021-01-15 17:09:48 > Step: 18300 Progress: 18.3% Elapsed: 2:20:49 temperature: no ada_p: No Discriminator_loss: 0.568284 Generator_loss: 1.98058
[INFO] 2021-01-15 17:10:28 > Step: 18400 Progress: 18.4% Elapsed: 2:21:29 temperature: no ada_p: No Discriminator_loss: 0.444555 Generator_loss: 1.30142
[INFO] 2021-01-15 17:11:10 > Step: 18500 Progress: 18.5% Elapsed: 2:22:11 temperature: no ada_p: No Discriminator_loss: 0.651302 Generator_loss: 0.824975
[INFO] 2021-01-15 17:11:51 > Step: 18600 Progress: 18.6% Elapsed: 2:22:52 temperature: no ada_p: No Discriminator_loss: 0.469187 Generator_loss: 0.731305
[INFO] 2021-01-15 17:12:31 > Step: 18700 Progress: 18.7% Elapsed: 2:23:32 temperature: no ada_p: No Discriminator_loss: 0.503028 Generator_loss: 1.89414
[INFO] 2021-01-15 17:13:13 > Step: 18800 Progress: 18.8% Elapsed: 2:24:14 temperature: no ada_p: No Discriminator_loss: 0.630299 Generator_loss: 1.09082
[INFO] 2021-01-15 17:13:54 > Step: 18900 Progress: 18.9% Elapsed: 2:24:55 temperature: no ada_p: No Discriminator_loss: 0.818963 Generator_loss: 0.999083
[INFO] 2021-01-15 17:14:35 > Step: 19000 Progress: 19.0% Elapsed: 2:25:36 temperature: no ada_p: No Discriminator_loss: 0.605054 Generator_loss: 1.13261
[INFO] 2021-01-15 17:15:15 > Step: 19100 Progress: 19.1% Elapsed: 2:26:16 temperature: no ada_p: No Discriminator_loss: 0.646666 Generator_loss: 1.16349
[INFO] 2021-01-15 17:15:55 > Step: 19200 Progress: 19.2% Elapsed: 2:26:56 temperature: no ada_p: No Discriminator_loss: 0.744253 Generator_loss: 1.10273
[INFO] 2021-01-15 17:16:36 > Step: 19300 Progress: 19.3% Elapsed: 2:27:37 temperature: no ada_p: No Discriminator_loss: 0.469265 Generator_loss: 1.22037
[INFO] 2021-01-15 17:17:17 > Step: 19400 Progress: 19.4% Elapsed: 2:28:18 temperature: no ada_p: No Discriminator_loss: 0.473777 Generator_loss: 2.05738
[INFO] 2021-01-15 17:17:57 > Step: 19500 Progress: 19.5% Elapsed: 2:28:58 temperature: no ada_p: No Discriminator_loss: 0.618309 Generator_loss: 1.87512
[INFO] 2021-01-15 17:18:38 > Step: 19600 Progress: 19.6% Elapsed: 2:29:39 temperature: no ada_p: No Discriminator_loss: 0.469 Generator_loss: 1.08317
[INFO] 2021-01-15 17:19:19 > Step: 19700 Progress: 19.7% Elapsed: 2:30:20 temperature: no ada_p: No Discriminator_loss: 0.683514 Generator_loss: 1.39755
[INFO] 2021-01-15 17:19:59 > Step: 19800 Progress: 19.8% Elapsed: 2:31:00 temperature: no ada_p: No Discriminator_loss: 0.509854 Generator_loss: 1.18071
[INFO] 2021-01-15 17:20:40 > Step: 19900 Progress: 19.9% Elapsed: 2:31:41 temperature: no ada_p: No Discriminator_loss: 0.766976 Generator_loss: 1.68033
[INFO] 2021-01-15 17:21:21 > Step: 20000 Progress: 20.0% Elapsed: 2:32:22 temperature: no ada_p: No Discriminator_loss: 0.749445 Generator_loss: 2.21961
[INFO] 2021-01-15 17:21:21 > Start Evaluation (20000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 17:21:21 > Calculating FID Score....
[INFO] 2021-01-15 17:21:49 > Calculating Inception Score....
[INFO] 2021-01-15 17:22:06 > Calculate F_beta Score....
[INFO] 2021-01-15 17:23:04 > Calculate Accuracies....
[INFO] 2021-01-15 17:23:11 > Calculate Accuracies....
[INFO] 2021-01-15 17:23:12 > F_8 score (Step: 20000, Using test images): 0.9793701262177889
[INFO] 2021-01-15 17:23:12 > F_1/8 score (Step: 20000, Using test images): 0.9830291074775694
[INFO] 2021-01-15 17:23:12 > FID score (Step: 20000, Using test moments): 14.885668059573618
[INFO] 2021-01-15 17:23:12 > Inception score (Step: 20000, 10000 generated images): 9.360904693603516
[INFO] 2021-01-15 17:23:12 > Best FID score (Step: 20000, Using test moments): 14.885668059573618
[INFO] 2021-01-15 17:23:13 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 17:23:52 > Step: 20100 Progress: 20.1% Elapsed: 2:34:53 temperature: no ada_p: No Discriminator_loss: 0.403022 Generator_loss: 1.47088
[INFO] 2021-01-15 17:24:33 > Step: 20200 Progress: 20.2% Elapsed: 2:35:34 temperature: no ada_p: No Discriminator_loss: 0.577898 Generator_loss: 0.806883
[INFO] 2021-01-15 17:25:14 > Step: 20300 Progress: 20.3% Elapsed: 2:36:14 temperature: no ada_p: No Discriminator_loss: 0.408246 Generator_loss: 0.560818
[INFO] 2021-01-15 17:25:55 > Step: 20400 Progress: 20.4% Elapsed: 2:36:56 temperature: no ada_p: No Discriminator_loss: 0.560738 Generator_loss: 1.34168
[INFO] 2021-01-15 17:26:36 > Step: 20500 Progress: 20.5% Elapsed: 2:37:37 temperature: no ada_p: No Discriminator_loss: 0.646988 Generator_loss: 1.53509
[INFO] 2021-01-15 17:27:16 > Step: 20600 Progress: 20.6% Elapsed: 2:38:17 temperature: no ada_p: No Discriminator_loss: 0.611455 Generator_loss: 1.51645
[INFO] 2021-01-15 17:27:58 > Step: 20700 Progress: 20.7% Elapsed: 2:38:58 temperature: no ada_p: No Discriminator_loss: 0.615758 Generator_loss: 1.80043
[INFO] 2021-01-15 17:28:39 > Step: 20800 Progress: 20.8% Elapsed: 2:39:40 temperature: no ada_p: No Discriminator_loss: 0.551072 Generator_loss: 2.48657
[INFO] 2021-01-15 17:29:18 > Step: 20900 Progress: 20.9% Elapsed: 2:40:19 temperature: no ada_p: No Discriminator_loss: 0.664706 Generator_loss: 1.22825
[INFO] 2021-01-15 17:30:00 > Step: 21000 Progress: 21.0% Elapsed: 2:41:00 temperature: no ada_p: No Discriminator_loss: 0.503096 Generator_loss: 1.68567
[INFO] 2021-01-15 17:30:40 > Step: 21100 Progress: 21.1% Elapsed: 2:41:41 temperature: no ada_p: No Discriminator_loss: 0.680091 Generator_loss: 1.42066
[INFO] 2021-01-15 17:31:20 > Step: 21200 Progress: 21.2% Elapsed: 2:42:21 temperature: no ada_p: No Discriminator_loss: 0.746017 Generator_loss: 0.452099
[INFO] 2021-01-15 17:32:01 > Step: 21300 Progress: 21.3% Elapsed: 2:43:02 temperature: no ada_p: No Discriminator_loss: 0.781148 Generator_loss: 0.952398
[INFO] 2021-01-15 17:32:43 > Step: 21400 Progress: 21.4% Elapsed: 2:43:43 temperature: no ada_p: No Discriminator_loss: 0.681966 Generator_loss: 2.05341
[INFO] 2021-01-15 17:33:22 > Step: 21500 Progress: 21.5% Elapsed: 2:44:23 temperature: no ada_p: No Discriminator_loss: 0.555815 Generator_loss: 1.17998
[INFO] 2021-01-15 17:34:03 > Step: 21600 Progress: 21.6% Elapsed: 2:45:04 temperature: no ada_p: No Discriminator_loss: 0.563711 Generator_loss: 1.38556
[INFO] 2021-01-15 17:34:43 > Step: 21700 Progress: 21.7% Elapsed: 2:45:44 temperature: no ada_p: No Discriminator_loss: 0.539931 Generator_loss: 2.25199
[INFO] 2021-01-15 17:35:24 > Step: 21800 Progress: 21.8% Elapsed: 2:46:25 temperature: no ada_p: No Discriminator_loss: 0.716666 Generator_loss: 0.935465
[INFO] 2021-01-15 17:36:05 > Step: 21900 Progress: 21.9% Elapsed: 2:47:06 temperature: no ada_p: No Discriminator_loss: 0.962455 Generator_loss: 0.383632
[INFO] 2021-01-15 17:36:45 > Step: 22000 Progress: 22.0% Elapsed: 2:47:46 temperature: no ada_p: No Discriminator_loss: 0.719023 Generator_loss: 0.927448
[INFO] 2021-01-15 17:36:45 > Start Evaluation (22000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 17:36:45 > Calculating FID Score....
[INFO] 2021-01-15 17:37:13 > Calculating Inception Score....
[INFO] 2021-01-15 17:37:30 > Calculate F_beta Score....
[INFO] 2021-01-15 17:38:27 > Calculate Accuracies....
[INFO] 2021-01-15 17:38:34 > Calculate Accuracies....
[INFO] 2021-01-15 17:38:36 > F_8 score (Step: 22000, Using test images): 0.9795940433389566
[INFO] 2021-01-15 17:38:36 > F_1/8 score (Step: 22000, Using test images): 0.9842173793569927
[INFO] 2021-01-15 17:38:36 > FID score (Step: 22000, Using test moments): 13.517584372610884
[INFO] 2021-01-15 17:38:36 > Inception score (Step: 22000, 10000 generated images): 9.502530097961426
[INFO] 2021-01-15 17:38:36 > Best FID score (Step: 22000, Using test moments): 13.517584372610884
[INFO] 2021-01-15 17:38:37 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 17:39:17 > Step: 22100 Progress: 22.1% Elapsed: 2:50:18 temperature: no ada_p: No Discriminator_loss: 0.601322 Generator_loss: 1.48589
[INFO] 2021-01-15 17:39:58 > Step: 22200 Progress: 22.2% Elapsed: 2:50:59 temperature: no ada_p: No Discriminator_loss: 0.470506 Generator_loss: 1.65913
[INFO] 2021-01-15 17:40:38 > Step: 22300 Progress: 22.3% Elapsed: 2:51:39 temperature: no ada_p: No Discriminator_loss: 0.617718 Generator_loss: 1.43155
[INFO] 2021-01-15 17:41:20 > Step: 22400 Progress: 22.4% Elapsed: 2:52:20 temperature: no ada_p: No Discriminator_loss: 0.48305 Generator_loss: 1.67335
[INFO] 2021-01-15 17:42:01 > Step: 22500 Progress: 22.5% Elapsed: 2:53:02 temperature: no ada_p: No Discriminator_loss: 0.373954 Generator_loss: 1.19762
[INFO] 2021-01-15 17:42:41 > Step: 22600 Progress: 22.6% Elapsed: 2:53:42 temperature: no ada_p: No Discriminator_loss: 0.497398 Generator_loss: 1.68313
[INFO] 2021-01-15 17:43:22 > Step: 22700 Progress: 22.7% Elapsed: 2:54:23 temperature: no ada_p: No Discriminator_loss: 0.6042 Generator_loss: 1.59282
[INFO] 2021-01-15 17:44:02 > Step: 22800 Progress: 22.8% Elapsed: 2:55:03 temperature: no ada_p: No Discriminator_loss: 0.49328 Generator_loss: 1.25833
[INFO] 2021-01-15 17:44:43 > Step: 22900 Progress: 22.9% Elapsed: 2:55:44 temperature: no ada_p: No Discriminator_loss: 0.555258 Generator_loss: 0.482378
[INFO] 2021-01-15 17:45:25 > Step: 23000 Progress: 23.0% Elapsed: 2:56:25 temperature: no ada_p: No Discriminator_loss: 1.1036 Generator_loss: 1.40898
[INFO] 2021-01-15 17:46:05 > Step: 23100 Progress: 23.1% Elapsed: 2:57:05 temperature: no ada_p: No Discriminator_loss: 0.572959 Generator_loss: 1.95218
[INFO] 2021-01-15 17:46:46 > Step: 23200 Progress: 23.2% Elapsed: 2:57:47 temperature: no ada_p: No Discriminator_loss: 0.664719 Generator_loss: 1.52433
[INFO] 2021-01-15 17:47:27 > Step: 23300 Progress: 23.3% Elapsed: 2:58:28 temperature: no ada_p: No Discriminator_loss: 0.663078 Generator_loss: 1.53606
[INFO] 2021-01-15 17:48:06 > Step: 23400 Progress: 23.4% Elapsed: 2:59:07 temperature: no ada_p: No Discriminator_loss: 0.664213 Generator_loss: 1.48017
[INFO] 2021-01-15 17:48:47 > Step: 23500 Progress: 23.5% Elapsed: 2:59:48 temperature: no ada_p: No Discriminator_loss: 0.5239 Generator_loss: 1.67046
[INFO] 2021-01-15 17:49:28 > Step: 23600 Progress: 23.6% Elapsed: 3:00:29 temperature: no ada_p: No Discriminator_loss: 0.684723 Generator_loss: 1.16651
[INFO] 2021-01-15 17:50:08 > Step: 23700 Progress: 23.7% Elapsed: 3:01:09 temperature: no ada_p: No Discriminator_loss: 0.542062 Generator_loss: 1.48519
[INFO] 2021-01-15 17:50:49 > Step: 23800 Progress: 23.8% Elapsed: 3:01:50 temperature: no ada_p: No Discriminator_loss: 0.544073 Generator_loss: 0.715059
[INFO] 2021-01-15 17:51:30 > Step: 23900 Progress: 23.9% Elapsed: 3:02:31 temperature: no ada_p: No Discriminator_loss: 0.515089 Generator_loss: 0.755715
[INFO] 2021-01-15 17:52:10 > Step: 24000 Progress: 24.0% Elapsed: 3:03:11 temperature: no ada_p: No Discriminator_loss: 0.585154 Generator_loss: 1.20285
[INFO] 2021-01-15 17:52:10 > Start Evaluation (24000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 17:52:10 > Calculating FID Score....
[INFO] 2021-01-15 17:52:38 > Calculating Inception Score....
[INFO] 2021-01-15 17:52:56 > Calculate F_beta Score....
[INFO] 2021-01-15 17:53:54 > Calculate Accuracies....
[INFO] 2021-01-15 17:54:01 > Calculate Accuracies....
[INFO] 2021-01-15 17:54:03 > F_8 score (Step: 24000, Using test images): 0.9839882052803204
[INFO] 2021-01-15 17:54:03 > F_1/8 score (Step: 24000, Using test images): 0.9859859815308394
[INFO] 2021-01-15 17:54:03 > FID score (Step: 24000, Using test moments): 12.82513033312506
[INFO] 2021-01-15 17:54:03 > Inception score (Step: 24000, 10000 generated images): 9.47920036315918
[INFO] 2021-01-15 17:54:03 > Best FID score (Step: 24000, Using test moments): 12.82513033312506
[INFO] 2021-01-15 17:54:03 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 17:54:44 > Step: 24100 Progress: 24.1% Elapsed: 3:05:45 temperature: no ada_p: No Discriminator_loss: 0.532882 Generator_loss: 1.45089
[INFO] 2021-01-15 17:55:24 > Step: 24200 Progress: 24.2% Elapsed: 3:06:25 temperature: no ada_p: No Discriminator_loss: 0.498216 Generator_loss: 1.44538
[INFO] 2021-01-15 17:56:05 > Step: 24300 Progress: 24.3% Elapsed: 3:07:06 temperature: no ada_p: No Discriminator_loss: 0.543822 Generator_loss: 1.35765
[INFO] 2021-01-15 17:56:46 > Step: 24400 Progress: 24.4% Elapsed: 3:07:47 temperature: no ada_p: No Discriminator_loss: 0.486821 Generator_loss: 1.02177
[INFO] 2021-01-15 17:57:26 > Step: 24500 Progress: 24.5% Elapsed: 3:08:27 temperature: no ada_p: No Discriminator_loss: 0.610291 Generator_loss: 1.06381
[INFO] 2021-01-15 17:58:08 > Step: 24600 Progress: 24.6% Elapsed: 3:09:09 temperature: no ada_p: No Discriminator_loss: 0.816474 Generator_loss: 0.615311
[INFO] 2021-01-15 17:58:49 > Step: 24700 Progress: 24.7% Elapsed: 3:09:50 temperature: no ada_p: No Discriminator_loss: 0.805897 Generator_loss: 2.44487
[INFO] 2021-01-15 17:59:29 > Step: 24800 Progress: 24.8% Elapsed: 3:10:30 temperature: no ada_p: No Discriminator_loss: 0.527877 Generator_loss: 1.87757
[INFO] 2021-01-15 18:00:10 > Step: 24900 Progress: 24.9% Elapsed: 3:11:11 temperature: no ada_p: No Discriminator_loss: 0.584085 Generator_loss: 1.75286
[INFO] 2021-01-15 18:00:51 > Step: 25000 Progress: 25.0% Elapsed: 3:11:52 temperature: no ada_p: No Discriminator_loss: 0.572458 Generator_loss: 1.79648
[INFO] 2021-01-15 18:01:31 > Step: 25100 Progress: 25.1% Elapsed: 3:12:32 temperature: no ada_p: No Discriminator_loss: 0.59898 Generator_loss: 1.95443
[INFO] 2021-01-15 18:02:12 > Step: 25200 Progress: 25.2% Elapsed: 3:13:13 temperature: no ada_p: No Discriminator_loss: 0.7071 Generator_loss: 1.14648
[INFO] 2021-01-15 18:02:52 > Step: 25300 Progress: 25.3% Elapsed: 3:13:53 temperature: no ada_p: No Discriminator_loss: 0.49771 Generator_loss: 1.69413
[INFO] 2021-01-15 18:03:33 > Step: 25400 Progress: 25.4% Elapsed: 3:14:34 temperature: no ada_p: No Discriminator_loss: 0.39517 Generator_loss: 1.40905
[INFO] 2021-01-15 18:04:14 > Step: 25500 Progress: 25.5% Elapsed: 3:15:15 temperature: no ada_p: No Discriminator_loss: 0.339408 Generator_loss: 1.35232
[INFO] 2021-01-15 18:04:54 > Step: 25600 Progress: 25.6% Elapsed: 3:15:55 temperature: no ada_p: No Discriminator_loss: 0.56607 Generator_loss: 2.02905
[INFO] 2021-01-15 18:05:35 > Step: 25700 Progress: 25.7% Elapsed: 3:16:36 temperature: no ada_p: No Discriminator_loss: 0.368096 Generator_loss: 1.40668
[INFO] 2021-01-15 18:06:16 > Step: 25800 Progress: 25.8% Elapsed: 3:17:17 temperature: no ada_p: No Discriminator_loss: 0.378822 Generator_loss: 2.59336
[INFO] 2021-01-15 18:06:56 > Step: 25900 Progress: 25.9% Elapsed: 3:17:57 temperature: no ada_p: No Discriminator_loss: 0.665046 Generator_loss: 1.06447
[INFO] 2021-01-15 18:07:37 > Step: 26000 Progress: 26.0% Elapsed: 3:18:38 temperature: no ada_p: No Discriminator_loss: 0.532187 Generator_loss: 1.24978
[INFO] 2021-01-15 18:07:37 > Start Evaluation (26000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 18:07:37 > Calculating FID Score....
[INFO] 2021-01-15 18:08:04 > Calculating Inception Score....
[INFO] 2021-01-15 18:08:21 > Calculate F_beta Score....
[INFO] 2021-01-15 18:09:18 > Calculate Accuracies....
[INFO] 2021-01-15 18:09:25 > Calculate Accuracies....
[INFO] 2021-01-15 18:09:26 > F_8 score (Step: 26000, Using test images): 0.9821622260301696
[INFO] 2021-01-15 18:09:26 > F_1/8 score (Step: 26000, Using test images): 0.9868707776172596
[INFO] 2021-01-15 18:09:26 > FID score (Step: 26000, Using test moments): 12.089191252734281
[INFO] 2021-01-15 18:09:26 > Inception score (Step: 26000, 10000 generated images): 9.387242317199707
[INFO] 2021-01-15 18:09:26 > Best FID score (Step: 26000, Using test moments): 12.089191252734281
[INFO] 2021-01-15 18:09:27 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 18:10:08 > Step: 26100 Progress: 26.1% Elapsed: 3:21:09 temperature: no ada_p: No Discriminator_loss: 0.370405 Generator_loss: 2.23794
[INFO] 2021-01-15 18:10:48 > Step: 26200 Progress: 26.2% Elapsed: 3:21:49 temperature: no ada_p: No Discriminator_loss: 0.951165 Generator_loss: 2.25013
[INFO] 2021-01-15 18:11:29 > Step: 26300 Progress: 26.3% Elapsed: 3:22:30 temperature: no ada_p: No Discriminator_loss: 0.69437 Generator_loss: 0.953856
[INFO] 2021-01-15 18:12:10 > Step: 26400 Progress: 26.4% Elapsed: 3:23:11 temperature: no ada_p: No Discriminator_loss: 0.631957 Generator_loss: 0.797889
[INFO] 2021-01-15 18:12:51 > Step: 26500 Progress: 26.5% Elapsed: 3:23:52 temperature: no ada_p: No Discriminator_loss: 1.11622 Generator_loss: 2.41712
[INFO] 2021-01-15 18:13:32 > Step: 26600 Progress: 26.6% Elapsed: 3:24:33 temperature: no ada_p: No Discriminator_loss: 0.57095 Generator_loss: 1.87722
[INFO] 2021-01-15 18:14:12 > Step: 26700 Progress: 26.7% Elapsed: 3:25:13 temperature: no ada_p: No Discriminator_loss: 0.554733 Generator_loss: 1.72038
[INFO] 2021-01-15 18:14:53 > Step: 26800 Progress: 26.8% Elapsed: 3:25:54 temperature: no ada_p: No Discriminator_loss: 0.538353 Generator_loss: 1.46815
[INFO] 2021-01-15 18:15:34 > Step: 26900 Progress: 26.9% Elapsed: 3:26:35 temperature: no ada_p: No Discriminator_loss: 0.615527 Generator_loss: 1.91578
[INFO] 2021-01-15 18:16:14 > Step: 27000 Progress: 27.0% Elapsed: 3:27:15 temperature: no ada_p: No Discriminator_loss: 0.739887 Generator_loss: 0.713142
[INFO] 2021-01-15 18:16:55 > Step: 27100 Progress: 27.1% Elapsed: 3:27:56 temperature: no ada_p: No Discriminator_loss: 0.596714 Generator_loss: 1.86386
[INFO] 2021-01-15 18:17:36 > Step: 27200 Progress: 27.2% Elapsed: 3:28:37 temperature: no ada_p: No Discriminator_loss: 0.564955 Generator_loss: 1.60675
[INFO] 2021-01-15 18:18:16 > Step: 27300 Progress: 27.3% Elapsed: 3:29:17 temperature: no ada_p: No Discriminator_loss: 0.577225 Generator_loss: 2.12834
[INFO] 2021-01-15 18:18:57 > Step: 27400 Progress: 27.4% Elapsed: 3:29:58 temperature: no ada_p: No Discriminator_loss: 0.450313 Generator_loss: 1.58295
[INFO] 2021-01-15 18:19:38 > Step: 27500 Progress: 27.5% Elapsed: 3:30:39 temperature: no ada_p: No Discriminator_loss: 0.504893 Generator_loss: 1.52739
[INFO] 2021-01-15 18:20:17 > Step: 27600 Progress: 27.6% Elapsed: 3:31:18 temperature: no ada_p: No Discriminator_loss: 0.575921 Generator_loss: 1.57955
[INFO] 2021-01-15 18:20:58 > Step: 27700 Progress: 27.7% Elapsed: 3:31:59 temperature: no ada_p: No Discriminator_loss: 0.387903 Generator_loss: 1.11605
[INFO] 2021-01-15 18:21:38 > Step: 27800 Progress: 27.8% Elapsed: 3:32:39 temperature: no ada_p: No Discriminator_loss: 0.421547 Generator_loss: 1.79054
[INFO] 2021-01-15 18:22:19 > Step: 27900 Progress: 27.9% Elapsed: 3:33:20 temperature: no ada_p: No Discriminator_loss: 0.587451 Generator_loss: 1.7103
[INFO] 2021-01-15 18:23:00 > Step: 28000 Progress: 28.0% Elapsed: 3:34:01 temperature: no ada_p: No Discriminator_loss: 0.697476 Generator_loss: 0.792053
[INFO] 2021-01-15 18:23:00 > Start Evaluation (28000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 18:23:00 > Calculating FID Score....
[INFO] 2021-01-15 18:23:28 > Calculating Inception Score....
[INFO] 2021-01-15 18:23:45 > Calculate F_beta Score....
[INFO] 2021-01-15 18:24:42 > Calculate Accuracies....
[INFO] 2021-01-15 18:24:49 > Calculate Accuracies....
[INFO] 2021-01-15 18:24:51 > F_8 score (Step: 28000, Using test images): 0.984317113597232
[INFO] 2021-01-15 18:24:51 > F_1/8 score (Step: 28000, Using test images): 0.9896321710651141
[INFO] 2021-01-15 18:24:51 > FID score (Step: 28000, Using test moments): 11.606062351767775
[INFO] 2021-01-15 18:24:51 > Inception score (Step: 28000, 10000 generated images): 9.539498329162598
[INFO] 2021-01-15 18:24:51 > Best FID score (Step: 28000, Using test moments): 11.606062351767775
[INFO] 2021-01-15 18:24:52 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 18:25:31 > Step: 28100 Progress: 28.1% Elapsed: 3:36:32 temperature: no ada_p: No Discriminator_loss: 0.443205 Generator_loss: 1.60628
[INFO] 2021-01-15 18:26:12 > Step: 28200 Progress: 28.2% Elapsed: 3:37:13 temperature: no ada_p: No Discriminator_loss: 0.781122 Generator_loss: 0.806652
[INFO] 2021-01-15 18:26:54 > Step: 28300 Progress: 28.3% Elapsed: 3:37:55 temperature: no ada_p: No Discriminator_loss: 0.547287 Generator_loss: 1.9519
[INFO] 2021-01-15 18:27:34 > Step: 28400 Progress: 28.4% Elapsed: 3:38:35 temperature: no ada_p: No Discriminator_loss: 0.686842 Generator_loss: 2.1494
[INFO] 2021-01-15 18:28:16 > Step: 28500 Progress: 28.5% Elapsed: 3:39:16 temperature: no ada_p: No Discriminator_loss: 0.56606 Generator_loss: 1.87315
[INFO] 2021-01-15 18:28:57 > Step: 28600 Progress: 28.6% Elapsed: 3:39:58 temperature: no ada_p: No Discriminator_loss: 0.568063 Generator_loss: 1.96694
[INFO] 2021-01-15 18:29:37 > Step: 28700 Progress: 28.7% Elapsed: 3:40:38 temperature: no ada_p: No Discriminator_loss: 0.716269 Generator_loss: 0.980619
[INFO] 2021-01-15 18:30:18 > Step: 28800 Progress: 28.8% Elapsed: 3:41:19 temperature: no ada_p: No Discriminator_loss: 0.576653 Generator_loss: 1.36982
[INFO] 2021-01-15 18:30:59 > Step: 28900 Progress: 28.9% Elapsed: 3:42:00 temperature: no ada_p: No Discriminator_loss: 0.361793 Generator_loss: 1.69321
[INFO] 2021-01-15 18:31:39 > Step: 29000 Progress: 29.0% Elapsed: 3:42:40 temperature: no ada_p: No Discriminator_loss: 0.573863 Generator_loss: 1.45713
[INFO] 2021-01-15 18:32:20 > Step: 29100 Progress: 29.1% Elapsed: 3:43:21 temperature: no ada_p: No Discriminator_loss: 0.819726 Generator_loss: 0.579189
[INFO] 2021-01-15 18:33:00 > Step: 29200 Progress: 29.2% Elapsed: 3:44:01 temperature: no ada_p: No Discriminator_loss: 0.554508 Generator_loss: 0.913125
[INFO] 2021-01-15 18:33:41 > Step: 29300 Progress: 29.3% Elapsed: 3:44:42 temperature: no ada_p: No Discriminator_loss: 0.551303 Generator_loss: 1.1933
[INFO] 2021-01-15 18:34:22 > Step: 29400 Progress: 29.4% Elapsed: 3:45:23 temperature: no ada_p: No Discriminator_loss: 0.58463 Generator_loss: 1.02082
[INFO] 2021-01-15 18:35:02 > Step: 29500 Progress: 29.5% Elapsed: 3:46:03 temperature: no ada_p: No Discriminator_loss: 0.354334 Generator_loss: 1.52413
[INFO] 2021-01-15 18:35:43 > Step: 29600 Progress: 29.6% Elapsed: 3:46:44 temperature: no ada_p: No Discriminator_loss: 0.526221 Generator_loss: 1.87701
[INFO] 2021-01-15 18:36:24 > Step: 29700 Progress: 29.7% Elapsed: 3:47:25 temperature: no ada_p: No Discriminator_loss: 0.515848 Generator_loss: 1.76666
[INFO] 2021-01-15 18:37:04 > Step: 29800 Progress: 29.8% Elapsed: 3:48:05 temperature: no ada_p: No Discriminator_loss: 0.519238 Generator_loss: 1.19832
[INFO] 2021-01-15 18:37:45 > Step: 29900 Progress: 29.9% Elapsed: 3:48:46 temperature: no ada_p: No Discriminator_loss: 0.482869 Generator_loss: 1.46679
[INFO] 2021-01-15 18:38:26 > Step: 30000 Progress: 30.0% Elapsed: 3:49:26 temperature: no ada_p: No Discriminator_loss: 0.698364 Generator_loss: 1.25206
[INFO] 2021-01-15 18:38:26 > Start Evaluation (30000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 18:38:26 > Calculating FID Score....
[INFO] 2021-01-15 18:38:53 > Calculating Inception Score....
[INFO] 2021-01-15 18:39:10 > Calculate F_beta Score....
[INFO] 2021-01-15 18:40:08 > Calculate Accuracies....
[INFO] 2021-01-15 18:40:15 > Calculate Accuracies....
[INFO] 2021-01-15 18:40:16 > F_8 score (Step: 30000, Using test images): 0.9872437792909639
[INFO] 2021-01-15 18:40:16 > F_1/8 score (Step: 30000, Using test images): 0.9892884201403341
[INFO] 2021-01-15 18:40:16 > FID score (Step: 30000, Using test moments): 11.207787102067016
[INFO] 2021-01-15 18:40:16 > Inception score (Step: 30000, 10000 generated images): 9.599821090698242
[INFO] 2021-01-15 18:40:16 > Best FID score (Step: 30000, Using test moments): 11.207787102067016
[INFO] 2021-01-15 18:40:17 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 18:40:56 > Step: 30100 Progress: 30.1% Elapsed: 3:51:57 temperature: no ada_p: No Discriminator_loss: 0.600118 Generator_loss: 2.13185
[INFO] 2021-01-15 18:41:37 > Step: 30200 Progress: 30.2% Elapsed: 3:52:38 temperature: no ada_p: No Discriminator_loss: 0.648949 Generator_loss: 2.32171
[INFO] 2021-01-15 18:42:17 > Step: 30300 Progress: 30.3% Elapsed: 3:53:18 temperature: no ada_p: No Discriminator_loss: 0.379296 Generator_loss: 1.10872
[INFO] 2021-01-15 18:42:58 > Step: 30400 Progress: 30.4% Elapsed: 3:53:59 temperature: no ada_p: No Discriminator_loss: 0.389013 Generator_loss: 1.39597
[INFO] 2021-01-15 18:43:40 > Step: 30500 Progress: 30.5% Elapsed: 3:54:41 temperature: no ada_p: No Discriminator_loss: 0.524674 Generator_loss: 1.2975
[INFO] 2021-01-15 18:44:20 > Step: 30600 Progress: 30.6% Elapsed: 3:55:21 temperature: no ada_p: No Discriminator_loss: 0.477646 Generator_loss: 0.757705
[INFO] 2021-01-15 18:45:01 > Step: 30700 Progress: 30.7% Elapsed: 3:56:02 temperature: no ada_p: No Discriminator_loss: 0.636077 Generator_loss: 1.08291
[INFO] 2021-01-15 18:45:42 > Step: 30800 Progress: 30.8% Elapsed: 3:56:43 temperature: no ada_p: No Discriminator_loss: 0.488254 Generator_loss: 1.90743
[INFO] 2021-01-15 18:46:22 > Step: 30900 Progress: 30.9% Elapsed: 3:57:23 temperature: no ada_p: No Discriminator_loss: 0.383196 Generator_loss: 1.03596
[INFO] 2021-01-15 18:47:03 > Step: 31000 Progress: 31.0% Elapsed: 3:58:04 temperature: no ada_p: No Discriminator_loss: 0.722014 Generator_loss: 1.71005
[INFO] 2021-01-15 18:47:44 > Step: 31100 Progress: 31.1% Elapsed: 3:58:45 temperature: no ada_p: No Discriminator_loss: 0.507579 Generator_loss: 2.35266
[INFO] 2021-01-15 18:48:24 > Step: 31200 Progress: 31.2% Elapsed: 3:59:25 temperature: no ada_p: No Discriminator_loss: 0.510528 Generator_loss: 0.977405
[INFO] 2021-01-15 18:49:05 > Step: 31300 Progress: 31.3% Elapsed: 4:00:06 temperature: no ada_p: No Discriminator_loss: 0.881026 Generator_loss: 0.396752
[INFO] 2021-01-15 18:49:46 > Step: 31400 Progress: 31.4% Elapsed: 4:00:47 temperature: no ada_p: No Discriminator_loss: 0.592356 Generator_loss: 1.92967
[INFO] 2021-01-15 18:50:26 > Step: 31500 Progress: 31.5% Elapsed: 4:01:27 temperature: no ada_p: No Discriminator_loss: 0.702321 Generator_loss: 1.48487
[INFO] 2021-01-15 18:51:07 > Step: 31600 Progress: 31.6% Elapsed: 4:02:08 temperature: no ada_p: No Discriminator_loss: 0.57526 Generator_loss: 1.70218
[INFO] 2021-01-15 18:51:47 > Step: 31700 Progress: 31.7% Elapsed: 4:02:48 temperature: no ada_p: No Discriminator_loss: 0.542351 Generator_loss: 1.77436
[INFO] 2021-01-15 18:52:27 > Step: 31800 Progress: 31.8% Elapsed: 4:03:28 temperature: no ada_p: No Discriminator_loss: 0.758444 Generator_loss: 1.67927
[INFO] 2021-01-15 18:53:08 > Step: 31900 Progress: 31.9% Elapsed: 4:04:09 temperature: no ada_p: No Discriminator_loss: 0.601546 Generator_loss: 1.67506
[INFO] 2021-01-15 18:53:48 > Step: 32000 Progress: 32.0% Elapsed: 4:04:49 temperature: no ada_p: No Discriminator_loss: 0.40341 Generator_loss: 1.32371
[INFO] 2021-01-15 18:53:48 > Start Evaluation (32000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 18:53:48 > Calculating FID Score....
[INFO] 2021-01-15 18:54:16 > Calculating Inception Score....
[INFO] 2021-01-15 18:54:33 > Calculate F_beta Score....
[INFO] 2021-01-15 18:55:31 > Calculate Accuracies....
[INFO] 2021-01-15 18:55:38 > Calculate Accuracies....
[INFO] 2021-01-15 18:55:39 > F_8 score (Step: 32000, Using test images): 0.9806969501169505
[INFO] 2021-01-15 18:55:39 > F_1/8 score (Step: 32000, Using test images): 0.9904965557933227
[INFO] 2021-01-15 18:55:39 > FID score (Step: 32000, Using test moments): 10.882612052259105
[INFO] 2021-01-15 18:55:39 > Inception score (Step: 32000, 10000 generated images): 9.684271812438965
[INFO] 2021-01-15 18:55:39 > Best FID score (Step: 32000, Using test moments): 10.882612052259105
[INFO] 2021-01-15 18:55:40 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 18:56:21 > Step: 32100 Progress: 32.1% Elapsed: 4:07:22 temperature: no ada_p: No Discriminator_loss: 0.502278 Generator_loss: 1.8029
[INFO] 2021-01-15 18:57:02 > Step: 32200 Progress: 32.2% Elapsed: 4:08:02 temperature: no ada_p: No Discriminator_loss: 0.612938 Generator_loss: 0.86507
[INFO] 2021-01-15 18:57:42 > Step: 32300 Progress: 32.3% Elapsed: 4:08:43 temperature: no ada_p: No Discriminator_loss: 0.392849 Generator_loss: 2.02039
[INFO] 2021-01-15 18:58:23 > Step: 32400 Progress: 32.4% Elapsed: 4:09:24 temperature: no ada_p: No Discriminator_loss: 0.493593 Generator_loss: 0.779612
[INFO] 2021-01-15 18:59:04 > Step: 32500 Progress: 32.5% Elapsed: 4:10:05 temperature: no ada_p: No Discriminator_loss: 0.490859 Generator_loss: 1.438
[INFO] 2021-01-15 18:59:44 > Step: 32600 Progress: 32.6% Elapsed: 4:10:45 temperature: no ada_p: No Discriminator_loss: 0.492702 Generator_loss: 1.22436
[INFO] 2021-01-15 19:00:25 > Step: 32700 Progress: 32.7% Elapsed: 4:11:26 temperature: no ada_p: No Discriminator_loss: 0.442355 Generator_loss: 1.56414
[INFO] 2021-01-15 19:01:05 > Step: 32800 Progress: 32.8% Elapsed: 4:12:06 temperature: no ada_p: No Discriminator_loss: 0.920177 Generator_loss: 0.535222
[INFO] 2021-01-15 19:01:47 > Step: 32900 Progress: 32.9% Elapsed: 4:12:48 temperature: no ada_p: No Discriminator_loss: 0.457596 Generator_loss: 1.46745
[INFO] 2021-01-15 19:02:28 > Step: 33000 Progress: 33.0% Elapsed: 4:13:29 temperature: no ada_p: No Discriminator_loss: 0.497442 Generator_loss: 1.14531
[INFO] 2021-01-15 19:03:08 > Step: 33100 Progress: 33.1% Elapsed: 4:14:09 temperature: no ada_p: No Discriminator_loss: 0.4332 Generator_loss: 2.14748
[INFO] 2021-01-15 19:03:49 > Step: 33200 Progress: 33.2% Elapsed: 4:14:50 temperature: no ada_p: No Discriminator_loss: 0.447957 Generator_loss: 0.896416
[INFO] 2021-01-15 19:04:30 > Step: 33300 Progress: 33.3% Elapsed: 4:15:31 temperature: no ada_p: No Discriminator_loss: 1.17387 Generator_loss: 1.05396
[INFO] 2021-01-15 19:05:10 > Step: 33400 Progress: 33.4% Elapsed: 4:16:11 temperature: no ada_p: No Discriminator_loss: 0.475854 Generator_loss: 1.49311
[INFO] 2021-01-15 19:05:51 > Step: 33500 Progress: 33.5% Elapsed: 4:16:52 temperature: no ada_p: No Discriminator_loss: 0.470273 Generator_loss: 1.48591
[INFO] 2021-01-15 19:06:32 > Step: 33600 Progress: 33.6% Elapsed: 4:17:33 temperature: no ada_p: No Discriminator_loss: 0.452808 Generator_loss: 1.80042
[INFO] 2021-01-15 19:07:12 > Step: 33700 Progress: 33.7% Elapsed: 4:18:13 temperature: no ada_p: No Discriminator_loss: 0.441813 Generator_loss: 1.56315
[INFO] 2021-01-15 19:07:52 > Step: 33800 Progress: 33.8% Elapsed: 4:18:53 temperature: no ada_p: No Discriminator_loss: 0.521021 Generator_loss: 1.60569
[INFO] 2021-01-15 19:08:33 > Step: 33900 Progress: 33.9% Elapsed: 4:19:34 temperature: no ada_p: No Discriminator_loss: 0.411667 Generator_loss: 1.136
[INFO] 2021-01-15 19:09:13 > Step: 34000 Progress: 34.0% Elapsed: 4:20:14 temperature: no ada_p: No Discriminator_loss: 0.551023 Generator_loss: 1.40162
[INFO] 2021-01-15 19:09:13 > Start Evaluation (34000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 19:09:13 > Calculating FID Score....
[INFO] 2021-01-15 19:09:41 > Calculating Inception Score....
[INFO] 2021-01-15 19:09:58 > Calculate F_beta Score....
[INFO] 2021-01-15 19:10:56 > Calculate Accuracies....
[INFO] 2021-01-15 19:11:03 > Calculate Accuracies....
[INFO] 2021-01-15 19:11:04 > F_8 score (Step: 34000, Using test images): 0.9869623754930238
[INFO] 2021-01-15 19:11:04 > F_1/8 score (Step: 34000, Using test images): 0.9893973793363177
[INFO] 2021-01-15 19:11:04 > FID score (Step: 34000, Using test moments): 10.511906916204282
[INFO] 2021-01-15 19:11:04 > Inception score (Step: 34000, 10000 generated images): 9.728460311889648
[INFO] 2021-01-15 19:11:04 > Best FID score (Step: 34000, Using test moments): 10.511906916204282
[INFO] 2021-01-15 19:11:05 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 19:11:46 > Step: 34100 Progress: 34.1% Elapsed: 4:22:47 temperature: no ada_p: No Discriminator_loss: 0.672207 Generator_loss: 1.25879
[INFO] 2021-01-15 19:12:26 > Step: 34200 Progress: 34.2% Elapsed: 4:23:26 temperature: no ada_p: No Discriminator_loss: 0.409721 Generator_loss: 1.51761
[INFO] 2021-01-15 19:13:07 > Step: 34300 Progress: 34.3% Elapsed: 4:24:08 temperature: no ada_p: No Discriminator_loss: 0.420549 Generator_loss: 1.62189
[INFO] 2021-01-15 19:13:48 > Step: 34400 Progress: 34.4% Elapsed: 4:24:49 temperature: no ada_p: No Discriminator_loss: 0.503798 Generator_loss: 1.8667
[INFO] 2021-01-15 19:14:28 > Step: 34500 Progress: 34.5% Elapsed: 4:25:29 temperature: no ada_p: No Discriminator_loss: 0.545616 Generator_loss: 1.70429
[INFO] 2021-01-15 19:15:09 > Step: 34600 Progress: 34.6% Elapsed: 4:26:10 temperature: no ada_p: No Discriminator_loss: 0.507245 Generator_loss: 0.301764
[INFO] 2021-01-15 19:15:50 > Step: 34700 Progress: 34.7% Elapsed: 4:26:51 temperature: no ada_p: No Discriminator_loss: 0.517607 Generator_loss: 2.02955
[INFO] 2021-01-15 19:16:31 > Step: 34800 Progress: 34.8% Elapsed: 4:27:31 temperature: no ada_p: No Discriminator_loss: 0.606334 Generator_loss: 1.58437
[INFO] 2021-01-15 19:17:11 > Step: 34900 Progress: 34.9% Elapsed: 4:28:12 temperature: no ada_p: No Discriminator_loss: 0.543255 Generator_loss: 1.82017
[INFO] 2021-01-15 19:17:52 > Step: 35000 Progress: 35.0% Elapsed: 4:28:53 temperature: no ada_p: No Discriminator_loss: 0.336325 Generator_loss: 1.44244
[INFO] 2021-01-15 19:18:33 > Step: 35100 Progress: 35.1% Elapsed: 4:29:34 temperature: no ada_p: No Discriminator_loss: 0.990001 Generator_loss: 0.561314
[INFO] 2021-01-15 19:19:13 > Step: 35200 Progress: 35.2% Elapsed: 4:30:14 temperature: no ada_p: No Discriminator_loss: 0.682723 Generator_loss: 1.35621
[INFO] 2021-01-15 19:19:53 > Step: 35300 Progress: 35.3% Elapsed: 4:30:54 temperature: no ada_p: No Discriminator_loss: 0.493835 Generator_loss: 1.23634
[INFO] 2021-01-15 19:20:34 > Step: 35400 Progress: 35.4% Elapsed: 4:31:35 temperature: no ada_p: No Discriminator_loss: 0.622678 Generator_loss: 1.45648
[INFO] 2021-01-15 19:21:15 > Step: 35500 Progress: 35.5% Elapsed: 4:32:16 temperature: no ada_p: No Discriminator_loss: 0.538001 Generator_loss: 1.93513
[INFO] 2021-01-15 19:21:55 > Step: 35600 Progress: 35.6% Elapsed: 4:32:56 temperature: no ada_p: No Discriminator_loss: 0.490548 Generator_loss: 1.29402
[INFO] 2021-01-15 19:22:36 > Step: 35700 Progress: 35.7% Elapsed: 4:33:37 temperature: no ada_p: No Discriminator_loss: 0.392747 Generator_loss: 1.14612
[INFO] 2021-01-15 19:23:17 > Step: 35800 Progress: 35.8% Elapsed: 4:34:18 temperature: no ada_p: No Discriminator_loss: 0.467741 Generator_loss: 2.34966
[INFO] 2021-01-15 19:23:57 > Step: 35900 Progress: 35.9% Elapsed: 4:34:58 temperature: no ada_p: No Discriminator_loss: 0.559287 Generator_loss: 1.48722
[INFO] 2021-01-15 19:24:38 > Step: 36000 Progress: 36.0% Elapsed: 4:35:39 temperature: no ada_p: No Discriminator_loss: 0.422835 Generator_loss: 1.9772
[INFO] 2021-01-15 19:24:38 > Start Evaluation (36000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 19:24:38 > Calculating FID Score....
[INFO] 2021-01-15 19:25:06 > Calculating Inception Score....
[INFO] 2021-01-15 19:25:23 > Calculate F_beta Score....
[INFO] 2021-01-15 19:26:20 > Calculate Accuracies....
[INFO] 2021-01-15 19:26:27 > Calculate Accuracies....
[INFO] 2021-01-15 19:26:28 > F_8 score (Step: 36000, Using test images): 0.9872950195513498
[INFO] 2021-01-15 19:26:28 > F_1/8 score (Step: 36000, Using test images): 0.9908229078782447
[INFO] 2021-01-15 19:26:28 > FID score (Step: 36000, Using test moments): 9.942959497652907
[INFO] 2021-01-15 19:26:28 > Inception score (Step: 36000, 10000 generated images): 9.783252716064453
[INFO] 2021-01-15 19:26:28 > Best FID score (Step: 36000, Using test moments): 9.942959497652907
[INFO] 2021-01-15 19:26:29 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 19:27:10 > Step: 36100 Progress: 36.1% Elapsed: 4:38:11 temperature: no ada_p: No Discriminator_loss: 0.439864 Generator_loss: 1.93173
[INFO] 2021-01-15 19:27:50 > Step: 36200 Progress: 36.2% Elapsed: 4:38:50 temperature: no ada_p: No Discriminator_loss: 0.389257 Generator_loss: 1.87725
[INFO] 2021-01-15 19:28:31 > Step: 36300 Progress: 36.3% Elapsed: 4:39:32 temperature: no ada_p: No Discriminator_loss: 0.359658 Generator_loss: 2.02383
[INFO] 2021-01-15 19:29:12 > Step: 36400 Progress: 36.4% Elapsed: 4:40:13 temperature: no ada_p: No Discriminator_loss: 0.48772 Generator_loss: 0.765574
[INFO] 2021-01-15 19:29:52 > Step: 36500 Progress: 36.5% Elapsed: 4:40:53 temperature: no ada_p: No Discriminator_loss: 0.53506 Generator_loss: 1.71415
[INFO] 2021-01-15 19:30:33 > Step: 36600 Progress: 36.6% Elapsed: 4:41:34 temperature: no ada_p: No Discriminator_loss: 0.392021 Generator_loss: 1.80875
[INFO] 2021-01-15 19:31:13 > Step: 36700 Progress: 36.7% Elapsed: 4:42:14 temperature: no ada_p: No Discriminator_loss: 0.571027 Generator_loss: 1.8225
[INFO] 2021-01-15 19:31:54 > Step: 36800 Progress: 36.8% Elapsed: 4:42:55 temperature: no ada_p: No Discriminator_loss: 0.453747 Generator_loss: 1.36321
[INFO] 2021-01-15 19:32:35 > Step: 36900 Progress: 36.9% Elapsed: 4:43:36 temperature: no ada_p: No Discriminator_loss: 0.365616 Generator_loss: 1.19769
[INFO] 2021-01-15 19:33:15 > Step: 37000 Progress: 37.0% Elapsed: 4:44:16 temperature: no ada_p: No Discriminator_loss: 0.603328 Generator_loss: 0.835689
[INFO] 2021-01-15 19:33:56 > Step: 37100 Progress: 37.1% Elapsed: 4:44:57 temperature: no ada_p: No Discriminator_loss: 0.818566 Generator_loss: 1.55162
[INFO] 2021-01-15 19:34:37 > Step: 37200 Progress: 37.2% Elapsed: 4:45:38 temperature: no ada_p: No Discriminator_loss: 0.448532 Generator_loss: 1.76784
[INFO] 2021-01-15 19:35:17 > Step: 37300 Progress: 37.3% Elapsed: 4:46:18 temperature: no ada_p: No Discriminator_loss: 0.643037 Generator_loss: 1.40652
[INFO] 2021-01-15 19:35:58 > Step: 37400 Progress: 37.4% Elapsed: 4:46:59 temperature: no ada_p: No Discriminator_loss: 0.595184 Generator_loss: 1.95874
[INFO] 2021-01-15 19:36:39 > Step: 37500 Progress: 37.5% Elapsed: 4:47:40 temperature: no ada_p: No Discriminator_loss: 0.472106 Generator_loss: 1.53933
[INFO] 2021-01-15 19:37:19 > Step: 37600 Progress: 37.6% Elapsed: 4:48:20 temperature: no ada_p: No Discriminator_loss: 0.520151 Generator_loss: 1.36324
[INFO] 2021-01-15 19:38:00 > Step: 37700 Progress: 37.7% Elapsed: 4:49:01 temperature: no ada_p: No Discriminator_loss: 0.470659 Generator_loss: 1.1565
[INFO] 2021-01-15 19:38:40 > Step: 37800 Progress: 37.8% Elapsed: 4:49:41 temperature: no ada_p: No Discriminator_loss: 0.521789 Generator_loss: 2.06475
[INFO] 2021-01-15 19:39:21 > Step: 37900 Progress: 37.9% Elapsed: 4:50:21 temperature: no ada_p: No Discriminator_loss: 0.491512 Generator_loss: 1.09429
[INFO] 2021-01-15 19:40:01 > Step: 38000 Progress: 38.0% Elapsed: 4:51:02 temperature: no ada_p: No Discriminator_loss: 0.566799 Generator_loss: 2.41827
[INFO] 2021-01-15 19:40:01 > Start Evaluation (38000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 19:40:01 > Calculating FID Score....
[INFO] 2021-01-15 19:40:29 > Calculating Inception Score....
[INFO] 2021-01-15 19:40:46 > Calculate F_beta Score....
[INFO] 2021-01-15 19:41:43 > Calculate Accuracies....
[INFO] 2021-01-15 19:41:51 > Calculate Accuracies....
[INFO] 2021-01-15 19:41:52 > F_8 score (Step: 38000, Using test images): 0.9921823982608575
[INFO] 2021-01-15 19:41:52 > F_1/8 score (Step: 38000, Using test images): 0.9911881019493335
[INFO] 2021-01-15 19:41:52 > FID score (Step: 38000, Using test moments): 9.98126030833373
[INFO] 2021-01-15 19:41:52 > Inception score (Step: 38000, 10000 generated images): 9.61917495727539
[INFO] 2021-01-15 19:41:52 > Best FID score (Step: 36000, Using test moments): 9.942959497652907
[INFO] 2021-01-15 19:41:52 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 19:42:32 > Step: 38100 Progress: 38.1% Elapsed: 4:53:33 temperature: no ada_p: No Discriminator_loss: 0.50803 Generator_loss: 1.1242
[INFO] 2021-01-15 19:43:13 > Step: 38200 Progress: 38.2% Elapsed: 4:54:14 temperature: no ada_p: No Discriminator_loss: 0.504641 Generator_loss: 1.80721
[INFO] 2021-01-15 19:43:54 > Step: 38300 Progress: 38.3% Elapsed: 4:54:55 temperature: no ada_p: No Discriminator_loss: 0.340546 Generator_loss: 1.07355
[INFO] 2021-01-15 19:44:34 > Step: 38400 Progress: 38.4% Elapsed: 4:55:35 temperature: no ada_p: No Discriminator_loss: 0.632069 Generator_loss: 1.5635
[INFO] 2021-01-15 19:45:16 > Step: 38500 Progress: 38.5% Elapsed: 4:56:17 temperature: no ada_p: No Discriminator_loss: 1.02666 Generator_loss: 0.465237
[INFO] 2021-01-15 19:45:57 > Step: 38600 Progress: 38.6% Elapsed: 4:56:58 temperature: no ada_p: No Discriminator_loss: 0.388672 Generator_loss: 1.32067
[INFO] 2021-01-15 19:46:38 > Step: 38700 Progress: 38.7% Elapsed: 4:57:39 temperature: no ada_p: No Discriminator_loss: 0.723074 Generator_loss: 2.04747
[INFO] 2021-01-15 19:47:20 > Step: 38800 Progress: 38.8% Elapsed: 4:58:21 temperature: no ada_p: No Discriminator_loss: 0.532454 Generator_loss: 2.38387
[INFO] 2021-01-15 19:48:01 > Step: 38900 Progress: 38.9% Elapsed: 4:59:02 temperature: no ada_p: No Discriminator_loss: 0.469393 Generator_loss: 1.52531
[INFO] 2021-01-15 19:48:41 > Step: 39000 Progress: 39.0% Elapsed: 4:59:42 temperature: no ada_p: No Discriminator_loss: 0.414868 Generator_loss: 1.44489
[INFO] 2021-01-15 19:49:22 > Step: 39100 Progress: 39.1% Elapsed: 5:00:23 temperature: no ada_p: No Discriminator_loss: 0.506625 Generator_loss: 1.65527
[INFO] 2021-01-15 19:50:02 > Step: 39200 Progress: 39.2% Elapsed: 5:01:03 temperature: no ada_p: No Discriminator_loss: 0.485129 Generator_loss: 1.6673
[INFO] 2021-01-15 19:50:43 > Step: 39300 Progress: 39.3% Elapsed: 5:01:44 temperature: no ada_p: No Discriminator_loss: 0.541023 Generator_loss: 1.35457
[INFO] 2021-01-15 19:51:24 > Step: 39400 Progress: 39.4% Elapsed: 5:02:25 temperature: no ada_p: No Discriminator_loss: 0.495182 Generator_loss: 1.98708
[INFO] 2021-01-15 19:52:03 > Step: 39500 Progress: 39.5% Elapsed: 5:03:04 temperature: no ada_p: No Discriminator_loss: 0.582892 Generator_loss: 2.30734
[INFO] 2021-01-15 19:52:44 > Step: 39600 Progress: 39.6% Elapsed: 5:03:45 temperature: no ada_p: No Discriminator_loss: 0.484362 Generator_loss: 0.726358
[INFO] 2021-01-15 19:53:25 > Step: 39700 Progress: 39.7% Elapsed: 5:04:26 temperature: no ada_p: No Discriminator_loss: 0.563535 Generator_loss: 1.85361
[INFO] 2021-01-15 19:54:05 > Step: 39800 Progress: 39.8% Elapsed: 5:05:06 temperature: no ada_p: No Discriminator_loss: 0.554346 Generator_loss: 1.28349
[INFO] 2021-01-15 19:54:46 > Step: 39900 Progress: 39.9% Elapsed: 5:05:47 temperature: no ada_p: No Discriminator_loss: 0.610574 Generator_loss: 1.37302
[INFO] 2021-01-15 19:55:27 > Step: 40000 Progress: 40.0% Elapsed: 5:06:28 temperature: no ada_p: No Discriminator_loss: 0.646718 Generator_loss: 2.00951
[INFO] 2021-01-15 19:55:27 > Start Evaluation (40000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 19:55:27 > Calculating FID Score....
[INFO] 2021-01-15 19:55:55 > Calculating Inception Score....
[INFO] 2021-01-15 19:56:12 > Calculate F_beta Score....
[INFO] 2021-01-15 19:57:10 > Calculate Accuracies....
[INFO] 2021-01-15 19:57:17 > Calculate Accuracies....
[INFO] 2021-01-15 19:57:19 > F_8 score (Step: 40000, Using test images): 0.9901591384228552
[INFO] 2021-01-15 19:57:19 > F_1/8 score (Step: 40000, Using test images): 0.9919347391569946
[INFO] 2021-01-15 19:57:19 > FID score (Step: 40000, Using test moments): 9.482217937679764
[INFO] 2021-01-15 19:57:19 > Inception score (Step: 40000, 10000 generated images): 9.913731575012207
[INFO] 2021-01-15 19:57:19 > Best FID score (Step: 40000, Using test moments): 9.482217937679764
[INFO] 2021-01-15 19:57:20 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 19:57:59 > Step: 40100 Progress: 40.1% Elapsed: 5:09:00 temperature: no ada_p: No Discriminator_loss: 0.539201 Generator_loss: 1.12078
[INFO] 2021-01-15 19:58:40 > Step: 40200 Progress: 40.2% Elapsed: 5:09:41 temperature: no ada_p: No Discriminator_loss: 0.432415 Generator_loss: 0.914609
[INFO] 2021-01-15 19:59:21 > Step: 40300 Progress: 40.3% Elapsed: 5:10:22 temperature: no ada_p: No Discriminator_loss: 0.445419 Generator_loss: 1.90533
[INFO] 2021-01-15 20:00:01 > Step: 40400 Progress: 40.4% Elapsed: 5:11:02 temperature: no ada_p: No Discriminator_loss: 0.351232 Generator_loss: 1.19842
[INFO] 2021-01-15 20:00:42 > Step: 40500 Progress: 40.5% Elapsed: 5:11:43 temperature: no ada_p: No Discriminator_loss: 1.03376 Generator_loss: 0.690472
[INFO] 2021-01-15 20:01:22 > Step: 40600 Progress: 40.6% Elapsed: 5:12:23 temperature: no ada_p: No Discriminator_loss: 0.518658 Generator_loss: 1.90888
[INFO] 2021-01-15 20:02:04 > Step: 40700 Progress: 40.7% Elapsed: 5:13:05 temperature: no ada_p: No Discriminator_loss: 0.467436 Generator_loss: 1.7303
[INFO] 2021-01-15 20:02:45 > Step: 40800 Progress: 40.8% Elapsed: 5:13:46 temperature: no ada_p: No Discriminator_loss: 0.350715 Generator_loss: 1.46512
[INFO] 2021-01-15 20:03:25 > Step: 40900 Progress: 40.9% Elapsed: 5:14:26 temperature: no ada_p: No Discriminator_loss: 0.512693 Generator_loss: 0.508103
[INFO] 2021-01-15 20:04:06 > Step: 41000 Progress: 41.0% Elapsed: 5:15:07 temperature: no ada_p: No Discriminator_loss: 0.635939 Generator_loss: 1.87324
[INFO] 2021-01-15 20:04:47 > Step: 41100 Progress: 41.1% Elapsed: 5:15:48 temperature: no ada_p: No Discriminator_loss: 0.551294 Generator_loss: 1.39702
[INFO] 2021-01-15 20:05:27 > Step: 41200 Progress: 41.2% Elapsed: 5:16:28 temperature: no ada_p: No Discriminator_loss: 0.509751 Generator_loss: 1.58908
[INFO] 2021-01-15 20:06:08 > Step: 41300 Progress: 41.3% Elapsed: 5:17:09 temperature: no ada_p: No Discriminator_loss: 0.413698 Generator_loss: 1.97843
[INFO] 2021-01-15 20:06:48 > Step: 41400 Progress: 41.4% Elapsed: 5:17:49 temperature: no ada_p: No Discriminator_loss: 0.471876 Generator_loss: 2.01676
[INFO] 2021-01-15 20:07:29 > Step: 41500 Progress: 41.5% Elapsed: 5:18:30 temperature: no ada_p: No Discriminator_loss: 0.495471 Generator_loss: 1.73021
[INFO] 2021-01-15 20:08:11 > Step: 41600 Progress: 41.6% Elapsed: 5:19:12 temperature: no ada_p: No Discriminator_loss: 0.453855 Generator_loss: 1.69194
[INFO] 2021-01-15 20:08:51 > Step: 41700 Progress: 41.7% Elapsed: 5:19:52 temperature: no ada_p: No Discriminator_loss: 0.442375 Generator_loss: 1.06552
[INFO] 2021-01-15 20:09:32 > Step: 41800 Progress: 41.8% Elapsed: 5:20:33 temperature: no ada_p: No Discriminator_loss: 0.579984 Generator_loss: 1.73908
[INFO] 2021-01-15 20:10:13 > Step: 41900 Progress: 41.9% Elapsed: 5:21:14 temperature: no ada_p: No Discriminator_loss: 0.474227 Generator_loss: 1.68805
[INFO] 2021-01-15 20:10:53 > Step: 42000 Progress: 42.0% Elapsed: 5:21:54 temperature: no ada_p: No Discriminator_loss: 0.491521 Generator_loss: 0.951115
[INFO] 2021-01-15 20:10:53 > Start Evaluation (42000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 20:10:53 > Calculating FID Score....
[INFO] 2021-01-15 20:11:21 > Calculating Inception Score....
[INFO] 2021-01-15 20:11:38 > Calculate F_beta Score....
[INFO] 2021-01-15 20:12:35 > Calculate Accuracies....
[INFO] 2021-01-15 20:12:42 > Calculate Accuracies....
[INFO] 2021-01-15 20:12:44 > F_8 score (Step: 42000, Using test images): 0.9907505469245723
[INFO] 2021-01-15 20:12:44 > F_1/8 score (Step: 42000, Using test images): 0.9931734249233242
[INFO] 2021-01-15 20:12:44 > FID score (Step: 42000, Using test moments): 9.377539747662809
[INFO] 2021-01-15 20:12:44 > Inception score (Step: 42000, 10000 generated images): 9.805886268615723
[INFO] 2021-01-15 20:12:44 > Best FID score (Step: 42000, Using test moments): 9.377539747662809
[INFO] 2021-01-15 20:12:45 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 20:13:25 > Step: 42100 Progress: 42.1% Elapsed: 5:24:26 temperature: no ada_p: No Discriminator_loss: 0.359965 Generator_loss: 2.24757
[INFO] 2021-01-15 20:14:06 > Step: 42200 Progress: 42.2% Elapsed: 5:25:07 temperature: no ada_p: No Discriminator_loss: 0.462916 Generator_loss: 1.59569
[INFO] 2021-01-15 20:14:46 > Step: 42300 Progress: 42.3% Elapsed: 5:25:47 temperature: no ada_p: No Discriminator_loss: 0.51337 Generator_loss: 1.46214
[INFO] 2021-01-15 20:15:28 > Step: 42400 Progress: 42.4% Elapsed: 5:26:28 temperature: no ada_p: No Discriminator_loss: 0.392847 Generator_loss: 1.57719
[INFO] 2021-01-15 20:16:09 > Step: 42500 Progress: 42.5% Elapsed: 5:27:10 temperature: no ada_p: No Discriminator_loss: 0.399519 Generator_loss: 2.04824
[INFO] 2021-01-15 20:16:49 > Step: 42600 Progress: 42.6% Elapsed: 5:27:50 temperature: no ada_p: No Discriminator_loss: 0.570077 Generator_loss: 2.01257
[INFO] 2021-01-15 20:17:30 > Step: 42700 Progress: 42.7% Elapsed: 5:28:31 temperature: no ada_p: No Discriminator_loss: 0.489294 Generator_loss: 1.40707
[INFO] 2021-01-15 20:18:11 > Step: 42800 Progress: 42.8% Elapsed: 5:29:12 temperature: no ada_p: No Discriminator_loss: 0.399009 Generator_loss: 1.82034
[INFO] 2021-01-15 20:18:51 > Step: 42900 Progress: 42.9% Elapsed: 5:29:52 temperature: no ada_p: No Discriminator_loss: 0.62626 Generator_loss: 2.58664
[INFO] 2021-01-15 20:19:32 > Step: 43000 Progress: 43.0% Elapsed: 5:30:33 temperature: no ada_p: No Discriminator_loss: 0.457879 Generator_loss: 1.53222
[INFO] 2021-01-15 20:20:12 > Step: 43100 Progress: 43.1% Elapsed: 5:31:13 temperature: no ada_p: No Discriminator_loss: 0.385757 Generator_loss: 1.98233
[INFO] 2021-01-15 20:20:53 > Step: 43200 Progress: 43.2% Elapsed: 5:31:54 temperature: no ada_p: No Discriminator_loss: 0.622857 Generator_loss: 2.05465
[INFO] 2021-01-15 20:21:34 > Step: 43300 Progress: 43.3% Elapsed: 5:32:35 temperature: no ada_p: No Discriminator_loss: 0.474732 Generator_loss: 1.98107
[INFO] 2021-01-15 20:22:14 > Step: 43400 Progress: 43.4% Elapsed: 5:33:15 temperature: no ada_p: No Discriminator_loss: 0.425738 Generator_loss: 1.49895
[INFO] 2021-01-15 20:22:55 > Step: 43500 Progress: 43.5% Elapsed: 5:33:56 temperature: no ada_p: No Discriminator_loss: 0.659714 Generator_loss: 0.375002
[INFO] 2021-01-15 20:23:36 > Step: 43600 Progress: 43.6% Elapsed: 5:34:37 temperature: no ada_p: No Discriminator_loss: 0.52087 Generator_loss: 1.87328
[INFO] 2021-01-15 20:24:16 > Step: 43700 Progress: 43.7% Elapsed: 5:35:17 temperature: no ada_p: No Discriminator_loss: 0.310482 Generator_loss: 1.55524
[INFO] 2021-01-15 20:24:57 > Step: 43800 Progress: 43.8% Elapsed: 5:35:58 temperature: no ada_p: No Discriminator_loss: 0.404384 Generator_loss: 1.89026
[INFO] 2021-01-15 20:25:38 > Step: 43900 Progress: 43.9% Elapsed: 5:36:38 temperature: no ada_p: No Discriminator_loss: 0.367428 Generator_loss: 1.22445
[INFO] 2021-01-15 20:26:17 > Step: 44000 Progress: 44.0% Elapsed: 5:37:18 temperature: no ada_p: No Discriminator_loss: 0.377979 Generator_loss: 1.7695
[INFO] 2021-01-15 20:26:17 > Start Evaluation (44000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 20:26:17 > Calculating FID Score....
[INFO] 2021-01-15 20:26:45 > Calculating Inception Score....
[INFO] 2021-01-15 20:27:02 > Calculate F_beta Score....
[INFO] 2021-01-15 20:27:59 > Calculate Accuracies....
[INFO] 2021-01-15 20:28:06 > Calculate Accuracies....
[INFO] 2021-01-15 20:28:08 > F_8 score (Step: 44000, Using test images): 0.9907651136848298
[INFO] 2021-01-15 20:28:08 > F_1/8 score (Step: 44000, Using test images): 0.9914972045101111
[INFO] 2021-01-15 20:28:08 > FID score (Step: 44000, Using test moments): 9.243658081635544
[INFO] 2021-01-15 20:28:08 > Inception score (Step: 44000, 10000 generated images): 9.772151947021484
[INFO] 2021-01-15 20:28:08 > Best FID score (Step: 44000, Using test moments): 9.243658081635544
[INFO] 2021-01-15 20:28:09 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 20:28:49 > Step: 44100 Progress: 44.1% Elapsed: 5:39:50 temperature: no ada_p: No Discriminator_loss: 0.302161 Generator_loss: 1.29587
[INFO] 2021-01-15 20:29:29 > Step: 44200 Progress: 44.2% Elapsed: 5:40:30 temperature: no ada_p: No Discriminator_loss: 0.591961 Generator_loss: 1.27569
[INFO] 2021-01-15 20:30:10 > Step: 44300 Progress: 44.3% Elapsed: 5:41:11 temperature: no ada_p: No Discriminator_loss: 0.337647 Generator_loss: 1.3598
[INFO] 2021-01-15 20:30:51 > Step: 44400 Progress: 44.4% Elapsed: 5:41:52 temperature: no ada_p: No Discriminator_loss: 0.339525 Generator_loss: 1.42458
[INFO] 2021-01-15 20:31:31 > Step: 44500 Progress: 44.5% Elapsed: 5:42:32 temperature: no ada_p: No Discriminator_loss: 0.548644 Generator_loss: 0.967213
[INFO] 2021-01-15 20:32:13 > Step: 44600 Progress: 44.6% Elapsed: 5:43:14 temperature: no ada_p: No Discriminator_loss: 0.447358 Generator_loss: 2.2871
[INFO] 2021-01-15 20:32:54 > Step: 44700 Progress: 44.7% Elapsed: 5:43:55 temperature: no ada_p: No Discriminator_loss: 0.358828 Generator_loss: 1.29581
[INFO] 2021-01-15 20:33:34 > Step: 44800 Progress: 44.8% Elapsed: 5:44:35 temperature: no ada_p: No Discriminator_loss: 0.627894 Generator_loss: 1.23853
[INFO] 2021-01-15 20:34:15 > Step: 44900 Progress: 44.9% Elapsed: 5:45:16 temperature: no ada_p: No Discriminator_loss: 0.545205 Generator_loss: 1.29561
[INFO] 2021-01-15 20:34:56 > Step: 45000 Progress: 45.0% Elapsed: 5:45:57 temperature: no ada_p: No Discriminator_loss: 0.344843 Generator_loss: 1.17262
[INFO] 2021-01-15 20:35:36 > Step: 45100 Progress: 45.1% Elapsed: 5:46:37 temperature: no ada_p: No Discriminator_loss: 0.410961 Generator_loss: 0.845614
[INFO] 2021-01-15 20:36:17 > Step: 45200 Progress: 45.2% Elapsed: 5:47:18 temperature: no ada_p: No Discriminator_loss: 0.516364 Generator_loss: 1.67425
[INFO] 2021-01-15 20:36:58 > Step: 45300 Progress: 45.3% Elapsed: 5:47:59 temperature: no ada_p: No Discriminator_loss: 0.332032 Generator_loss: 1.6648
[INFO] 2021-01-15 20:37:37 > Step: 45400 Progress: 45.4% Elapsed: 5:48:38 temperature: no ada_p: No Discriminator_loss: 0.499849 Generator_loss: 1.20014
[INFO] 2021-01-15 20:38:18 > Step: 45500 Progress: 45.5% Elapsed: 5:49:19 temperature: no ada_p: No Discriminator_loss: 0.530594 Generator_loss: 1.46072
[INFO] 2021-01-15 20:38:58 > Step: 45600 Progress: 45.6% Elapsed: 5:49:59 temperature: no ada_p: No Discriminator_loss: 0.373408 Generator_loss: 1.56741
[INFO] 2021-01-15 20:39:39 > Step: 45700 Progress: 45.7% Elapsed: 5:50:40 temperature: no ada_p: No Discriminator_loss: 0.549979 Generator_loss: 1.77211
[INFO] 2021-01-15 20:40:20 > Step: 45800 Progress: 45.8% Elapsed: 5:51:21 temperature: no ada_p: No Discriminator_loss: 0.288612 Generator_loss: 2.06644
[INFO] 2021-01-15 20:41:00 > Step: 45900 Progress: 45.9% Elapsed: 5:52:01 temperature: no ada_p: No Discriminator_loss: 0.413886 Generator_loss: 1.48129
[INFO] 2021-01-15 20:41:42 > Step: 46000 Progress: 46.0% Elapsed: 5:52:43 temperature: no ada_p: No Discriminator_loss: 0.54249 Generator_loss: 1.35683
[INFO] 2021-01-15 20:41:42 > Start Evaluation (46000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 20:41:42 > Calculating FID Score....
[INFO] 2021-01-15 20:42:10 > Calculating Inception Score....
[INFO] 2021-01-15 20:42:27 > Calculate F_beta Score....
[INFO] 2021-01-15 20:43:24 > Calculate Accuracies....
[INFO] 2021-01-15 20:43:31 > Calculate Accuracies....
[INFO] 2021-01-15 20:43:32 > F_8 score (Step: 46000, Using test images): 0.9870022497763107
[INFO] 2021-01-15 20:43:32 > F_1/8 score (Step: 46000, Using test images): 0.9915201783724799
[INFO] 2021-01-15 20:43:32 > FID score (Step: 46000, Using test moments): 9.305627208382703
[INFO] 2021-01-15 20:43:32 > Inception score (Step: 46000, 10000 generated images): 9.677849769592285
[INFO] 2021-01-15 20:43:32 > Best FID score (Step: 44000, Using test moments): 9.243658081635544
[INFO] 2021-01-15 20:43:33 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 20:44:13 > Step: 46100 Progress: 46.1% Elapsed: 5:55:14 temperature: no ada_p: No Discriminator_loss: 0.437666 Generator_loss: 1.47338
[INFO] 2021-01-15 20:44:53 > Step: 46200 Progress: 46.2% Elapsed: 5:55:54 temperature: no ada_p: No Discriminator_loss: 0.442273 Generator_loss: 1.77301
[INFO] 2021-01-15 20:45:34 > Step: 46300 Progress: 46.3% Elapsed: 5:56:35 temperature: no ada_p: No Discriminator_loss: 0.583095 Generator_loss: 1.37169
[INFO] 2021-01-15 20:46:16 > Step: 46400 Progress: 46.4% Elapsed: 5:57:17 temperature: no ada_p: No Discriminator_loss: 0.417901 Generator_loss: 1.67556
[INFO] 2021-01-15 20:46:56 > Step: 46500 Progress: 46.5% Elapsed: 5:57:57 temperature: no ada_p: No Discriminator_loss: 0.642935 Generator_loss: 1.29624
[INFO] 2021-01-15 20:47:37 > Step: 46600 Progress: 46.6% Elapsed: 5:58:38 temperature: no ada_p: No Discriminator_loss: 0.869667 Generator_loss: 2.49003
[INFO] 2021-01-15 20:48:17 > Step: 46700 Progress: 46.7% Elapsed: 5:59:18 temperature: no ada_p: No Discriminator_loss: 0.534707 Generator_loss: 2.33148
[INFO] 2021-01-15 20:48:58 > Step: 46800 Progress: 46.8% Elapsed: 5:59:59 temperature: no ada_p: No Discriminator_loss: 0.342382 Generator_loss: 1.35955
[INFO] 2021-01-15 20:49:39 > Step: 46900 Progress: 46.9% Elapsed: 6:00:40 temperature: no ada_p: No Discriminator_loss: 0.435739 Generator_loss: 1.60765
[INFO] 2021-01-15 20:50:19 > Step: 47000 Progress: 47.0% Elapsed: 6:01:20 temperature: no ada_p: No Discriminator_loss: 0.443161 Generator_loss: 1.25155
[INFO] 2021-01-15 20:51:00 > Step: 47100 Progress: 47.1% Elapsed: 6:02:01 temperature: no ada_p: No Discriminator_loss: 0.494409 Generator_loss: 0.878724
[INFO] 2021-01-15 20:51:42 > Step: 47200 Progress: 47.2% Elapsed: 6:02:43 temperature: no ada_p: No Discriminator_loss: 0.40277 Generator_loss: 1.29661
[INFO] 2021-01-15 20:52:22 > Step: 47300 Progress: 47.3% Elapsed: 6:03:23 temperature: no ada_p: No Discriminator_loss: 0.498366 Generator_loss: 1.25134
[INFO] 2021-01-15 20:53:03 > Step: 47400 Progress: 47.4% Elapsed: 6:04:04 temperature: no ada_p: No Discriminator_loss: 0.330855 Generator_loss: 0.464239
[INFO] 2021-01-15 20:53:44 > Step: 47500 Progress: 47.5% Elapsed: 6:04:44 temperature: no ada_p: No Discriminator_loss: 0.456642 Generator_loss: 1.62565
[INFO] 2021-01-15 20:54:23 > Step: 47600 Progress: 47.6% Elapsed: 6:05:24 temperature: no ada_p: No Discriminator_loss: 0.373523 Generator_loss: 1.86286
[INFO] 2021-01-15 20:55:04 > Step: 47700 Progress: 47.7% Elapsed: 6:06:05 temperature: no ada_p: No Discriminator_loss: 0.517551 Generator_loss: 1.82731
[INFO] 2021-01-15 20:55:45 > Step: 47800 Progress: 47.8% Elapsed: 6:06:46 temperature: no ada_p: No Discriminator_loss: 0.568806 Generator_loss: 1.87669
[INFO] 2021-01-15 20:56:25 > Step: 47900 Progress: 47.9% Elapsed: 6:07:26 temperature: no ada_p: No Discriminator_loss: 0.306385 Generator_loss: 2.00188
[INFO] 2021-01-15 20:57:07 > Step: 48000 Progress: 48.0% Elapsed: 6:08:07 temperature: no ada_p: No Discriminator_loss: 0.470979 Generator_loss: 1.44976
[INFO] 2021-01-15 20:57:07 > Start Evaluation (48000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 20:57:07 > Calculating FID Score....
[INFO] 2021-01-15 20:57:34 > Calculating Inception Score....
[INFO] 2021-01-15 20:57:51 > Calculate F_beta Score....
[INFO] 2021-01-15 20:58:49 > Calculate Accuracies....
[INFO] 2021-01-15 20:58:56 > Calculate Accuracies....
[INFO] 2021-01-15 20:58:57 > F_8 score (Step: 48000, Using test images): 0.989832075321207
[INFO] 2021-01-15 20:58:57 > F_1/8 score (Step: 48000, Using test images): 0.9935110893330955
[INFO] 2021-01-15 20:58:57 > FID score (Step: 48000, Using test moments): 9.19254118152088
[INFO] 2021-01-15 20:58:57 > Inception score (Step: 48000, 10000 generated images): 9.782768249511719
[INFO] 2021-01-15 20:58:57 > Best FID score (Step: 48000, Using test moments): 9.19254118152088
[INFO] 2021-01-15 20:58:58 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 20:59:38 > Step: 48100 Progress: 48.1% Elapsed: 6:10:39 temperature: no ada_p: No Discriminator_loss: 0.467137 Generator_loss: 1.24061
[INFO] 2021-01-15 21:00:18 > Step: 48200 Progress: 48.2% Elapsed: 6:11:19 temperature: no ada_p: No Discriminator_loss: 0.380347 Generator_loss: 1.2884
[INFO] 2021-01-15 21:01:00 > Step: 48300 Progress: 48.3% Elapsed: 6:12:01 temperature: no ada_p: No Discriminator_loss: 0.333055 Generator_loss: 1.91395
[INFO] 2021-01-15 21:01:40 > Step: 48400 Progress: 48.4% Elapsed: 6:12:41 temperature: no ada_p: No Discriminator_loss: 0.462439 Generator_loss: 2.23522
[INFO] 2021-01-15 21:02:21 > Step: 48500 Progress: 48.5% Elapsed: 6:13:22 temperature: no ada_p: No Discriminator_loss: 0.392047 Generator_loss: 1.65031
[INFO] 2021-01-15 21:03:02 > Step: 48600 Progress: 48.6% Elapsed: 6:14:03 temperature: no ada_p: No Discriminator_loss: 0.295685 Generator_loss: 0.633855
[INFO] 2021-01-15 21:03:42 > Step: 48700 Progress: 48.7% Elapsed: 6:14:43 temperature: no ada_p: No Discriminator_loss: 0.451239 Generator_loss: 1.51723
[INFO] 2021-01-15 21:04:23 > Step: 48800 Progress: 48.8% Elapsed: 6:15:24 temperature: no ada_p: No Discriminator_loss: 0.505174 Generator_loss: 1.8837
[INFO] 2021-01-15 21:05:04 > Step: 48900 Progress: 48.9% Elapsed: 6:16:05 temperature: no ada_p: No Discriminator_loss: 0.454973 Generator_loss: 1.34977
[INFO] 2021-01-15 21:05:44 > Step: 49000 Progress: 49.0% Elapsed: 6:16:45 temperature: no ada_p: No Discriminator_loss: 0.393458 Generator_loss: 2.25292
[INFO] 2021-01-15 21:06:25 > Step: 49100 Progress: 49.1% Elapsed: 6:17:26 temperature: no ada_p: No Discriminator_loss: 0.380256 Generator_loss: 2.17546
[INFO] 2021-01-15 21:07:05 > Step: 49200 Progress: 49.2% Elapsed: 6:18:06 temperature: no ada_p: No Discriminator_loss: 0.425877 Generator_loss: 1.07259
[INFO] 2021-01-15 21:07:45 > Step: 49300 Progress: 49.3% Elapsed: 6:18:46 temperature: no ada_p: No Discriminator_loss: 0.357782 Generator_loss: 1.45087
[INFO] 2021-01-15 21:08:26 > Step: 49400 Progress: 49.4% Elapsed: 6:19:27 temperature: no ada_p: No Discriminator_loss: 0.508728 Generator_loss: 1.16815
[INFO] 2021-01-15 21:09:06 > Step: 49500 Progress: 49.5% Elapsed: 6:20:07 temperature: no ada_p: No Discriminator_loss: 0.474276 Generator_loss: 1.34892
[INFO] 2021-01-15 21:09:47 > Step: 49600 Progress: 49.6% Elapsed: 6:20:48 temperature: no ada_p: No Discriminator_loss: 0.29203 Generator_loss: 1.93946
[INFO] 2021-01-15 21:10:28 > Step: 49700 Progress: 49.7% Elapsed: 6:21:29 temperature: no ada_p: No Discriminator_loss: 0.417422 Generator_loss: 1.94177
[INFO] 2021-01-15 21:11:08 > Step: 49800 Progress: 49.8% Elapsed: 6:22:09 temperature: no ada_p: No Discriminator_loss: 0.38243 Generator_loss: 1.31009
[INFO] 2021-01-15 21:11:49 > Step: 49900 Progress: 49.9% Elapsed: 6:22:50 temperature: no ada_p: No Discriminator_loss: 0.355284 Generator_loss: 1.92468
[INFO] 2021-01-15 21:12:29 > Step: 50000 Progress: 50.0% Elapsed: 6:23:30 temperature: no ada_p: No Discriminator_loss: 0.383694 Generator_loss: 1.56535
[INFO] 2021-01-15 21:12:29 > Start Evaluation (50000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 21:12:29 > Calculating FID Score....
[INFO] 2021-01-15 21:12:57 > Calculating Inception Score....
[INFO] 2021-01-15 21:13:14 > Calculate F_beta Score....
[INFO] 2021-01-15 21:14:12 > Calculate Accuracies....
[INFO] 2021-01-15 21:14:19 > Calculate Accuracies....
[INFO] 2021-01-15 21:14:21 > F_8 score (Step: 50000, Using test images): 0.9922444437898436
[INFO] 2021-01-15 21:14:21 > F_1/8 score (Step: 50000, Using test images): 0.9931807148447018
[INFO] 2021-01-15 21:14:21 > FID score (Step: 50000, Using test moments): 8.897375296386201
[INFO] 2021-01-15 21:14:21 > Inception score (Step: 50000, 10000 generated images): 9.798576354980469
[INFO] 2021-01-15 21:14:21 > Best FID score (Step: 50000, Using test moments): 8.897375296386201
[INFO] 2021-01-15 21:14:21 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 21:15:01 > Step: 50100 Progress: 50.1% Elapsed: 6:26:02 temperature: no ada_p: No Discriminator_loss: 0.375876 Generator_loss: 1.8634
[INFO] 2021-01-15 21:15:41 > Step: 50200 Progress: 50.2% Elapsed: 6:26:42 temperature: no ada_p: No Discriminator_loss: 0.271494 Generator_loss: 1.45242
[INFO] 2021-01-15 21:16:22 > Step: 50300 Progress: 50.3% Elapsed: 6:27:23 temperature: no ada_p: No Discriminator_loss: 0.505874 Generator_loss: 2.09781
[INFO] 2021-01-15 21:17:03 > Step: 50400 Progress: 50.4% Elapsed: 6:28:03 temperature: no ada_p: No Discriminator_loss: 0.419734 Generator_loss: 1.7653
[INFO] 2021-01-15 21:17:44 > Step: 50500 Progress: 50.5% Elapsed: 6:28:45 temperature: no ada_p: No Discriminator_loss: 0.540299 Generator_loss: 2.06788
[INFO] 2021-01-15 21:18:24 > Step: 50600 Progress: 50.6% Elapsed: 6:29:25 temperature: no ada_p: No Discriminator_loss: 0.487134 Generator_loss: 1.25085
[INFO] 2021-01-15 21:19:05 > Step: 50700 Progress: 50.7% Elapsed: 6:30:06 temperature: no ada_p: No Discriminator_loss: 0.459759 Generator_loss: 1.63955
[INFO] 2021-01-15 21:19:46 > Step: 50800 Progress: 50.8% Elapsed: 6:30:47 temperature: no ada_p: No Discriminator_loss: 0.465108 Generator_loss: 1.68993
[INFO] 2021-01-15 21:20:26 > Step: 50900 Progress: 50.9% Elapsed: 6:31:27 temperature: no ada_p: No Discriminator_loss: 0.542349 Generator_loss: 2.14075
[INFO] 2021-01-15 21:21:07 > Step: 51000 Progress: 51.0% Elapsed: 6:32:08 temperature: no ada_p: No Discriminator_loss: 0.635854 Generator_loss: 1.46239
[INFO] 2021-01-15 21:21:48 > Step: 51100 Progress: 51.1% Elapsed: 6:32:49 temperature: no ada_p: No Discriminator_loss: 0.530207 Generator_loss: 1.5857
[INFO] 2021-01-15 21:22:28 > Step: 51200 Progress: 51.2% Elapsed: 6:33:29 temperature: no ada_p: No Discriminator_loss: 0.606595 Generator_loss: 2.2687
[INFO] 2021-01-15 21:23:09 > Step: 51300 Progress: 51.3% Elapsed: 6:34:10 temperature: no ada_p: No Discriminator_loss: 0.478514 Generator_loss: 1.33013
[INFO] 2021-01-15 21:23:50 > Step: 51400 Progress: 51.4% Elapsed: 6:34:51 temperature: no ada_p: No Discriminator_loss: 0.465969 Generator_loss: 2.2474
[INFO] 2021-01-15 21:24:29 > Step: 51500 Progress: 51.5% Elapsed: 6:35:30 temperature: no ada_p: No Discriminator_loss: 0.26733 Generator_loss: 1.5876
[INFO] 2021-01-15 21:25:10 > Step: 51600 Progress: 51.6% Elapsed: 6:36:11 temperature: no ada_p: No Discriminator_loss: 0.437966 Generator_loss: 1.11798
[INFO] 2021-01-15 21:25:50 > Step: 51700 Progress: 51.7% Elapsed: 6:36:51 temperature: no ada_p: No Discriminator_loss: 0.545833 Generator_loss: 2.06375
[INFO] 2021-01-15 21:26:31 > Step: 51800 Progress: 51.8% Elapsed: 6:37:32 temperature: no ada_p: No Discriminator_loss: 0.398578 Generator_loss: 1.7483
[INFO] 2021-01-15 21:27:12 > Step: 51900 Progress: 51.9% Elapsed: 6:38:13 temperature: no ada_p: No Discriminator_loss: 0.313522 Generator_loss: 1.76414
[INFO] 2021-01-15 21:27:52 > Step: 52000 Progress: 52.0% Elapsed: 6:38:53 temperature: no ada_p: No Discriminator_loss: 0.357756 Generator_loss: 1.48179
[INFO] 2021-01-15 21:27:52 > Start Evaluation (52000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 21:27:52 > Calculating FID Score....
[INFO] 2021-01-15 21:28:20 > Calculating Inception Score....
[INFO] 2021-01-15 21:28:37 > Calculate F_beta Score....
[INFO] 2021-01-15 21:29:33 > Calculate Accuracies....
[INFO] 2021-01-15 21:29:41 > Calculate Accuracies....
[INFO] 2021-01-15 21:29:42 > F_8 score (Step: 52000, Using test images): 0.9863114006964707
[INFO] 2021-01-15 21:29:42 > F_1/8 score (Step: 52000, Using test images): 0.9938711687454402
[INFO] 2021-01-15 21:29:42 > FID score (Step: 52000, Using test moments): 8.766132224827288
[INFO] 2021-01-15 21:29:42 > Inception score (Step: 52000, 10000 generated images): 9.799064636230469
[INFO] 2021-01-15 21:29:42 > Best FID score (Step: 52000, Using test moments): 8.766132224827288
[INFO] 2021-01-15 21:29:43 > Save model to checkpoints/BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 21:30:23 > Step: 52100 Progress: 52.1% Elapsed: 6:41:24 temperature: no ada_p: No Discriminator_loss: 0.535505 Generator_loss: 1.43066
[INFO] 2021-01-15 21:31:04 > Step: 52200 Progress: 52.2% Elapsed: 6:42:05 temperature: no ada_p: No Discriminator_loss: 0.821914 Generator_loss: 2.02586
[INFO] 2021-01-15 21:31:44 > Step: 52300 Progress: 52.3% Elapsed: 6:42:45 temperature: no ada_p: No Discriminator_loss: 0.470696 Generator_loss: 1.40551
[INFO] 2021-01-15 21:32:25 > Step: 52400 Progress: 52.4% Elapsed: 6:43:26 temperature: no ada_p: No Discriminator_loss: 0.449729 Generator_loss: 2.04266
[INFO] 2021-01-15 21:33:06 > Step: 52500 Progress: 52.5% Elapsed: 6:44:07 temperature: no ada_p: No Discriminator_loss: 0.521878 Generator_loss: 1.67409
[INFO] 2021-01-15 21:33:47 > Step: 52600 Progress: 52.6% Elapsed: 6:44:48 temperature: no ada_p: No Discriminator_loss: 0.887573 Generator_loss: 2.25283
[INFO] 2021-01-15 21:34:28 > Step: 52700 Progress: 52.7% Elapsed: 6:45:29 temperature: no ada_p: No Discriminator_loss: 0.415269 Generator_loss: 2.12478
[INFO] 2021-01-15 21:35:09 > Step: 52800 Progress: 52.8% Elapsed: 6:46:10 temperature: no ada_p: No Discriminator_loss: 0.565505 Generator_loss: 1.05534
[INFO] 2021-01-15 21:35:49 > Step: 52900 Progress: 52.9% Elapsed: 6:46:50 temperature: no ada_p: No Discriminator_loss: 0.617703 Generator_loss: 2.46152
[INFO] 2021-01-15 21:36:30 > Step: 53000 Progress: 53.0% Elapsed: 6:47:31 temperature: no ada_p: No Discriminator_loss: 0.516981 Generator_loss: 1.78795
[INFO] 2021-01-15 21:37:09 > Step: 53100 Progress: 53.1% Elapsed: 6:48:10 temperature: no ada_p: No Discriminator_loss: 0.550766 Generator_loss: 1.9867
[INFO] 2021-01-15 21:37:50 > Step: 53200 Progress: 53.2% Elapsed: 6:48:51 temperature: no ada_p: No Discriminator_loss: 0.641799 Generator_loss: 0.680167
[INFO] 2021-01-15 21:38:31 > Step: 53300 Progress: 53.3% Elapsed: 6:49:32 temperature: no ada_p: No Discriminator_loss: 0.476622 Generator_loss: 2.09102
[INFO] 2021-01-15 21:39:11 > Step: 53400 Progress: 53.4% Elapsed: 6:50:12 temperature: no ada_p: No Discriminator_loss: 0.676114 Generator_loss: 2.26913
[INFO] 2021-01-15 21:39:52 > Step: 53500 Progress: 53.5% Elapsed: 6:50:53 temperature: no ada_p: No Discriminator_loss: 0.677309 Generator_loss: 0.834795
[INFO] 2021-01-15 21:40:33 > Step: 53600 Progress: 53.6% Elapsed: 6:51:34 temperature: no ada_p: No Discriminator_loss: 0.461111 Generator_loss: 2.0351
[INFO] 2021-01-15 21:41:13 > Step: 53700 Progress: 53.7% Elapsed: 6:52:14 temperature: no ada_p: No Discriminator_loss: 0.53555 Generator_loss: 0.585262
[INFO] 2021-01-15 21:41:54 > Step: 53800 Progress: 53.8% Elapsed: 6:52:55 temperature: no ada_p: No Discriminator_loss: 0.53072 Generator_loss: 2.12153
[INFO] 2021-01-15 21:42:34 > Step: 53900 Progress: 53.9% Elapsed: 6:53:35 temperature: no ada_p: No Discriminator_loss: 0.408361 Generator_loss: 1.86107
[INFO] 2021-01-15 21:43:14 > Step: 54000 Progress: 54.0% Elapsed: 6:54:15 temperature: no ada_p: No Discriminator_loss: 0.477921 Generator_loss: 1.31372
[INFO] 2021-01-15 21:43:14 > Start Evaluation (54000 Step): BigGAN-train-2021_01_15_14_48_48
[INFO] 2021-01-15 21:43:14 > Calculating FID Score....
[INFO] 2021-01-15 21:43:42 > Calculating Inception Score....
[INFO] 2021-01-15 21:43:59 > Calculate F_beta Score....
[INFO] 2021-01-15 21:44:57 > Calculate Accuracies....
[INFO] 2021-01-15 21:45:05 > Calculate Accuracies....
[INFO] 2021-01-15 21:45:06 > F_8 score (Step: 54000, Using test images): 0.9888217940144629
[INFO] 2021-01-15 21:45:06 > F_1/8 score (Step: 54000, Using test images): 0.9932635395721804
[INFO] 2021-01-15 21:45:06 > FID score (Step: 54000, Using test moments): 8.931670002120143
[INFO] 2021-01-15 21:45:06 > Inception score (Step: 54000, 10000 generated images): 9.893832206726074