From 4fd56d5e9ffd61089dd67c36c2f7923777c498de Mon Sep 17 00:00:00 2001
From: DejasDejas <julien.dejasmin@outlook.fr>
Date: Thu, 25 Jun 2020 10:41:31 +0200
Subject: [PATCH] update last 2
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dataloader/dataloaders.py | 5 +
main.py | 4 +-
.../param_combinations_chairs.txt | 20 +-
reconstruction_im/charis_VAE_bs_64_ls_15.png | Bin 0 -> 122818 bytes
reconstruction_im/charis_VAE_bs_64_ls_20.png | Bin 0 -> 116835 bytes
reconstruction_im/charis_VAE_bs_64_ls_5.png | Bin 0 -> 116789 bytes
.../charis_beta_VAE_bs_64_ls_15.png | Bin 0 -> 116042 bytes
.../charis_beta_VAE_bs_64_ls_20.png | Bin 0 -> 123708 bytes
.../charis_beta_VAE_bs_64_ls_5.png | Bin 0 -> 119930 bytes
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diff --git a/OAR.2068271.stderr b/OAR.2068271.stderr
deleted file mode 100644
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@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:29:57] Job 2068271 KILLED ##
diff --git a/OAR.2068271.stdout b/OAR.2068271.stdout
deleted file mode 100644
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@@ -1,68 +0,0 @@
-Namespace(batch_size=256, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_256', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=True, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last (iter 171)'
-0/69092 Loss: 147.665
-12800/69092 Loss: 158.181
-25600/69092 Loss: 159.590
-38400/69092 Loss: 158.551
-51200/69092 Loss: 158.112
-64000/69092 Loss: 157.238
-Training time 0:03:48.393375
-Epoch: 1 Average loss: 158.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 172)
-0/69092 Loss: 159.925
-12800/69092 Loss: 158.833
-25600/69092 Loss: 159.460
-38400/69092 Loss: 157.054
-51200/69092 Loss: 157.525
-64000/69092 Loss: 158.482
-Training time 0:03:41.025229
-Epoch: 2 Average loss: 158.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 173)
-0/69092 Loss: 152.283
-12800/69092 Loss: 157.230
-25600/69092 Loss: 157.103
-38400/69092 Loss: 158.817
diff --git a/OAR.2068272.stderr b/OAR.2068272.stderr
deleted file mode 100644
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@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:29:57] Job 2068272 KILLED ##
diff --git a/OAR.2068272.stdout b/OAR.2068272.stdout
deleted file mode 100644
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@@ -1,174 +0,0 @@
-Namespace(batch_size=64, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_64', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=True, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-Tesla K80
-Tesla K80
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last (iter 304)'
-0/69092 Loss: 153.033
-3200/69092 Loss: 151.558
-6400/69092 Loss: 150.062
-9600/69092 Loss: 154.221
-12800/69092 Loss: 151.615
-16000/69092 Loss: 153.931
-19200/69092 Loss: 153.015
-22400/69092 Loss: 153.433
-25600/69092 Loss: 151.584
-28800/69092 Loss: 154.002
-32000/69092 Loss: 153.302
-35200/69092 Loss: 151.154
-38400/69092 Loss: 152.741
-41600/69092 Loss: 153.137
-44800/69092 Loss: 152.327
-48000/69092 Loss: 152.095
-51200/69092 Loss: 150.511
-54400/69092 Loss: 151.692
-57600/69092 Loss: 151.058
-60800/69092 Loss: 155.055
-64000/69092 Loss: 150.898
-67200/69092 Loss: 155.036
-Training time 0:01:58.162781
-Epoch: 1 Average loss: 152.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 305)
-0/69092 Loss: 143.092
-3200/69092 Loss: 153.010
-6400/69092 Loss: 155.530
-9600/69092 Loss: 155.364
-12800/69092 Loss: 151.123
-16000/69092 Loss: 154.058
-19200/69092 Loss: 151.657
-22400/69092 Loss: 153.832
-25600/69092 Loss: 151.606
-28800/69092 Loss: 153.287
-32000/69092 Loss: 150.634
-35200/69092 Loss: 152.244
-38400/69092 Loss: 152.817
-41600/69092 Loss: 152.458
-44800/69092 Loss: 153.017
-48000/69092 Loss: 151.141
-51200/69092 Loss: 154.387
-54400/69092 Loss: 149.705
-57600/69092 Loss: 151.770
-60800/69092 Loss: 151.618
-64000/69092 Loss: 152.999
-67200/69092 Loss: 154.086
-Training time 0:01:57.931589
-Epoch: 2 Average loss: 152.66
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 306)
-0/69092 Loss: 149.850
-3200/69092 Loss: 153.249
-6400/69092 Loss: 153.873
-9600/69092 Loss: 153.335
-12800/69092 Loss: 153.749
-16000/69092 Loss: 148.933
-19200/69092 Loss: 154.976
-22400/69092 Loss: 153.382
-25600/69092 Loss: 151.603
-28800/69092 Loss: 152.808
-32000/69092 Loss: 151.032
-35200/69092 Loss: 151.926
-38400/69092 Loss: 155.662
-41600/69092 Loss: 150.252
-44800/69092 Loss: 152.976
-48000/69092 Loss: 153.162
-51200/69092 Loss: 153.542
-54400/69092 Loss: 152.422
-57600/69092 Loss: 150.808
-60800/69092 Loss: 152.001
-64000/69092 Loss: 153.256
-67200/69092 Loss: 152.930
-Training time 0:01:57.656130
-Epoch: 3 Average loss: 152.64
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 307)
-0/69092 Loss: 161.186
-3200/69092 Loss: 151.119
-6400/69092 Loss: 154.165
-9600/69092 Loss: 150.897
-12800/69092 Loss: 152.695
-16000/69092 Loss: 151.460
-19200/69092 Loss: 154.138
-22400/69092 Loss: 153.239
-25600/69092 Loss: 152.014
-28800/69092 Loss: 151.173
-32000/69092 Loss: 155.464
-35200/69092 Loss: 154.407
-38400/69092 Loss: 150.135
-41600/69092 Loss: 154.000
-44800/69092 Loss: 152.920
-48000/69092 Loss: 151.982
-51200/69092 Loss: 155.144
-54400/69092 Loss: 151.637
-57600/69092 Loss: 150.082
-60800/69092 Loss: 153.631
-64000/69092 Loss: 152.659
-67200/69092 Loss: 153.400
-Training time 0:01:58.079109
-Epoch: 4 Average loss: 152.67
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 308)
-0/69092 Loss: 173.856
-3200/69092 Loss: 152.023
-6400/69092 Loss: 153.829
-9600/69092 Loss: 150.343
-12800/69092 Loss: 151.734
-16000/69092 Loss: 152.576
-19200/69092 Loss: 153.110
-22400/69092 Loss: 155.344
-25600/69092 Loss: 151.083
-28800/69092 Loss: 151.468
-32000/69092 Loss: 150.122
-35200/69092 Loss: 150.961
-38400/69092 Loss: 152.861
-41600/69092 Loss: 150.400
-44800/69092 Loss: 154.243
-48000/69092 Loss: 156.053
-51200/69092 Loss: 151.848
-54400/69092 Loss: 154.020
-57600/69092 Loss: 152.957
-60800/69092 Loss: 154.637
-64000/69092 Loss: 151.895
-67200/69092 Loss: 152.106
-Training time 0:01:58.719240
-Epoch: 5 Average loss: 152.53
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 309)
-0/69092 Loss: 161.423
-3200/69092 Loss: 151.636
-6400/69092 Loss: 150.785
diff --git a/OAR.2068273.stderr b/OAR.2068273.stderr
deleted file mode 100644
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@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:29:57] Job 2068273 KILLED ##
diff --git a/OAR.2068273.stdout b/OAR.2068273.stdout
deleted file mode 100644
index bfda5c064b..0000000000
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+++ /dev/null
@@ -1,60 +0,0 @@
-Namespace(batch_size=256, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_256', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=True, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce GTX 1080 Ti
-GeForce GTX 1080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last (iter 143)'
-0/69092 Loss: 116.257
-12800/69092 Loss: 116.865
-25600/69092 Loss: 115.704
-38400/69092 Loss: 116.840
-51200/69092 Loss: 116.758
-64000/69092 Loss: 116.974
-Training time 0:05:34.767176
-Epoch: 1 Average loss: 116.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 144)
-0/69092 Loss: 115.425
-12800/69092 Loss: 116.366
-25600/69092 Loss: 115.519
-38400/69092 Loss: 116.832
-51200/69092 Loss: 116.514
diff --git a/OAR.2068274.stderr b/OAR.2068274.stderr
deleted file mode 100644
index 50eb79e2c9..0000000000
--- a/OAR.2068274.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:29:57] Job 2068274 KILLED ##
diff --git a/OAR.2068274.stdout b/OAR.2068274.stdout
deleted file mode 100644
index 6b9b463ae6..0000000000
--- a/OAR.2068274.stdout
+++ /dev/null
@@ -1,102 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=True, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last (iter 139)'
-0/69092 Loss: 110.847
-3200/69092 Loss: 115.390
-6400/69092 Loss: 112.621
-9600/69092 Loss: 112.659
-12800/69092 Loss: 114.223
-16000/69092 Loss: 112.621
-19200/69092 Loss: 115.178
-22400/69092 Loss: 113.874
-25600/69092 Loss: 113.745
-28800/69092 Loss: 114.605
-32000/69092 Loss: 113.612
-35200/69092 Loss: 114.793
-38400/69092 Loss: 116.839
-41600/69092 Loss: 114.658
-44800/69092 Loss: 114.111
-48000/69092 Loss: 112.756
-51200/69092 Loss: 114.016
-54400/69092 Loss: 114.316
-57600/69092 Loss: 112.581
-60800/69092 Loss: 112.926
-64000/69092 Loss: 112.703
-67200/69092 Loss: 112.203
-Training time 0:04:30.608806
-Epoch: 1 Average loss: 113.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 140)
-0/69092 Loss: 102.792
-3200/69092 Loss: 112.805
-6400/69092 Loss: 114.190
-9600/69092 Loss: 114.078
-12800/69092 Loss: 113.312
-16000/69092 Loss: 112.534
-19200/69092 Loss: 113.381
-22400/69092 Loss: 114.327
-25600/69092 Loss: 114.343
-28800/69092 Loss: 114.635
-32000/69092 Loss: 114.228
-35200/69092 Loss: 113.063
-38400/69092 Loss: 113.853
-41600/69092 Loss: 114.526
-44800/69092 Loss: 113.829
-48000/69092 Loss: 114.176
-51200/69092 Loss: 113.607
-54400/69092 Loss: 113.869
-57600/69092 Loss: 113.135
-60800/69092 Loss: 113.620
-64000/69092 Loss: 114.794
-67200/69092 Loss: 113.848
-Training time 0:04:18.213843
-Epoch: 2 Average loss: 113.78
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 141)
-0/69092 Loss: 123.686
-3200/69092 Loss: 115.639
-6400/69092 Loss: 113.484
-9600/69092 Loss: 112.216
-12800/69092 Loss: 112.320
-16000/69092 Loss: 115.109
diff --git a/OAR.2068275.stderr b/OAR.2068275.stderr
deleted file mode 100644
index b7fe79eccf..0000000000
--- a/OAR.2068275.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:29:57] Job 2068275 KILLED ##
diff --git a/OAR.2068275.stdout b/OAR.2068275.stdout
deleted file mode 100644
index 437dd91e0f..0000000000
--- a/OAR.2068275.stdout
+++ /dev/null
@@ -1,92 +0,0 @@
-Namespace(batch_size=64, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_64_ls_15', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=15, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/beta_VAE_bs_64_ls_15
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=30, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=15, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 769185
-don't use continuous capacity
-=> no checkpoint found at 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last'
-0/69092 Loss: 2891.769
-3200/69092 Loss: 2825.642
-6400/69092 Loss: 1205.228
-9600/69092 Loss: 556.734
-12800/69092 Loss: 484.027
-16000/69092 Loss: 465.437
-19200/69092 Loss: 448.356
-22400/69092 Loss: 437.048
-25600/69092 Loss: 401.074
-28800/69092 Loss: 289.548
-32000/69092 Loss: 238.668
-35200/69092 Loss: 234.046
-38400/69092 Loss: 226.796
-41600/69092 Loss: 222.254
-44800/69092 Loss: 225.392
-48000/69092 Loss: 221.208
-51200/69092 Loss: 220.618
-54400/69092 Loss: 213.913
-57600/69092 Loss: 210.644
-60800/69092 Loss: 213.087
-64000/69092 Loss: 216.019
-67200/69092 Loss: 208.903
-Training time 0:04:53.937253
-Epoch: 1 Average loss: 460.47
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 1)
-0/69092 Loss: 188.720
-3200/69092 Loss: 204.200
-6400/69092 Loss: 204.811
-9600/69092 Loss: 200.863
-12800/69092 Loss: 202.928
-16000/69092 Loss: 205.920
-19200/69092 Loss: 195.467
-22400/69092 Loss: 199.383
-25600/69092 Loss: 200.195
-28800/69092 Loss: 196.327
-32000/69092 Loss: 196.155
-35200/69092 Loss: 193.812
-38400/69092 Loss: 193.730
-41600/69092 Loss: 194.544
-44800/69092 Loss: 196.956
-48000/69092 Loss: 190.843
-51200/69092 Loss: 192.657
-54400/69092 Loss: 189.354
-57600/69092 Loss: 192.162
-60800/69092 Loss: 189.223
diff --git a/OAR.2068276.stderr b/OAR.2068276.stderr
deleted file mode 100644
index 7819e1f177..0000000000
--- a/OAR.2068276.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:39:19] Job 2068276 KILLED ##
diff --git a/OAR.2068276.stdout b/OAR.2068276.stdout
deleted file mode 100644
index c4b0467592..0000000000
--- a/OAR.2068276.stdout
+++ /dev/null
@@ -1,102 +0,0 @@
-Namespace(batch_size=64, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_64_ls_20', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=20, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/beta_VAE_bs_64_ls_20
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=40, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=20, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 773035
-don't use continuous capacity
-=> no checkpoint found at 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last'
-0/69092 Loss: 3095.371
-3200/69092 Loss: 3013.162
-6400/69092 Loss: 1142.397
-9600/69092 Loss: 583.239
-12800/69092 Loss: 500.184
-16000/69092 Loss: 479.822
-19200/69092 Loss: 462.136
-22400/69092 Loss: 446.272
-25600/69092 Loss: 445.532
-28800/69092 Loss: 451.249
-32000/69092 Loss: 444.728
-35200/69092 Loss: 436.249
-38400/69092 Loss: 434.357
-41600/69092 Loss: 450.662
-44800/69092 Loss: 436.829
-48000/69092 Loss: 444.385
-51200/69092 Loss: 442.255
-54400/69092 Loss: 431.708
-57600/69092 Loss: 444.837
-60800/69092 Loss: 445.616
-64000/69092 Loss: 438.358
-67200/69092 Loss: 448.892
-Training time 0:04:22.264375
-Epoch: 1 Average loss: 608.54
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 1)
-0/69092 Loss: 419.617
-3200/69092 Loss: 441.728
-6400/69092 Loss: 436.680
-9600/69092 Loss: 440.386
-12800/69092 Loss: 437.215
-16000/69092 Loss: 439.624
-19200/69092 Loss: 436.731
-22400/69092 Loss: 436.506
-25600/69092 Loss: 439.104
-28800/69092 Loss: 433.798
-32000/69092 Loss: 443.554
-35200/69092 Loss: 442.369
-38400/69092 Loss: 441.461
-41600/69092 Loss: 428.932
-44800/69092 Loss: 458.124
-48000/69092 Loss: 440.610
-51200/69092 Loss: 433.183
-54400/69092 Loss: 445.103
-57600/69092 Loss: 448.074
-60800/69092 Loss: 437.783
-64000/69092 Loss: 442.622
-67200/69092 Loss: 435.505
-Training time 0:04:38.790417
-Epoch: 2 Average loss: 439.99
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 2)
-0/69092 Loss: 419.540
-3200/69092 Loss: 431.518
-6400/69092 Loss: 444.740
-9600/69092 Loss: 437.046
-12800/69092 Loss: 446.255
diff --git a/OAR.2068277.stderr b/OAR.2068277.stderr
deleted file mode 100644
index be3f6a3232..0000000000
--- a/OAR.2068277.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:40:03] Job 2068277 KILLED ##
diff --git a/OAR.2068277.stdout b/OAR.2068277.stdout
deleted file mode 100644
index ce73d369bd..0000000000
--- a/OAR.2068277.stdout
+++ /dev/null
@@ -1,100 +0,0 @@
-Namespace(batch_size=64, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_64_ls_5', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=5, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/beta_VAE_bs_64_ls_5
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=10, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=5, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 761485
-don't use continuous capacity
-=> no checkpoint found at 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last'
-0/69092 Loss: 2840.949
-3200/69092 Loss: 2696.334
-6400/69092 Loss: 878.800
-9600/69092 Loss: 529.528
-12800/69092 Loss: 473.136
-16000/69092 Loss: 459.979
-19200/69092 Loss: 427.518
-22400/69092 Loss: 312.154
-25600/69092 Loss: 251.443
-28800/69092 Loss: 243.150
-32000/69092 Loss: 238.743
-35200/69092 Loss: 232.739
-38400/69092 Loss: 233.067
-41600/69092 Loss: 230.312
-44800/69092 Loss: 223.895
-48000/69092 Loss: 230.252
-51200/69092 Loss: 228.705
-54400/69092 Loss: 232.979
-57600/69092 Loss: 229.967
-60800/69092 Loss: 224.165
-64000/69092 Loss: 224.971
-67200/69092 Loss: 228.978
-Training time 0:04:33.155919
-Epoch: 1 Average loss: 426.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 1)
-0/69092 Loss: 220.633
-3200/69092 Loss: 223.511
-6400/69092 Loss: 224.541
-9600/69092 Loss: 225.067
-12800/69092 Loss: 222.152
-16000/69092 Loss: 222.201
-19200/69092 Loss: 225.091
-22400/69092 Loss: 220.790
-25600/69092 Loss: 219.536
-28800/69092 Loss: 214.187
-32000/69092 Loss: 221.030
-35200/69092 Loss: 217.724
-38400/69092 Loss: 214.937
-41600/69092 Loss: 221.160
-44800/69092 Loss: 214.006
-48000/69092 Loss: 216.696
-51200/69092 Loss: 208.186
-54400/69092 Loss: 198.221
-57600/69092 Loss: 202.476
-60800/69092 Loss: 191.258
-64000/69092 Loss: 196.500
-67200/69092 Loss: 196.036
-Training time 0:04:43.151928
-Epoch: 2 Average loss: 213.44
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 2)
-0/69092 Loss: 181.796
-3200/69092 Loss: 190.527
-6400/69092 Loss: 192.437
diff --git a/OAR.2068278.stderr b/OAR.2068278.stderr
deleted file mode 100644
index c77cae3370..0000000000
--- a/OAR.2068278.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:40:04] Job 2068278 KILLED ##
diff --git a/OAR.2068278.stdout b/OAR.2068278.stdout
deleted file mode 100644
index b700e16e37..0000000000
--- a/OAR.2068278.stdout
+++ /dev/null
@@ -1,90 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_5', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=5, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_5
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=10, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=5, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 761485
-don't use continuous capacity
-=> no checkpoint found at 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last'
-0/69092 Loss: 2903.199
-3200/69092 Loss: 2704.227
-6400/69092 Loss: 982.409
-9600/69092 Loss: 523.329
-12800/69092 Loss: 363.221
-16000/69092 Loss: 276.723
-19200/69092 Loss: 250.323
-22400/69092 Loss: 229.455
-25600/69092 Loss: 220.906
-28800/69092 Loss: 220.425
-32000/69092 Loss: 216.671
-35200/69092 Loss: 213.795
-38400/69092 Loss: 211.775
-41600/69092 Loss: 205.819
-44800/69092 Loss: 206.077
-48000/69092 Loss: 208.456
-51200/69092 Loss: 210.820
-54400/69092 Loss: 204.282
-57600/69092 Loss: 204.736
-60800/69092 Loss: 204.576
-64000/69092 Loss: 200.975
-67200/69092 Loss: 198.954
-Training time 0:05:45.368750
-Epoch: 1 Average loss: 390.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 1)
-0/69092 Loss: 193.590
-3200/69092 Loss: 194.946
-6400/69092 Loss: 199.709
-9600/69092 Loss: 200.276
-12800/69092 Loss: 193.180
-16000/69092 Loss: 192.735
-19200/69092 Loss: 190.256
-22400/69092 Loss: 190.013
-25600/69092 Loss: 188.325
-28800/69092 Loss: 189.229
-32000/69092 Loss: 189.882
-35200/69092 Loss: 190.248
-38400/69092 Loss: 188.566
-41600/69092 Loss: 185.072
-44800/69092 Loss: 189.564
-48000/69092 Loss: 181.238
-51200/69092 Loss: 181.543
-54400/69092 Loss: 182.526
diff --git a/OAR.2068279.stderr b/OAR.2068279.stderr
deleted file mode 100644
index f9f388689b..0000000000
--- a/OAR.2068279.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:40:20] Job 2068279 KILLED ##
diff --git a/OAR.2068279.stdout b/OAR.2068279.stdout
deleted file mode 100644
index 5bf0bda7e7..0000000000
--- a/OAR.2068279.stdout
+++ /dev/null
@@ -1,111 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_15', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=15, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_15
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=30, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=15, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 769185
-don't use continuous capacity
-=> no checkpoint found at 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last'
-0/69092 Loss: 3015.823
-3200/69092 Loss: 2867.494
-6400/69092 Loss: 899.528
-9600/69092 Loss: 536.005
-12800/69092 Loss: 478.343
-16000/69092 Loss: 455.459
-19200/69092 Loss: 457.437
-22400/69092 Loss: 370.021
-25600/69092 Loss: 263.633
-28800/69092 Loss: 232.440
-32000/69092 Loss: 210.459
-35200/69092 Loss: 217.661
-38400/69092 Loss: 216.086
-41600/69092 Loss: 215.461
-44800/69092 Loss: 208.221
-48000/69092 Loss: 205.981
-51200/69092 Loss: 208.176
-54400/69092 Loss: 204.615
-57600/69092 Loss: 205.887
-60800/69092 Loss: 203.826
-64000/69092 Loss: 202.141
-67200/69092 Loss: 198.343
-Training time 0:03:51.208936
-Epoch: 1 Average loss: 427.71
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 1)
-0/69092 Loss: 187.281
-3200/69092 Loss: 200.427
-6400/69092 Loss: 196.083
-9600/69092 Loss: 202.029
-12800/69092 Loss: 196.254
-16000/69092 Loss: 196.466
-19200/69092 Loss: 195.587
-22400/69092 Loss: 192.062
-25600/69092 Loss: 197.137
-28800/69092 Loss: 196.870
-32000/69092 Loss: 193.763
-35200/69092 Loss: 196.194
-38400/69092 Loss: 193.444
-41600/69092 Loss: 186.353
-44800/69092 Loss: 184.125
-48000/69092 Loss: 179.607
-51200/69092 Loss: 181.214
-54400/69092 Loss: 179.105
-57600/69092 Loss: 173.470
-60800/69092 Loss: 163.793
-64000/69092 Loss: 163.068
-67200/69092 Loss: 164.580
-Training time 0:03:46.574199
-Epoch: 2 Average loss: 186.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 2)
-0/69092 Loss: 164.363
-3200/69092 Loss: 157.112
-6400/69092 Loss: 152.674
-9600/69092 Loss: 154.297
-12800/69092 Loss: 155.036
-16000/69092 Loss: 151.871
-19200/69092 Loss: 151.537
-22400/69092 Loss: 152.374
-25600/69092 Loss: 150.578
-28800/69092 Loss: 152.244
-32000/69092 Loss: 150.801
-35200/69092 Loss: 147.880
-38400/69092 Loss: 148.003
-41600/69092 Loss: 147.567
diff --git a/OAR.2068280.stderr b/OAR.2068280.stderr
deleted file mode 100644
index 048a3f1856..0000000000
--- a/OAR.2068280.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:40:20] Job 2068280 KILLED ##
diff --git a/OAR.2068280.stdout b/OAR.2068280.stdout
deleted file mode 100644
index b2affcdd22..0000000000
--- a/OAR.2068280.stdout
+++ /dev/null
@@ -1,174 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_20', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=20, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_20
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-Tesla K80
-Tesla K80
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=40, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=20, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 773035
-don't use continuous capacity
-=> no checkpoint found at 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last'
-0/69092 Loss: 2881.933
-3200/69092 Loss: 2719.794
-6400/69092 Loss: 873.853
-9600/69092 Loss: 554.953
-12800/69092 Loss: 492.325
-16000/69092 Loss: 482.132
-19200/69092 Loss: 452.762
-22400/69092 Loss: 330.168
-25600/69092 Loss: 255.698
-28800/69092 Loss: 239.942
-32000/69092 Loss: 228.030
-35200/69092 Loss: 218.689
-38400/69092 Loss: 215.508
-41600/69092 Loss: 216.039
-44800/69092 Loss: 210.728
-48000/69092 Loss: 214.618
-51200/69092 Loss: 213.710
-54400/69092 Loss: 209.650
-57600/69092 Loss: 205.299
-60800/69092 Loss: 203.167
-64000/69092 Loss: 204.888
-67200/69092 Loss: 199.354
-Training time 0:01:59.952372
-Epoch: 1 Average loss: 422.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 1)
-0/69092 Loss: 213.822
-3200/69092 Loss: 195.598
-6400/69092 Loss: 188.690
-9600/69092 Loss: 189.246
-12800/69092 Loss: 185.152
-16000/69092 Loss: 182.199
-19200/69092 Loss: 178.716
-22400/69092 Loss: 175.190
-25600/69092 Loss: 173.751
-28800/69092 Loss: 173.114
-32000/69092 Loss: 169.251
-35200/69092 Loss: 165.858
-38400/69092 Loss: 162.986
-41600/69092 Loss: 160.892
-44800/69092 Loss: 157.779
-48000/69092 Loss: 159.470
-51200/69092 Loss: 155.455
-54400/69092 Loss: 153.642
-57600/69092 Loss: 152.026
-60800/69092 Loss: 154.318
-64000/69092 Loss: 149.577
-67200/69092 Loss: 149.924
-Training time 0:01:58.317271
-Epoch: 2 Average loss: 167.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 2)
-0/69092 Loss: 165.835
-3200/69092 Loss: 147.308
-6400/69092 Loss: 149.297
-9600/69092 Loss: 142.005
-12800/69092 Loss: 146.004
-16000/69092 Loss: 143.574
-19200/69092 Loss: 144.306
-22400/69092 Loss: 142.412
-25600/69092 Loss: 141.625
-28800/69092 Loss: 141.184
-32000/69092 Loss: 140.178
-35200/69092 Loss: 142.290
-38400/69092 Loss: 140.434
-41600/69092 Loss: 138.432
-44800/69092 Loss: 141.047
-48000/69092 Loss: 138.527
-51200/69092 Loss: 140.962
-54400/69092 Loss: 137.973
-57600/69092 Loss: 137.226
-60800/69092 Loss: 136.121
-64000/69092 Loss: 138.238
-67200/69092 Loss: 138.245
-Training time 0:01:59.670387
-Epoch: 3 Average loss: 141.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 3)
-0/69092 Loss: 142.078
-3200/69092 Loss: 136.431
-6400/69092 Loss: 135.250
-9600/69092 Loss: 136.257
-12800/69092 Loss: 135.379
-16000/69092 Loss: 135.078
-19200/69092 Loss: 134.206
-22400/69092 Loss: 135.185
-25600/69092 Loss: 132.867
-28800/69092 Loss: 137.278
-32000/69092 Loss: 134.216
-35200/69092 Loss: 134.020
-38400/69092 Loss: 130.385
-41600/69092 Loss: 135.043
-44800/69092 Loss: 133.981
-48000/69092 Loss: 132.545
-51200/69092 Loss: 135.545
-54400/69092 Loss: 134.631
-57600/69092 Loss: 131.294
-60800/69092 Loss: 132.418
-64000/69092 Loss: 131.634
-67200/69092 Loss: 133.258
-Training time 0:01:58.240577
-Epoch: 4 Average loss: 134.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 4)
-0/69092 Loss: 142.708
-3200/69092 Loss: 132.561
-6400/69092 Loss: 130.874
-9600/69092 Loss: 131.468
-12800/69092 Loss: 131.411
-16000/69092 Loss: 131.824
-19200/69092 Loss: 131.005
-22400/69092 Loss: 132.192
-25600/69092 Loss: 132.671
-28800/69092 Loss: 131.997
-32000/69092 Loss: 128.867
-35200/69092 Loss: 130.574
-38400/69092 Loss: 132.202
-41600/69092 Loss: 129.819
-44800/69092 Loss: 131.265
-48000/69092 Loss: 129.098
-51200/69092 Loss: 130.616
-54400/69092 Loss: 130.498
-57600/69092 Loss: 126.580
-60800/69092 Loss: 130.212
-64000/69092 Loss: 132.173
-67200/69092 Loss: 129.980
-Training time 0:01:58.078942
-Epoch: 5 Average loss: 130.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 5)
-0/69092 Loss: 124.281
-3200/69092 Loss: 128.822
diff --git a/OAR.2068281.stderr b/OAR.2068281.stderr
deleted file mode 100644
index ed1a13f56d..0000000000
--- a/OAR.2068281.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:40:20] Job 2068281 KILLED ##
diff --git a/OAR.2068281.stdout b/OAR.2068281.stdout
deleted file mode 100644
index 88b79673c8..0000000000
--- a/OAR.2068281.stdout
+++ /dev/null
@@ -1,90 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_10_lr_5e_4', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0005, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_10_lr_5e_4
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce GTX 1080 Ti
-GeForce GTX 1080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> no checkpoint found at 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last'
-0/69092 Loss: 2961.939
-3200/69092 Loss: 1584.693
-6400/69092 Loss: 429.344
-9600/69092 Loss: 254.546
-12800/69092 Loss: 231.380
-16000/69092 Loss: 223.665
-19200/69092 Loss: 223.704
-22400/69092 Loss: 222.083
-25600/69092 Loss: 204.693
-28800/69092 Loss: 191.011
-32000/69092 Loss: 182.565
-35200/69092 Loss: 181.646
-38400/69092 Loss: 177.863
-41600/69092 Loss: 177.561
-44800/69092 Loss: 177.871
-48000/69092 Loss: 177.182
-51200/69092 Loss: 175.946
-54400/69092 Loss: 173.444
-57600/69092 Loss: 169.927
-60800/69092 Loss: 172.724
-64000/69092 Loss: 167.277
-67200/69092 Loss: 167.102
-Training time 0:05:38.196312
-Epoch: 1 Average loss: 269.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 1)
-0/69092 Loss: 163.101
-3200/69092 Loss: 165.132
-6400/69092 Loss: 164.033
-9600/69092 Loss: 164.653
-12800/69092 Loss: 165.870
-16000/69092 Loss: 162.765
-19200/69092 Loss: 159.483
-22400/69092 Loss: 160.846
-25600/69092 Loss: 150.316
-28800/69092 Loss: 153.128
-32000/69092 Loss: 151.751
-35200/69092 Loss: 149.352
-38400/69092 Loss: 153.455
-41600/69092 Loss: 151.018
-44800/69092 Loss: 146.968
-48000/69092 Loss: 149.090
-51200/69092 Loss: 146.556
-54400/69092 Loss: 146.958
diff --git a/OAR.2068282.stderr b/OAR.2068282.stderr
deleted file mode 100644
index 36785ebedb..0000000000
--- a/OAR.2068282.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-24 16:43:44] Job 2068282 KILLED ##
diff --git a/OAR.2068282.stdout b/OAR.2068282.stdout
deleted file mode 100644
index 7edde933fe..0000000000
--- a/OAR.2068282.stdout
+++ /dev/null
@@ -1,105 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_10_lr_1e_3', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_10_lr_1e_3
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce GTX 1080 Ti
-GeForce GTX 1080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> no checkpoint found at 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last'
-0/69092 Loss: 2701.321
-3200/69092 Loss: 815.006
-6400/69092 Loss: 448.151
-9600/69092 Loss: 444.065
-12800/69092 Loss: 443.395
-16000/69092 Loss: 429.927
-19200/69092 Loss: 437.021
-22400/69092 Loss: 446.268
-25600/69092 Loss: 442.520
-28800/69092 Loss: 452.733
-32000/69092 Loss: 441.294
-35200/69092 Loss: 440.683
-38400/69092 Loss: 451.406
-41600/69092 Loss: 443.954
-44800/69092 Loss: 444.240
-48000/69092 Loss: 425.311
-51200/69092 Loss: 436.951
-54400/69092 Loss: 441.969
-57600/69092 Loss: 439.883
-60800/69092 Loss: 432.937
-64000/69092 Loss: 430.354
-67200/69092 Loss: 438.986
-Training time 0:04:22.675834
-Epoch: 1 Average loss: 460.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 1)
-0/69092 Loss: 477.468
-3200/69092 Loss: 444.829
-6400/69092 Loss: 439.752
-9600/69092 Loss: 448.288
-12800/69092 Loss: 433.830
-16000/69092 Loss: 441.858
-19200/69092 Loss: 441.838
-22400/69092 Loss: 440.030
-25600/69092 Loss: 441.060
-28800/69092 Loss: 443.189
-32000/69092 Loss: 444.328
-35200/69092 Loss: 444.173
-38400/69092 Loss: 425.570
-41600/69092 Loss: 442.802
-44800/69092 Loss: 443.597
-48000/69092 Loss: 435.120
-51200/69092 Loss: 447.508
-54400/69092 Loss: 446.497
-57600/69092 Loss: 438.670
-60800/69092 Loss: 433.847
-64000/69092 Loss: 438.785
-67200/69092 Loss: 439.632
-Training time 0:04:12.735653
-Epoch: 2 Average loss: 440.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 2)
-0/69092 Loss: 393.189
-3200/69092 Loss: 435.335
-6400/69092 Loss: 442.619
-9600/69092 Loss: 437.330
-12800/69092 Loss: 445.204
-16000/69092 Loss: 446.610
-19200/69092 Loss: 443.931
-22400/69092 Loss: 444.131
diff --git a/OAR.2068284.stderr b/OAR.2068284.stderr
deleted file mode 100644
index 8761745c12..0000000000
--- a/OAR.2068284.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 02:59:26] Job 2068284 KILLED ##
diff --git a/OAR.2068284.stdout b/OAR.2068284.stdout
deleted file mode 100644
index 4d17472346..0000000000
--- a/OAR.2068284.stdout
+++ /dev/null
@@ -1,1347 +0,0 @@
-Namespace(batch_size=256, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_256', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=True, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce GTX 1080 Ti
-GeForce GTX 1080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last (iter 173)'
-0/69092 Loss: 155.952
-12800/69092 Loss: 159.121
-25600/69092 Loss: 160.204
-38400/69092 Loss: 157.853
-51200/69092 Loss: 158.496
-64000/69092 Loss: 155.627
-Training time 0:04:07.256582
-Epoch: 1 Average loss: 158.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 174)
-0/69092 Loss: 156.559
-12800/69092 Loss: 157.571
-25600/69092 Loss: 157.691
-38400/69092 Loss: 158.235
-51200/69092 Loss: 158.045
-64000/69092 Loss: 157.110
-Training time 0:04:09.060156
-Epoch: 2 Average loss: 157.78
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 175)
-0/69092 Loss: 169.037
-12800/69092 Loss: 159.161
-25600/69092 Loss: 158.117
-38400/69092 Loss: 157.120
-51200/69092 Loss: 158.061
-64000/69092 Loss: 158.438
-Training time 0:04:11.693603
-Epoch: 3 Average loss: 158.06
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 176)
-0/69092 Loss: 173.992
-12800/69092 Loss: 157.694
-25600/69092 Loss: 158.061
-38400/69092 Loss: 158.073
-51200/69092 Loss: 157.170
-64000/69092 Loss: 158.600
-Training time 0:04:08.950306
-Epoch: 4 Average loss: 158.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 177)
-0/69092 Loss: 152.509
-12800/69092 Loss: 157.509
-25600/69092 Loss: 157.259
-38400/69092 Loss: 157.133
-51200/69092 Loss: 158.958
-64000/69092 Loss: 157.564
-Training time 0:04:04.422023
-Epoch: 5 Average loss: 157.89
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 178)
-0/69092 Loss: 159.325
-12800/69092 Loss: 157.663
-25600/69092 Loss: 158.119
-38400/69092 Loss: 157.028
-51200/69092 Loss: 157.416
-64000/69092 Loss: 158.792
-Training time 0:04:05.803442
-Epoch: 6 Average loss: 157.93
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 179)
-0/69092 Loss: 170.144
-12800/69092 Loss: 158.356
-25600/69092 Loss: 158.823
-38400/69092 Loss: 158.388
-51200/69092 Loss: 157.626
-64000/69092 Loss: 157.173
-Training time 0:04:07.837678
-Epoch: 7 Average loss: 158.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 180)
-0/69092 Loss: 155.297
-12800/69092 Loss: 158.118
-25600/69092 Loss: 158.781
-38400/69092 Loss: 156.992
-51200/69092 Loss: 157.078
-64000/69092 Loss: 157.590
-Training time 0:04:10.990231
-Epoch: 8 Average loss: 157.78
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 181)
-0/69092 Loss: 151.523
-12800/69092 Loss: 158.502
-25600/69092 Loss: 156.810
-38400/69092 Loss: 158.807
-51200/69092 Loss: 157.819
-64000/69092 Loss: 157.962
-Training time 0:04:08.934011
-Epoch: 9 Average loss: 158.00
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 182)
-0/69092 Loss: 158.328
-12800/69092 Loss: 156.602
-25600/69092 Loss: 157.674
-38400/69092 Loss: 158.318
-51200/69092 Loss: 158.263
-64000/69092 Loss: 156.871
-Training time 0:04:07.837835
-Epoch: 10 Average loss: 157.67
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 183)
-0/69092 Loss: 168.085
-12800/69092 Loss: 157.082
-25600/69092 Loss: 157.931
-38400/69092 Loss: 157.634
-51200/69092 Loss: 158.448
-64000/69092 Loss: 156.862
-Training time 0:04:04.238534
-Epoch: 11 Average loss: 157.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 184)
-0/69092 Loss: 152.943
-12800/69092 Loss: 157.047
-25600/69092 Loss: 159.241
-38400/69092 Loss: 156.479
-51200/69092 Loss: 157.264
-64000/69092 Loss: 157.732
-Training time 0:04:06.931607
-Epoch: 12 Average loss: 157.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 185)
-0/69092 Loss: 149.970
-12800/69092 Loss: 158.554
-25600/69092 Loss: 157.538
-38400/69092 Loss: 156.891
-51200/69092 Loss: 158.801
-64000/69092 Loss: 157.180
-Training time 0:04:06.729115
-Epoch: 13 Average loss: 157.86
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 186)
-0/69092 Loss: 168.819
-12800/69092 Loss: 157.445
-25600/69092 Loss: 158.959
-38400/69092 Loss: 157.423
-51200/69092 Loss: 158.772
-64000/69092 Loss: 155.783
-Training time 0:04:07.010972
-Epoch: 14 Average loss: 157.76
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 187)
-0/69092 Loss: 160.036
-12800/69092 Loss: 159.004
-25600/69092 Loss: 157.329
-38400/69092 Loss: 157.758
-51200/69092 Loss: 156.844
-64000/69092 Loss: 157.920
-Training time 0:04:08.909317
-Epoch: 15 Average loss: 157.76
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 188)
-0/69092 Loss: 149.585
-12800/69092 Loss: 157.099
-25600/69092 Loss: 157.843
-38400/69092 Loss: 156.822
-51200/69092 Loss: 156.968
-64000/69092 Loss: 158.730
-Training time 0:04:07.691350
-Epoch: 16 Average loss: 157.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 189)
-0/69092 Loss: 167.834
-12800/69092 Loss: 158.222
-25600/69092 Loss: 158.600
-38400/69092 Loss: 157.595
-51200/69092 Loss: 157.795
-64000/69092 Loss: 157.077
-Training time 0:04:07.152289
-Epoch: 17 Average loss: 157.83
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 190)
-0/69092 Loss: 157.181
-12800/69092 Loss: 157.831
-25600/69092 Loss: 158.101
-38400/69092 Loss: 158.576
-51200/69092 Loss: 157.180
-64000/69092 Loss: 158.019
-Training time 0:04:08.809209
-Epoch: 18 Average loss: 157.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 191)
-0/69092 Loss: 153.267
-12800/69092 Loss: 158.127
-25600/69092 Loss: 157.503
-38400/69092 Loss: 157.463
-51200/69092 Loss: 158.788
-64000/69092 Loss: 157.668
-Training time 0:04:11.227325
-Epoch: 19 Average loss: 157.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 192)
-0/69092 Loss: 161.668
-12800/69092 Loss: 157.593
-25600/69092 Loss: 157.789
-38400/69092 Loss: 157.822
-51200/69092 Loss: 157.680
-64000/69092 Loss: 158.281
-Training time 0:04:09.122571
-Epoch: 20 Average loss: 157.93
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 193)
-0/69092 Loss: 150.352
-12800/69092 Loss: 157.402
-25600/69092 Loss: 157.315
-38400/69092 Loss: 158.616
-51200/69092 Loss: 156.236
-64000/69092 Loss: 158.431
-Training time 0:04:11.388727
-Epoch: 21 Average loss: 157.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 194)
-0/69092 Loss: 156.163
-12800/69092 Loss: 157.171
-25600/69092 Loss: 156.466
-38400/69092 Loss: 158.786
-51200/69092 Loss: 158.157
-64000/69092 Loss: 157.648
-Training time 0:04:05.055387
-Epoch: 22 Average loss: 157.76
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 195)
-0/69092 Loss: 147.419
-12800/69092 Loss: 157.830
-25600/69092 Loss: 157.611
-38400/69092 Loss: 157.757
-51200/69092 Loss: 158.056
-64000/69092 Loss: 157.455
-Training time 0:04:05.411815
-Epoch: 23 Average loss: 157.72
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 196)
-0/69092 Loss: 171.791
-12800/69092 Loss: 156.112
-25600/69092 Loss: 157.859
-38400/69092 Loss: 158.415
-51200/69092 Loss: 158.944
-64000/69092 Loss: 156.379
-Training time 0:04:08.043169
-Epoch: 24 Average loss: 157.75
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 197)
-0/69092 Loss: 160.278
-12800/69092 Loss: 157.984
-25600/69092 Loss: 158.727
-38400/69092 Loss: 158.111
-51200/69092 Loss: 157.447
-64000/69092 Loss: 156.952
-Training time 0:04:12.129530
-Epoch: 25 Average loss: 157.79
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 198)
-0/69092 Loss: 152.806
-12800/69092 Loss: 156.814
-25600/69092 Loss: 158.617
-38400/69092 Loss: 158.246
-51200/69092 Loss: 156.832
-64000/69092 Loss: 156.933
-Training time 0:04:08.390553
-Epoch: 26 Average loss: 157.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 199)
-0/69092 Loss: 156.767
-12800/69092 Loss: 157.931
-25600/69092 Loss: 157.088
-38400/69092 Loss: 157.270
-51200/69092 Loss: 158.061
-64000/69092 Loss: 158.765
-Training time 0:04:08.695474
-Epoch: 27 Average loss: 157.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 200)
-0/69092 Loss: 156.520
-12800/69092 Loss: 157.872
-25600/69092 Loss: 159.027
-38400/69092 Loss: 158.514
-51200/69092 Loss: 157.492
-64000/69092 Loss: 156.484
-Training time 0:04:05.689479
-Epoch: 28 Average loss: 157.95
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 201)
-0/69092 Loss: 150.646
-12800/69092 Loss: 158.405
-25600/69092 Loss: 158.932
-38400/69092 Loss: 156.635
-51200/69092 Loss: 157.135
-64000/69092 Loss: 157.422
-Training time 0:04:06.258930
-Epoch: 29 Average loss: 157.66
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 202)
-0/69092 Loss: 165.311
-12800/69092 Loss: 157.452
-25600/69092 Loss: 157.317
-38400/69092 Loss: 156.785
-51200/69092 Loss: 158.505
-64000/69092 Loss: 158.541
-Training time 0:04:09.311575
-Epoch: 30 Average loss: 157.68
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 203)
-0/69092 Loss: 152.277
-12800/69092 Loss: 156.063
-25600/69092 Loss: 157.964
-38400/69092 Loss: 158.164
-51200/69092 Loss: 157.314
-64000/69092 Loss: 158.910
-Training time 0:04:08.771677
-Epoch: 31 Average loss: 157.58
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 204)
-0/69092 Loss: 164.293
-12800/69092 Loss: 157.703
-25600/69092 Loss: 158.666
-38400/69092 Loss: 157.075
-51200/69092 Loss: 157.553
-64000/69092 Loss: 158.131
-Training time 0:04:11.246236
-Epoch: 32 Average loss: 157.63
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 205)
-0/69092 Loss: 154.875
-12800/69092 Loss: 158.356
-25600/69092 Loss: 158.025
-38400/69092 Loss: 156.657
-51200/69092 Loss: 158.189
-64000/69092 Loss: 157.547
-Training time 0:04:09.750177
-Epoch: 33 Average loss: 157.53
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 206)
-0/69092 Loss: 153.610
-12800/69092 Loss: 158.994
-25600/69092 Loss: 158.683
-38400/69092 Loss: 158.389
-51200/69092 Loss: 157.156
-64000/69092 Loss: 155.605
-Training time 0:04:04.536860
-Epoch: 34 Average loss: 157.76
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 207)
-0/69092 Loss: 160.609
-12800/69092 Loss: 158.284
-25600/69092 Loss: 157.730
-38400/69092 Loss: 157.647
-51200/69092 Loss: 157.609
-64000/69092 Loss: 156.316
-Training time 0:04:07.207110
-Epoch: 35 Average loss: 157.51
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 208)
-0/69092 Loss: 157.581
-12800/69092 Loss: 157.032
-25600/69092 Loss: 157.428
-38400/69092 Loss: 158.491
-51200/69092 Loss: 157.662
-64000/69092 Loss: 157.269
-Training time 0:04:07.801669
-Epoch: 36 Average loss: 157.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 209)
-0/69092 Loss: 159.224
-12800/69092 Loss: 158.065
-25600/69092 Loss: 157.590
-38400/69092 Loss: 156.078
-51200/69092 Loss: 158.977
-64000/69092 Loss: 158.306
-Training time 0:04:09.360865
-Epoch: 37 Average loss: 157.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 210)
-0/69092 Loss: 165.091
-12800/69092 Loss: 158.108
-25600/69092 Loss: 157.228
-38400/69092 Loss: 157.449
-51200/69092 Loss: 156.462
-64000/69092 Loss: 157.308
-Training time 0:04:08.158248
-Epoch: 38 Average loss: 157.41
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 211)
-0/69092 Loss: 157.792
-12800/69092 Loss: 157.611
-25600/69092 Loss: 158.170
-38400/69092 Loss: 158.744
-51200/69092 Loss: 157.334
-64000/69092 Loss: 156.975
-Training time 0:04:07.028698
-Epoch: 39 Average loss: 157.68
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 212)
-0/69092 Loss: 170.346
-12800/69092 Loss: 156.963
-25600/69092 Loss: 157.363
-38400/69092 Loss: 156.976
-51200/69092 Loss: 156.863
-64000/69092 Loss: 158.115
-Training time 0:04:06.447876
-Epoch: 40 Average loss: 157.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 213)
-0/69092 Loss: 153.107
-12800/69092 Loss: 157.775
-25600/69092 Loss: 156.232
-38400/69092 Loss: 158.089
-51200/69092 Loss: 156.741
-64000/69092 Loss: 158.053
-Training time 0:04:07.363092
-Epoch: 41 Average loss: 157.51
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 214)
-0/69092 Loss: 158.205
-12800/69092 Loss: 157.932
-25600/69092 Loss: 157.873
-38400/69092 Loss: 157.378
-51200/69092 Loss: 157.124
-64000/69092 Loss: 156.899
-Training time 0:04:08.284864
-Epoch: 42 Average loss: 157.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 215)
-0/69092 Loss: 159.169
-12800/69092 Loss: 156.975
-25600/69092 Loss: 156.550
-38400/69092 Loss: 157.878
-51200/69092 Loss: 157.209
-64000/69092 Loss: 157.833
-Training time 0:04:08.949711
-Epoch: 43 Average loss: 157.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 216)
-0/69092 Loss: 152.923
-12800/69092 Loss: 156.564
-25600/69092 Loss: 157.336
-38400/69092 Loss: 157.758
-51200/69092 Loss: 158.955
-64000/69092 Loss: 157.532
-Training time 0:04:09.563251
-Epoch: 44 Average loss: 157.46
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 217)
-0/69092 Loss: 159.523
-12800/69092 Loss: 157.357
-25600/69092 Loss: 157.871
-38400/69092 Loss: 158.002
-51200/69092 Loss: 156.907
-64000/69092 Loss: 156.788
-Training time 0:04:07.358115
-Epoch: 45 Average loss: 157.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 218)
-0/69092 Loss: 166.447
-12800/69092 Loss: 156.163
-25600/69092 Loss: 158.640
-38400/69092 Loss: 157.564
-51200/69092 Loss: 155.737
-64000/69092 Loss: 158.560
-Training time 0:04:04.926735
-Epoch: 46 Average loss: 157.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 219)
-0/69092 Loss: 157.227
-12800/69092 Loss: 157.724
-25600/69092 Loss: 157.674
-38400/69092 Loss: 158.769
-51200/69092 Loss: 156.429
-64000/69092 Loss: 157.198
-Training time 0:04:09.950528
-Epoch: 47 Average loss: 157.59
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 220)
-0/69092 Loss: 165.830
-12800/69092 Loss: 156.446
-25600/69092 Loss: 157.076
-38400/69092 Loss: 158.443
-51200/69092 Loss: 157.780
-64000/69092 Loss: 158.231
-Training time 0:04:10.794276
-Epoch: 48 Average loss: 157.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 221)
-0/69092 Loss: 161.042
-12800/69092 Loss: 156.000
-25600/69092 Loss: 157.124
-38400/69092 Loss: 157.936
-51200/69092 Loss: 158.877
-64000/69092 Loss: 157.673
-Training time 0:04:11.640587
-Epoch: 49 Average loss: 157.54
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 222)
-0/69092 Loss: 157.060
-12800/69092 Loss: 157.399
-25600/69092 Loss: 157.788
-38400/69092 Loss: 156.679
-51200/69092 Loss: 158.832
-64000/69092 Loss: 156.170
-Training time 0:04:10.365157
-Epoch: 50 Average loss: 157.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 223)
-0/69092 Loss: 161.609
-12800/69092 Loss: 158.738
-25600/69092 Loss: 158.430
-38400/69092 Loss: 156.129
-51200/69092 Loss: 156.666
-64000/69092 Loss: 157.170
-Training time 0:04:09.316831
-Epoch: 51 Average loss: 157.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 224)
-0/69092 Loss: 153.683
-12800/69092 Loss: 157.725
-25600/69092 Loss: 156.806
-38400/69092 Loss: 157.850
-51200/69092 Loss: 158.526
-64000/69092 Loss: 156.939
-Training time 0:04:05.028103
-Epoch: 52 Average loss: 157.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 225)
-0/69092 Loss: 158.885
-12800/69092 Loss: 157.245
-25600/69092 Loss: 158.704
-38400/69092 Loss: 157.207
-51200/69092 Loss: 156.306
-64000/69092 Loss: 157.821
-Training time 0:04:10.674155
-Epoch: 53 Average loss: 157.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 226)
-0/69092 Loss: 155.339
-12800/69092 Loss: 158.253
-25600/69092 Loss: 158.159
-38400/69092 Loss: 155.812
-51200/69092 Loss: 156.602
-64000/69092 Loss: 157.555
-Training time 0:04:12.632021
-Epoch: 54 Average loss: 157.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 227)
-0/69092 Loss: 155.890
-12800/69092 Loss: 156.798
-25600/69092 Loss: 158.212
-38400/69092 Loss: 157.738
-51200/69092 Loss: 157.282
-64000/69092 Loss: 157.701
-Training time 0:04:11.221483
-Epoch: 55 Average loss: 157.68
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 228)
-0/69092 Loss: 161.760
-12800/69092 Loss: 158.265
-25600/69092 Loss: 157.248
-38400/69092 Loss: 156.036
-51200/69092 Loss: 158.352
-64000/69092 Loss: 156.961
-Training time 0:04:12.344839
-Epoch: 56 Average loss: 157.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 229)
-0/69092 Loss: 156.050
-12800/69092 Loss: 158.169
-25600/69092 Loss: 157.276
-38400/69092 Loss: 158.034
-51200/69092 Loss: 157.169
-64000/69092 Loss: 157.876
-Training time 0:04:06.652882
-Epoch: 57 Average loss: 157.70
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 230)
-0/69092 Loss: 155.364
-12800/69092 Loss: 157.337
-25600/69092 Loss: 156.698
-38400/69092 Loss: 158.144
-51200/69092 Loss: 157.125
-64000/69092 Loss: 158.089
-Training time 0:04:05.451386
-Epoch: 58 Average loss: 157.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 231)
-0/69092 Loss: 155.917
-12800/69092 Loss: 157.703
-25600/69092 Loss: 155.820
-38400/69092 Loss: 158.629
-51200/69092 Loss: 157.808
-64000/69092 Loss: 157.381
-Training time 0:04:10.231175
-Epoch: 59 Average loss: 157.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 232)
-0/69092 Loss: 154.034
-12800/69092 Loss: 156.802
-25600/69092 Loss: 157.941
-38400/69092 Loss: 158.557
-51200/69092 Loss: 156.309
-64000/69092 Loss: 157.781
-Training time 0:04:09.659678
-Epoch: 60 Average loss: 157.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 233)
-0/69092 Loss: 152.551
-12800/69092 Loss: 156.890
-25600/69092 Loss: 158.074
-38400/69092 Loss: 157.366
-51200/69092 Loss: 158.784
-64000/69092 Loss: 156.646
-Training time 0:04:12.622080
-Epoch: 61 Average loss: 157.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 234)
-0/69092 Loss: 159.347
-12800/69092 Loss: 157.794
-25600/69092 Loss: 157.253
-38400/69092 Loss: 157.027
-51200/69092 Loss: 156.760
-64000/69092 Loss: 157.832
-Training time 0:04:09.804689
-Epoch: 62 Average loss: 157.52
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 235)
-0/69092 Loss: 161.108
-12800/69092 Loss: 156.700
-25600/69092 Loss: 158.598
-38400/69092 Loss: 156.907
-51200/69092 Loss: 156.723
-64000/69092 Loss: 156.703
-Training time 0:04:06.690097
-Epoch: 63 Average loss: 157.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 236)
-0/69092 Loss: 151.689
-12800/69092 Loss: 159.341
-25600/69092 Loss: 156.846
-38400/69092 Loss: 157.478
-51200/69092 Loss: 158.575
-64000/69092 Loss: 156.002
-Training time 0:04:07.036244
-Epoch: 64 Average loss: 157.57
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 237)
-0/69092 Loss: 160.479
-12800/69092 Loss: 156.621
-25600/69092 Loss: 157.561
-38400/69092 Loss: 156.412
-51200/69092 Loss: 159.183
-64000/69092 Loss: 158.383
-Training time 0:04:12.176953
-Epoch: 65 Average loss: 157.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 238)
-0/69092 Loss: 168.077
-12800/69092 Loss: 156.993
-25600/69092 Loss: 158.328
-38400/69092 Loss: 156.861
-51200/69092 Loss: 157.901
-64000/69092 Loss: 157.954
-Training time 0:04:10.374660
-Epoch: 66 Average loss: 157.58
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 239)
-0/69092 Loss: 147.819
-12800/69092 Loss: 158.114
-25600/69092 Loss: 156.945
-38400/69092 Loss: 157.846
-51200/69092 Loss: 156.692
-64000/69092 Loss: 157.591
-Training time 0:04:09.441636
-Epoch: 67 Average loss: 157.39
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 240)
-0/69092 Loss: 158.824
-12800/69092 Loss: 156.585
-25600/69092 Loss: 157.306
-38400/69092 Loss: 158.213
-51200/69092 Loss: 157.915
-64000/69092 Loss: 157.248
-Training time 0:04:08.608228
-Epoch: 68 Average loss: 157.43
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 241)
-0/69092 Loss: 159.264
-12800/69092 Loss: 157.138
-25600/69092 Loss: 158.863
-38400/69092 Loss: 158.558
-51200/69092 Loss: 156.178
-64000/69092 Loss: 157.639
-Training time 0:04:03.071162
-Epoch: 69 Average loss: 157.56
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 242)
-0/69092 Loss: 152.968
-12800/69092 Loss: 156.544
-25600/69092 Loss: 156.787
-38400/69092 Loss: 158.234
-51200/69092 Loss: 156.915
-64000/69092 Loss: 157.555
-Training time 0:04:07.455852
-Epoch: 70 Average loss: 157.16
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 243)
-0/69092 Loss: 160.421
-12800/69092 Loss: 158.576
-25600/69092 Loss: 157.594
-38400/69092 Loss: 157.761
-51200/69092 Loss: 156.322
-64000/69092 Loss: 156.756
-Training time 0:04:08.703059
-Epoch: 71 Average loss: 157.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 244)
-0/69092 Loss: 153.485
-12800/69092 Loss: 157.888
-25600/69092 Loss: 157.596
-38400/69092 Loss: 156.846
-51200/69092 Loss: 157.866
-64000/69092 Loss: 156.987
-Training time 0:04:12.067903
-Epoch: 72 Average loss: 157.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 245)
-0/69092 Loss: 163.371
-12800/69092 Loss: 157.914
-25600/69092 Loss: 156.977
-38400/69092 Loss: 156.872
-51200/69092 Loss: 157.466
-64000/69092 Loss: 158.811
-Training time 0:04:10.709059
-Epoch: 73 Average loss: 157.54
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 246)
-0/69092 Loss: 161.437
-12800/69092 Loss: 158.193
-25600/69092 Loss: 156.608
-38400/69092 Loss: 158.900
-51200/69092 Loss: 156.847
-64000/69092 Loss: 156.355
-Training time 0:04:09.862156
-Epoch: 74 Average loss: 157.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 247)
-0/69092 Loss: 161.102
-12800/69092 Loss: 157.671
-25600/69092 Loss: 157.514
-38400/69092 Loss: 156.699
-51200/69092 Loss: 158.679
-64000/69092 Loss: 157.702
-Training time 0:04:07.326575
-Epoch: 75 Average loss: 157.59
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 248)
-0/69092 Loss: 151.403
-12800/69092 Loss: 157.397
-25600/69092 Loss: 157.554
-38400/69092 Loss: 156.725
-51200/69092 Loss: 158.962
-64000/69092 Loss: 157.685
-Training time 0:04:11.968574
-Epoch: 76 Average loss: 157.56
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 249)
-0/69092 Loss: 157.915
-12800/69092 Loss: 155.784
-25600/69092 Loss: 158.362
-38400/69092 Loss: 156.531
-51200/69092 Loss: 157.851
-64000/69092 Loss: 157.451
-Training time 0:04:09.654373
-Epoch: 77 Average loss: 157.31
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 250)
-0/69092 Loss: 148.656
-12800/69092 Loss: 157.064
-25600/69092 Loss: 156.904
-38400/69092 Loss: 157.858
-51200/69092 Loss: 157.146
-64000/69092 Loss: 157.414
-Training time 0:04:08.727900
-Epoch: 78 Average loss: 157.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 251)
-0/69092 Loss: 155.678
-12800/69092 Loss: 156.509
-25600/69092 Loss: 157.133
-38400/69092 Loss: 157.766
-51200/69092 Loss: 157.756
-64000/69092 Loss: 157.893
-Training time 0:04:07.309731
-Epoch: 79 Average loss: 157.33
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 252)
-0/69092 Loss: 144.090
-12800/69092 Loss: 156.885
-25600/69092 Loss: 157.186
-38400/69092 Loss: 156.099
-51200/69092 Loss: 157.945
-64000/69092 Loss: 157.640
-Training time 0:04:08.898807
-Epoch: 80 Average loss: 157.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 253)
-0/69092 Loss: 158.216
-12800/69092 Loss: 158.188
-25600/69092 Loss: 156.013
-38400/69092 Loss: 156.550
-51200/69092 Loss: 157.594
-64000/69092 Loss: 157.669
-Training time 0:04:04.894205
-Epoch: 81 Average loss: 157.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 254)
-0/69092 Loss: 163.928
-12800/69092 Loss: 158.098
-25600/69092 Loss: 156.798
-38400/69092 Loss: 157.754
-51200/69092 Loss: 156.268
-64000/69092 Loss: 157.443
-Training time 0:04:08.553407
-Epoch: 82 Average loss: 157.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 255)
-0/69092 Loss: 157.476
-12800/69092 Loss: 156.176
-25600/69092 Loss: 158.057
-38400/69092 Loss: 157.450
-51200/69092 Loss: 158.515
-64000/69092 Loss: 157.737
-Training time 0:04:11.952887
-Epoch: 83 Average loss: 157.47
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 256)
-0/69092 Loss: 152.488
-12800/69092 Loss: 158.060
-25600/69092 Loss: 157.019
-38400/69092 Loss: 155.443
-51200/69092 Loss: 157.548
-64000/69092 Loss: 157.624
-Training time 0:04:10.425186
-Epoch: 84 Average loss: 157.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 257)
-0/69092 Loss: 162.522
-12800/69092 Loss: 159.263
-25600/69092 Loss: 157.610
-38400/69092 Loss: 156.635
-51200/69092 Loss: 156.299
-64000/69092 Loss: 157.541
-Training time 0:04:11.270785
-Epoch: 85 Average loss: 157.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 258)
-0/69092 Loss: 153.684
-12800/69092 Loss: 158.437
-25600/69092 Loss: 155.698
-38400/69092 Loss: 157.179
-51200/69092 Loss: 157.263
-64000/69092 Loss: 158.020
-Training time 0:04:10.949805
-Epoch: 86 Average loss: 157.31
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 259)
-0/69092 Loss: 156.394
-12800/69092 Loss: 157.345
-25600/69092 Loss: 157.588
-38400/69092 Loss: 157.866
-51200/69092 Loss: 155.943
-64000/69092 Loss: 157.875
-Training time 0:04:04.290943
-Epoch: 87 Average loss: 157.27
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 260)
-0/69092 Loss: 151.419
-12800/69092 Loss: 156.644
-25600/69092 Loss: 156.534
-38400/69092 Loss: 158.318
-51200/69092 Loss: 156.783
-64000/69092 Loss: 156.739
-Training time 0:04:15.388469
-Epoch: 88 Average loss: 157.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 261)
-0/69092 Loss: 161.832
-12800/69092 Loss: 157.948
-25600/69092 Loss: 156.336
-38400/69092 Loss: 158.019
-51200/69092 Loss: 156.740
-64000/69092 Loss: 157.256
-Training time 0:04:12.798415
-Epoch: 89 Average loss: 157.26
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 262)
-0/69092 Loss: 167.103
-12800/69092 Loss: 157.328
-25600/69092 Loss: 157.233
-38400/69092 Loss: 157.854
-51200/69092 Loss: 155.752
-64000/69092 Loss: 156.840
-Training time 0:04:12.797798
-Epoch: 90 Average loss: 157.11
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 263)
-0/69092 Loss: 155.901
-12800/69092 Loss: 157.552
-25600/69092 Loss: 157.195
-38400/69092 Loss: 157.300
-51200/69092 Loss: 156.765
-64000/69092 Loss: 157.187
-Training time 0:04:11.831708
-Epoch: 91 Average loss: 157.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 264)
-0/69092 Loss: 154.262
-12800/69092 Loss: 158.352
-25600/69092 Loss: 156.119
-38400/69092 Loss: 158.913
-51200/69092 Loss: 157.989
-64000/69092 Loss: 156.361
-Training time 0:04:08.926917
-Epoch: 92 Average loss: 157.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 265)
-0/69092 Loss: 155.008
-12800/69092 Loss: 157.280
-25600/69092 Loss: 158.019
-38400/69092 Loss: 155.993
-51200/69092 Loss: 157.609
-64000/69092 Loss: 156.842
-Training time 0:04:03.073599
-Epoch: 93 Average loss: 157.24
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 266)
-0/69092 Loss: 162.025
-12800/69092 Loss: 157.524
-25600/69092 Loss: 157.398
-38400/69092 Loss: 157.294
-51200/69092 Loss: 157.970
-64000/69092 Loss: 156.351
-Training time 0:04:07.584761
-Epoch: 94 Average loss: 157.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 267)
-0/69092 Loss: 168.699
-12800/69092 Loss: 156.917
-25600/69092 Loss: 156.806
-38400/69092 Loss: 157.386
-51200/69092 Loss: 156.886
-64000/69092 Loss: 157.273
-Training time 0:04:09.591231
-Epoch: 95 Average loss: 157.16
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 268)
-0/69092 Loss: 158.137
-12800/69092 Loss: 157.558
-25600/69092 Loss: 157.538
-38400/69092 Loss: 157.434
-51200/69092 Loss: 157.487
-64000/69092 Loss: 156.290
-Training time 0:04:12.204420
-Epoch: 96 Average loss: 157.35
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 269)
-0/69092 Loss: 162.844
-12800/69092 Loss: 156.509
-25600/69092 Loss: 157.572
-38400/69092 Loss: 158.294
-51200/69092 Loss: 156.501
-64000/69092 Loss: 157.894
-Training time 0:04:10.931413
-Epoch: 97 Average loss: 157.46
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 270)
-0/69092 Loss: 160.477
-12800/69092 Loss: 157.578
-25600/69092 Loss: 157.279
-38400/69092 Loss: 157.476
-51200/69092 Loss: 157.491
-64000/69092 Loss: 156.596
-Training time 0:04:08.272934
-Epoch: 98 Average loss: 157.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 271)
-0/69092 Loss: 161.273
-12800/69092 Loss: 157.254
-25600/69092 Loss: 157.126
-38400/69092 Loss: 157.503
-51200/69092 Loss: 158.235
-64000/69092 Loss: 156.365
-Training time 0:04:03.909884
-Epoch: 99 Average loss: 157.31
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 272)
-0/69092 Loss: 157.615
-12800/69092 Loss: 157.470
-25600/69092 Loss: 157.726
-38400/69092 Loss: 158.092
-51200/69092 Loss: 156.651
-64000/69092 Loss: 157.146
-Training time 0:04:11.181057
-Epoch: 100 Average loss: 157.31
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 273)
-0/69092 Loss: 155.768
-12800/69092 Loss: 156.706
-25600/69092 Loss: 157.099
-38400/69092 Loss: 156.770
-51200/69092 Loss: 156.383
-64000/69092 Loss: 157.121
-Training time 0:04:09.140018
-Epoch: 101 Average loss: 156.98
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 274)
-0/69092 Loss: 146.619
-12800/69092 Loss: 158.031
-25600/69092 Loss: 157.539
-38400/69092 Loss: 157.488
-51200/69092 Loss: 156.214
-64000/69092 Loss: 157.160
-Training time 0:04:10.464033
-Epoch: 102 Average loss: 157.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 275)
-0/69092 Loss: 149.681
-12800/69092 Loss: 157.090
-25600/69092 Loss: 157.236
-38400/69092 Loss: 157.710
-51200/69092 Loss: 157.181
-64000/69092 Loss: 157.986
-Training time 0:04:09.876653
-Epoch: 103 Average loss: 157.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 276)
-0/69092 Loss: 163.643
-12800/69092 Loss: 157.128
-25600/69092 Loss: 157.302
-38400/69092 Loss: 156.973
-51200/69092 Loss: 156.821
-64000/69092 Loss: 157.241
-Training time 0:04:07.838607
-Epoch: 104 Average loss: 157.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 277)
-0/69092 Loss: 158.093
-12800/69092 Loss: 157.244
-25600/69092 Loss: 157.186
-38400/69092 Loss: 157.452
-51200/69092 Loss: 155.985
-64000/69092 Loss: 158.488
-Training time 0:04:03.601052
-Epoch: 105 Average loss: 157.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 278)
-0/69092 Loss: 154.813
-12800/69092 Loss: 157.052
-25600/69092 Loss: 157.161
-38400/69092 Loss: 157.203
-51200/69092 Loss: 157.232
-64000/69092 Loss: 157.310
-Training time 0:04:07.292869
-Epoch: 106 Average loss: 157.09
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 279)
-0/69092 Loss: 158.664
-12800/69092 Loss: 156.515
-25600/69092 Loss: 157.229
-38400/69092 Loss: 157.361
-51200/69092 Loss: 157.873
-64000/69092 Loss: 157.616
-Training time 0:04:06.809608
-Epoch: 107 Average loss: 157.24
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 280)
-0/69092 Loss: 156.387
-12800/69092 Loss: 158.136
-25600/69092 Loss: 157.099
-38400/69092 Loss: 156.837
-51200/69092 Loss: 156.747
-64000/69092 Loss: 156.586
-Training time 0:04:09.066369
-Epoch: 108 Average loss: 157.16
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 281)
-0/69092 Loss: 156.363
-12800/69092 Loss: 156.955
-25600/69092 Loss: 157.579
-38400/69092 Loss: 156.693
-51200/69092 Loss: 157.130
-64000/69092 Loss: 157.739
-Training time 0:04:07.344154
-Epoch: 109 Average loss: 157.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 282)
-0/69092 Loss: 154.839
-12800/69092 Loss: 156.584
-25600/69092 Loss: 156.852
-38400/69092 Loss: 156.705
-51200/69092 Loss: 157.566
-64000/69092 Loss: 157.846
-Training time 0:04:02.596162
-Epoch: 110 Average loss: 157.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 283)
-0/69092 Loss: 163.107
-12800/69092 Loss: 156.967
-25600/69092 Loss: 156.324
-38400/69092 Loss: 158.065
-51200/69092 Loss: 156.880
-64000/69092 Loss: 157.599
-Training time 0:04:03.459253
-Epoch: 111 Average loss: 157.18
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 284)
-0/69092 Loss: 152.234
-12800/69092 Loss: 155.948
-25600/69092 Loss: 156.527
-38400/69092 Loss: 157.628
-51200/69092 Loss: 157.727
-64000/69092 Loss: 156.804
-Training time 0:04:06.196250
-Epoch: 112 Average loss: 156.93
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 285)
-0/69092 Loss: 166.500
-12800/69092 Loss: 157.189
-25600/69092 Loss: 156.956
-38400/69092 Loss: 155.700
-51200/69092 Loss: 157.823
-64000/69092 Loss: 157.373
-Training time 0:04:08.707100
-Epoch: 113 Average loss: 157.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 286)
-0/69092 Loss: 161.993
-12800/69092 Loss: 157.234
-25600/69092 Loss: 158.382
-38400/69092 Loss: 156.551
-51200/69092 Loss: 157.351
-64000/69092 Loss: 156.157
-Training time 0:04:07.990283
-Epoch: 114 Average loss: 157.14
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 287)
-0/69092 Loss: 161.841
-12800/69092 Loss: 157.712
-25600/69092 Loss: 155.495
-38400/69092 Loss: 157.577
-51200/69092 Loss: 157.636
-64000/69092 Loss: 156.955
-Training time 0:04:09.016317
-Epoch: 115 Average loss: 157.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 288)
-0/69092 Loss: 155.560
-12800/69092 Loss: 157.573
-25600/69092 Loss: 158.010
-38400/69092 Loss: 156.599
-51200/69092 Loss: 156.843
-64000/69092 Loss: 156.326
-Training time 0:03:59.434990
-Epoch: 116 Average loss: 157.03
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 289)
-0/69092 Loss: 153.375
-12800/69092 Loss: 156.316
-25600/69092 Loss: 158.547
-38400/69092 Loss: 157.258
-51200/69092 Loss: 157.724
-64000/69092 Loss: 157.224
-Training time 0:04:06.722800
-Epoch: 117 Average loss: 157.39
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 290)
-0/69092 Loss: 155.603
-12800/69092 Loss: 157.760
-25600/69092 Loss: 156.922
-38400/69092 Loss: 157.641
-51200/69092 Loss: 157.616
-64000/69092 Loss: 156.164
-Training time 0:04:07.593237
-Epoch: 118 Average loss: 157.25
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 291)
-0/69092 Loss: 154.914
-12800/69092 Loss: 156.693
-25600/69092 Loss: 157.227
-38400/69092 Loss: 156.418
-51200/69092 Loss: 157.796
-64000/69092 Loss: 156.511
-Training time 0:04:06.697634
-Epoch: 119 Average loss: 157.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 292)
-0/69092 Loss: 162.489
-12800/69092 Loss: 156.861
-25600/69092 Loss: 157.719
-38400/69092 Loss: 158.311
-51200/69092 Loss: 155.898
-64000/69092 Loss: 156.442
-Training time 0:04:08.848071
-Epoch: 120 Average loss: 157.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 293)
-0/69092 Loss: 159.276
-12800/69092 Loss: 156.682
-25600/69092 Loss: 156.932
-38400/69092 Loss: 157.718
-51200/69092 Loss: 156.803
-64000/69092 Loss: 156.573
-Training time 0:04:05.920002
-Epoch: 121 Average loss: 157.01
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 294)
-0/69092 Loss: 155.874
-12800/69092 Loss: 157.463
-25600/69092 Loss: 157.989
-38400/69092 Loss: 155.701
-51200/69092 Loss: 156.886
-64000/69092 Loss: 156.351
-Training time 0:04:03.654210
-Epoch: 122 Average loss: 156.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 295)
-0/69092 Loss: 149.058
-12800/69092 Loss: 156.329
-25600/69092 Loss: 155.563
-38400/69092 Loss: 157.396
-51200/69092 Loss: 158.430
-64000/69092 Loss: 156.105
-Training time 0:04:06.935410
-Epoch: 123 Average loss: 156.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 296)
-0/69092 Loss: 158.406
-12800/69092 Loss: 156.088
-25600/69092 Loss: 156.076
-38400/69092 Loss: 157.194
-51200/69092 Loss: 158.158
-64000/69092 Loss: 157.273
-Training time 0:04:11.321915
-Epoch: 124 Average loss: 157.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 297)
-0/69092 Loss: 156.820
-12800/69092 Loss: 156.939
-25600/69092 Loss: 155.882
-38400/69092 Loss: 157.324
-51200/69092 Loss: 156.343
-64000/69092 Loss: 157.685
-Training time 0:04:13.570882
-Epoch: 125 Average loss: 156.86
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 298)
-0/69092 Loss: 153.471
-12800/69092 Loss: 156.685
-25600/69092 Loss: 157.746
-38400/69092 Loss: 156.922
-51200/69092 Loss: 158.207
-64000/69092 Loss: 157.401
-Training time 0:04:10.702523
-Epoch: 126 Average loss: 157.17
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 299)
-0/69092 Loss: 160.194
-12800/69092 Loss: 155.556
-25600/69092 Loss: 156.484
-38400/69092 Loss: 157.497
-51200/69092 Loss: 156.744
-64000/69092 Loss: 157.462
-Training time 0:04:04.298316
-Epoch: 127 Average loss: 156.81
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 300)
-0/69092 Loss: 145.845
-12800/69092 Loss: 157.552
-25600/69092 Loss: 157.499
-38400/69092 Loss: 156.503
-51200/69092 Loss: 158.020
-64000/69092 Loss: 157.439
-Training time 0:04:04.537136
-Epoch: 128 Average loss: 157.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 301)
-0/69092 Loss: 172.349
-12800/69092 Loss: 157.380
-25600/69092 Loss: 157.161
-38400/69092 Loss: 157.727
-51200/69092 Loss: 155.646
-64000/69092 Loss: 157.910
-Training time 0:04:08.531440
-Epoch: 129 Average loss: 157.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 302)
-0/69092 Loss: 155.418
-12800/69092 Loss: 156.609
-25600/69092 Loss: 157.015
-38400/69092 Loss: 158.265
-51200/69092 Loss: 157.511
-64000/69092 Loss: 157.121
-Training time 0:04:06.752566
-Epoch: 130 Average loss: 157.26
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 303)
-0/69092 Loss: 150.533
-12800/69092 Loss: 156.525
-25600/69092 Loss: 157.079
-38400/69092 Loss: 157.841
-51200/69092 Loss: 157.257
-64000/69092 Loss: 157.765
-Training time 0:04:08.646985
-Epoch: 131 Average loss: 157.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 304)
-0/69092 Loss: 155.461
-12800/69092 Loss: 156.606
-25600/69092 Loss: 156.778
-38400/69092 Loss: 156.201
-51200/69092 Loss: 156.135
-64000/69092 Loss: 158.307
-Training time 0:04:09.419583
-Epoch: 132 Average loss: 157.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 305)
-0/69092 Loss: 156.535
-12800/69092 Loss: 156.648
-25600/69092 Loss: 157.401
-38400/69092 Loss: 158.188
-51200/69092 Loss: 156.639
-64000/69092 Loss: 157.362
-Training time 0:04:02.464969
-Epoch: 133 Average loss: 157.16
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 306)
-0/69092 Loss: 166.057
-12800/69092 Loss: 156.458
-25600/69092 Loss: 156.344
-38400/69092 Loss: 157.892
-51200/69092 Loss: 157.120
-64000/69092 Loss: 158.209
-Training time 0:04:07.555364
-Epoch: 134 Average loss: 157.13
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 307)
-0/69092 Loss: 155.097
-12800/69092 Loss: 157.837
-25600/69092 Loss: 156.164
-38400/69092 Loss: 156.819
-51200/69092 Loss: 157.538
-64000/69092 Loss: 156.176
-Training time 0:04:09.609917
-Epoch: 135 Average loss: 157.00
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 308)
-0/69092 Loss: 152.057
-12800/69092 Loss: 156.457
-25600/69092 Loss: 156.684
-38400/69092 Loss: 158.750
-51200/69092 Loss: 156.853
-64000/69092 Loss: 157.246
-Training time 0:04:07.395100
-Epoch: 136 Average loss: 157.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 309)
-0/69092 Loss: 144.699
-12800/69092 Loss: 158.049
-25600/69092 Loss: 155.358
-38400/69092 Loss: 158.175
-51200/69092 Loss: 156.777
-64000/69092 Loss: 157.143
-Training time 0:04:08.038622
-Epoch: 137 Average loss: 157.06
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 310)
-0/69092 Loss: 154.776
-12800/69092 Loss: 158.213
-25600/69092 Loss: 157.469
-38400/69092 Loss: 156.029
-51200/69092 Loss: 155.871
-64000/69092 Loss: 158.126
-Training time 0:04:07.007746
-Epoch: 138 Average loss: 157.09
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 311)
-0/69092 Loss: 166.088
-12800/69092 Loss: 155.682
-25600/69092 Loss: 156.094
-38400/69092 Loss: 157.821
-51200/69092 Loss: 157.103
-64000/69092 Loss: 156.859
-Training time 0:04:04.057358
-Epoch: 139 Average loss: 156.84
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 312)
-0/69092 Loss: 148.434
-12800/69092 Loss: 156.650
-25600/69092 Loss: 156.832
-38400/69092 Loss: 156.339
-51200/69092 Loss: 157.166
-64000/69092 Loss: 157.624
-Training time 0:04:10.618231
-Epoch: 140 Average loss: 156.98
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 313)
-0/69092 Loss: 161.419
-12800/69092 Loss: 155.633
-25600/69092 Loss: 156.680
-38400/69092 Loss: 156.857
-51200/69092 Loss: 157.910
-64000/69092 Loss: 157.843
-Training time 0:04:11.862477
-Epoch: 141 Average loss: 157.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 314)
-0/69092 Loss: 159.316
-12800/69092 Loss: 156.805
-25600/69092 Loss: 157.847
-38400/69092 Loss: 155.797
-51200/69092 Loss: 156.922
-64000/69092 Loss: 156.482
-Training time 0:04:10.162818
-Epoch: 142 Average loss: 156.89
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 315)
-0/69092 Loss: 146.955
-12800/69092 Loss: 157.627
-25600/69092 Loss: 156.975
-38400/69092 Loss: 157.253
-51200/69092 Loss: 156.910
-64000/69092 Loss: 157.968
-Training time 0:04:08.477279
-Epoch: 143 Average loss: 157.17
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 316)
-0/69092 Loss: 154.526
-12800/69092 Loss: 157.462
-25600/69092 Loss: 158.502
-38400/69092 Loss: 155.874
-51200/69092 Loss: 157.289
-64000/69092 Loss: 156.534
-Training time 0:04:07.828540
-Epoch: 144 Average loss: 157.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_256/checkpoints/last' (iter 317)
-0/69092 Loss: 163.826
-12800/69092 Loss: 156.522
-25600/69092 Loss: 156.078
-38400/69092 Loss: 156.854
-51200/69092 Loss: 157.322
diff --git a/OAR.2068285.stderr b/OAR.2068285.stderr
deleted file mode 100644
index 5a9b289cbb..0000000000
--- a/OAR.2068285.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 02:59:26] Job 2068285 KILLED ##
diff --git a/OAR.2068285.stdout b/OAR.2068285.stdout
deleted file mode 100644
index 7a2085697d..0000000000
--- a/OAR.2068285.stdout
+++ /dev/null
@@ -1,3089 +0,0 @@
-Namespace(batch_size=64, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_64', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=True, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce GTX 1080 Ti
-GeForce GTX 1080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last (iter 309)'
-0/69092 Loss: 152.183
-3200/69092 Loss: 151.650
-6400/69092 Loss: 152.285
-9600/69092 Loss: 150.815
-12800/69092 Loss: 153.354
-16000/69092 Loss: 152.782
-19200/69092 Loss: 155.529
-22400/69092 Loss: 154.036
-25600/69092 Loss: 148.649
-28800/69092 Loss: 150.179
-32000/69092 Loss: 152.932
-35200/69092 Loss: 151.995
-38400/69092 Loss: 152.076
-41600/69092 Loss: 153.395
-44800/69092 Loss: 151.396
-48000/69092 Loss: 154.387
-51200/69092 Loss: 153.050
-54400/69092 Loss: 154.637
-57600/69092 Loss: 154.287
-60800/69092 Loss: 148.589
-64000/69092 Loss: 153.666
-67200/69092 Loss: 151.120
-Training time 0:04:52.357383
-Epoch: 1 Average loss: 152.43
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 310)
-0/69092 Loss: 159.442
-3200/69092 Loss: 154.781
-6400/69092 Loss: 152.621
-9600/69092 Loss: 150.426
-12800/69092 Loss: 150.802
-16000/69092 Loss: 152.935
-19200/69092 Loss: 150.630
-22400/69092 Loss: 150.863
-25600/69092 Loss: 154.977
-28800/69092 Loss: 150.534
-32000/69092 Loss: 155.075
-35200/69092 Loss: 150.436
-38400/69092 Loss: 152.814
-41600/69092 Loss: 152.529
-44800/69092 Loss: 151.246
-48000/69092 Loss: 151.439
-51200/69092 Loss: 152.896
-54400/69092 Loss: 153.654
-57600/69092 Loss: 151.745
-60800/69092 Loss: 154.735
-64000/69092 Loss: 152.990
-67200/69092 Loss: 154.547
-Training time 0:04:51.856329
-Epoch: 2 Average loss: 152.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 311)
-0/69092 Loss: 134.734
-3200/69092 Loss: 152.843
-6400/69092 Loss: 152.510
-9600/69092 Loss: 150.592
-12800/69092 Loss: 153.914
-16000/69092 Loss: 152.556
-19200/69092 Loss: 149.478
-22400/69092 Loss: 152.516
-25600/69092 Loss: 152.359
-28800/69092 Loss: 151.001
-32000/69092 Loss: 153.504
-35200/69092 Loss: 153.543
-38400/69092 Loss: 152.340
-41600/69092 Loss: 152.565
-44800/69092 Loss: 153.622
-48000/69092 Loss: 154.323
-51200/69092 Loss: 150.575
-54400/69092 Loss: 151.611
-57600/69092 Loss: 151.667
-60800/69092 Loss: 153.052
-64000/69092 Loss: 153.388
-67200/69092 Loss: 153.600
-Training time 0:04:50.139861
-Epoch: 3 Average loss: 152.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 312)
-0/69092 Loss: 142.408
-3200/69092 Loss: 149.926
-6400/69092 Loss: 154.006
-9600/69092 Loss: 154.148
-12800/69092 Loss: 151.793
-16000/69092 Loss: 151.222
-19200/69092 Loss: 152.250
-22400/69092 Loss: 151.391
-25600/69092 Loss: 155.184
-28800/69092 Loss: 151.960
-32000/69092 Loss: 153.657
-35200/69092 Loss: 155.231
-38400/69092 Loss: 152.180
-41600/69092 Loss: 152.465
-44800/69092 Loss: 152.076
-48000/69092 Loss: 149.416
-51200/69092 Loss: 152.701
-54400/69092 Loss: 151.919
-57600/69092 Loss: 152.060
-60800/69092 Loss: 150.976
-64000/69092 Loss: 151.854
-67200/69092 Loss: 154.316
-Training time 0:04:55.009685
-Epoch: 4 Average loss: 152.39
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 313)
-0/69092 Loss: 153.333
-3200/69092 Loss: 152.545
-6400/69092 Loss: 150.896
-9600/69092 Loss: 150.357
-12800/69092 Loss: 152.456
-16000/69092 Loss: 152.458
-19200/69092 Loss: 152.289
-22400/69092 Loss: 152.380
-25600/69092 Loss: 152.213
-28800/69092 Loss: 152.459
-32000/69092 Loss: 152.800
-35200/69092 Loss: 154.103
-38400/69092 Loss: 152.956
-41600/69092 Loss: 152.906
-44800/69092 Loss: 151.564
-48000/69092 Loss: 153.002
-51200/69092 Loss: 151.203
-54400/69092 Loss: 151.133
-57600/69092 Loss: 154.644
-60800/69092 Loss: 152.807
-64000/69092 Loss: 154.770
-67200/69092 Loss: 150.738
-Training time 0:04:51.641555
-Epoch: 5 Average loss: 152.39
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 314)
-0/69092 Loss: 148.495
-3200/69092 Loss: 154.320
-6400/69092 Loss: 153.600
-9600/69092 Loss: 153.046
-12800/69092 Loss: 150.433
-16000/69092 Loss: 151.382
-19200/69092 Loss: 152.088
-22400/69092 Loss: 152.638
-25600/69092 Loss: 152.848
-28800/69092 Loss: 149.897
-32000/69092 Loss: 155.370
-35200/69092 Loss: 153.207
-38400/69092 Loss: 152.994
-41600/69092 Loss: 152.902
-44800/69092 Loss: 152.503
-48000/69092 Loss: 151.920
-51200/69092 Loss: 152.251
-54400/69092 Loss: 150.518
-57600/69092 Loss: 153.685
-60800/69092 Loss: 151.117
-64000/69092 Loss: 153.273
-67200/69092 Loss: 152.338
-Training time 0:04:49.531773
-Epoch: 6 Average loss: 152.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 315)
-0/69092 Loss: 159.999
-3200/69092 Loss: 152.523
-6400/69092 Loss: 151.299
-9600/69092 Loss: 152.631
-12800/69092 Loss: 154.044
-16000/69092 Loss: 152.559
-19200/69092 Loss: 153.762
-22400/69092 Loss: 152.462
-25600/69092 Loss: 149.804
-28800/69092 Loss: 154.240
-32000/69092 Loss: 153.769
-35200/69092 Loss: 150.327
-38400/69092 Loss: 155.003
-41600/69092 Loss: 151.960
-44800/69092 Loss: 150.458
-48000/69092 Loss: 152.349
-51200/69092 Loss: 152.027
-54400/69092 Loss: 153.317
-57600/69092 Loss: 152.629
-60800/69092 Loss: 152.926
-64000/69092 Loss: 151.968
-67200/69092 Loss: 151.694
-Training time 0:04:58.512221
-Epoch: 7 Average loss: 152.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 316)
-0/69092 Loss: 163.111
-3200/69092 Loss: 153.264
-6400/69092 Loss: 154.351
-9600/69092 Loss: 154.740
-12800/69092 Loss: 153.918
-16000/69092 Loss: 151.023
-19200/69092 Loss: 152.130
-22400/69092 Loss: 154.274
-25600/69092 Loss: 152.311
-28800/69092 Loss: 148.902
-32000/69092 Loss: 152.154
-35200/69092 Loss: 152.465
-38400/69092 Loss: 152.427
-41600/69092 Loss: 151.234
-44800/69092 Loss: 151.904
-48000/69092 Loss: 154.259
-51200/69092 Loss: 148.981
-54400/69092 Loss: 151.418
-57600/69092 Loss: 153.284
-60800/69092 Loss: 153.432
-64000/69092 Loss: 154.522
-67200/69092 Loss: 151.813
-Training time 0:04:52.326015
-Epoch: 8 Average loss: 152.55
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 317)
-0/69092 Loss: 145.411
-3200/69092 Loss: 154.616
-6400/69092 Loss: 154.145
-9600/69092 Loss: 151.741
-12800/69092 Loss: 153.260
-16000/69092 Loss: 153.434
-19200/69092 Loss: 149.795
-22400/69092 Loss: 151.875
-25600/69092 Loss: 154.525
-28800/69092 Loss: 152.066
-32000/69092 Loss: 151.676
-35200/69092 Loss: 153.090
-38400/69092 Loss: 153.029
-41600/69092 Loss: 152.771
-44800/69092 Loss: 150.900
-48000/69092 Loss: 152.190
-51200/69092 Loss: 151.611
-54400/69092 Loss: 153.291
-57600/69092 Loss: 150.412
-60800/69092 Loss: 150.282
-64000/69092 Loss: 153.127
-67200/69092 Loss: 153.294
-Training time 0:04:53.794871
-Epoch: 9 Average loss: 152.44
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 318)
-0/69092 Loss: 128.179
-3200/69092 Loss: 149.781
-6400/69092 Loss: 152.331
-9600/69092 Loss: 154.396
-12800/69092 Loss: 151.316
-16000/69092 Loss: 152.371
-19200/69092 Loss: 152.552
-22400/69092 Loss: 153.303
-25600/69092 Loss: 153.643
-28800/69092 Loss: 150.225
-32000/69092 Loss: 150.622
-35200/69092 Loss: 152.424
-38400/69092 Loss: 151.834
-41600/69092 Loss: 152.264
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-48000/69092 Loss: 153.459
-51200/69092 Loss: 153.347
-54400/69092 Loss: 152.326
-57600/69092 Loss: 153.728
-60800/69092 Loss: 152.451
-64000/69092 Loss: 148.630
-67200/69092 Loss: 152.763
-Training time 0:04:49.848114
-Epoch: 10 Average loss: 152.24
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 319)
-0/69092 Loss: 142.905
-3200/69092 Loss: 153.824
-6400/69092 Loss: 155.878
-9600/69092 Loss: 150.336
-12800/69092 Loss: 153.642
-16000/69092 Loss: 151.411
-19200/69092 Loss: 154.567
-22400/69092 Loss: 153.036
-25600/69092 Loss: 150.087
-28800/69092 Loss: 151.030
-32000/69092 Loss: 151.418
-35200/69092 Loss: 151.023
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-41600/69092 Loss: 151.903
-44800/69092 Loss: 152.763
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-51200/69092 Loss: 151.868
-54400/69092 Loss: 152.579
-57600/69092 Loss: 153.067
-60800/69092 Loss: 152.149
-64000/69092 Loss: 153.555
-67200/69092 Loss: 151.000
-Training time 0:04:57.013579
-Epoch: 11 Average loss: 152.29
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 320)
-0/69092 Loss: 151.394
-3200/69092 Loss: 152.447
-6400/69092 Loss: 152.888
-9600/69092 Loss: 152.646
-12800/69092 Loss: 151.644
-16000/69092 Loss: 152.469
-19200/69092 Loss: 152.163
-22400/69092 Loss: 150.452
-25600/69092 Loss: 151.902
-28800/69092 Loss: 152.144
-32000/69092 Loss: 150.738
-35200/69092 Loss: 153.309
-38400/69092 Loss: 153.811
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-44800/69092 Loss: 151.872
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-51200/69092 Loss: 153.323
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-57600/69092 Loss: 152.336
-60800/69092 Loss: 154.109
-64000/69092 Loss: 152.203
-67200/69092 Loss: 153.926
-Training time 0:04:48.153389
-Epoch: 12 Average loss: 152.41
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 321)
-0/69092 Loss: 157.636
-3200/69092 Loss: 152.608
-6400/69092 Loss: 152.308
-9600/69092 Loss: 153.485
-12800/69092 Loss: 153.940
-16000/69092 Loss: 151.878
-19200/69092 Loss: 149.654
-22400/69092 Loss: 151.707
-25600/69092 Loss: 153.842
-28800/69092 Loss: 150.141
-32000/69092 Loss: 152.478
-35200/69092 Loss: 152.337
-38400/69092 Loss: 149.935
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-48000/69092 Loss: 153.898
-51200/69092 Loss: 152.160
-54400/69092 Loss: 153.422
-57600/69092 Loss: 152.781
-60800/69092 Loss: 153.877
-64000/69092 Loss: 154.009
-67200/69092 Loss: 151.143
-Training time 0:04:45.355561
-Epoch: 13 Average loss: 152.51
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 322)
-0/69092 Loss: 162.517
-3200/69092 Loss: 152.929
-6400/69092 Loss: 152.477
-9600/69092 Loss: 150.981
-12800/69092 Loss: 152.707
-16000/69092 Loss: 155.280
-19200/69092 Loss: 151.793
-22400/69092 Loss: 152.082
-25600/69092 Loss: 155.199
-28800/69092 Loss: 151.704
-32000/69092 Loss: 150.883
-35200/69092 Loss: 153.300
-38400/69092 Loss: 150.486
-41600/69092 Loss: 155.252
-44800/69092 Loss: 155.059
-48000/69092 Loss: 152.528
-51200/69092 Loss: 153.416
-54400/69092 Loss: 154.628
-57600/69092 Loss: 150.056
-60800/69092 Loss: 152.059
-64000/69092 Loss: 151.454
-67200/69092 Loss: 149.021
-Training time 0:04:48.906956
-Epoch: 14 Average loss: 152.60
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 323)
-0/69092 Loss: 157.050
-3200/69092 Loss: 153.959
-6400/69092 Loss: 154.344
-9600/69092 Loss: 152.152
-12800/69092 Loss: 151.359
-16000/69092 Loss: 152.589
-19200/69092 Loss: 150.047
-22400/69092 Loss: 152.870
-25600/69092 Loss: 149.748
-28800/69092 Loss: 153.648
-32000/69092 Loss: 156.431
-35200/69092 Loss: 152.113
-38400/69092 Loss: 152.905
-41600/69092 Loss: 152.468
-44800/69092 Loss: 153.602
-48000/69092 Loss: 152.497
-51200/69092 Loss: 151.044
-54400/69092 Loss: 155.048
-57600/69092 Loss: 151.216
-60800/69092 Loss: 150.927
-64000/69092 Loss: 152.557
-67200/69092 Loss: 153.362
-Training time 0:04:54.813450
-Epoch: 15 Average loss: 152.59
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 324)
-0/69092 Loss: 148.821
-3200/69092 Loss: 152.991
-6400/69092 Loss: 152.562
-9600/69092 Loss: 150.855
-12800/69092 Loss: 153.888
-16000/69092 Loss: 153.659
-19200/69092 Loss: 152.960
-22400/69092 Loss: 152.873
-25600/69092 Loss: 152.063
-28800/69092 Loss: 151.277
-32000/69092 Loss: 151.158
-35200/69092 Loss: 152.072
-38400/69092 Loss: 153.704
-41600/69092 Loss: 153.907
-44800/69092 Loss: 149.131
-48000/69092 Loss: 151.833
-51200/69092 Loss: 151.896
-54400/69092 Loss: 152.958
-57600/69092 Loss: 151.339
-60800/69092 Loss: 151.675
-64000/69092 Loss: 152.641
-67200/69092 Loss: 151.787
-Training time 0:04:57.074914
-Epoch: 16 Average loss: 152.31
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 325)
-0/69092 Loss: 139.830
-3200/69092 Loss: 153.831
-6400/69092 Loss: 154.674
-9600/69092 Loss: 151.321
-12800/69092 Loss: 153.510
-16000/69092 Loss: 148.394
-19200/69092 Loss: 151.813
-22400/69092 Loss: 153.058
-25600/69092 Loss: 154.548
-28800/69092 Loss: 150.580
-32000/69092 Loss: 155.687
-35200/69092 Loss: 152.704
-38400/69092 Loss: 152.194
-41600/69092 Loss: 153.185
-44800/69092 Loss: 148.863
-48000/69092 Loss: 153.429
-51200/69092 Loss: 154.257
-54400/69092 Loss: 152.202
-57600/69092 Loss: 152.896
-60800/69092 Loss: 151.201
-64000/69092 Loss: 153.511
-67200/69092 Loss: 152.102
-Training time 0:04:56.971456
-Epoch: 17 Average loss: 152.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 326)
-0/69092 Loss: 144.373
-3200/69092 Loss: 152.078
-6400/69092 Loss: 153.584
-9600/69092 Loss: 149.502
-12800/69092 Loss: 152.185
-16000/69092 Loss: 152.809
-19200/69092 Loss: 153.496
-22400/69092 Loss: 154.004
-25600/69092 Loss: 154.795
-28800/69092 Loss: 151.465
-32000/69092 Loss: 154.518
-35200/69092 Loss: 149.687
-38400/69092 Loss: 153.964
-41600/69092 Loss: 152.572
-44800/69092 Loss: 149.701
-48000/69092 Loss: 150.567
-51200/69092 Loss: 151.033
-54400/69092 Loss: 153.177
-57600/69092 Loss: 151.122
-60800/69092 Loss: 151.542
-64000/69092 Loss: 152.469
-67200/69092 Loss: 153.430
-Training time 0:05:01.046983
-Epoch: 18 Average loss: 152.26
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 327)
-0/69092 Loss: 152.464
-3200/69092 Loss: 153.488
-6400/69092 Loss: 152.579
-9600/69092 Loss: 152.127
-12800/69092 Loss: 150.396
-16000/69092 Loss: 154.485
-19200/69092 Loss: 150.241
-22400/69092 Loss: 152.079
-25600/69092 Loss: 151.118
-28800/69092 Loss: 153.015
-32000/69092 Loss: 151.977
-35200/69092 Loss: 149.929
-38400/69092 Loss: 149.426
-41600/69092 Loss: 151.497
-44800/69092 Loss: 152.594
-48000/69092 Loss: 155.580
-51200/69092 Loss: 151.766
-54400/69092 Loss: 152.328
-57600/69092 Loss: 154.382
-60800/69092 Loss: 151.399
-64000/69092 Loss: 153.803
-67200/69092 Loss: 153.180
-Training time 0:04:55.558946
-Epoch: 19 Average loss: 152.25
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 328)
-0/69092 Loss: 146.869
-3200/69092 Loss: 153.782
-6400/69092 Loss: 153.934
-9600/69092 Loss: 153.725
-12800/69092 Loss: 153.885
-16000/69092 Loss: 154.710
-19200/69092 Loss: 152.246
-22400/69092 Loss: 152.874
-25600/69092 Loss: 152.616
-28800/69092 Loss: 153.899
-32000/69092 Loss: 150.965
-35200/69092 Loss: 152.105
-38400/69092 Loss: 150.924
-41600/69092 Loss: 151.229
-44800/69092 Loss: 150.414
-48000/69092 Loss: 151.099
-51200/69092 Loss: 151.417
-54400/69092 Loss: 151.783
-57600/69092 Loss: 152.924
-60800/69092 Loss: 151.453
-64000/69092 Loss: 151.253
-67200/69092 Loss: 151.988
-Training time 0:05:00.999168
-Epoch: 20 Average loss: 152.35
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 329)
-0/69092 Loss: 147.028
-3200/69092 Loss: 151.092
-6400/69092 Loss: 153.710
-9600/69092 Loss: 152.265
-12800/69092 Loss: 152.751
-16000/69092 Loss: 153.640
-19200/69092 Loss: 152.519
-22400/69092 Loss: 152.768
-25600/69092 Loss: 153.118
-28800/69092 Loss: 151.120
-32000/69092 Loss: 152.780
-35200/69092 Loss: 152.773
-38400/69092 Loss: 151.942
-41600/69092 Loss: 151.585
-44800/69092 Loss: 153.718
-48000/69092 Loss: 152.276
-51200/69092 Loss: 154.530
-54400/69092 Loss: 152.744
-57600/69092 Loss: 150.482
-60800/69092 Loss: 155.222
-64000/69092 Loss: 150.784
-67200/69092 Loss: 151.592
-Training time 0:04:54.733607
-Epoch: 21 Average loss: 152.55
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 330)
-0/69092 Loss: 151.133
-3200/69092 Loss: 151.407
-6400/69092 Loss: 152.002
-9600/69092 Loss: 152.132
-12800/69092 Loss: 150.633
-16000/69092 Loss: 150.642
-19200/69092 Loss: 153.192
-22400/69092 Loss: 153.700
-25600/69092 Loss: 150.160
-28800/69092 Loss: 152.733
-32000/69092 Loss: 152.790
-35200/69092 Loss: 150.569
-38400/69092 Loss: 152.402
-41600/69092 Loss: 152.672
-44800/69092 Loss: 153.412
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-51200/69092 Loss: 152.697
-54400/69092 Loss: 154.992
-57600/69092 Loss: 151.886
-60800/69092 Loss: 153.533
-64000/69092 Loss: 150.066
-67200/69092 Loss: 151.130
-Training time 0:04:51.479730
-Epoch: 22 Average loss: 152.35
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 331)
-0/69092 Loss: 134.860
-3200/69092 Loss: 153.536
-6400/69092 Loss: 152.443
-9600/69092 Loss: 149.892
-12800/69092 Loss: 150.728
-16000/69092 Loss: 152.499
-19200/69092 Loss: 153.774
-22400/69092 Loss: 152.431
-25600/69092 Loss: 149.763
-28800/69092 Loss: 154.345
-32000/69092 Loss: 151.940
-35200/69092 Loss: 152.357
-38400/69092 Loss: 152.972
-41600/69092 Loss: 150.494
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-48000/69092 Loss: 154.224
-51200/69092 Loss: 151.207
-54400/69092 Loss: 150.331
-57600/69092 Loss: 152.456
-60800/69092 Loss: 153.180
-64000/69092 Loss: 153.737
-67200/69092 Loss: 151.679
-Training time 0:04:55.682500
-Epoch: 23 Average loss: 152.25
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 332)
-0/69092 Loss: 146.132
-3200/69092 Loss: 151.199
-6400/69092 Loss: 151.551
-9600/69092 Loss: 155.865
-12800/69092 Loss: 150.800
-16000/69092 Loss: 151.015
-19200/69092 Loss: 152.506
-22400/69092 Loss: 151.661
-25600/69092 Loss: 151.519
-28800/69092 Loss: 151.153
-32000/69092 Loss: 152.509
-35200/69092 Loss: 150.394
-38400/69092 Loss: 152.259
-41600/69092 Loss: 153.364
-44800/69092 Loss: 152.367
-48000/69092 Loss: 153.211
-51200/69092 Loss: 153.377
-54400/69092 Loss: 152.013
-57600/69092 Loss: 149.970
-60800/69092 Loss: 152.552
-64000/69092 Loss: 152.334
-67200/69092 Loss: 152.434
-Training time 0:04:46.518119
-Epoch: 24 Average loss: 152.18
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 333)
-0/69092 Loss: 149.840
-3200/69092 Loss: 154.191
-6400/69092 Loss: 152.417
-9600/69092 Loss: 150.376
-12800/69092 Loss: 152.603
-16000/69092 Loss: 152.176
-19200/69092 Loss: 151.488
-22400/69092 Loss: 151.300
-25600/69092 Loss: 153.556
-28800/69092 Loss: 151.875
-32000/69092 Loss: 151.179
-35200/69092 Loss: 151.816
-38400/69092 Loss: 153.076
-41600/69092 Loss: 151.797
-44800/69092 Loss: 150.499
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-51200/69092 Loss: 152.232
-54400/69092 Loss: 154.147
-57600/69092 Loss: 152.086
-60800/69092 Loss: 152.965
-64000/69092 Loss: 154.207
-67200/69092 Loss: 153.088
-Training time 0:04:50.798790
-Epoch: 25 Average loss: 152.34
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 334)
-0/69092 Loss: 148.167
-3200/69092 Loss: 154.325
-6400/69092 Loss: 152.557
-9600/69092 Loss: 152.038
-12800/69092 Loss: 150.379
-16000/69092 Loss: 152.418
-19200/69092 Loss: 151.297
-22400/69092 Loss: 151.685
-25600/69092 Loss: 153.702
-28800/69092 Loss: 153.929
-32000/69092 Loss: 151.989
-35200/69092 Loss: 152.220
-38400/69092 Loss: 153.127
-41600/69092 Loss: 153.456
-44800/69092 Loss: 153.248
-48000/69092 Loss: 151.492
-51200/69092 Loss: 152.005
-54400/69092 Loss: 150.737
-57600/69092 Loss: 155.506
-60800/69092 Loss: 148.446
-64000/69092 Loss: 152.352
-67200/69092 Loss: 151.310
-Training time 0:04:56.322250
-Epoch: 26 Average loss: 152.35
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 335)
-0/69092 Loss: 141.427
-3200/69092 Loss: 152.090
-6400/69092 Loss: 152.904
-9600/69092 Loss: 152.459
-12800/69092 Loss: 151.812
-16000/69092 Loss: 150.855
-19200/69092 Loss: 153.354
-22400/69092 Loss: 150.437
-25600/69092 Loss: 153.535
-28800/69092 Loss: 151.582
-32000/69092 Loss: 152.588
-35200/69092 Loss: 149.283
-38400/69092 Loss: 151.001
-41600/69092 Loss: 150.085
-44800/69092 Loss: 154.701
-48000/69092 Loss: 156.761
-51200/69092 Loss: 152.037
-54400/69092 Loss: 153.141
-57600/69092 Loss: 152.711
-60800/69092 Loss: 151.207
-64000/69092 Loss: 153.963
-67200/69092 Loss: 151.814
-Training time 0:04:57.506762
-Epoch: 27 Average loss: 152.31
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 336)
-0/69092 Loss: 133.221
-3200/69092 Loss: 153.101
-6400/69092 Loss: 153.749
-9600/69092 Loss: 152.099
-12800/69092 Loss: 150.121
-16000/69092 Loss: 153.229
-19200/69092 Loss: 152.229
-22400/69092 Loss: 153.361
-25600/69092 Loss: 152.052
-28800/69092 Loss: 152.372
-32000/69092 Loss: 151.172
-35200/69092 Loss: 149.881
-38400/69092 Loss: 152.041
-41600/69092 Loss: 152.504
-44800/69092 Loss: 150.522
-48000/69092 Loss: 152.769
-51200/69092 Loss: 151.048
-54400/69092 Loss: 152.903
-57600/69092 Loss: 151.750
-60800/69092 Loss: 152.186
-64000/69092 Loss: 149.461
-67200/69092 Loss: 154.764
-Training time 0:04:56.992493
-Epoch: 28 Average loss: 152.04
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 337)
-0/69092 Loss: 130.269
-3200/69092 Loss: 153.670
-6400/69092 Loss: 152.220
-9600/69092 Loss: 151.508
-12800/69092 Loss: 153.114
-16000/69092 Loss: 151.541
-19200/69092 Loss: 152.177
-22400/69092 Loss: 153.604
-25600/69092 Loss: 152.756
-28800/69092 Loss: 153.729
-32000/69092 Loss: 152.179
-35200/69092 Loss: 151.586
-38400/69092 Loss: 150.351
-41600/69092 Loss: 152.783
-44800/69092 Loss: 154.172
-48000/69092 Loss: 150.299
-51200/69092 Loss: 151.737
-54400/69092 Loss: 152.123
-57600/69092 Loss: 151.734
-60800/69092 Loss: 147.117
-64000/69092 Loss: 151.109
-67200/69092 Loss: 153.096
-Training time 0:04:51.204427
-Epoch: 29 Average loss: 152.01
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 338)
-0/69092 Loss: 138.425
-3200/69092 Loss: 152.477
-6400/69092 Loss: 150.676
-9600/69092 Loss: 153.611
-12800/69092 Loss: 150.906
-16000/69092 Loss: 152.130
-19200/69092 Loss: 150.774
-22400/69092 Loss: 153.285
-25600/69092 Loss: 153.297
-28800/69092 Loss: 153.633
-32000/69092 Loss: 151.448
-35200/69092 Loss: 153.320
-38400/69092 Loss: 152.201
-41600/69092 Loss: 152.348
-44800/69092 Loss: 150.531
-48000/69092 Loss: 151.512
-51200/69092 Loss: 150.381
-54400/69092 Loss: 152.497
-57600/69092 Loss: 151.720
-60800/69092 Loss: 152.262
-64000/69092 Loss: 155.182
-67200/69092 Loss: 150.858
-Training time 0:04:51.996438
-Epoch: 30 Average loss: 152.18
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 339)
-0/69092 Loss: 149.449
-3200/69092 Loss: 153.819
-6400/69092 Loss: 150.767
-9600/69092 Loss: 154.335
-12800/69092 Loss: 154.126
-16000/69092 Loss: 149.557
-19200/69092 Loss: 151.935
-22400/69092 Loss: 152.038
-25600/69092 Loss: 151.220
-28800/69092 Loss: 151.983
-32000/69092 Loss: 152.670
-35200/69092 Loss: 151.051
-38400/69092 Loss: 153.609
-41600/69092 Loss: 152.595
-44800/69092 Loss: 151.606
-48000/69092 Loss: 150.659
-51200/69092 Loss: 153.891
-54400/69092 Loss: 152.512
-57600/69092 Loss: 152.411
-60800/69092 Loss: 155.702
-64000/69092 Loss: 151.627
-67200/69092 Loss: 152.198
-Training time 0:04:51.963552
-Epoch: 31 Average loss: 152.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 340)
-0/69092 Loss: 134.457
-3200/69092 Loss: 153.652
-6400/69092 Loss: 154.143
-9600/69092 Loss: 150.744
-12800/69092 Loss: 154.232
-16000/69092 Loss: 149.880
-19200/69092 Loss: 153.318
-22400/69092 Loss: 152.315
-25600/69092 Loss: 151.022
-28800/69092 Loss: 152.031
-32000/69092 Loss: 150.523
-35200/69092 Loss: 154.217
-38400/69092 Loss: 150.024
-41600/69092 Loss: 151.019
-44800/69092 Loss: 152.273
-48000/69092 Loss: 152.065
-51200/69092 Loss: 156.054
-54400/69092 Loss: 152.644
-57600/69092 Loss: 150.708
-60800/69092 Loss: 150.233
-64000/69092 Loss: 151.841
-67200/69092 Loss: 153.538
-Training time 0:04:59.586796
-Epoch: 32 Average loss: 152.18
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 341)
-0/69092 Loss: 184.830
-3200/69092 Loss: 149.674
-6400/69092 Loss: 151.520
-9600/69092 Loss: 153.057
-12800/69092 Loss: 152.992
-16000/69092 Loss: 150.488
-19200/69092 Loss: 151.317
-22400/69092 Loss: 153.007
-25600/69092 Loss: 152.180
-28800/69092 Loss: 153.014
-32000/69092 Loss: 153.689
-35200/69092 Loss: 149.681
-38400/69092 Loss: 151.869
-41600/69092 Loss: 153.280
-44800/69092 Loss: 153.019
-48000/69092 Loss: 152.745
-51200/69092 Loss: 152.673
-54400/69092 Loss: 154.760
-57600/69092 Loss: 150.124
-60800/69092 Loss: 150.195
-64000/69092 Loss: 151.911
-67200/69092 Loss: 152.179
-Training time 0:04:44.373168
-Epoch: 33 Average loss: 152.11
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 342)
-0/69092 Loss: 149.493
-3200/69092 Loss: 153.542
-6400/69092 Loss: 152.415
-9600/69092 Loss: 154.209
-12800/69092 Loss: 150.385
-16000/69092 Loss: 153.775
-19200/69092 Loss: 150.375
-22400/69092 Loss: 151.428
-25600/69092 Loss: 151.631
-28800/69092 Loss: 153.269
-32000/69092 Loss: 151.129
-35200/69092 Loss: 151.653
-38400/69092 Loss: 155.009
-41600/69092 Loss: 155.339
-44800/69092 Loss: 151.274
-48000/69092 Loss: 153.453
-51200/69092 Loss: 150.441
-54400/69092 Loss: 152.416
-57600/69092 Loss: 153.149
-60800/69092 Loss: 151.520
-64000/69092 Loss: 152.832
-67200/69092 Loss: 152.487
-Training time 0:04:56.752912
-Epoch: 34 Average loss: 152.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 343)
-0/69092 Loss: 156.455
-3200/69092 Loss: 153.220
-6400/69092 Loss: 151.141
-9600/69092 Loss: 151.671
-12800/69092 Loss: 151.010
-16000/69092 Loss: 155.255
-19200/69092 Loss: 153.328
-22400/69092 Loss: 151.027
-25600/69092 Loss: 155.107
-28800/69092 Loss: 151.477
-32000/69092 Loss: 151.732
-35200/69092 Loss: 156.207
-38400/69092 Loss: 150.103
-41600/69092 Loss: 153.276
-44800/69092 Loss: 150.903
-48000/69092 Loss: 149.701
-51200/69092 Loss: 151.371
-54400/69092 Loss: 152.385
-57600/69092 Loss: 153.020
-60800/69092 Loss: 149.253
-64000/69092 Loss: 152.212
-67200/69092 Loss: 151.646
-Training time 0:04:41.271757
-Epoch: 35 Average loss: 152.13
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 344)
-0/69092 Loss: 152.728
-3200/69092 Loss: 154.176
-6400/69092 Loss: 152.111
-9600/69092 Loss: 153.827
-12800/69092 Loss: 148.727
-16000/69092 Loss: 154.085
-19200/69092 Loss: 150.397
-22400/69092 Loss: 152.221
-25600/69092 Loss: 152.440
-28800/69092 Loss: 151.169
-32000/69092 Loss: 150.328
-35200/69092 Loss: 153.477
-38400/69092 Loss: 154.612
-41600/69092 Loss: 151.677
-44800/69092 Loss: 153.689
-48000/69092 Loss: 150.797
-51200/69092 Loss: 151.514
-54400/69092 Loss: 149.755
-57600/69092 Loss: 152.959
-60800/69092 Loss: 151.039
-64000/69092 Loss: 150.996
-67200/69092 Loss: 157.028
-Training time 0:04:50.749251
-Epoch: 36 Average loss: 152.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 345)
-0/69092 Loss: 144.968
-3200/69092 Loss: 150.944
-6400/69092 Loss: 151.882
-9600/69092 Loss: 151.432
-12800/69092 Loss: 153.335
-16000/69092 Loss: 151.410
-19200/69092 Loss: 151.090
-22400/69092 Loss: 151.332
-25600/69092 Loss: 150.389
-28800/69092 Loss: 151.724
-32000/69092 Loss: 153.236
-35200/69092 Loss: 151.028
-38400/69092 Loss: 153.111
-41600/69092 Loss: 152.455
-44800/69092 Loss: 150.457
-48000/69092 Loss: 151.080
-51200/69092 Loss: 152.359
-54400/69092 Loss: 154.452
-57600/69092 Loss: 153.823
-60800/69092 Loss: 152.210
-64000/69092 Loss: 156.284
-67200/69092 Loss: 153.959
-Training time 0:04:56.092557
-Epoch: 37 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 346)
-0/69092 Loss: 154.519
-3200/69092 Loss: 152.953
-6400/69092 Loss: 151.713
-9600/69092 Loss: 151.209
-12800/69092 Loss: 152.897
-16000/69092 Loss: 152.985
-19200/69092 Loss: 150.601
-22400/69092 Loss: 152.633
-25600/69092 Loss: 152.365
-28800/69092 Loss: 152.170
-32000/69092 Loss: 153.599
-35200/69092 Loss: 154.194
-38400/69092 Loss: 151.321
-41600/69092 Loss: 151.657
-44800/69092 Loss: 152.809
-48000/69092 Loss: 149.193
-51200/69092 Loss: 151.585
-54400/69092 Loss: 147.995
-57600/69092 Loss: 154.751
-60800/69092 Loss: 152.405
-64000/69092 Loss: 151.126
-67200/69092 Loss: 153.054
-Training time 0:04:46.340005
-Epoch: 38 Average loss: 152.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 347)
-0/69092 Loss: 155.517
-3200/69092 Loss: 151.532
-6400/69092 Loss: 151.045
-9600/69092 Loss: 150.674
-12800/69092 Loss: 149.913
-16000/69092 Loss: 153.018
-19200/69092 Loss: 151.897
-22400/69092 Loss: 151.769
-25600/69092 Loss: 151.634
-28800/69092 Loss: 152.942
-32000/69092 Loss: 153.543
-35200/69092 Loss: 148.720
-38400/69092 Loss: 153.905
-41600/69092 Loss: 151.111
-44800/69092 Loss: 153.790
-48000/69092 Loss: 151.695
-51200/69092 Loss: 152.201
-54400/69092 Loss: 152.448
-57600/69092 Loss: 154.993
-60800/69092 Loss: 152.544
-64000/69092 Loss: 154.550
-67200/69092 Loss: 153.987
-Training time 0:04:51.157197
-Epoch: 39 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 348)
-0/69092 Loss: 164.980
-3200/69092 Loss: 152.534
-6400/69092 Loss: 151.433
-9600/69092 Loss: 148.842
-12800/69092 Loss: 153.554
-16000/69092 Loss: 153.431
-19200/69092 Loss: 152.971
-22400/69092 Loss: 152.744
-25600/69092 Loss: 151.805
-28800/69092 Loss: 154.479
-32000/69092 Loss: 151.800
-35200/69092 Loss: 152.465
-38400/69092 Loss: 152.071
-41600/69092 Loss: 150.298
-44800/69092 Loss: 153.446
-48000/69092 Loss: 151.722
-51200/69092 Loss: 154.719
-54400/69092 Loss: 149.358
-57600/69092 Loss: 151.644
-60800/69092 Loss: 152.203
-64000/69092 Loss: 153.698
-67200/69092 Loss: 153.300
-Training time 0:04:58.104908
-Epoch: 40 Average loss: 152.25
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 349)
-0/69092 Loss: 155.595
-3200/69092 Loss: 150.947
-6400/69092 Loss: 154.446
-9600/69092 Loss: 153.506
-12800/69092 Loss: 151.536
-16000/69092 Loss: 153.836
-19200/69092 Loss: 153.533
-22400/69092 Loss: 150.537
-25600/69092 Loss: 152.646
-28800/69092 Loss: 151.218
-32000/69092 Loss: 153.552
-35200/69092 Loss: 152.001
-38400/69092 Loss: 152.176
-41600/69092 Loss: 152.006
-44800/69092 Loss: 151.491
-48000/69092 Loss: 150.715
-51200/69092 Loss: 151.317
-54400/69092 Loss: 152.502
-57600/69092 Loss: 154.138
-60800/69092 Loss: 150.647
-64000/69092 Loss: 152.744
-67200/69092 Loss: 150.142
-Training time 0:04:54.278531
-Epoch: 41 Average loss: 152.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 350)
-0/69092 Loss: 165.297
-3200/69092 Loss: 150.804
-6400/69092 Loss: 151.645
-9600/69092 Loss: 153.291
-12800/69092 Loss: 152.469
-16000/69092 Loss: 150.577
-19200/69092 Loss: 154.290
-22400/69092 Loss: 150.442
-25600/69092 Loss: 154.266
-28800/69092 Loss: 154.679
-32000/69092 Loss: 152.875
-35200/69092 Loss: 151.537
-38400/69092 Loss: 151.901
-41600/69092 Loss: 151.255
-44800/69092 Loss: 151.752
-48000/69092 Loss: 152.236
-51200/69092 Loss: 152.769
-54400/69092 Loss: 151.213
-57600/69092 Loss: 153.572
-60800/69092 Loss: 152.105
-64000/69092 Loss: 149.684
-67200/69092 Loss: 152.700
-Training time 0:05:07.562855
-Epoch: 42 Average loss: 152.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 351)
-0/69092 Loss: 148.370
-3200/69092 Loss: 152.623
-6400/69092 Loss: 152.860
-9600/69092 Loss: 153.164
-12800/69092 Loss: 152.447
-16000/69092 Loss: 152.457
-19200/69092 Loss: 153.142
-22400/69092 Loss: 150.295
-25600/69092 Loss: 152.441
-28800/69092 Loss: 150.415
-32000/69092 Loss: 154.880
-35200/69092 Loss: 154.536
-38400/69092 Loss: 153.023
-41600/69092 Loss: 152.579
-44800/69092 Loss: 153.105
-48000/69092 Loss: 150.858
-51200/69092 Loss: 148.467
-54400/69092 Loss: 150.451
-57600/69092 Loss: 152.593
-60800/69092 Loss: 150.685
-64000/69092 Loss: 151.622
-67200/69092 Loss: 153.743
-Training time 0:04:51.185614
-Epoch: 43 Average loss: 152.22
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 352)
-0/69092 Loss: 167.932
-3200/69092 Loss: 151.753
-6400/69092 Loss: 153.492
-9600/69092 Loss: 153.002
-12800/69092 Loss: 151.284
-16000/69092 Loss: 152.758
-19200/69092 Loss: 152.294
-22400/69092 Loss: 150.516
-25600/69092 Loss: 152.514
-28800/69092 Loss: 152.163
-32000/69092 Loss: 147.794
-35200/69092 Loss: 152.661
-38400/69092 Loss: 152.315
-41600/69092 Loss: 152.247
-44800/69092 Loss: 155.118
-48000/69092 Loss: 152.939
-51200/69092 Loss: 153.689
-54400/69092 Loss: 152.181
-57600/69092 Loss: 149.681
-60800/69092 Loss: 150.995
-64000/69092 Loss: 151.173
-67200/69092 Loss: 153.536
-Training time 0:04:55.612014
-Epoch: 44 Average loss: 152.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 353)
-0/69092 Loss: 145.841
-3200/69092 Loss: 152.229
-6400/69092 Loss: 151.560
-9600/69092 Loss: 151.520
-12800/69092 Loss: 152.022
-16000/69092 Loss: 149.459
-19200/69092 Loss: 151.850
-22400/69092 Loss: 151.131
-25600/69092 Loss: 154.602
-28800/69092 Loss: 153.778
-32000/69092 Loss: 151.886
-35200/69092 Loss: 149.483
-38400/69092 Loss: 150.160
-41600/69092 Loss: 150.472
-44800/69092 Loss: 153.515
-48000/69092 Loss: 153.779
-51200/69092 Loss: 151.000
-54400/69092 Loss: 153.249
-57600/69092 Loss: 152.344
-60800/69092 Loss: 154.424
-64000/69092 Loss: 152.395
-67200/69092 Loss: 155.873
-Training time 0:04:51.201725
-Epoch: 45 Average loss: 152.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 354)
-0/69092 Loss: 137.913
-3200/69092 Loss: 152.157
-6400/69092 Loss: 152.798
-9600/69092 Loss: 152.298
-12800/69092 Loss: 152.906
-16000/69092 Loss: 154.373
-19200/69092 Loss: 151.240
-22400/69092 Loss: 153.380
-25600/69092 Loss: 153.667
-28800/69092 Loss: 152.635
-32000/69092 Loss: 151.434
-35200/69092 Loss: 150.640
-38400/69092 Loss: 151.175
-41600/69092 Loss: 150.284
-44800/69092 Loss: 151.346
-48000/69092 Loss: 149.708
-51200/69092 Loss: 153.606
-54400/69092 Loss: 151.059
-57600/69092 Loss: 150.702
-60800/69092 Loss: 153.747
-64000/69092 Loss: 152.882
-67200/69092 Loss: 152.776
-Training time 0:04:48.809736
-Epoch: 46 Average loss: 152.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 355)
-0/69092 Loss: 155.595
-3200/69092 Loss: 151.454
-6400/69092 Loss: 150.406
-9600/69092 Loss: 153.454
-12800/69092 Loss: 151.006
-16000/69092 Loss: 151.426
-19200/69092 Loss: 156.457
-22400/69092 Loss: 150.815
-25600/69092 Loss: 151.828
-28800/69092 Loss: 151.957
-32000/69092 Loss: 151.945
-35200/69092 Loss: 152.698
-38400/69092 Loss: 152.272
-41600/69092 Loss: 150.738
-44800/69092 Loss: 152.915
-48000/69092 Loss: 153.258
-51200/69092 Loss: 151.136
-54400/69092 Loss: 153.077
-57600/69092 Loss: 152.956
-60800/69092 Loss: 149.251
-64000/69092 Loss: 151.603
-67200/69092 Loss: 153.848
-Training time 0:04:50.084359
-Epoch: 47 Average loss: 152.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 356)
-0/69092 Loss: 156.728
-3200/69092 Loss: 153.443
-6400/69092 Loss: 150.638
-9600/69092 Loss: 151.727
-12800/69092 Loss: 152.303
-16000/69092 Loss: 151.170
-19200/69092 Loss: 152.111
-22400/69092 Loss: 152.699
-25600/69092 Loss: 150.311
-28800/69092 Loss: 150.221
-32000/69092 Loss: 155.142
-35200/69092 Loss: 152.097
-38400/69092 Loss: 152.748
-41600/69092 Loss: 155.204
-44800/69092 Loss: 152.113
-48000/69092 Loss: 152.013
-51200/69092 Loss: 152.560
-54400/69092 Loss: 154.394
-57600/69092 Loss: 151.125
-60800/69092 Loss: 153.749
-64000/69092 Loss: 152.106
-67200/69092 Loss: 151.150
-Training time 0:04:56.589392
-Epoch: 48 Average loss: 152.34
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 357)
-0/69092 Loss: 162.978
-3200/69092 Loss: 153.373
-6400/69092 Loss: 151.620
-9600/69092 Loss: 151.033
-12800/69092 Loss: 152.945
-16000/69092 Loss: 151.605
-19200/69092 Loss: 150.252
-22400/69092 Loss: 151.784
-25600/69092 Loss: 152.188
-28800/69092 Loss: 151.456
-32000/69092 Loss: 152.454
-35200/69092 Loss: 153.653
-38400/69092 Loss: 152.103
-41600/69092 Loss: 153.231
-44800/69092 Loss: 150.651
-48000/69092 Loss: 152.846
-51200/69092 Loss: 151.844
-54400/69092 Loss: 152.032
-57600/69092 Loss: 153.584
-60800/69092 Loss: 151.616
-64000/69092 Loss: 153.219
-67200/69092 Loss: 152.786
-Training time 0:04:47.694802
-Epoch: 49 Average loss: 152.25
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 358)
-0/69092 Loss: 146.221
-3200/69092 Loss: 152.938
-6400/69092 Loss: 153.933
-9600/69092 Loss: 152.109
-12800/69092 Loss: 153.504
-16000/69092 Loss: 153.531
-19200/69092 Loss: 153.283
-22400/69092 Loss: 150.464
-25600/69092 Loss: 152.537
-28800/69092 Loss: 153.610
-32000/69092 Loss: 152.708
-35200/69092 Loss: 152.029
-38400/69092 Loss: 148.441
-41600/69092 Loss: 149.923
-44800/69092 Loss: 151.397
-48000/69092 Loss: 151.045
-51200/69092 Loss: 152.944
-54400/69092 Loss: 151.273
-57600/69092 Loss: 153.945
-60800/69092 Loss: 153.427
-64000/69092 Loss: 153.790
-67200/69092 Loss: 151.499
-Training time 0:04:50.751972
-Epoch: 50 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 359)
-0/69092 Loss: 165.142
-3200/69092 Loss: 151.661
-6400/69092 Loss: 151.705
-9600/69092 Loss: 151.387
-12800/69092 Loss: 153.068
-16000/69092 Loss: 153.747
-19200/69092 Loss: 150.545
-22400/69092 Loss: 150.692
-25600/69092 Loss: 152.346
-28800/69092 Loss: 151.423
-32000/69092 Loss: 153.013
-35200/69092 Loss: 149.609
-38400/69092 Loss: 153.360
-41600/69092 Loss: 150.800
-44800/69092 Loss: 153.717
-48000/69092 Loss: 151.040
-51200/69092 Loss: 152.198
-54400/69092 Loss: 152.882
-57600/69092 Loss: 153.217
-60800/69092 Loss: 151.976
-64000/69092 Loss: 152.568
-67200/69092 Loss: 154.505
-Training time 0:04:53.556238
-Epoch: 51 Average loss: 152.22
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 360)
-0/69092 Loss: 155.354
-3200/69092 Loss: 151.415
-6400/69092 Loss: 148.914
-9600/69092 Loss: 151.348
-12800/69092 Loss: 152.186
-16000/69092 Loss: 154.559
-19200/69092 Loss: 153.989
-22400/69092 Loss: 154.117
-25600/69092 Loss: 152.078
-28800/69092 Loss: 152.098
-32000/69092 Loss: 151.568
-35200/69092 Loss: 151.049
-38400/69092 Loss: 151.978
-41600/69092 Loss: 153.583
-44800/69092 Loss: 152.448
-48000/69092 Loss: 148.927
-51200/69092 Loss: 153.927
-54400/69092 Loss: 152.828
-57600/69092 Loss: 152.888
-60800/69092 Loss: 150.125
-64000/69092 Loss: 150.730
-67200/69092 Loss: 152.808
-Training time 0:05:00.744422
-Epoch: 52 Average loss: 152.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 361)
-0/69092 Loss: 146.191
-3200/69092 Loss: 151.267
-6400/69092 Loss: 155.417
-9600/69092 Loss: 149.679
-12800/69092 Loss: 152.965
-16000/69092 Loss: 151.732
-19200/69092 Loss: 152.283
-22400/69092 Loss: 151.821
-25600/69092 Loss: 151.954
-28800/69092 Loss: 156.055
-32000/69092 Loss: 152.704
-35200/69092 Loss: 152.981
-38400/69092 Loss: 149.679
-41600/69092 Loss: 151.232
-44800/69092 Loss: 151.826
-48000/69092 Loss: 151.640
-51200/69092 Loss: 150.887
-54400/69092 Loss: 153.202
-57600/69092 Loss: 152.679
-60800/69092 Loss: 151.314
-64000/69092 Loss: 150.668
-67200/69092 Loss: 153.902
-Training time 0:04:54.495637
-Epoch: 53 Average loss: 152.24
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 362)
-0/69092 Loss: 166.947
-3200/69092 Loss: 154.093
-6400/69092 Loss: 154.242
-9600/69092 Loss: 152.789
-12800/69092 Loss: 154.342
-16000/69092 Loss: 149.782
-19200/69092 Loss: 153.207
-22400/69092 Loss: 151.134
-25600/69092 Loss: 152.531
-28800/69092 Loss: 151.491
-32000/69092 Loss: 149.411
-35200/69092 Loss: 153.941
-38400/69092 Loss: 152.423
-41600/69092 Loss: 151.690
-44800/69092 Loss: 150.280
-48000/69092 Loss: 152.689
-51200/69092 Loss: 149.195
-54400/69092 Loss: 153.367
-57600/69092 Loss: 154.523
-60800/69092 Loss: 152.483
-64000/69092 Loss: 152.741
-67200/69092 Loss: 149.173
-Training time 0:04:45.627212
-Epoch: 54 Average loss: 152.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 363)
-0/69092 Loss: 157.367
-3200/69092 Loss: 150.394
-6400/69092 Loss: 150.663
-9600/69092 Loss: 153.807
-12800/69092 Loss: 151.130
-16000/69092 Loss: 154.581
-19200/69092 Loss: 152.572
-22400/69092 Loss: 152.268
-25600/69092 Loss: 155.387
-28800/69092 Loss: 150.463
-32000/69092 Loss: 151.389
-35200/69092 Loss: 151.641
-38400/69092 Loss: 153.353
-41600/69092 Loss: 152.714
-44800/69092 Loss: 152.886
-48000/69092 Loss: 153.651
-51200/69092 Loss: 152.755
-54400/69092 Loss: 150.921
-57600/69092 Loss: 151.642
-60800/69092 Loss: 150.403
-64000/69092 Loss: 151.311
-67200/69092 Loss: 151.678
-Training time 0:05:02.730608
-Epoch: 55 Average loss: 152.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 364)
-0/69092 Loss: 145.930
-3200/69092 Loss: 150.429
-6400/69092 Loss: 151.513
-9600/69092 Loss: 152.365
-12800/69092 Loss: 151.374
-16000/69092 Loss: 152.184
-19200/69092 Loss: 152.533
-22400/69092 Loss: 154.206
-25600/69092 Loss: 153.850
-28800/69092 Loss: 151.375
-32000/69092 Loss: 154.196
-35200/69092 Loss: 152.400
-38400/69092 Loss: 151.774
-41600/69092 Loss: 153.905
-44800/69092 Loss: 151.187
-48000/69092 Loss: 150.063
-51200/69092 Loss: 152.525
-54400/69092 Loss: 150.089
-57600/69092 Loss: 153.965
-60800/69092 Loss: 152.555
-64000/69092 Loss: 150.469
-67200/69092 Loss: 153.792
-Training time 0:05:08.792934
-Epoch: 56 Average loss: 152.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 365)
-0/69092 Loss: 152.498
-3200/69092 Loss: 150.841
-6400/69092 Loss: 149.979
-9600/69092 Loss: 154.737
-12800/69092 Loss: 152.760
-16000/69092 Loss: 153.164
-19200/69092 Loss: 151.122
-22400/69092 Loss: 150.475
-25600/69092 Loss: 153.124
-28800/69092 Loss: 150.368
-32000/69092 Loss: 152.099
-35200/69092 Loss: 154.059
-38400/69092 Loss: 152.283
-41600/69092 Loss: 153.770
-44800/69092 Loss: 151.144
-48000/69092 Loss: 153.797
-51200/69092 Loss: 153.163
-54400/69092 Loss: 151.551
-57600/69092 Loss: 149.193
-60800/69092 Loss: 152.865
-64000/69092 Loss: 151.365
-67200/69092 Loss: 151.513
-Training time 0:04:57.827078
-Epoch: 57 Average loss: 152.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 366)
-0/69092 Loss: 147.381
-3200/69092 Loss: 153.777
-6400/69092 Loss: 153.114
-9600/69092 Loss: 149.780
-12800/69092 Loss: 153.229
-16000/69092 Loss: 150.720
-19200/69092 Loss: 151.541
-22400/69092 Loss: 152.261
-25600/69092 Loss: 151.935
-28800/69092 Loss: 150.915
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-35200/69092 Loss: 151.364
-38400/69092 Loss: 151.890
-41600/69092 Loss: 153.117
-44800/69092 Loss: 151.360
-48000/69092 Loss: 152.360
-51200/69092 Loss: 152.068
-54400/69092 Loss: 149.764
-57600/69092 Loss: 152.226
-60800/69092 Loss: 151.177
-64000/69092 Loss: 153.096
-67200/69092 Loss: 153.029
-Training time 0:05:02.011952
-Epoch: 58 Average loss: 151.88
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 367)
-0/69092 Loss: 150.569
-3200/69092 Loss: 152.745
-6400/69092 Loss: 153.195
-9600/69092 Loss: 150.142
-12800/69092 Loss: 153.325
-16000/69092 Loss: 149.827
-19200/69092 Loss: 153.633
-22400/69092 Loss: 152.257
-25600/69092 Loss: 151.171
-28800/69092 Loss: 148.631
-32000/69092 Loss: 153.539
-35200/69092 Loss: 154.201
-38400/69092 Loss: 151.118
-41600/69092 Loss: 153.224
-44800/69092 Loss: 151.894
-48000/69092 Loss: 153.593
-51200/69092 Loss: 150.882
-54400/69092 Loss: 153.404
-57600/69092 Loss: 152.346
-60800/69092 Loss: 154.515
-64000/69092 Loss: 151.724
-67200/69092 Loss: 151.763
-Training time 0:04:51.397189
-Epoch: 59 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 368)
-0/69092 Loss: 152.698
-3200/69092 Loss: 150.510
-6400/69092 Loss: 154.781
-9600/69092 Loss: 152.349
-12800/69092 Loss: 152.191
-16000/69092 Loss: 150.223
-19200/69092 Loss: 150.018
-22400/69092 Loss: 153.098
-25600/69092 Loss: 152.559
-28800/69092 Loss: 150.995
-32000/69092 Loss: 150.916
-35200/69092 Loss: 155.911
-38400/69092 Loss: 151.247
-41600/69092 Loss: 151.564
-44800/69092 Loss: 154.736
-48000/69092 Loss: 150.521
-51200/69092 Loss: 151.808
-54400/69092 Loss: 153.132
-57600/69092 Loss: 152.417
-60800/69092 Loss: 155.007
-64000/69092 Loss: 151.645
-67200/69092 Loss: 151.255
-Training time 0:04:56.358551
-Epoch: 60 Average loss: 152.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 369)
-0/69092 Loss: 144.129
-3200/69092 Loss: 151.475
-6400/69092 Loss: 151.476
-9600/69092 Loss: 152.586
-12800/69092 Loss: 151.600
-16000/69092 Loss: 150.702
-19200/69092 Loss: 150.883
-22400/69092 Loss: 151.202
-25600/69092 Loss: 153.367
-28800/69092 Loss: 152.773
-32000/69092 Loss: 151.591
-35200/69092 Loss: 152.391
-38400/69092 Loss: 152.063
-41600/69092 Loss: 153.060
-44800/69092 Loss: 151.395
-48000/69092 Loss: 154.362
-51200/69092 Loss: 150.850
-54400/69092 Loss: 154.596
-57600/69092 Loss: 151.363
-60800/69092 Loss: 153.536
-64000/69092 Loss: 155.335
-67200/69092 Loss: 151.891
-Training time 0:05:23.467534
-Epoch: 61 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 370)
-0/69092 Loss: 163.940
-3200/69092 Loss: 150.827
-6400/69092 Loss: 149.793
-9600/69092 Loss: 151.618
-12800/69092 Loss: 151.544
-16000/69092 Loss: 152.441
-19200/69092 Loss: 152.698
-22400/69092 Loss: 152.034
-25600/69092 Loss: 150.992
-28800/69092 Loss: 149.667
-32000/69092 Loss: 153.019
-35200/69092 Loss: 154.537
-38400/69092 Loss: 155.126
-41600/69092 Loss: 150.875
-44800/69092 Loss: 151.684
-48000/69092 Loss: 150.959
-51200/69092 Loss: 152.445
-54400/69092 Loss: 152.994
-57600/69092 Loss: 151.815
-60800/69092 Loss: 153.775
-64000/69092 Loss: 151.573
-67200/69092 Loss: 155.133
-Training time 0:05:53.166138
-Epoch: 62 Average loss: 152.18
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 371)
-0/69092 Loss: 160.420
-3200/69092 Loss: 153.931
-6400/69092 Loss: 152.696
-9600/69092 Loss: 152.333
-12800/69092 Loss: 151.992
-16000/69092 Loss: 150.342
-19200/69092 Loss: 149.804
-22400/69092 Loss: 151.871
-25600/69092 Loss: 150.169
-28800/69092 Loss: 157.273
-32000/69092 Loss: 152.391
-35200/69092 Loss: 153.342
-38400/69092 Loss: 153.075
-41600/69092 Loss: 155.212
-44800/69092 Loss: 152.789
-48000/69092 Loss: 153.142
-51200/69092 Loss: 149.485
-54400/69092 Loss: 152.921
-57600/69092 Loss: 150.541
-60800/69092 Loss: 152.106
-64000/69092 Loss: 151.806
-67200/69092 Loss: 150.912
-Training time 0:05:24.650218
-Epoch: 63 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 372)
-0/69092 Loss: 157.216
-3200/69092 Loss: 152.605
-6400/69092 Loss: 154.170
-9600/69092 Loss: 150.242
-12800/69092 Loss: 150.847
-16000/69092 Loss: 153.558
-19200/69092 Loss: 149.197
-22400/69092 Loss: 152.052
-25600/69092 Loss: 153.600
-28800/69092 Loss: 150.805
-32000/69092 Loss: 151.154
-35200/69092 Loss: 151.345
-38400/69092 Loss: 153.986
-41600/69092 Loss: 153.242
-44800/69092 Loss: 151.297
-48000/69092 Loss: 152.481
-51200/69092 Loss: 154.252
-54400/69092 Loss: 150.514
-57600/69092 Loss: 151.360
-60800/69092 Loss: 151.142
-64000/69092 Loss: 152.341
-67200/69092 Loss: 152.235
-Training time 0:05:23.349995
-Epoch: 64 Average loss: 152.04
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 373)
-0/69092 Loss: 156.083
-3200/69092 Loss: 148.343
-6400/69092 Loss: 151.406
-9600/69092 Loss: 152.402
-12800/69092 Loss: 152.789
-16000/69092 Loss: 152.097
-19200/69092 Loss: 151.255
-22400/69092 Loss: 150.589
-25600/69092 Loss: 151.193
-28800/69092 Loss: 151.768
-32000/69092 Loss: 152.436
-35200/69092 Loss: 151.905
-38400/69092 Loss: 151.210
-41600/69092 Loss: 153.031
-44800/69092 Loss: 155.077
-48000/69092 Loss: 152.141
-51200/69092 Loss: 152.639
-54400/69092 Loss: 152.202
-57600/69092 Loss: 153.911
-60800/69092 Loss: 150.886
-64000/69092 Loss: 151.991
-67200/69092 Loss: 153.081
-Training time 0:05:27.113903
-Epoch: 65 Average loss: 152.06
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 374)
-0/69092 Loss: 146.668
-3200/69092 Loss: 154.008
-6400/69092 Loss: 155.628
-9600/69092 Loss: 152.317
-12800/69092 Loss: 152.248
-16000/69092 Loss: 153.502
-19200/69092 Loss: 153.896
-22400/69092 Loss: 151.885
-25600/69092 Loss: 153.051
-28800/69092 Loss: 150.148
-32000/69092 Loss: 151.484
-35200/69092 Loss: 151.041
-38400/69092 Loss: 152.862
-41600/69092 Loss: 150.271
-44800/69092 Loss: 153.355
-48000/69092 Loss: 150.979
-51200/69092 Loss: 150.087
-54400/69092 Loss: 150.249
-57600/69092 Loss: 153.382
-60800/69092 Loss: 150.308
-64000/69092 Loss: 152.263
-67200/69092 Loss: 150.980
-Training time 0:05:23.714057
-Epoch: 66 Average loss: 152.09
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 375)
-0/69092 Loss: 142.300
-3200/69092 Loss: 152.648
-6400/69092 Loss: 153.002
-9600/69092 Loss: 151.178
-12800/69092 Loss: 151.427
-16000/69092 Loss: 150.636
-19200/69092 Loss: 153.439
-22400/69092 Loss: 153.312
-25600/69092 Loss: 151.814
-28800/69092 Loss: 153.635
-32000/69092 Loss: 152.744
-35200/69092 Loss: 152.227
-38400/69092 Loss: 152.585
-41600/69092 Loss: 151.846
-44800/69092 Loss: 151.106
-48000/69092 Loss: 152.238
-51200/69092 Loss: 150.460
-54400/69092 Loss: 153.362
-57600/69092 Loss: 154.661
-60800/69092 Loss: 153.270
-64000/69092 Loss: 150.172
-67200/69092 Loss: 152.478
-Training time 0:05:33.072789
-Epoch: 67 Average loss: 152.20
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 376)
-0/69092 Loss: 167.086
-3200/69092 Loss: 152.539
-6400/69092 Loss: 153.615
-9600/69092 Loss: 153.984
-12800/69092 Loss: 153.109
-16000/69092 Loss: 151.658
-19200/69092 Loss: 153.113
-22400/69092 Loss: 151.606
-25600/69092 Loss: 149.857
-28800/69092 Loss: 152.291
-32000/69092 Loss: 152.001
-35200/69092 Loss: 150.874
-38400/69092 Loss: 152.269
-41600/69092 Loss: 152.812
-44800/69092 Loss: 152.633
-48000/69092 Loss: 153.407
-51200/69092 Loss: 149.529
-54400/69092 Loss: 150.778
-57600/69092 Loss: 154.074
-60800/69092 Loss: 155.265
-64000/69092 Loss: 150.943
-67200/69092 Loss: 152.413
-Training time 0:04:59.252105
-Epoch: 68 Average loss: 152.32
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 377)
-0/69092 Loss: 142.886
-3200/69092 Loss: 150.915
-6400/69092 Loss: 151.632
-9600/69092 Loss: 152.223
-12800/69092 Loss: 150.318
-16000/69092 Loss: 151.817
-19200/69092 Loss: 152.761
-22400/69092 Loss: 152.089
-25600/69092 Loss: 154.266
-28800/69092 Loss: 150.921
-32000/69092 Loss: 151.730
-35200/69092 Loss: 153.607
-38400/69092 Loss: 153.081
-41600/69092 Loss: 150.853
-44800/69092 Loss: 152.767
-48000/69092 Loss: 152.460
-51200/69092 Loss: 150.523
-54400/69092 Loss: 151.378
-57600/69092 Loss: 153.249
-60800/69092 Loss: 152.830
-64000/69092 Loss: 151.944
-67200/69092 Loss: 152.016
-Training time 0:05:16.139701
-Epoch: 69 Average loss: 152.04
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 378)
-0/69092 Loss: 171.625
-3200/69092 Loss: 154.513
-6400/69092 Loss: 151.640
-9600/69092 Loss: 150.764
-12800/69092 Loss: 150.490
-16000/69092 Loss: 151.810
-19200/69092 Loss: 153.845
-22400/69092 Loss: 150.604
-25600/69092 Loss: 152.091
-28800/69092 Loss: 150.351
-32000/69092 Loss: 154.173
-35200/69092 Loss: 153.935
-38400/69092 Loss: 151.496
-41600/69092 Loss: 150.508
-44800/69092 Loss: 151.278
-48000/69092 Loss: 148.709
-51200/69092 Loss: 152.223
-54400/69092 Loss: 154.862
-57600/69092 Loss: 152.224
-60800/69092 Loss: 153.854
-64000/69092 Loss: 150.635
-67200/69092 Loss: 150.417
-Training time 0:05:20.814982
-Epoch: 70 Average loss: 152.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 379)
-0/69092 Loss: 159.456
-3200/69092 Loss: 151.843
-6400/69092 Loss: 152.962
-9600/69092 Loss: 153.162
-12800/69092 Loss: 152.416
-16000/69092 Loss: 152.438
-19200/69092 Loss: 154.884
-22400/69092 Loss: 152.882
-25600/69092 Loss: 152.923
-28800/69092 Loss: 151.315
-32000/69092 Loss: 153.602
-35200/69092 Loss: 151.506
-38400/69092 Loss: 153.189
-41600/69092 Loss: 151.808
-44800/69092 Loss: 149.524
-48000/69092 Loss: 152.428
-51200/69092 Loss: 151.998
-54400/69092 Loss: 151.662
-57600/69092 Loss: 149.739
-60800/69092 Loss: 152.809
-64000/69092 Loss: 154.365
-67200/69092 Loss: 150.230
-Training time 0:04:41.908707
-Epoch: 71 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 380)
-0/69092 Loss: 147.989
-3200/69092 Loss: 152.401
-6400/69092 Loss: 151.690
-9600/69092 Loss: 151.527
-12800/69092 Loss: 151.547
-16000/69092 Loss: 148.992
-19200/69092 Loss: 153.467
-22400/69092 Loss: 150.681
-25600/69092 Loss: 153.436
-28800/69092 Loss: 152.665
-32000/69092 Loss: 153.847
-35200/69092 Loss: 149.465
-38400/69092 Loss: 154.151
-41600/69092 Loss: 152.815
-44800/69092 Loss: 152.269
-48000/69092 Loss: 150.504
-51200/69092 Loss: 153.604
-54400/69092 Loss: 153.192
-57600/69092 Loss: 151.053
-60800/69092 Loss: 153.720
-64000/69092 Loss: 153.013
-67200/69092 Loss: 152.351
-Training time 0:04:49.550108
-Epoch: 72 Average loss: 152.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 381)
-0/69092 Loss: 155.271
-3200/69092 Loss: 153.494
-6400/69092 Loss: 152.078
-9600/69092 Loss: 149.940
-12800/69092 Loss: 150.048
-16000/69092 Loss: 150.825
-19200/69092 Loss: 150.739
-22400/69092 Loss: 152.702
-25600/69092 Loss: 155.752
-28800/69092 Loss: 154.054
-32000/69092 Loss: 151.410
-35200/69092 Loss: 154.361
-38400/69092 Loss: 150.217
-41600/69092 Loss: 153.970
-44800/69092 Loss: 151.603
-48000/69092 Loss: 150.173
-51200/69092 Loss: 151.283
-54400/69092 Loss: 150.320
-57600/69092 Loss: 154.031
-60800/69092 Loss: 151.250
-64000/69092 Loss: 152.557
-67200/69092 Loss: 152.158
-Training time 0:04:51.031669
-Epoch: 73 Average loss: 152.07
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 382)
-0/69092 Loss: 167.281
-3200/69092 Loss: 151.140
-6400/69092 Loss: 151.214
-9600/69092 Loss: 154.212
-12800/69092 Loss: 152.252
-16000/69092 Loss: 148.862
-19200/69092 Loss: 149.399
-22400/69092 Loss: 152.893
-25600/69092 Loss: 153.142
-28800/69092 Loss: 152.190
-32000/69092 Loss: 151.733
-35200/69092 Loss: 152.655
-38400/69092 Loss: 154.997
-41600/69092 Loss: 151.070
-44800/69092 Loss: 153.855
-48000/69092 Loss: 152.491
-51200/69092 Loss: 150.044
-54400/69092 Loss: 150.720
-57600/69092 Loss: 150.193
-60800/69092 Loss: 152.856
-64000/69092 Loss: 152.537
-67200/69092 Loss: 152.294
-Training time 0:04:55.081420
-Epoch: 74 Average loss: 152.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 383)
-0/69092 Loss: 154.157
-3200/69092 Loss: 154.255
-6400/69092 Loss: 153.611
-9600/69092 Loss: 151.472
-12800/69092 Loss: 153.355
-16000/69092 Loss: 150.815
-19200/69092 Loss: 153.617
-22400/69092 Loss: 153.628
-25600/69092 Loss: 150.988
-28800/69092 Loss: 151.479
-32000/69092 Loss: 152.324
-35200/69092 Loss: 153.211
-38400/69092 Loss: 150.005
-41600/69092 Loss: 148.870
-44800/69092 Loss: 154.888
-48000/69092 Loss: 152.478
-51200/69092 Loss: 152.040
-54400/69092 Loss: 151.494
-57600/69092 Loss: 151.065
-60800/69092 Loss: 153.344
-64000/69092 Loss: 153.279
-67200/69092 Loss: 154.722
-Training time 0:04:50.357753
-Epoch: 75 Average loss: 152.45
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 384)
-0/69092 Loss: 148.367
-3200/69092 Loss: 149.811
-6400/69092 Loss: 152.498
-9600/69092 Loss: 153.230
-12800/69092 Loss: 151.580
-16000/69092 Loss: 149.368
-19200/69092 Loss: 153.172
-22400/69092 Loss: 152.466
-25600/69092 Loss: 149.360
-28800/69092 Loss: 150.754
-32000/69092 Loss: 150.235
-35200/69092 Loss: 152.744
-38400/69092 Loss: 152.375
-41600/69092 Loss: 152.117
-44800/69092 Loss: 149.865
-48000/69092 Loss: 152.296
-51200/69092 Loss: 150.958
-54400/69092 Loss: 154.242
-57600/69092 Loss: 154.513
-60800/69092 Loss: 153.132
-64000/69092 Loss: 154.810
-67200/69092 Loss: 152.240
-Training time 0:04:56.023137
-Epoch: 76 Average loss: 152.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 385)
-0/69092 Loss: 159.299
-3200/69092 Loss: 151.701
-6400/69092 Loss: 154.116
-9600/69092 Loss: 153.099
-12800/69092 Loss: 153.676
-16000/69092 Loss: 152.018
-19200/69092 Loss: 152.899
-22400/69092 Loss: 152.236
-25600/69092 Loss: 154.659
-28800/69092 Loss: 150.001
-32000/69092 Loss: 151.848
-35200/69092 Loss: 153.828
-38400/69092 Loss: 149.875
-41600/69092 Loss: 154.095
-44800/69092 Loss: 152.501
-48000/69092 Loss: 150.692
-51200/69092 Loss: 151.368
-54400/69092 Loss: 152.377
-57600/69092 Loss: 154.053
-60800/69092 Loss: 150.230
-64000/69092 Loss: 151.682
-67200/69092 Loss: 150.104
-Training time 0:05:38.090144
-Epoch: 77 Average loss: 152.20
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 386)
-0/69092 Loss: 133.769
-3200/69092 Loss: 150.945
-6400/69092 Loss: 152.139
-9600/69092 Loss: 150.133
-12800/69092 Loss: 153.125
-16000/69092 Loss: 152.958
-19200/69092 Loss: 153.307
-22400/69092 Loss: 154.924
-25600/69092 Loss: 150.651
-28800/69092 Loss: 152.592
-32000/69092 Loss: 151.322
-35200/69092 Loss: 151.483
-38400/69092 Loss: 151.906
-41600/69092 Loss: 151.097
-44800/69092 Loss: 152.955
-48000/69092 Loss: 152.512
-51200/69092 Loss: 153.579
-54400/69092 Loss: 150.903
-57600/69092 Loss: 151.697
-60800/69092 Loss: 152.023
-64000/69092 Loss: 152.772
-67200/69092 Loss: 152.888
-Training time 0:04:55.780531
-Epoch: 78 Average loss: 152.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 387)
-0/69092 Loss: 177.367
-3200/69092 Loss: 153.016
-6400/69092 Loss: 154.626
-9600/69092 Loss: 152.591
-12800/69092 Loss: 152.371
-16000/69092 Loss: 150.365
-19200/69092 Loss: 151.905
-22400/69092 Loss: 152.857
-25600/69092 Loss: 151.943
-28800/69092 Loss: 153.557
-32000/69092 Loss: 153.086
-35200/69092 Loss: 150.043
-38400/69092 Loss: 152.453
-41600/69092 Loss: 149.896
-44800/69092 Loss: 149.321
-48000/69092 Loss: 153.453
-51200/69092 Loss: 153.388
-54400/69092 Loss: 151.923
-57600/69092 Loss: 150.125
-60800/69092 Loss: 153.940
-64000/69092 Loss: 151.747
-67200/69092 Loss: 151.802
-Training time 0:04:55.208007
-Epoch: 79 Average loss: 152.14
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 388)
-0/69092 Loss: 150.818
-3200/69092 Loss: 151.441
-6400/69092 Loss: 154.883
-9600/69092 Loss: 152.123
-12800/69092 Loss: 152.493
-16000/69092 Loss: 152.560
-19200/69092 Loss: 152.359
-22400/69092 Loss: 152.105
-25600/69092 Loss: 152.571
-28800/69092 Loss: 150.197
-32000/69092 Loss: 151.594
-35200/69092 Loss: 148.968
-38400/69092 Loss: 153.790
-41600/69092 Loss: 154.585
-44800/69092 Loss: 152.791
-48000/69092 Loss: 151.996
-51200/69092 Loss: 151.946
-54400/69092 Loss: 151.222
-57600/69092 Loss: 151.251
-60800/69092 Loss: 153.577
-64000/69092 Loss: 148.282
-67200/69092 Loss: 153.347
-Training time 0:04:59.494419
-Epoch: 80 Average loss: 152.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 389)
-0/69092 Loss: 160.390
-3200/69092 Loss: 152.723
-6400/69092 Loss: 154.673
-9600/69092 Loss: 152.125
-12800/69092 Loss: 149.842
-16000/69092 Loss: 150.631
-19200/69092 Loss: 154.081
-22400/69092 Loss: 153.013
-25600/69092 Loss: 154.062
-28800/69092 Loss: 153.230
-32000/69092 Loss: 151.247
-35200/69092 Loss: 151.991
-38400/69092 Loss: 148.997
-41600/69092 Loss: 153.138
-44800/69092 Loss: 152.746
-48000/69092 Loss: 152.123
-51200/69092 Loss: 153.045
-54400/69092 Loss: 153.534
-57600/69092 Loss: 149.361
-60800/69092 Loss: 149.920
-64000/69092 Loss: 150.953
-67200/69092 Loss: 151.708
-Training time 0:04:59.060240
-Epoch: 81 Average loss: 152.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 390)
-0/69092 Loss: 153.963
-3200/69092 Loss: 152.424
-6400/69092 Loss: 155.083
-9600/69092 Loss: 151.304
-12800/69092 Loss: 152.461
-16000/69092 Loss: 152.443
-19200/69092 Loss: 152.779
-22400/69092 Loss: 152.083
-25600/69092 Loss: 151.778
-28800/69092 Loss: 152.084
-32000/69092 Loss: 151.633
-35200/69092 Loss: 153.404
-38400/69092 Loss: 148.104
-41600/69092 Loss: 155.486
-44800/69092 Loss: 148.950
-48000/69092 Loss: 152.170
-51200/69092 Loss: 154.032
-54400/69092 Loss: 152.849
-57600/69092 Loss: 150.474
-60800/69092 Loss: 153.086
-64000/69092 Loss: 151.313
-67200/69092 Loss: 149.878
-Training time 0:04:57.080448
-Epoch: 82 Average loss: 151.97
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 391)
-0/69092 Loss: 154.336
-3200/69092 Loss: 151.494
-6400/69092 Loss: 152.967
-9600/69092 Loss: 149.309
-12800/69092 Loss: 151.182
-16000/69092 Loss: 150.112
-19200/69092 Loss: 153.050
-22400/69092 Loss: 150.839
-25600/69092 Loss: 153.711
-28800/69092 Loss: 151.765
-32000/69092 Loss: 151.727
-35200/69092 Loss: 152.602
-38400/69092 Loss: 154.348
-41600/69092 Loss: 152.824
-44800/69092 Loss: 150.893
-48000/69092 Loss: 150.305
-51200/69092 Loss: 152.051
-54400/69092 Loss: 153.804
-57600/69092 Loss: 154.280
-60800/69092 Loss: 152.271
-64000/69092 Loss: 152.635
-67200/69092 Loss: 149.864
-Training time 0:04:57.010780
-Epoch: 83 Average loss: 151.99
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 392)
-0/69092 Loss: 182.028
-3200/69092 Loss: 152.429
-6400/69092 Loss: 150.760
-9600/69092 Loss: 151.331
-12800/69092 Loss: 151.735
-16000/69092 Loss: 151.469
-19200/69092 Loss: 151.580
-22400/69092 Loss: 151.156
-25600/69092 Loss: 153.199
-28800/69092 Loss: 151.023
-32000/69092 Loss: 152.648
-35200/69092 Loss: 151.730
-38400/69092 Loss: 155.580
-41600/69092 Loss: 152.280
-44800/69092 Loss: 153.323
-48000/69092 Loss: 151.427
-51200/69092 Loss: 154.983
-54400/69092 Loss: 150.072
-57600/69092 Loss: 153.436
-60800/69092 Loss: 152.252
-64000/69092 Loss: 150.017
-67200/69092 Loss: 152.116
-Training time 0:04:45.735179
-Epoch: 84 Average loss: 152.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 393)
-0/69092 Loss: 154.702
-3200/69092 Loss: 152.774
-6400/69092 Loss: 152.440
-9600/69092 Loss: 154.457
-12800/69092 Loss: 154.161
-16000/69092 Loss: 150.860
-19200/69092 Loss: 151.098
-22400/69092 Loss: 150.214
-25600/69092 Loss: 148.884
-28800/69092 Loss: 149.376
-32000/69092 Loss: 151.280
-35200/69092 Loss: 153.219
-38400/69092 Loss: 150.948
-41600/69092 Loss: 155.880
-44800/69092 Loss: 151.803
-48000/69092 Loss: 152.655
-51200/69092 Loss: 153.246
-54400/69092 Loss: 151.673
-57600/69092 Loss: 153.024
-60800/69092 Loss: 153.541
-64000/69092 Loss: 153.738
-67200/69092 Loss: 151.754
-Training time 0:04:57.023906
-Epoch: 85 Average loss: 152.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 394)
-0/69092 Loss: 142.829
-3200/69092 Loss: 152.490
-6400/69092 Loss: 151.030
-9600/69092 Loss: 150.666
-12800/69092 Loss: 151.519
-16000/69092 Loss: 150.399
-19200/69092 Loss: 153.108
-22400/69092 Loss: 151.066
-25600/69092 Loss: 152.339
-28800/69092 Loss: 152.410
-32000/69092 Loss: 155.271
-35200/69092 Loss: 153.059
-38400/69092 Loss: 151.213
-41600/69092 Loss: 152.088
-44800/69092 Loss: 154.145
-48000/69092 Loss: 150.306
-51200/69092 Loss: 150.901
-54400/69092 Loss: 151.373
-57600/69092 Loss: 150.391
-60800/69092 Loss: 150.261
-64000/69092 Loss: 153.969
-67200/69092 Loss: 151.814
-Training time 0:04:55.390241
-Epoch: 86 Average loss: 151.91
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 395)
-0/69092 Loss: 149.056
-3200/69092 Loss: 149.947
-6400/69092 Loss: 154.324
-9600/69092 Loss: 153.580
-12800/69092 Loss: 152.930
-16000/69092 Loss: 152.680
-19200/69092 Loss: 153.038
-22400/69092 Loss: 151.125
-25600/69092 Loss: 151.951
-28800/69092 Loss: 152.586
-32000/69092 Loss: 152.570
-35200/69092 Loss: 149.354
-38400/69092 Loss: 148.427
-41600/69092 Loss: 151.235
-44800/69092 Loss: 152.589
-48000/69092 Loss: 152.086
-51200/69092 Loss: 150.932
-54400/69092 Loss: 153.294
-57600/69092 Loss: 152.074
-60800/69092 Loss: 151.371
-64000/69092 Loss: 152.852
-67200/69092 Loss: 152.169
-Training time 0:04:48.814648
-Epoch: 87 Average loss: 151.95
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 396)
-0/69092 Loss: 157.786
-3200/69092 Loss: 152.570
-6400/69092 Loss: 153.078
-9600/69092 Loss: 152.408
-12800/69092 Loss: 152.629
-16000/69092 Loss: 151.153
-19200/69092 Loss: 151.928
-22400/69092 Loss: 151.346
-25600/69092 Loss: 150.992
-28800/69092 Loss: 150.583
-32000/69092 Loss: 149.188
-35200/69092 Loss: 152.389
-38400/69092 Loss: 152.509
-41600/69092 Loss: 154.821
-44800/69092 Loss: 150.531
-48000/69092 Loss: 151.399
-51200/69092 Loss: 150.111
-54400/69092 Loss: 152.454
-57600/69092 Loss: 152.133
-60800/69092 Loss: 150.629
-64000/69092 Loss: 153.384
-67200/69092 Loss: 153.505
-Training time 0:04:54.803282
-Epoch: 88 Average loss: 151.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 397)
-0/69092 Loss: 171.129
-3200/69092 Loss: 151.790
-6400/69092 Loss: 153.028
-9600/69092 Loss: 152.004
-12800/69092 Loss: 151.282
-16000/69092 Loss: 150.597
-19200/69092 Loss: 153.276
-22400/69092 Loss: 150.037
-25600/69092 Loss: 151.375
-28800/69092 Loss: 152.042
-32000/69092 Loss: 151.800
-35200/69092 Loss: 152.210
-38400/69092 Loss: 152.840
-41600/69092 Loss: 151.627
-44800/69092 Loss: 151.665
-48000/69092 Loss: 151.353
-51200/69092 Loss: 152.797
-54400/69092 Loss: 151.047
-57600/69092 Loss: 151.778
-60800/69092 Loss: 153.219
-64000/69092 Loss: 153.312
-67200/69092 Loss: 151.992
-Training time 0:04:50.539237
-Epoch: 89 Average loss: 152.00
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 398)
-0/69092 Loss: 163.351
-3200/69092 Loss: 151.922
-6400/69092 Loss: 152.530
-9600/69092 Loss: 154.250
-12800/69092 Loss: 150.779
-16000/69092 Loss: 153.006
-19200/69092 Loss: 152.350
-22400/69092 Loss: 150.987
-25600/69092 Loss: 153.924
-28800/69092 Loss: 152.805
-32000/69092 Loss: 152.224
-35200/69092 Loss: 151.677
-38400/69092 Loss: 155.644
-41600/69092 Loss: 150.963
-44800/69092 Loss: 152.313
-48000/69092 Loss: 152.735
-51200/69092 Loss: 149.950
-54400/69092 Loss: 150.979
-57600/69092 Loss: 153.317
-60800/69092 Loss: 153.071
-64000/69092 Loss: 152.851
-67200/69092 Loss: 151.237
-Training time 0:04:49.878713
-Epoch: 90 Average loss: 152.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 399)
-0/69092 Loss: 163.554
-3200/69092 Loss: 151.718
-6400/69092 Loss: 153.950
-9600/69092 Loss: 151.830
-12800/69092 Loss: 152.770
-16000/69092 Loss: 153.396
-19200/69092 Loss: 149.883
-22400/69092 Loss: 150.290
-25600/69092 Loss: 149.773
-28800/69092 Loss: 152.480
-32000/69092 Loss: 151.067
-35200/69092 Loss: 156.999
-38400/69092 Loss: 152.950
-41600/69092 Loss: 152.975
-44800/69092 Loss: 153.519
-48000/69092 Loss: 152.611
-51200/69092 Loss: 152.230
-54400/69092 Loss: 151.480
-57600/69092 Loss: 150.186
-60800/69092 Loss: 150.945
-64000/69092 Loss: 149.248
-67200/69092 Loss: 151.699
-Training time 0:04:47.200851
-Epoch: 91 Average loss: 152.01
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 400)
-0/69092 Loss: 150.296
-3200/69092 Loss: 149.735
-6400/69092 Loss: 153.625
-9600/69092 Loss: 150.936
-12800/69092 Loss: 152.938
-16000/69092 Loss: 150.642
-19200/69092 Loss: 153.460
-22400/69092 Loss: 152.283
-25600/69092 Loss: 153.096
-28800/69092 Loss: 152.937
-32000/69092 Loss: 151.133
-35200/69092 Loss: 154.050
-38400/69092 Loss: 152.118
-41600/69092 Loss: 152.096
-44800/69092 Loss: 151.038
-48000/69092 Loss: 149.925
-51200/69092 Loss: 151.219
-54400/69092 Loss: 152.395
-57600/69092 Loss: 153.124
-60800/69092 Loss: 151.859
-64000/69092 Loss: 151.257
-67200/69092 Loss: 149.621
-Training time 0:04:52.972326
-Epoch: 92 Average loss: 151.90
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 401)
-0/69092 Loss: 160.210
-3200/69092 Loss: 150.249
-6400/69092 Loss: 151.565
-9600/69092 Loss: 149.957
-12800/69092 Loss: 151.506
-16000/69092 Loss: 152.402
-19200/69092 Loss: 152.908
-22400/69092 Loss: 149.944
-25600/69092 Loss: 153.508
-28800/69092 Loss: 150.672
-32000/69092 Loss: 155.991
-35200/69092 Loss: 151.940
-38400/69092 Loss: 149.855
-41600/69092 Loss: 152.922
-44800/69092 Loss: 151.392
-48000/69092 Loss: 154.734
-51200/69092 Loss: 150.691
-54400/69092 Loss: 151.314
-57600/69092 Loss: 152.757
-60800/69092 Loss: 151.927
-64000/69092 Loss: 153.325
-67200/69092 Loss: 149.930
-Training time 0:04:55.110473
-Epoch: 93 Average loss: 151.98
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 402)
-0/69092 Loss: 141.758
-3200/69092 Loss: 148.836
-6400/69092 Loss: 153.720
-9600/69092 Loss: 151.733
-12800/69092 Loss: 150.266
-16000/69092 Loss: 153.532
-19200/69092 Loss: 151.682
-22400/69092 Loss: 152.700
-25600/69092 Loss: 151.377
-28800/69092 Loss: 151.040
-32000/69092 Loss: 148.090
-35200/69092 Loss: 153.011
-38400/69092 Loss: 152.989
-41600/69092 Loss: 153.283
-44800/69092 Loss: 155.993
-48000/69092 Loss: 152.637
-51200/69092 Loss: 152.229
-54400/69092 Loss: 151.351
-57600/69092 Loss: 154.748
-60800/69092 Loss: 151.491
-64000/69092 Loss: 151.453
-67200/69092 Loss: 152.492
-Training time 0:04:49.920553
-Epoch: 94 Average loss: 152.14
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 403)
-0/69092 Loss: 160.858
-3200/69092 Loss: 151.767
-6400/69092 Loss: 149.789
-9600/69092 Loss: 152.571
-12800/69092 Loss: 150.421
-16000/69092 Loss: 151.720
-19200/69092 Loss: 150.676
-22400/69092 Loss: 150.497
-25600/69092 Loss: 151.545
-28800/69092 Loss: 152.169
-32000/69092 Loss: 152.427
-35200/69092 Loss: 153.442
-38400/69092 Loss: 149.878
-41600/69092 Loss: 152.922
-44800/69092 Loss: 151.869
-48000/69092 Loss: 151.706
-51200/69092 Loss: 154.346
-54400/69092 Loss: 153.269
-57600/69092 Loss: 151.879
-60800/69092 Loss: 152.733
-64000/69092 Loss: 154.100
-67200/69092 Loss: 153.658
-Training time 0:04:46.535271
-Epoch: 95 Average loss: 152.00
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 404)
-0/69092 Loss: 151.968
-3200/69092 Loss: 153.705
-6400/69092 Loss: 152.080
-9600/69092 Loss: 152.701
-12800/69092 Loss: 151.054
-16000/69092 Loss: 152.064
-19200/69092 Loss: 152.099
-22400/69092 Loss: 152.200
-25600/69092 Loss: 152.526
-28800/69092 Loss: 151.792
-32000/69092 Loss: 150.670
-35200/69092 Loss: 155.599
-38400/69092 Loss: 148.762
-41600/69092 Loss: 151.034
-44800/69092 Loss: 153.194
-48000/69092 Loss: 154.365
-51200/69092 Loss: 151.639
-54400/69092 Loss: 152.496
-57600/69092 Loss: 151.936
-60800/69092 Loss: 152.478
-64000/69092 Loss: 150.782
-67200/69092 Loss: 153.092
-Training time 0:04:45.636976
-Epoch: 96 Average loss: 152.17
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 405)
-0/69092 Loss: 146.729
-3200/69092 Loss: 149.252
-6400/69092 Loss: 148.245
-9600/69092 Loss: 149.307
-12800/69092 Loss: 153.481
-16000/69092 Loss: 151.573
-19200/69092 Loss: 152.993
-22400/69092 Loss: 151.453
-25600/69092 Loss: 154.485
-28800/69092 Loss: 149.507
-32000/69092 Loss: 153.101
-35200/69092 Loss: 153.367
-38400/69092 Loss: 153.710
-41600/69092 Loss: 154.064
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-48000/69092 Loss: 152.065
-51200/69092 Loss: 153.477
-54400/69092 Loss: 151.558
-57600/69092 Loss: 152.573
-60800/69092 Loss: 151.899
-64000/69092 Loss: 153.708
-67200/69092 Loss: 154.891
-Training time 0:04:59.854441
-Epoch: 97 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 406)
-0/69092 Loss: 137.998
-3200/69092 Loss: 151.489
-6400/69092 Loss: 151.412
-9600/69092 Loss: 150.391
-12800/69092 Loss: 151.562
-16000/69092 Loss: 152.893
-19200/69092 Loss: 152.713
-22400/69092 Loss: 150.260
-25600/69092 Loss: 151.633
-28800/69092 Loss: 151.326
-32000/69092 Loss: 154.725
-35200/69092 Loss: 150.661
-38400/69092 Loss: 152.762
-41600/69092 Loss: 151.188
-44800/69092 Loss: 152.194
-48000/69092 Loss: 152.163
-51200/69092 Loss: 150.429
-54400/69092 Loss: 153.507
-57600/69092 Loss: 154.009
-60800/69092 Loss: 153.067
-64000/69092 Loss: 154.646
-67200/69092 Loss: 151.797
-Training time 0:04:46.845983
-Epoch: 98 Average loss: 152.13
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 407)
-0/69092 Loss: 169.630
-3200/69092 Loss: 151.264
-6400/69092 Loss: 153.226
-9600/69092 Loss: 151.168
-12800/69092 Loss: 154.012
-16000/69092 Loss: 152.439
-19200/69092 Loss: 151.221
-22400/69092 Loss: 150.469
-25600/69092 Loss: 151.142
-28800/69092 Loss: 153.160
-32000/69092 Loss: 153.687
-35200/69092 Loss: 151.872
-38400/69092 Loss: 151.593
-41600/69092 Loss: 152.981
-44800/69092 Loss: 151.639
-48000/69092 Loss: 152.625
-51200/69092 Loss: 152.690
-54400/69092 Loss: 149.891
-57600/69092 Loss: 149.604
-60800/69092 Loss: 152.135
-64000/69092 Loss: 152.302
-67200/69092 Loss: 150.975
-Training time 0:04:57.776910
-Epoch: 99 Average loss: 151.94
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 408)
-0/69092 Loss: 157.478
-3200/69092 Loss: 148.961
-6400/69092 Loss: 154.174
-9600/69092 Loss: 149.814
-12800/69092 Loss: 149.233
-16000/69092 Loss: 151.266
-19200/69092 Loss: 149.778
-22400/69092 Loss: 155.607
-25600/69092 Loss: 150.476
-28800/69092 Loss: 152.955
-32000/69092 Loss: 151.325
-35200/69092 Loss: 152.565
-38400/69092 Loss: 155.373
-41600/69092 Loss: 150.391
-44800/69092 Loss: 151.788
-48000/69092 Loss: 152.091
-51200/69092 Loss: 151.354
-54400/69092 Loss: 152.939
-57600/69092 Loss: 154.037
-60800/69092 Loss: 152.035
-64000/69092 Loss: 152.074
-67200/69092 Loss: 153.509
-Training time 0:04:53.823615
-Epoch: 100 Average loss: 152.03
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 409)
-0/69092 Loss: 169.415
-3200/69092 Loss: 153.103
-6400/69092 Loss: 151.163
-9600/69092 Loss: 153.687
-12800/69092 Loss: 152.283
-16000/69092 Loss: 150.388
-19200/69092 Loss: 152.896
-22400/69092 Loss: 153.909
-25600/69092 Loss: 151.392
-28800/69092 Loss: 151.566
-32000/69092 Loss: 152.565
-35200/69092 Loss: 150.287
-38400/69092 Loss: 151.676
-41600/69092 Loss: 152.150
-44800/69092 Loss: 150.827
-48000/69092 Loss: 150.386
-51200/69092 Loss: 150.106
-54400/69092 Loss: 152.285
-57600/69092 Loss: 150.452
-60800/69092 Loss: 151.801
-64000/69092 Loss: 153.773
-67200/69092 Loss: 155.499
-Training time 0:04:48.562618
-Epoch: 101 Average loss: 152.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 410)
-0/69092 Loss: 158.078
-3200/69092 Loss: 147.879
-6400/69092 Loss: 151.176
-9600/69092 Loss: 150.107
-12800/69092 Loss: 154.523
-16000/69092 Loss: 149.720
-19200/69092 Loss: 153.969
-22400/69092 Loss: 152.776
-25600/69092 Loss: 152.456
-28800/69092 Loss: 150.317
-32000/69092 Loss: 154.425
-35200/69092 Loss: 152.331
-38400/69092 Loss: 151.896
-41600/69092 Loss: 153.088
-44800/69092 Loss: 152.307
-48000/69092 Loss: 152.278
-51200/69092 Loss: 154.122
-54400/69092 Loss: 151.100
-57600/69092 Loss: 150.320
-60800/69092 Loss: 150.146
-64000/69092 Loss: 154.554
-67200/69092 Loss: 150.885
-Training time 0:04:47.864876
-Epoch: 102 Average loss: 151.93
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 411)
-0/69092 Loss: 161.600
-3200/69092 Loss: 150.294
-6400/69092 Loss: 152.689
-9600/69092 Loss: 152.596
-12800/69092 Loss: 150.389
-16000/69092 Loss: 153.032
-19200/69092 Loss: 153.226
-22400/69092 Loss: 154.488
-25600/69092 Loss: 149.508
-28800/69092 Loss: 152.821
-32000/69092 Loss: 153.566
-35200/69092 Loss: 152.721
-38400/69092 Loss: 153.682
-41600/69092 Loss: 152.280
-44800/69092 Loss: 151.708
-48000/69092 Loss: 152.183
-51200/69092 Loss: 152.264
-54400/69092 Loss: 152.192
-57600/69092 Loss: 150.605
-60800/69092 Loss: 152.570
-64000/69092 Loss: 153.640
-67200/69092 Loss: 150.774
-Training time 0:04:46.565216
-Epoch: 103 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 412)
-0/69092 Loss: 142.357
-3200/69092 Loss: 153.350
-6400/69092 Loss: 152.448
-9600/69092 Loss: 150.219
-12800/69092 Loss: 153.586
-16000/69092 Loss: 153.335
-19200/69092 Loss: 151.796
-22400/69092 Loss: 151.756
-25600/69092 Loss: 151.087
-28800/69092 Loss: 153.957
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-35200/69092 Loss: 151.751
-38400/69092 Loss: 150.219
-41600/69092 Loss: 153.643
-44800/69092 Loss: 151.641
-48000/69092 Loss: 151.229
-51200/69092 Loss: 152.683
-54400/69092 Loss: 150.299
-57600/69092 Loss: 151.652
-60800/69092 Loss: 152.452
-64000/69092 Loss: 152.588
-67200/69092 Loss: 155.900
-Training time 0:04:53.206867
-Epoch: 104 Average loss: 152.18
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 413)
-0/69092 Loss: 147.985
-3200/69092 Loss: 150.459
-6400/69092 Loss: 151.480
-9600/69092 Loss: 151.722
-12800/69092 Loss: 152.108
-16000/69092 Loss: 150.949
-19200/69092 Loss: 155.608
-22400/69092 Loss: 151.986
-25600/69092 Loss: 152.775
-28800/69092 Loss: 150.901
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-35200/69092 Loss: 154.703
-38400/69092 Loss: 151.604
-41600/69092 Loss: 151.956
-44800/69092 Loss: 150.413
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-51200/69092 Loss: 153.686
-54400/69092 Loss: 151.706
-57600/69092 Loss: 152.662
-60800/69092 Loss: 152.065
-64000/69092 Loss: 151.596
-67200/69092 Loss: 152.116
-Training time 0:04:58.640244
-Epoch: 105 Average loss: 152.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 414)
-0/69092 Loss: 149.987
-3200/69092 Loss: 149.893
-6400/69092 Loss: 152.323
-9600/69092 Loss: 152.562
-12800/69092 Loss: 151.810
-16000/69092 Loss: 152.911
-19200/69092 Loss: 153.191
-22400/69092 Loss: 150.899
-25600/69092 Loss: 153.012
-28800/69092 Loss: 153.163
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-35200/69092 Loss: 152.882
-38400/69092 Loss: 150.813
-41600/69092 Loss: 152.901
-44800/69092 Loss: 152.755
-48000/69092 Loss: 150.881
-51200/69092 Loss: 151.376
-54400/69092 Loss: 152.687
-57600/69092 Loss: 153.730
-60800/69092 Loss: 150.189
-64000/69092 Loss: 151.934
-67200/69092 Loss: 151.211
-Training time 0:04:48.120273
-Epoch: 106 Average loss: 152.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 415)
-0/69092 Loss: 151.823
-3200/69092 Loss: 148.643
-6400/69092 Loss: 152.817
-9600/69092 Loss: 151.382
-12800/69092 Loss: 153.022
-16000/69092 Loss: 150.716
-19200/69092 Loss: 153.632
-22400/69092 Loss: 151.172
-25600/69092 Loss: 148.932
-28800/69092 Loss: 151.189
-32000/69092 Loss: 151.965
-35200/69092 Loss: 151.846
-38400/69092 Loss: 149.539
-41600/69092 Loss: 152.411
-44800/69092 Loss: 153.926
-48000/69092 Loss: 153.859
-51200/69092 Loss: 150.885
-54400/69092 Loss: 153.050
-57600/69092 Loss: 153.645
-60800/69092 Loss: 150.253
-64000/69092 Loss: 152.771
-67200/69092 Loss: 150.985
-Training time 0:04:48.540351
-Epoch: 107 Average loss: 151.80
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 416)
-0/69092 Loss: 131.866
-3200/69092 Loss: 149.503
-6400/69092 Loss: 152.488
-9600/69092 Loss: 152.815
-12800/69092 Loss: 151.525
-16000/69092 Loss: 151.414
-19200/69092 Loss: 153.750
-22400/69092 Loss: 152.786
-25600/69092 Loss: 152.018
-28800/69092 Loss: 153.919
-32000/69092 Loss: 152.371
-35200/69092 Loss: 153.434
-38400/69092 Loss: 151.454
-41600/69092 Loss: 152.944
-44800/69092 Loss: 151.085
-48000/69092 Loss: 153.937
-51200/69092 Loss: 151.860
-54400/69092 Loss: 150.493
-57600/69092 Loss: 148.695
-60800/69092 Loss: 154.028
-64000/69092 Loss: 152.080
-67200/69092 Loss: 154.185
-Training time 0:04:55.298100
-Epoch: 108 Average loss: 152.13
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 417)
-0/69092 Loss: 147.412
-3200/69092 Loss: 151.994
-6400/69092 Loss: 153.347
-9600/69092 Loss: 150.016
-12800/69092 Loss: 152.968
-16000/69092 Loss: 150.501
-19200/69092 Loss: 152.418
-22400/69092 Loss: 151.831
-25600/69092 Loss: 152.847
-28800/69092 Loss: 150.512
-32000/69092 Loss: 149.003
-35200/69092 Loss: 149.976
-38400/69092 Loss: 154.265
-41600/69092 Loss: 148.565
-44800/69092 Loss: 150.216
-48000/69092 Loss: 152.008
-51200/69092 Loss: 153.583
-54400/69092 Loss: 153.803
-57600/69092 Loss: 152.243
-60800/69092 Loss: 152.050
-64000/69092 Loss: 154.021
-67200/69092 Loss: 152.084
-Training time 0:04:41.255307
-Epoch: 109 Average loss: 151.89
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 418)
-0/69092 Loss: 162.086
-3200/69092 Loss: 152.745
-6400/69092 Loss: 152.261
-9600/69092 Loss: 150.936
-12800/69092 Loss: 153.044
-16000/69092 Loss: 151.620
-19200/69092 Loss: 150.673
-22400/69092 Loss: 151.599
-25600/69092 Loss: 153.168
-28800/69092 Loss: 152.770
-32000/69092 Loss: 153.143
-35200/69092 Loss: 152.202
-38400/69092 Loss: 153.055
-41600/69092 Loss: 151.643
-44800/69092 Loss: 150.894
-48000/69092 Loss: 150.257
-51200/69092 Loss: 152.914
-54400/69092 Loss: 152.266
-57600/69092 Loss: 150.819
-60800/69092 Loss: 151.397
-64000/69092 Loss: 152.063
-67200/69092 Loss: 152.324
-Training time 0:04:47.438624
-Epoch: 110 Average loss: 152.09
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 419)
-0/69092 Loss: 160.629
-3200/69092 Loss: 152.910
-6400/69092 Loss: 152.561
-9600/69092 Loss: 152.619
-12800/69092 Loss: 151.571
-16000/69092 Loss: 153.697
-19200/69092 Loss: 152.958
-22400/69092 Loss: 152.440
-25600/69092 Loss: 151.144
-28800/69092 Loss: 150.991
-32000/69092 Loss: 151.666
-35200/69092 Loss: 152.099
-38400/69092 Loss: 150.653
-41600/69092 Loss: 152.933
-44800/69092 Loss: 152.994
-48000/69092 Loss: 151.900
-51200/69092 Loss: 150.365
-54400/69092 Loss: 152.757
-57600/69092 Loss: 152.901
-60800/69092 Loss: 150.266
-64000/69092 Loss: 151.742
-67200/69092 Loss: 153.295
-Training time 0:04:51.982336
-Epoch: 111 Average loss: 152.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 420)
-0/69092 Loss: 157.400
-3200/69092 Loss: 149.721
-6400/69092 Loss: 154.515
-9600/69092 Loss: 151.512
-12800/69092 Loss: 154.721
-16000/69092 Loss: 150.363
-19200/69092 Loss: 151.800
-22400/69092 Loss: 152.965
-25600/69092 Loss: 151.072
-28800/69092 Loss: 152.065
-32000/69092 Loss: 151.845
-35200/69092 Loss: 150.387
-38400/69092 Loss: 150.705
-41600/69092 Loss: 151.653
-44800/69092 Loss: 154.105
-48000/69092 Loss: 149.193
-51200/69092 Loss: 150.544
-54400/69092 Loss: 150.828
-57600/69092 Loss: 154.232
-60800/69092 Loss: 152.992
-64000/69092 Loss: 151.455
-67200/69092 Loss: 151.612
-Training time 0:04:54.074097
-Epoch: 112 Average loss: 151.84
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 421)
-0/69092 Loss: 157.065
-3200/69092 Loss: 150.346
-6400/69092 Loss: 151.884
-9600/69092 Loss: 152.009
-12800/69092 Loss: 149.326
-16000/69092 Loss: 148.875
-19200/69092 Loss: 152.735
-22400/69092 Loss: 152.689
-25600/69092 Loss: 153.586
-28800/69092 Loss: 152.923
-32000/69092 Loss: 150.834
-35200/69092 Loss: 152.571
-38400/69092 Loss: 153.652
-41600/69092 Loss: 152.052
-44800/69092 Loss: 150.601
-48000/69092 Loss: 152.516
-51200/69092 Loss: 150.682
-54400/69092 Loss: 153.087
-57600/69092 Loss: 152.169
-60800/69092 Loss: 153.943
-64000/69092 Loss: 153.933
-67200/69092 Loss: 153.847
-Training time 0:04:45.471707
-Epoch: 113 Average loss: 152.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 422)
-0/69092 Loss: 166.283
-3200/69092 Loss: 152.282
-6400/69092 Loss: 152.711
-9600/69092 Loss: 154.190
-12800/69092 Loss: 148.430
-16000/69092 Loss: 154.423
-19200/69092 Loss: 154.683
-22400/69092 Loss: 150.249
-25600/69092 Loss: 151.769
-28800/69092 Loss: 151.643
-32000/69092 Loss: 150.683
-35200/69092 Loss: 152.734
-38400/69092 Loss: 152.737
-41600/69092 Loss: 150.408
-44800/69092 Loss: 153.608
-48000/69092 Loss: 149.757
-51200/69092 Loss: 150.082
-54400/69092 Loss: 151.735
-57600/69092 Loss: 152.117
-60800/69092 Loss: 152.901
-64000/69092 Loss: 150.976
-67200/69092 Loss: 152.441
-Training time 0:04:50.508285
-Epoch: 114 Average loss: 151.98
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 423)
-0/69092 Loss: 156.983
-3200/69092 Loss: 153.281
-6400/69092 Loss: 148.878
-9600/69092 Loss: 152.051
-12800/69092 Loss: 152.789
-16000/69092 Loss: 150.928
-19200/69092 Loss: 150.311
-22400/69092 Loss: 149.966
-25600/69092 Loss: 153.276
-28800/69092 Loss: 151.430
-32000/69092 Loss: 155.032
-35200/69092 Loss: 152.147
-38400/69092 Loss: 152.673
-41600/69092 Loss: 154.257
-44800/69092 Loss: 152.049
-48000/69092 Loss: 150.658
-51200/69092 Loss: 149.756
-54400/69092 Loss: 153.817
-57600/69092 Loss: 151.338
-60800/69092 Loss: 153.225
-64000/69092 Loss: 153.599
-67200/69092 Loss: 152.351
-Training time 0:04:54.961885
-Epoch: 115 Average loss: 152.01
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 424)
-0/69092 Loss: 132.478
-3200/69092 Loss: 149.838
-6400/69092 Loss: 152.855
-9600/69092 Loss: 152.989
-12800/69092 Loss: 153.865
-16000/69092 Loss: 150.047
-19200/69092 Loss: 151.295
-22400/69092 Loss: 151.470
-25600/69092 Loss: 150.768
-28800/69092 Loss: 151.075
-32000/69092 Loss: 150.120
-35200/69092 Loss: 156.213
-38400/69092 Loss: 152.625
-41600/69092 Loss: 152.245
-44800/69092 Loss: 153.139
-48000/69092 Loss: 151.104
-51200/69092 Loss: 151.805
-54400/69092 Loss: 153.466
-57600/69092 Loss: 149.804
-60800/69092 Loss: 154.504
-64000/69092 Loss: 148.703
-67200/69092 Loss: 153.108
-Training time 0:04:47.408569
-Epoch: 116 Average loss: 151.94
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 425)
-0/69092 Loss: 161.084
-3200/69092 Loss: 149.878
-6400/69092 Loss: 154.645
-9600/69092 Loss: 152.513
-12800/69092 Loss: 154.098
-16000/69092 Loss: 151.261
-19200/69092 Loss: 153.206
-22400/69092 Loss: 151.152
-25600/69092 Loss: 150.373
-28800/69092 Loss: 151.378
-32000/69092 Loss: 150.651
-35200/69092 Loss: 153.225
-38400/69092 Loss: 154.637
-41600/69092 Loss: 152.478
-44800/69092 Loss: 151.924
-48000/69092 Loss: 151.923
-51200/69092 Loss: 151.490
-54400/69092 Loss: 151.390
-57600/69092 Loss: 151.142
-60800/69092 Loss: 150.049
-64000/69092 Loss: 152.262
-67200/69092 Loss: 154.271
-Training time 0:04:42.203575
-Epoch: 117 Average loss: 152.11
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 426)
-0/69092 Loss: 167.484
-3200/69092 Loss: 151.594
-6400/69092 Loss: 151.849
-9600/69092 Loss: 151.773
-12800/69092 Loss: 154.473
-16000/69092 Loss: 153.150
-19200/69092 Loss: 151.681
-22400/69092 Loss: 151.531
-25600/69092 Loss: 151.840
-28800/69092 Loss: 152.144
-32000/69092 Loss: 155.200
-35200/69092 Loss: 152.617
-38400/69092 Loss: 152.047
-41600/69092 Loss: 150.749
-44800/69092 Loss: 152.802
-48000/69092 Loss: 153.691
-51200/69092 Loss: 151.513
-54400/69092 Loss: 149.877
-57600/69092 Loss: 149.372
-60800/69092 Loss: 151.032
-64000/69092 Loss: 147.679
-67200/69092 Loss: 153.573
-Training time 0:04:54.279119
-Epoch: 118 Average loss: 151.86
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 427)
-0/69092 Loss: 133.374
-3200/69092 Loss: 153.390
-6400/69092 Loss: 153.883
-9600/69092 Loss: 150.555
-12800/69092 Loss: 151.884
-16000/69092 Loss: 152.527
-19200/69092 Loss: 154.051
-22400/69092 Loss: 150.880
-25600/69092 Loss: 152.859
-28800/69092 Loss: 151.407
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-35200/69092 Loss: 151.008
-38400/69092 Loss: 152.450
-41600/69092 Loss: 151.903
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-48000/69092 Loss: 153.607
-51200/69092 Loss: 149.811
-54400/69092 Loss: 149.198
-57600/69092 Loss: 154.233
-60800/69092 Loss: 151.883
-64000/69092 Loss: 154.476
-67200/69092 Loss: 148.915
-Training time 0:04:42.952877
-Epoch: 119 Average loss: 152.01
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 428)
-0/69092 Loss: 130.876
-3200/69092 Loss: 153.569
-6400/69092 Loss: 149.717
-9600/69092 Loss: 152.734
-12800/69092 Loss: 150.330
-16000/69092 Loss: 152.841
-19200/69092 Loss: 153.176
-22400/69092 Loss: 152.644
-25600/69092 Loss: 153.954
-28800/69092 Loss: 149.216
-32000/69092 Loss: 154.519
-35200/69092 Loss: 151.584
-38400/69092 Loss: 150.392
-41600/69092 Loss: 149.239
-44800/69092 Loss: 152.308
-48000/69092 Loss: 152.019
-51200/69092 Loss: 150.558
-54400/69092 Loss: 153.810
-57600/69092 Loss: 151.494
-60800/69092 Loss: 154.102
-64000/69092 Loss: 151.360
-67200/69092 Loss: 150.479
-Training time 0:04:46.836761
-Epoch: 120 Average loss: 151.86
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 429)
-0/69092 Loss: 142.914
-3200/69092 Loss: 151.008
-6400/69092 Loss: 150.469
-9600/69092 Loss: 152.556
-12800/69092 Loss: 151.596
-16000/69092 Loss: 151.404
-19200/69092 Loss: 152.845
-22400/69092 Loss: 153.279
-25600/69092 Loss: 149.563
-28800/69092 Loss: 149.553
-32000/69092 Loss: 151.925
-35200/69092 Loss: 152.067
-38400/69092 Loss: 151.782
-41600/69092 Loss: 152.750
-44800/69092 Loss: 152.136
-48000/69092 Loss: 152.894
-51200/69092 Loss: 152.172
-54400/69092 Loss: 151.977
-57600/69092 Loss: 149.534
-60800/69092 Loss: 152.757
-64000/69092 Loss: 151.173
-67200/69092 Loss: 154.301
-Training time 0:04:35.789460
-Epoch: 121 Average loss: 151.88
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64/checkpoints/last' (iter 430)
-0/69092 Loss: 150.952
-3200/69092 Loss: 152.128
-6400/69092 Loss: 152.453
-9600/69092 Loss: 151.920
-12800/69092 Loss: 153.240
-16000/69092 Loss: 153.071
-19200/69092 Loss: 151.953
-22400/69092 Loss: 147.788
-25600/69092 Loss: 150.992
-28800/69092 Loss: 153.508
-32000/69092 Loss: 151.623
-35200/69092 Loss: 154.380
-38400/69092 Loss: 150.654
-41600/69092 Loss: 153.483
-44800/69092 Loss: 154.157
-48000/69092 Loss: 150.010
-51200/69092 Loss: 155.253
-54400/69092 Loss: 152.480
diff --git a/OAR.2068286.stderr b/OAR.2068286.stderr
deleted file mode 100644
index 8656ad55ec..0000000000
--- a/OAR.2068286.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 02:59:26] Job 2068286 KILLED ##
diff --git a/OAR.2068286.stdout b/OAR.2068286.stdout
deleted file mode 100644
index 1a2cfa4114..0000000000
--- a/OAR.2068286.stdout
+++ /dev/null
@@ -1,1509 +0,0 @@
-Namespace(batch_size=256, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_256', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=True, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last (iter 144)'
-0/69092 Loss: 120.459
-12800/69092 Loss: 116.572
-25600/69092 Loss: 116.237
-38400/69092 Loss: 115.864
-51200/69092 Loss: 116.059
-64000/69092 Loss: 117.337
-Training time 0:03:42.281008
-Epoch: 1 Average loss: 116.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 145)
-0/69092 Loss: 120.358
-12800/69092 Loss: 116.899
-25600/69092 Loss: 115.721
-38400/69092 Loss: 116.798
-51200/69092 Loss: 116.771
-64000/69092 Loss: 116.356
-Training time 0:03:40.681431
-Epoch: 2 Average loss: 116.47
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 146)
-0/69092 Loss: 119.181
-12800/69092 Loss: 115.598
-25600/69092 Loss: 117.185
-38400/69092 Loss: 116.847
-51200/69092 Loss: 116.143
-64000/69092 Loss: 117.005
-Training time 0:03:40.721636
-Epoch: 3 Average loss: 116.55
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 147)
-0/69092 Loss: 115.099
-12800/69092 Loss: 116.701
-25600/69092 Loss: 116.450
-38400/69092 Loss: 116.328
-51200/69092 Loss: 115.482
-64000/69092 Loss: 116.387
-Training time 0:03:40.701471
-Epoch: 4 Average loss: 116.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 148)
-0/69092 Loss: 119.770
-12800/69092 Loss: 115.991
-25600/69092 Loss: 116.217
-38400/69092 Loss: 116.309
-51200/69092 Loss: 116.911
-64000/69092 Loss: 116.120
-Training time 0:03:39.979969
-Epoch: 5 Average loss: 116.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 149)
-0/69092 Loss: 118.151
-12800/69092 Loss: 115.808
-25600/69092 Loss: 116.703
-38400/69092 Loss: 116.090
-51200/69092 Loss: 116.427
-64000/69092 Loss: 117.572
-Training time 0:03:40.579498
-Epoch: 6 Average loss: 116.51
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 150)
-0/69092 Loss: 113.875
-12800/69092 Loss: 116.600
-25600/69092 Loss: 116.295
-38400/69092 Loss: 115.668
-51200/69092 Loss: 116.840
-64000/69092 Loss: 115.933
-Training time 0:03:41.221395
-Epoch: 7 Average loss: 116.36
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 151)
-0/69092 Loss: 114.324
-12800/69092 Loss: 116.549
-25600/69092 Loss: 115.837
-38400/69092 Loss: 116.300
-51200/69092 Loss: 116.452
-64000/69092 Loss: 116.383
-Training time 0:03:42.000145
-Epoch: 8 Average loss: 116.26
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 152)
-0/69092 Loss: 112.656
-12800/69092 Loss: 116.205
-25600/69092 Loss: 116.463
-38400/69092 Loss: 116.948
-51200/69092 Loss: 116.328
-64000/69092 Loss: 115.736
-Training time 0:03:39.929666
-Epoch: 9 Average loss: 116.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 153)
-0/69092 Loss: 121.883
-12800/69092 Loss: 116.664
-25600/69092 Loss: 115.788
-38400/69092 Loss: 116.076
-51200/69092 Loss: 116.190
-64000/69092 Loss: 116.272
-Training time 0:03:40.616174
-Epoch: 10 Average loss: 116.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 154)
-0/69092 Loss: 115.453
-12800/69092 Loss: 116.273
-25600/69092 Loss: 115.309
-38400/69092 Loss: 117.375
-51200/69092 Loss: 116.806
-64000/69092 Loss: 116.037
-Training time 0:03:40.447946
-Epoch: 11 Average loss: 116.18
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 155)
-0/69092 Loss: 119.812
-12800/69092 Loss: 116.018
-25600/69092 Loss: 116.276
-38400/69092 Loss: 115.628
-51200/69092 Loss: 115.753
-64000/69092 Loss: 116.374
-Training time 0:03:40.825373
-Epoch: 12 Average loss: 116.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 156)
-0/69092 Loss: 112.388
-12800/69092 Loss: 115.852
-25600/69092 Loss: 116.388
-38400/69092 Loss: 116.094
-51200/69092 Loss: 116.621
-64000/69092 Loss: 115.358
-Training time 0:03:40.482848
-Epoch: 13 Average loss: 116.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 157)
-0/69092 Loss: 117.393
-12800/69092 Loss: 116.509
-25600/69092 Loss: 115.161
-38400/69092 Loss: 116.172
-51200/69092 Loss: 116.397
-64000/69092 Loss: 116.203
-Training time 0:03:40.998442
-Epoch: 14 Average loss: 116.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 158)
-0/69092 Loss: 119.346
-12800/69092 Loss: 116.319
-25600/69092 Loss: 115.947
-38400/69092 Loss: 116.468
-51200/69092 Loss: 116.241
-64000/69092 Loss: 116.013
-Training time 0:03:42.395751
-Epoch: 15 Average loss: 116.17
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 159)
-0/69092 Loss: 113.202
-12800/69092 Loss: 116.460
-25600/69092 Loss: 115.730
-38400/69092 Loss: 115.797
-51200/69092 Loss: 116.281
-64000/69092 Loss: 115.448
-Training time 0:03:41.078200
-Epoch: 16 Average loss: 116.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 160)
-0/69092 Loss: 112.005
-12800/69092 Loss: 115.957
-25600/69092 Loss: 116.704
-38400/69092 Loss: 116.893
-51200/69092 Loss: 115.449
-64000/69092 Loss: 115.642
-Training time 0:03:40.431808
-Epoch: 17 Average loss: 116.13
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 161)
-0/69092 Loss: 113.287
-12800/69092 Loss: 116.447
-25600/69092 Loss: 115.693
-38400/69092 Loss: 116.821
-51200/69092 Loss: 116.644
-64000/69092 Loss: 115.405
-Training time 0:03:40.430938
-Epoch: 18 Average loss: 116.02
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 162)
-0/69092 Loss: 112.196
-12800/69092 Loss: 117.175
-25600/69092 Loss: 115.399
-38400/69092 Loss: 115.678
-51200/69092 Loss: 115.329
-64000/69092 Loss: 116.300
-Training time 0:03:40.572838
-Epoch: 19 Average loss: 116.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 163)
-0/69092 Loss: 117.480
-12800/69092 Loss: 117.243
-25600/69092 Loss: 115.588
-38400/69092 Loss: 115.861
-51200/69092 Loss: 115.026
-64000/69092 Loss: 115.228
-Training time 0:03:40.556184
-Epoch: 20 Average loss: 115.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 164)
-0/69092 Loss: 118.064
-12800/69092 Loss: 115.452
-25600/69092 Loss: 116.303
-38400/69092 Loss: 115.384
-51200/69092 Loss: 115.665
-64000/69092 Loss: 116.274
-Training time 0:03:40.790851
-Epoch: 21 Average loss: 115.88
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 165)
-0/69092 Loss: 112.775
-12800/69092 Loss: 116.776
-25600/69092 Loss: 116.287
-38400/69092 Loss: 115.689
-51200/69092 Loss: 115.688
-64000/69092 Loss: 115.419
-Training time 0:03:41.559039
-Epoch: 22 Average loss: 115.92
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 166)
-0/69092 Loss: 118.464
-12800/69092 Loss: 114.966
-25600/69092 Loss: 115.504
-38400/69092 Loss: 116.800
-51200/69092 Loss: 114.923
-64000/69092 Loss: 116.779
-Training time 0:03:40.445243
-Epoch: 23 Average loss: 115.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 167)
-0/69092 Loss: 117.857
-12800/69092 Loss: 116.386
-25600/69092 Loss: 115.667
-38400/69092 Loss: 114.653
-51200/69092 Loss: 116.496
-64000/69092 Loss: 115.861
-Training time 0:03:40.728070
-Epoch: 24 Average loss: 115.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 168)
-0/69092 Loss: 118.362
-12800/69092 Loss: 116.060
-25600/69092 Loss: 115.154
-38400/69092 Loss: 116.675
-51200/69092 Loss: 115.458
-64000/69092 Loss: 115.521
-Training time 0:03:41.048771
-Epoch: 25 Average loss: 115.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 169)
-0/69092 Loss: 119.678
-12800/69092 Loss: 115.659
-25600/69092 Loss: 115.170
-38400/69092 Loss: 116.955
-51200/69092 Loss: 116.197
-64000/69092 Loss: 115.340
-Training time 0:03:40.247926
-Epoch: 26 Average loss: 115.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 170)
-0/69092 Loss: 112.441
-12800/69092 Loss: 115.019
-25600/69092 Loss: 115.888
-38400/69092 Loss: 116.372
-51200/69092 Loss: 116.046
-64000/69092 Loss: 115.798
-Training time 0:03:40.481684
-Epoch: 27 Average loss: 115.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 171)
-0/69092 Loss: 118.454
-12800/69092 Loss: 115.568
-25600/69092 Loss: 116.489
-38400/69092 Loss: 115.309
-51200/69092 Loss: 115.959
-64000/69092 Loss: 115.868
-Training time 0:03:40.730148
-Epoch: 28 Average loss: 115.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 172)
-0/69092 Loss: 118.467
-12800/69092 Loss: 115.553
-25600/69092 Loss: 115.273
-38400/69092 Loss: 115.216
-51200/69092 Loss: 116.678
-64000/69092 Loss: 116.455
-Training time 0:03:41.245003
-Epoch: 29 Average loss: 115.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 173)
-0/69092 Loss: 114.006
-12800/69092 Loss: 115.621
-25600/69092 Loss: 116.126
-38400/69092 Loss: 115.985
-51200/69092 Loss: 113.654
-64000/69092 Loss: 116.662
-Training time 0:03:40.563781
-Epoch: 30 Average loss: 115.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 174)
-0/69092 Loss: 114.707
-12800/69092 Loss: 115.550
-25600/69092 Loss: 115.860
-38400/69092 Loss: 115.116
-51200/69092 Loss: 116.279
-64000/69092 Loss: 115.989
-Training time 0:03:40.619515
-Epoch: 31 Average loss: 115.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 175)
-0/69092 Loss: 116.031
-12800/69092 Loss: 115.936
-25600/69092 Loss: 116.239
-38400/69092 Loss: 114.555
-51200/69092 Loss: 115.844
-64000/69092 Loss: 116.013
-Training time 0:03:40.575515
-Epoch: 32 Average loss: 115.80
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 176)
-0/69092 Loss: 111.837
-12800/69092 Loss: 116.479
-25600/69092 Loss: 115.491
-38400/69092 Loss: 115.912
-51200/69092 Loss: 114.634
-64000/69092 Loss: 115.763
-Training time 0:03:40.491551
-Epoch: 33 Average loss: 115.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 177)
-0/69092 Loss: 117.520
-12800/69092 Loss: 116.071
-25600/69092 Loss: 116.613
-38400/69092 Loss: 114.784
-51200/69092 Loss: 115.905
-64000/69092 Loss: 115.579
-Training time 0:03:41.179735
-Epoch: 34 Average loss: 115.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 178)
-0/69092 Loss: 123.567
-12800/69092 Loss: 116.828
-25600/69092 Loss: 115.420
-38400/69092 Loss: 115.197
-51200/69092 Loss: 115.964
-64000/69092 Loss: 115.175
-Training time 0:03:40.153394
-Epoch: 35 Average loss: 115.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 179)
-0/69092 Loss: 116.028
-12800/69092 Loss: 115.196
-25600/69092 Loss: 115.596
-38400/69092 Loss: 115.706
-51200/69092 Loss: 116.102
-64000/69092 Loss: 115.148
-Training time 0:03:41.520109
-Epoch: 36 Average loss: 115.56
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 180)
-0/69092 Loss: 114.294
-12800/69092 Loss: 115.208
-25600/69092 Loss: 116.025
-38400/69092 Loss: 116.365
-51200/69092 Loss: 115.723
-64000/69092 Loss: 115.075
-Training time 0:03:41.725098
-Epoch: 37 Average loss: 115.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 181)
-0/69092 Loss: 108.952
-12800/69092 Loss: 115.211
-25600/69092 Loss: 115.684
-38400/69092 Loss: 114.832
-51200/69092 Loss: 116.676
-64000/69092 Loss: 115.385
-Training time 0:03:40.430924
-Epoch: 38 Average loss: 115.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 182)
-0/69092 Loss: 115.457
-12800/69092 Loss: 115.327
-25600/69092 Loss: 115.543
-38400/69092 Loss: 115.617
-51200/69092 Loss: 115.977
-64000/69092 Loss: 115.014
-Training time 0:03:41.206588
-Epoch: 39 Average loss: 115.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 183)
-0/69092 Loss: 116.693
-12800/69092 Loss: 114.557
-25600/69092 Loss: 115.086
-38400/69092 Loss: 115.546
-51200/69092 Loss: 116.112
-64000/69092 Loss: 114.996
-Training time 0:03:40.908944
-Epoch: 40 Average loss: 115.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 184)
-0/69092 Loss: 112.386
-12800/69092 Loss: 115.443
-25600/69092 Loss: 115.660
-38400/69092 Loss: 115.033
-51200/69092 Loss: 115.429
-64000/69092 Loss: 115.723
-Training time 0:03:40.941674
-Epoch: 41 Average loss: 115.53
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 185)
-0/69092 Loss: 116.749
-12800/69092 Loss: 115.176
-25600/69092 Loss: 116.024
-38400/69092 Loss: 115.643
-51200/69092 Loss: 115.313
-64000/69092 Loss: 115.243
-Training time 0:03:41.117220
-Epoch: 42 Average loss: 115.55
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 186)
-0/69092 Loss: 121.403
-12800/69092 Loss: 115.205
-25600/69092 Loss: 115.911
-38400/69092 Loss: 115.502
-51200/69092 Loss: 115.076
-64000/69092 Loss: 115.854
-Training time 0:03:41.143228
-Epoch: 43 Average loss: 115.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 187)
-0/69092 Loss: 112.070
-12800/69092 Loss: 115.371
-25600/69092 Loss: 115.118
-38400/69092 Loss: 115.911
-51200/69092 Loss: 114.989
-64000/69092 Loss: 115.609
-Training time 0:03:42.112486
-Epoch: 44 Average loss: 115.46
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 188)
-0/69092 Loss: 106.050
-12800/69092 Loss: 115.710
-25600/69092 Loss: 116.172
-38400/69092 Loss: 115.340
-51200/69092 Loss: 114.929
-64000/69092 Loss: 115.512
-Training time 0:03:40.727732
-Epoch: 45 Average loss: 115.51
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 189)
-0/69092 Loss: 117.641
-12800/69092 Loss: 114.826
-25600/69092 Loss: 115.081
-38400/69092 Loss: 115.612
-51200/69092 Loss: 115.316
-64000/69092 Loss: 115.945
-Training time 0:03:40.648978
-Epoch: 46 Average loss: 115.42
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 190)
-0/69092 Loss: 112.434
-12800/69092 Loss: 115.572
-25600/69092 Loss: 115.967
-38400/69092 Loss: 116.601
-51200/69092 Loss: 114.836
-64000/69092 Loss: 114.873
-Training time 0:03:40.988167
-Epoch: 47 Average loss: 115.47
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 191)
-0/69092 Loss: 115.484
-12800/69092 Loss: 114.976
-25600/69092 Loss: 114.461
-38400/69092 Loss: 116.200
-51200/69092 Loss: 115.965
-64000/69092 Loss: 115.243
-Training time 0:03:41.030348
-Epoch: 48 Average loss: 115.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 192)
-0/69092 Loss: 114.590
-12800/69092 Loss: 115.792
-25600/69092 Loss: 115.040
-38400/69092 Loss: 114.508
-51200/69092 Loss: 115.620
-64000/69092 Loss: 116.456
-Training time 0:03:40.662849
-Epoch: 49 Average loss: 115.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 193)
-0/69092 Loss: 122.536
-12800/69092 Loss: 115.258
-25600/69092 Loss: 115.104
-38400/69092 Loss: 115.037
-51200/69092 Loss: 116.723
-64000/69092 Loss: 114.876
-Training time 0:03:40.648263
-Epoch: 50 Average loss: 115.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 194)
-0/69092 Loss: 110.866
-12800/69092 Loss: 115.340
-25600/69092 Loss: 115.662
-38400/69092 Loss: 114.955
-51200/69092 Loss: 115.300
-64000/69092 Loss: 115.256
-Training time 0:03:41.139315
-Epoch: 51 Average loss: 115.37
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 195)
-0/69092 Loss: 117.302
-12800/69092 Loss: 115.389
-25600/69092 Loss: 114.703
-38400/69092 Loss: 115.806
-51200/69092 Loss: 115.654
-64000/69092 Loss: 115.386
-Training time 0:03:40.901612
-Epoch: 52 Average loss: 115.42
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 196)
-0/69092 Loss: 113.879
-12800/69092 Loss: 115.001
-25600/69092 Loss: 115.614
-38400/69092 Loss: 115.384
-51200/69092 Loss: 114.834
-64000/69092 Loss: 115.560
-Training time 0:03:40.568950
-Epoch: 53 Average loss: 115.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 197)
-0/69092 Loss: 122.464
-12800/69092 Loss: 114.625
-25600/69092 Loss: 116.063
-38400/69092 Loss: 114.064
-51200/69092 Loss: 114.791
-64000/69092 Loss: 116.462
-Training time 0:03:40.821567
-Epoch: 54 Average loss: 115.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 198)
-0/69092 Loss: 127.387
-12800/69092 Loss: 115.084
-25600/69092 Loss: 115.119
-38400/69092 Loss: 114.816
-51200/69092 Loss: 115.599
-64000/69092 Loss: 116.237
-Training time 0:03:41.123891
-Epoch: 55 Average loss: 115.42
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 199)
-0/69092 Loss: 113.509
-12800/69092 Loss: 115.800
-25600/69092 Loss: 114.487
-38400/69092 Loss: 114.952
-51200/69092 Loss: 115.551
-64000/69092 Loss: 116.056
-Training time 0:03:40.488129
-Epoch: 56 Average loss: 115.26
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 200)
-0/69092 Loss: 113.927
-12800/69092 Loss: 113.790
-25600/69092 Loss: 115.493
-38400/69092 Loss: 116.131
-51200/69092 Loss: 115.332
-64000/69092 Loss: 115.806
-Training time 0:03:40.772788
-Epoch: 57 Average loss: 115.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 201)
-0/69092 Loss: 111.797
-12800/69092 Loss: 114.642
-25600/69092 Loss: 116.307
-38400/69092 Loss: 114.750
-51200/69092 Loss: 114.781
-64000/69092 Loss: 116.396
-Training time 0:03:41.710917
-Epoch: 58 Average loss: 115.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 202)
-0/69092 Loss: 116.348
-12800/69092 Loss: 114.825
-25600/69092 Loss: 114.921
-38400/69092 Loss: 114.994
-51200/69092 Loss: 115.013
-64000/69092 Loss: 115.435
-Training time 0:03:40.356029
-Epoch: 59 Average loss: 115.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 203)
-0/69092 Loss: 111.710
-12800/69092 Loss: 115.723
-25600/69092 Loss: 115.646
-38400/69092 Loss: 115.310
-51200/69092 Loss: 114.750
-64000/69092 Loss: 114.651
-Training time 0:03:41.163611
-Epoch: 60 Average loss: 115.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 204)
-0/69092 Loss: 114.197
-12800/69092 Loss: 115.492
-25600/69092 Loss: 115.614
-38400/69092 Loss: 115.454
-51200/69092 Loss: 114.582
-64000/69092 Loss: 115.071
-Training time 0:03:40.874169
-Epoch: 61 Average loss: 115.20
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 205)
-0/69092 Loss: 118.631
-12800/69092 Loss: 115.554
-25600/69092 Loss: 115.449
-38400/69092 Loss: 115.311
-51200/69092 Loss: 115.563
-64000/69092 Loss: 115.179
-Training time 0:03:41.192234
-Epoch: 62 Average loss: 115.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 206)
-0/69092 Loss: 115.212
-12800/69092 Loss: 115.093
-25600/69092 Loss: 115.891
-38400/69092 Loss: 114.202
-51200/69092 Loss: 114.780
-64000/69092 Loss: 115.348
-Training time 0:03:37.915514
-Epoch: 63 Average loss: 115.03
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 207)
-0/69092 Loss: 119.185
-12800/69092 Loss: 115.877
-25600/69092 Loss: 115.202
-38400/69092 Loss: 114.906
-51200/69092 Loss: 115.212
-64000/69092 Loss: 114.694
-Training time 0:03:39.470830
-Epoch: 64 Average loss: 115.14
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 208)
-0/69092 Loss: 112.690
-12800/69092 Loss: 115.238
-25600/69092 Loss: 115.583
-38400/69092 Loss: 114.951
-51200/69092 Loss: 115.899
-64000/69092 Loss: 114.965
-Training time 0:03:40.621222
-Epoch: 65 Average loss: 115.26
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 209)
-0/69092 Loss: 111.283
-12800/69092 Loss: 115.453
-25600/69092 Loss: 115.282
-38400/69092 Loss: 115.247
-51200/69092 Loss: 115.254
-64000/69092 Loss: 114.364
-Training time 0:03:39.657240
-Epoch: 66 Average loss: 115.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 210)
-0/69092 Loss: 114.298
-12800/69092 Loss: 115.087
-25600/69092 Loss: 115.529
-38400/69092 Loss: 114.790
-51200/69092 Loss: 114.523
-64000/69092 Loss: 115.252
-Training time 0:03:39.587864
-Epoch: 67 Average loss: 115.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 211)
-0/69092 Loss: 119.244
-12800/69092 Loss: 114.677
-25600/69092 Loss: 115.632
-38400/69092 Loss: 115.939
-51200/69092 Loss: 113.807
-64000/69092 Loss: 114.473
-Training time 0:03:39.266111
-Epoch: 68 Average loss: 115.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 212)
-0/69092 Loss: 116.596
-12800/69092 Loss: 115.531
-25600/69092 Loss: 115.348
-38400/69092 Loss: 114.819
-51200/69092 Loss: 115.305
-64000/69092 Loss: 114.165
-Training time 0:03:39.576071
-Epoch: 69 Average loss: 115.03
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 213)
-0/69092 Loss: 111.364
-12800/69092 Loss: 115.789
-25600/69092 Loss: 115.457
-38400/69092 Loss: 114.520
-51200/69092 Loss: 114.835
-64000/69092 Loss: 114.175
-Training time 0:03:40.669528
-Epoch: 70 Average loss: 114.94
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 214)
-0/69092 Loss: 109.991
-12800/69092 Loss: 114.868
-25600/69092 Loss: 114.949
-38400/69092 Loss: 114.404
-51200/69092 Loss: 115.914
-64000/69092 Loss: 114.747
-Training time 0:03:39.913414
-Epoch: 71 Average loss: 115.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 215)
-0/69092 Loss: 115.842
-12800/69092 Loss: 114.590
-25600/69092 Loss: 115.731
-38400/69092 Loss: 114.622
-51200/69092 Loss: 115.623
-64000/69092 Loss: 114.875
-Training time 0:03:40.583036
-Epoch: 72 Average loss: 114.96
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 216)
-0/69092 Loss: 110.377
-12800/69092 Loss: 115.047
-25600/69092 Loss: 115.273
-38400/69092 Loss: 115.216
-51200/69092 Loss: 114.854
-64000/69092 Loss: 114.817
-Training time 0:03:40.331125
-Epoch: 73 Average loss: 115.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 217)
-0/69092 Loss: 106.582
-12800/69092 Loss: 115.858
-25600/69092 Loss: 114.577
-38400/69092 Loss: 115.438
-51200/69092 Loss: 114.821
-64000/69092 Loss: 114.224
-Training time 0:03:39.740569
-Epoch: 74 Average loss: 114.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 218)
-0/69092 Loss: 124.641
-12800/69092 Loss: 113.975
-25600/69092 Loss: 115.571
-38400/69092 Loss: 114.576
-51200/69092 Loss: 114.249
-64000/69092 Loss: 115.583
-Training time 0:03:39.557484
-Epoch: 75 Average loss: 114.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 219)
-0/69092 Loss: 115.628
-12800/69092 Loss: 114.197
-25600/69092 Loss: 114.989
-38400/69092 Loss: 115.503
-51200/69092 Loss: 114.342
-64000/69092 Loss: 114.788
-Training time 0:03:39.911937
-Epoch: 76 Average loss: 114.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 220)
-0/69092 Loss: 118.019
-12800/69092 Loss: 115.567
-25600/69092 Loss: 115.781
-38400/69092 Loss: 114.912
-51200/69092 Loss: 115.020
-64000/69092 Loss: 113.646
-Training time 0:03:39.957911
-Epoch: 77 Average loss: 114.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 221)
-0/69092 Loss: 109.805
-12800/69092 Loss: 114.832
-25600/69092 Loss: 114.996
-38400/69092 Loss: 114.294
-51200/69092 Loss: 114.873
-64000/69092 Loss: 114.860
-Training time 0:03:39.574652
-Epoch: 78 Average loss: 114.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 222)
-0/69092 Loss: 114.975
-12800/69092 Loss: 114.704
-25600/69092 Loss: 114.546
-38400/69092 Loss: 114.155
-51200/69092 Loss: 115.018
-64000/69092 Loss: 115.606
-Training time 0:03:40.653183
-Epoch: 79 Average loss: 114.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 223)
-0/69092 Loss: 118.612
-12800/69092 Loss: 115.064
-25600/69092 Loss: 113.899
-38400/69092 Loss: 114.684
-51200/69092 Loss: 115.660
-64000/69092 Loss: 114.569
-Training time 0:03:39.065048
-Epoch: 80 Average loss: 114.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 224)
-0/69092 Loss: 109.031
-12800/69092 Loss: 114.216
-25600/69092 Loss: 114.796
-38400/69092 Loss: 114.840
-51200/69092 Loss: 114.877
-64000/69092 Loss: 114.433
-Training time 0:03:39.553370
-Epoch: 81 Average loss: 114.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 225)
-0/69092 Loss: 111.758
-12800/69092 Loss: 115.345
-25600/69092 Loss: 114.349
-38400/69092 Loss: 114.239
-51200/69092 Loss: 115.207
-64000/69092 Loss: 115.440
-Training time 0:03:39.635807
-Epoch: 82 Average loss: 114.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 226)
-0/69092 Loss: 113.457
-12800/69092 Loss: 115.237
-25600/69092 Loss: 114.856
-38400/69092 Loss: 115.088
-51200/69092 Loss: 114.461
-64000/69092 Loss: 114.783
-Training time 0:03:39.479383
-Epoch: 83 Average loss: 114.88
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 227)
-0/69092 Loss: 118.418
-12800/69092 Loss: 115.666
-25600/69092 Loss: 114.994
-38400/69092 Loss: 114.782
-51200/69092 Loss: 114.864
-64000/69092 Loss: 113.881
-Training time 0:03:39.779647
-Epoch: 84 Average loss: 114.88
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 228)
-0/69092 Loss: 118.901
-12800/69092 Loss: 115.459
-25600/69092 Loss: 113.995
-38400/69092 Loss: 114.473
-51200/69092 Loss: 115.358
-64000/69092 Loss: 115.174
-Training time 0:03:39.825373
-Epoch: 85 Average loss: 114.89
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 229)
-0/69092 Loss: 116.887
-12800/69092 Loss: 115.089
-25600/69092 Loss: 114.870
-38400/69092 Loss: 114.173
-51200/69092 Loss: 114.921
-64000/69092 Loss: 114.568
-Training time 0:03:40.558272
-Epoch: 86 Average loss: 114.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 230)
-0/69092 Loss: 119.022
-12800/69092 Loss: 114.155
-25600/69092 Loss: 115.116
-38400/69092 Loss: 114.351
-51200/69092 Loss: 115.333
-64000/69092 Loss: 114.804
-Training time 0:03:39.110950
-Epoch: 87 Average loss: 114.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 231)
-0/69092 Loss: 114.052
-12800/69092 Loss: 114.419
-25600/69092 Loss: 115.095
-38400/69092 Loss: 114.998
-51200/69092 Loss: 113.998
-64000/69092 Loss: 114.826
-Training time 0:03:38.998349
-Epoch: 88 Average loss: 114.71
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 232)
-0/69092 Loss: 107.197
-12800/69092 Loss: 114.560
-25600/69092 Loss: 115.108
-38400/69092 Loss: 114.551
-51200/69092 Loss: 114.927
-64000/69092 Loss: 114.435
-Training time 0:03:42.260425
-Epoch: 89 Average loss: 114.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 233)
-0/69092 Loss: 107.413
-12800/69092 Loss: 114.444
-25600/69092 Loss: 114.685
-38400/69092 Loss: 114.867
-51200/69092 Loss: 115.129
-64000/69092 Loss: 113.986
-Training time 0:03:50.393656
-Epoch: 90 Average loss: 114.63
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 234)
-0/69092 Loss: 112.908
-12800/69092 Loss: 115.659
-25600/69092 Loss: 114.256
-38400/69092 Loss: 114.956
-51200/69092 Loss: 113.938
-64000/69092 Loss: 115.278
-Training time 0:03:41.978122
-Epoch: 91 Average loss: 114.77
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 235)
-0/69092 Loss: 113.401
-12800/69092 Loss: 114.613
-25600/69092 Loss: 115.830
-38400/69092 Loss: 114.113
-51200/69092 Loss: 114.794
-64000/69092 Loss: 114.232
-Training time 0:03:44.706303
-Epoch: 92 Average loss: 114.66
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 236)
-0/69092 Loss: 118.505
-12800/69092 Loss: 114.510
-25600/69092 Loss: 114.844
-38400/69092 Loss: 114.507
-51200/69092 Loss: 114.165
-64000/69092 Loss: 114.310
-Training time 0:03:42.290089
-Epoch: 93 Average loss: 114.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 237)
-0/69092 Loss: 111.298
-12800/69092 Loss: 115.110
-25600/69092 Loss: 114.177
-38400/69092 Loss: 114.547
-51200/69092 Loss: 114.346
-64000/69092 Loss: 114.125
-Training time 0:03:40.739105
-Epoch: 94 Average loss: 114.45
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 238)
-0/69092 Loss: 115.497
-12800/69092 Loss: 114.533
-25600/69092 Loss: 113.951
-38400/69092 Loss: 114.258
-51200/69092 Loss: 115.078
-64000/69092 Loss: 114.435
-Training time 0:03:40.520623
-Epoch: 95 Average loss: 114.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 239)
-0/69092 Loss: 120.449
-12800/69092 Loss: 114.306
-25600/69092 Loss: 114.458
-38400/69092 Loss: 113.983
-51200/69092 Loss: 114.979
-64000/69092 Loss: 115.746
-Training time 0:03:40.739195
-Epoch: 96 Average loss: 114.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 240)
-0/69092 Loss: 116.587
-12800/69092 Loss: 114.370
-25600/69092 Loss: 115.026
-38400/69092 Loss: 114.646
-51200/69092 Loss: 114.849
-64000/69092 Loss: 114.088
-Training time 0:03:40.295166
-Epoch: 97 Average loss: 114.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 241)
-0/69092 Loss: 113.646
-12800/69092 Loss: 114.517
-25600/69092 Loss: 114.350
-38400/69092 Loss: 114.589
-51200/69092 Loss: 114.638
-64000/69092 Loss: 114.851
-Training time 0:03:39.879273
-Epoch: 98 Average loss: 114.67
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 242)
-0/69092 Loss: 108.064
-12800/69092 Loss: 114.233
-25600/69092 Loss: 114.721
-38400/69092 Loss: 114.504
-51200/69092 Loss: 114.622
-64000/69092 Loss: 114.088
-Training time 0:03:46.401228
-Epoch: 99 Average loss: 114.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 243)
-0/69092 Loss: 112.234
-12800/69092 Loss: 115.063
-25600/69092 Loss: 114.201
-38400/69092 Loss: 115.500
-51200/69092 Loss: 114.187
-64000/69092 Loss: 113.749
-Training time 0:03:43.651188
-Epoch: 100 Average loss: 114.54
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 244)
-0/69092 Loss: 108.880
-12800/69092 Loss: 114.441
-25600/69092 Loss: 114.546
-38400/69092 Loss: 114.229
-51200/69092 Loss: 114.399
-64000/69092 Loss: 114.490
-Training time 0:03:41.775324
-Epoch: 101 Average loss: 114.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 245)
-0/69092 Loss: 116.923
-12800/69092 Loss: 114.301
-25600/69092 Loss: 114.859
-38400/69092 Loss: 114.571
-51200/69092 Loss: 114.437
-64000/69092 Loss: 114.160
-Training time 0:03:41.341339
-Epoch: 102 Average loss: 114.48
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 246)
-0/69092 Loss: 118.843
-12800/69092 Loss: 113.869
-25600/69092 Loss: 114.652
-38400/69092 Loss: 114.754
-51200/69092 Loss: 114.434
-64000/69092 Loss: 114.532
-Training time 0:03:40.704962
-Epoch: 103 Average loss: 114.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 247)
-0/69092 Loss: 108.865
-12800/69092 Loss: 114.752
-25600/69092 Loss: 114.883
-38400/69092 Loss: 113.607
-51200/69092 Loss: 114.288
-64000/69092 Loss: 114.525
-Training time 0:03:42.934816
-Epoch: 104 Average loss: 114.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 248)
-0/69092 Loss: 119.276
-12800/69092 Loss: 113.929
-25600/69092 Loss: 114.603
-38400/69092 Loss: 114.846
-51200/69092 Loss: 114.323
-64000/69092 Loss: 115.003
-Training time 0:03:41.347376
-Epoch: 105 Average loss: 114.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 249)
-0/69092 Loss: 117.378
-12800/69092 Loss: 114.512
-25600/69092 Loss: 114.029
-38400/69092 Loss: 113.996
-51200/69092 Loss: 114.640
-64000/69092 Loss: 114.273
-Training time 0:03:41.384372
-Epoch: 106 Average loss: 114.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 250)
-0/69092 Loss: 116.733
-12800/69092 Loss: 114.053
-25600/69092 Loss: 115.784
-38400/69092 Loss: 114.504
-51200/69092 Loss: 113.391
-64000/69092 Loss: 115.021
-Training time 0:03:43.748070
-Epoch: 107 Average loss: 114.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 251)
-0/69092 Loss: 109.071
-12800/69092 Loss: 115.350
-25600/69092 Loss: 114.421
-38400/69092 Loss: 113.817
-51200/69092 Loss: 114.571
-64000/69092 Loss: 113.952
-Training time 0:03:42.178234
-Epoch: 108 Average loss: 114.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 252)
-0/69092 Loss: 110.194
-12800/69092 Loss: 113.623
-25600/69092 Loss: 114.909
-38400/69092 Loss: 114.726
-51200/69092 Loss: 114.983
-64000/69092 Loss: 114.253
-Training time 0:03:42.143474
-Epoch: 109 Average loss: 114.45
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 253)
-0/69092 Loss: 112.906
-12800/69092 Loss: 113.083
-25600/69092 Loss: 114.752
-38400/69092 Loss: 114.171
-51200/69092 Loss: 114.487
-64000/69092 Loss: 114.980
-Training time 0:03:41.290923
-Epoch: 110 Average loss: 114.27
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 254)
-0/69092 Loss: 124.385
-12800/69092 Loss: 113.826
-25600/69092 Loss: 114.997
-38400/69092 Loss: 114.641
-51200/69092 Loss: 114.734
-64000/69092 Loss: 113.799
-Training time 0:03:41.705886
-Epoch: 111 Average loss: 114.40
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 255)
-0/69092 Loss: 111.269
-12800/69092 Loss: 113.420
-25600/69092 Loss: 115.922
-38400/69092 Loss: 113.670
-51200/69092 Loss: 113.914
-64000/69092 Loss: 114.474
-Training time 0:03:40.924247
-Epoch: 112 Average loss: 114.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 256)
-0/69092 Loss: 115.978
-12800/69092 Loss: 115.311
-25600/69092 Loss: 114.722
-38400/69092 Loss: 113.684
-51200/69092 Loss: 113.768
-64000/69092 Loss: 113.957
-Training time 0:03:40.834863
-Epoch: 113 Average loss: 114.26
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 257)
-0/69092 Loss: 109.364
-12800/69092 Loss: 114.242
-25600/69092 Loss: 114.552
-38400/69092 Loss: 114.000
-51200/69092 Loss: 114.802
-64000/69092 Loss: 113.713
-Training time 0:03:43.156358
-Epoch: 114 Average loss: 114.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 258)
-0/69092 Loss: 111.265
-12800/69092 Loss: 114.377
-25600/69092 Loss: 114.272
-38400/69092 Loss: 113.863
-51200/69092 Loss: 114.741
-64000/69092 Loss: 114.591
-Training time 0:03:41.998148
-Epoch: 115 Average loss: 114.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 259)
-0/69092 Loss: 117.682
-12800/69092 Loss: 115.080
-25600/69092 Loss: 113.807
-38400/69092 Loss: 113.662
-51200/69092 Loss: 115.175
-64000/69092 Loss: 114.527
-Training time 0:03:42.627598
-Epoch: 116 Average loss: 114.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 260)
-0/69092 Loss: 113.881
-12800/69092 Loss: 114.402
-25600/69092 Loss: 114.172
-38400/69092 Loss: 114.510
-51200/69092 Loss: 114.053
-64000/69092 Loss: 114.174
-Training time 0:03:42.035927
-Epoch: 117 Average loss: 114.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 261)
-0/69092 Loss: 113.673
-12800/69092 Loss: 114.281
-25600/69092 Loss: 114.134
-38400/69092 Loss: 114.204
-51200/69092 Loss: 114.304
-64000/69092 Loss: 114.797
-Training time 0:03:41.551131
-Epoch: 118 Average loss: 114.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 262)
-0/69092 Loss: 111.412
-12800/69092 Loss: 113.519
-25600/69092 Loss: 114.681
-38400/69092 Loss: 114.317
-51200/69092 Loss: 113.760
-64000/69092 Loss: 113.961
-Training time 0:03:44.184585
-Epoch: 119 Average loss: 114.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 263)
-0/69092 Loss: 111.933
-12800/69092 Loss: 114.447
-25600/69092 Loss: 113.720
-38400/69092 Loss: 113.964
-51200/69092 Loss: 113.929
-64000/69092 Loss: 114.812
-Training time 0:03:42.196323
-Epoch: 120 Average loss: 114.26
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 264)
-0/69092 Loss: 113.074
-12800/69092 Loss: 114.431
-25600/69092 Loss: 113.384
-38400/69092 Loss: 115.006
-51200/69092 Loss: 114.743
-64000/69092 Loss: 113.431
-Training time 0:03:42.197650
-Epoch: 121 Average loss: 114.17
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 265)
-0/69092 Loss: 115.437
-12800/69092 Loss: 114.323
-25600/69092 Loss: 113.790
-38400/69092 Loss: 114.352
-51200/69092 Loss: 114.947
-64000/69092 Loss: 114.044
-Training time 0:03:41.562076
-Epoch: 122 Average loss: 114.27
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 266)
-0/69092 Loss: 113.162
-12800/69092 Loss: 113.852
-25600/69092 Loss: 113.980
-38400/69092 Loss: 114.593
-51200/69092 Loss: 113.447
-64000/69092 Loss: 115.204
-Training time 0:03:40.874992
-Epoch: 123 Average loss: 114.20
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 267)
-0/69092 Loss: 116.120
-12800/69092 Loss: 114.274
-25600/69092 Loss: 114.634
-38400/69092 Loss: 114.158
-51200/69092 Loss: 114.676
-64000/69092 Loss: 112.900
-Training time 0:03:41.653124
-Epoch: 124 Average loss: 114.17
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 268)
-0/69092 Loss: 117.180
-12800/69092 Loss: 113.294
-25600/69092 Loss: 114.609
-38400/69092 Loss: 114.933
-51200/69092 Loss: 114.103
-64000/69092 Loss: 113.871
-Training time 0:03:41.242283
-Epoch: 125 Average loss: 114.11
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 269)
-0/69092 Loss: 109.756
-12800/69092 Loss: 114.033
-25600/69092 Loss: 114.634
-38400/69092 Loss: 114.371
-51200/69092 Loss: 114.184
-64000/69092 Loss: 113.549
-Training time 0:03:42.196836
-Epoch: 126 Average loss: 114.14
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 270)
-0/69092 Loss: 111.929
-12800/69092 Loss: 114.828
-25600/69092 Loss: 113.790
-38400/69092 Loss: 114.042
-51200/69092 Loss: 114.953
-64000/69092 Loss: 113.364
-Training time 0:03:41.900956
-Epoch: 127 Average loss: 114.20
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 271)
-0/69092 Loss: 110.864
-12800/69092 Loss: 114.467
-25600/69092 Loss: 114.406
-38400/69092 Loss: 113.131
-51200/69092 Loss: 114.844
-64000/69092 Loss: 114.251
-Training time 0:03:43.068656
-Epoch: 128 Average loss: 114.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 272)
-0/69092 Loss: 112.706
-12800/69092 Loss: 113.940
-25600/69092 Loss: 113.914
-38400/69092 Loss: 115.086
-51200/69092 Loss: 113.297
-64000/69092 Loss: 114.017
-Training time 0:03:42.137844
-Epoch: 129 Average loss: 114.08
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 273)
-0/69092 Loss: 114.385
-12800/69092 Loss: 113.581
-25600/69092 Loss: 113.566
-38400/69092 Loss: 114.429
-51200/69092 Loss: 114.653
-64000/69092 Loss: 113.894
-Training time 0:03:41.510301
-Epoch: 130 Average loss: 114.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 274)
-0/69092 Loss: 110.028
-12800/69092 Loss: 113.881
-25600/69092 Loss: 114.392
-38400/69092 Loss: 113.452
-51200/69092 Loss: 114.865
-64000/69092 Loss: 114.058
-Training time 0:03:41.511612
-Epoch: 131 Average loss: 114.13
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 275)
-0/69092 Loss: 110.665
-12800/69092 Loss: 114.053
-25600/69092 Loss: 114.680
-38400/69092 Loss: 113.985
-51200/69092 Loss: 113.684
-64000/69092 Loss: 114.159
-Training time 0:03:41.726226
-Epoch: 132 Average loss: 114.13
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 276)
-0/69092 Loss: 118.540
-12800/69092 Loss: 113.363
-25600/69092 Loss: 113.460
-38400/69092 Loss: 114.502
-51200/69092 Loss: 113.836
-64000/69092 Loss: 114.899
-Training time 0:03:41.569514
-Epoch: 133 Average loss: 114.02
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 277)
-0/69092 Loss: 117.445
-12800/69092 Loss: 114.008
-25600/69092 Loss: 114.618
-38400/69092 Loss: 114.031
-51200/69092 Loss: 113.772
-64000/69092 Loss: 113.839
-Training time 0:03:41.186443
-Epoch: 134 Average loss: 114.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 278)
-0/69092 Loss: 113.595
-12800/69092 Loss: 113.980
-25600/69092 Loss: 113.805
-38400/69092 Loss: 114.087
-51200/69092 Loss: 113.955
-64000/69092 Loss: 113.742
-Training time 0:03:42.152164
-Epoch: 135 Average loss: 113.96
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 279)
-0/69092 Loss: 112.821
-12800/69092 Loss: 114.496
-25600/69092 Loss: 113.962
-38400/69092 Loss: 114.649
-51200/69092 Loss: 113.409
-64000/69092 Loss: 113.551
-Training time 0:03:41.361916
-Epoch: 136 Average loss: 114.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 280)
-0/69092 Loss: 115.241
-12800/69092 Loss: 113.896
-25600/69092 Loss: 114.136
-38400/69092 Loss: 112.995
-51200/69092 Loss: 113.532
-64000/69092 Loss: 114.980
-Training time 0:03:40.680527
-Epoch: 137 Average loss: 113.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 281)
-0/69092 Loss: 117.064
-12800/69092 Loss: 113.764
-25600/69092 Loss: 114.953
-38400/69092 Loss: 113.620
-51200/69092 Loss: 113.511
-64000/69092 Loss: 114.963
-Training time 0:03:41.352191
-Epoch: 138 Average loss: 114.08
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 282)
-0/69092 Loss: 108.923
-12800/69092 Loss: 114.116
-25600/69092 Loss: 114.152
-38400/69092 Loss: 113.833
-51200/69092 Loss: 114.022
-64000/69092 Loss: 113.697
-Training time 0:03:40.793996
-Epoch: 139 Average loss: 113.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 283)
-0/69092 Loss: 115.468
-12800/69092 Loss: 114.883
-25600/69092 Loss: 113.313
-38400/69092 Loss: 114.564
-51200/69092 Loss: 114.127
-64000/69092 Loss: 113.590
-Training time 0:03:41.558375
-Epoch: 140 Average loss: 114.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 284)
-0/69092 Loss: 111.618
-12800/69092 Loss: 114.210
-25600/69092 Loss: 113.877
-38400/69092 Loss: 113.493
-51200/69092 Loss: 113.761
-64000/69092 Loss: 113.488
-Training time 0:03:40.687252
-Epoch: 141 Average loss: 113.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 285)
-0/69092 Loss: 115.856
-12800/69092 Loss: 113.995
-25600/69092 Loss: 113.398
-38400/69092 Loss: 114.115
-51200/69092 Loss: 115.273
-64000/69092 Loss: 113.940
-Training time 0:03:41.465886
-Epoch: 142 Average loss: 114.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 286)
-0/69092 Loss: 109.752
-12800/69092 Loss: 114.166
-25600/69092 Loss: 113.758
-38400/69092 Loss: 114.394
-51200/69092 Loss: 113.661
-64000/69092 Loss: 114.022
-Training time 0:03:40.046346
-Epoch: 143 Average loss: 113.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 287)
-0/69092 Loss: 113.853
-12800/69092 Loss: 114.157
-25600/69092 Loss: 113.092
-38400/69092 Loss: 113.822
-51200/69092 Loss: 113.737
-64000/69092 Loss: 113.995
-Training time 0:03:40.139976
-Epoch: 144 Average loss: 113.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 288)
-0/69092 Loss: 113.345
-12800/69092 Loss: 113.668
-25600/69092 Loss: 113.303
-38400/69092 Loss: 113.832
-51200/69092 Loss: 113.686
-64000/69092 Loss: 114.217
-Training time 0:03:40.291585
-Epoch: 145 Average loss: 113.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 289)
-0/69092 Loss: 110.422
-12800/69092 Loss: 113.919
-25600/69092 Loss: 114.204
-38400/69092 Loss: 114.164
-51200/69092 Loss: 113.983
-64000/69092 Loss: 113.053
-Training time 0:03:40.165304
-Epoch: 146 Average loss: 113.88
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 290)
-0/69092 Loss: 111.442
-12800/69092 Loss: 113.895
-25600/69092 Loss: 113.671
-38400/69092 Loss: 113.587
-51200/69092 Loss: 113.714
-64000/69092 Loss: 113.411
-Training time 0:03:40.558246
-Epoch: 147 Average loss: 113.74
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 291)
-0/69092 Loss: 114.554
-12800/69092 Loss: 113.458
-25600/69092 Loss: 113.886
-38400/69092 Loss: 114.594
-51200/69092 Loss: 113.528
-64000/69092 Loss: 113.846
-Training time 0:03:40.836498
-Epoch: 148 Average loss: 113.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 292)
-0/69092 Loss: 115.352
-12800/69092 Loss: 114.107
-25600/69092 Loss: 114.243
-38400/69092 Loss: 113.824
-51200/69092 Loss: 113.277
-64000/69092 Loss: 113.832
-Training time 0:03:41.716480
-Epoch: 149 Average loss: 113.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 293)
-0/69092 Loss: 110.963
-12800/69092 Loss: 113.638
-25600/69092 Loss: 113.369
-38400/69092 Loss: 114.120
-51200/69092 Loss: 113.222
-64000/69092 Loss: 114.146
-Training time 0:03:40.436857
-Epoch: 150 Average loss: 113.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 294)
-0/69092 Loss: 107.337
-12800/69092 Loss: 114.409
-25600/69092 Loss: 113.354
-38400/69092 Loss: 113.109
-51200/69092 Loss: 115.007
-64000/69092 Loss: 113.664
-Training time 0:03:40.938804
-Epoch: 151 Average loss: 113.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 295)
-0/69092 Loss: 109.025
-12800/69092 Loss: 114.129
-25600/69092 Loss: 113.999
-38400/69092 Loss: 112.536
-51200/69092 Loss: 114.157
-64000/69092 Loss: 113.699
-Training time 0:03:40.882615
-Epoch: 152 Average loss: 113.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 296)
-0/69092 Loss: 113.340
-12800/69092 Loss: 114.084
-25600/69092 Loss: 113.610
-38400/69092 Loss: 113.778
-51200/69092 Loss: 113.365
-64000/69092 Loss: 114.084
-Training time 0:03:41.200797
-Epoch: 153 Average loss: 113.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 297)
-0/69092 Loss: 107.227
-12800/69092 Loss: 113.711
-25600/69092 Loss: 113.918
-38400/69092 Loss: 113.109
-51200/69092 Loss: 114.343
-64000/69092 Loss: 114.783
-Training time 0:03:40.808502
-Epoch: 154 Average loss: 113.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 298)
-0/69092 Loss: 118.423
-12800/69092 Loss: 113.903
-25600/69092 Loss: 114.294
-38400/69092 Loss: 113.249
-51200/69092 Loss: 113.512
-64000/69092 Loss: 113.888
-Training time 0:03:40.464494
-Epoch: 155 Average loss: 113.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 299)
-0/69092 Loss: 110.552
-12800/69092 Loss: 114.813
-25600/69092 Loss: 113.985
-38400/69092 Loss: 113.234
-51200/69092 Loss: 113.633
-64000/69092 Loss: 112.940
-Training time 0:03:41.316922
-Epoch: 156 Average loss: 113.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 300)
-0/69092 Loss: 107.383
-12800/69092 Loss: 114.037
-25600/69092 Loss: 113.720
-38400/69092 Loss: 114.365
-51200/69092 Loss: 114.352
-64000/69092 Loss: 113.392
-Training time 0:03:40.482092
-Epoch: 157 Average loss: 113.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 301)
-0/69092 Loss: 117.259
-12800/69092 Loss: 113.602
-25600/69092 Loss: 114.473
-38400/69092 Loss: 114.025
-51200/69092 Loss: 113.492
-64000/69092 Loss: 113.360
-Training time 0:03:41.407732
-Epoch: 158 Average loss: 113.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 302)
-0/69092 Loss: 112.966
-12800/69092 Loss: 115.213
-25600/69092 Loss: 113.350
-38400/69092 Loss: 113.020
-51200/69092 Loss: 113.828
-64000/69092 Loss: 112.916
-Training time 0:03:40.707541
-Epoch: 159 Average loss: 113.67
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 303)
-0/69092 Loss: 112.165
-12800/69092 Loss: 113.725
-25600/69092 Loss: 113.370
-38400/69092 Loss: 113.152
-51200/69092 Loss: 114.303
-64000/69092 Loss: 113.987
-Training time 0:03:40.781130
-Epoch: 160 Average loss: 113.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 304)
-0/69092 Loss: 118.550
-12800/69092 Loss: 113.662
-25600/69092 Loss: 113.729
-38400/69092 Loss: 112.721
-51200/69092 Loss: 114.058
-64000/69092 Loss: 113.786
-Training time 0:03:40.647435
-Epoch: 161 Average loss: 113.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 305)
-0/69092 Loss: 110.329
-12800/69092 Loss: 113.751
-25600/69092 Loss: 113.522
-38400/69092 Loss: 113.958
-51200/69092 Loss: 113.470
-64000/69092 Loss: 114.256
-Training time 0:03:40.584303
-Epoch: 162 Average loss: 113.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_256/checkpoints/last' (iter 306)
-0/69092 Loss: 115.073
-12800/69092 Loss: 113.487
-25600/69092 Loss: 112.933
-38400/69092 Loss: 114.015
-51200/69092 Loss: 113.915
diff --git a/OAR.2068287.stderr b/OAR.2068287.stderr
deleted file mode 100644
index 8fc598446e..0000000000
--- a/OAR.2068287.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 02:59:26] Job 2068287 KILLED ##
diff --git a/OAR.2068287.stdout b/OAR.2068287.stdout
deleted file mode 100644
index 6505e10a52..0000000000
--- a/OAR.2068287.stdout
+++ /dev/null
@@ -1,7690 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=True, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-Tesla K80
-Tesla K80
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last (iter 141)'
-0/69092 Loss: 125.079
-3200/69092 Loss: 115.007
-6400/69092 Loss: 112.859
-9600/69092 Loss: 111.069
-12800/69092 Loss: 112.965
-16000/69092 Loss: 115.110
-19200/69092 Loss: 114.558
-22400/69092 Loss: 112.883
-25600/69092 Loss: 115.052
-28800/69092 Loss: 113.553
-32000/69092 Loss: 113.282
-35200/69092 Loss: 113.634
-38400/69092 Loss: 115.232
-41600/69092 Loss: 114.954
-44800/69092 Loss: 114.793
-48000/69092 Loss: 113.861
-51200/69092 Loss: 115.127
-54400/69092 Loss: 114.662
-57600/69092 Loss: 113.465
-60800/69092 Loss: 115.242
-64000/69092 Loss: 113.780
-67200/69092 Loss: 115.152
-Training time 0:01:56.869585
-Epoch: 1 Average loss: 114.13
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 142)
-0/69092 Loss: 112.760
-3200/69092 Loss: 113.538
-6400/69092 Loss: 113.977
-9600/69092 Loss: 114.566
-12800/69092 Loss: 112.319
-16000/69092 Loss: 111.585
-19200/69092 Loss: 114.728
-22400/69092 Loss: 114.281
-25600/69092 Loss: 114.036
-28800/69092 Loss: 112.604
-32000/69092 Loss: 114.703
-35200/69092 Loss: 112.797
-38400/69092 Loss: 113.396
-41600/69092 Loss: 113.250
-44800/69092 Loss: 114.304
-48000/69092 Loss: 114.082
-51200/69092 Loss: 113.120
-54400/69092 Loss: 114.240
-57600/69092 Loss: 114.220
-60800/69092 Loss: 114.049
-64000/69092 Loss: 114.315
-67200/69092 Loss: 115.325
-Training time 0:01:55.978440
-Epoch: 2 Average loss: 113.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 143)
-0/69092 Loss: 104.286
-3200/69092 Loss: 113.911
-6400/69092 Loss: 113.413
-9600/69092 Loss: 114.114
-12800/69092 Loss: 114.172
-16000/69092 Loss: 112.455
-19200/69092 Loss: 113.278
-22400/69092 Loss: 112.483
-25600/69092 Loss: 114.161
-28800/69092 Loss: 113.708
-32000/69092 Loss: 113.457
-35200/69092 Loss: 114.794
-38400/69092 Loss: 115.137
-41600/69092 Loss: 113.252
-44800/69092 Loss: 113.677
-48000/69092 Loss: 114.658
-51200/69092 Loss: 114.810
-54400/69092 Loss: 114.506
-57600/69092 Loss: 114.287
-60800/69092 Loss: 112.400
-64000/69092 Loss: 113.262
-67200/69092 Loss: 113.660
-Training time 0:01:56.425483
-Epoch: 3 Average loss: 113.77
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 144)
-0/69092 Loss: 110.025
-3200/69092 Loss: 113.539
-6400/69092 Loss: 113.187
-9600/69092 Loss: 114.277
-12800/69092 Loss: 114.722
-16000/69092 Loss: 115.005
-19200/69092 Loss: 115.202
-22400/69092 Loss: 114.601
-25600/69092 Loss: 114.374
-28800/69092 Loss: 113.862
-32000/69092 Loss: 113.593
-35200/69092 Loss: 112.949
-38400/69092 Loss: 114.994
-41600/69092 Loss: 110.398
-44800/69092 Loss: 114.510
-48000/69092 Loss: 112.255
-51200/69092 Loss: 113.327
-54400/69092 Loss: 113.922
-57600/69092 Loss: 114.309
-60800/69092 Loss: 113.514
-64000/69092 Loss: 113.504
-67200/69092 Loss: 112.617
-Training time 0:01:57.257287
-Epoch: 4 Average loss: 113.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 145)
-0/69092 Loss: 115.686
-3200/69092 Loss: 113.514
-6400/69092 Loss: 113.764
-9600/69092 Loss: 114.790
-12800/69092 Loss: 114.248
-16000/69092 Loss: 115.185
-19200/69092 Loss: 114.162
-22400/69092 Loss: 113.379
-25600/69092 Loss: 112.616
-28800/69092 Loss: 111.764
-32000/69092 Loss: 111.180
-35200/69092 Loss: 113.116
-38400/69092 Loss: 112.823
-41600/69092 Loss: 114.039
-44800/69092 Loss: 115.470
-48000/69092 Loss: 112.761
-51200/69092 Loss: 114.183
-54400/69092 Loss: 114.356
-57600/69092 Loss: 113.520
-60800/69092 Loss: 113.811
-64000/69092 Loss: 114.090
-67200/69092 Loss: 114.403
-Training time 0:01:56.836488
-Epoch: 5 Average loss: 113.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 146)
-0/69092 Loss: 109.627
-3200/69092 Loss: 116.425
-6400/69092 Loss: 115.631
-9600/69092 Loss: 113.910
-12800/69092 Loss: 113.174
-16000/69092 Loss: 115.867
-19200/69092 Loss: 114.272
-22400/69092 Loss: 113.119
-25600/69092 Loss: 113.460
-28800/69092 Loss: 113.324
-32000/69092 Loss: 113.904
-35200/69092 Loss: 112.535
-38400/69092 Loss: 113.853
-41600/69092 Loss: 114.495
-44800/69092 Loss: 113.832
-48000/69092 Loss: 113.648
-51200/69092 Loss: 113.347
-54400/69092 Loss: 112.514
-57600/69092 Loss: 114.683
-60800/69092 Loss: 113.183
-64000/69092 Loss: 113.315
-67200/69092 Loss: 113.213
-Training time 0:01:57.404128
-Epoch: 6 Average loss: 113.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 147)
-0/69092 Loss: 109.914
-3200/69092 Loss: 114.036
-6400/69092 Loss: 114.713
-9600/69092 Loss: 113.437
-12800/69092 Loss: 114.746
-16000/69092 Loss: 111.768
-19200/69092 Loss: 114.115
-22400/69092 Loss: 114.814
-25600/69092 Loss: 115.645
-28800/69092 Loss: 112.973
-32000/69092 Loss: 113.810
-35200/69092 Loss: 115.210
-38400/69092 Loss: 113.221
-41600/69092 Loss: 114.990
-44800/69092 Loss: 114.650
-48000/69092 Loss: 113.660
-51200/69092 Loss: 112.482
-54400/69092 Loss: 113.060
-57600/69092 Loss: 113.071
-60800/69092 Loss: 113.850
-64000/69092 Loss: 112.558
-67200/69092 Loss: 112.789
-Training time 0:01:57.441482
-Epoch: 7 Average loss: 113.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 148)
-0/69092 Loss: 121.824
-3200/69092 Loss: 112.704
-6400/69092 Loss: 113.783
-9600/69092 Loss: 113.949
-12800/69092 Loss: 112.764
-16000/69092 Loss: 113.602
-19200/69092 Loss: 112.738
-22400/69092 Loss: 115.579
-25600/69092 Loss: 113.357
-28800/69092 Loss: 114.605
-32000/69092 Loss: 114.020
-35200/69092 Loss: 113.004
-38400/69092 Loss: 112.137
-41600/69092 Loss: 115.544
-44800/69092 Loss: 113.168
-48000/69092 Loss: 114.932
-51200/69092 Loss: 114.134
-54400/69092 Loss: 111.579
-57600/69092 Loss: 113.492
-60800/69092 Loss: 112.961
-64000/69092 Loss: 114.972
-67200/69092 Loss: 114.606
-Training time 0:01:58.520655
-Epoch: 8 Average loss: 113.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 149)
-0/69092 Loss: 110.463
-3200/69092 Loss: 113.137
-6400/69092 Loss: 114.297
-9600/69092 Loss: 112.593
-12800/69092 Loss: 116.417
-16000/69092 Loss: 115.145
-19200/69092 Loss: 111.854
-22400/69092 Loss: 112.939
-25600/69092 Loss: 111.441
-28800/69092 Loss: 112.811
-32000/69092 Loss: 114.812
-35200/69092 Loss: 115.321
-38400/69092 Loss: 114.408
-41600/69092 Loss: 113.814
-44800/69092 Loss: 112.967
-48000/69092 Loss: 111.880
-51200/69092 Loss: 113.830
-54400/69092 Loss: 113.349
-57600/69092 Loss: 114.363
-60800/69092 Loss: 113.460
-64000/69092 Loss: 113.752
-67200/69092 Loss: 113.491
-Training time 0:01:58.384435
-Epoch: 9 Average loss: 113.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 150)
-0/69092 Loss: 121.917
-3200/69092 Loss: 115.084
-6400/69092 Loss: 114.664
-9600/69092 Loss: 113.384
-12800/69092 Loss: 112.379
-16000/69092 Loss: 112.492
-19200/69092 Loss: 113.140
-22400/69092 Loss: 115.757
-25600/69092 Loss: 114.930
-28800/69092 Loss: 112.177
-32000/69092 Loss: 111.538
-35200/69092 Loss: 115.418
-38400/69092 Loss: 114.796
-41600/69092 Loss: 112.498
-44800/69092 Loss: 112.340
-48000/69092 Loss: 113.766
-51200/69092 Loss: 113.419
-54400/69092 Loss: 114.525
-57600/69092 Loss: 114.386
-60800/69092 Loss: 115.346
-64000/69092 Loss: 115.220
-67200/69092 Loss: 114.505
-Training time 0:01:57.951281
-Epoch: 10 Average loss: 113.89
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 151)
-0/69092 Loss: 108.863
-3200/69092 Loss: 112.518
-6400/69092 Loss: 113.433
-9600/69092 Loss: 112.106
-12800/69092 Loss: 113.909
-16000/69092 Loss: 113.413
-19200/69092 Loss: 112.693
-22400/69092 Loss: 113.943
-25600/69092 Loss: 113.133
-28800/69092 Loss: 111.835
-32000/69092 Loss: 115.210
-35200/69092 Loss: 114.977
-38400/69092 Loss: 113.770
-41600/69092 Loss: 114.100
-44800/69092 Loss: 113.332
-48000/69092 Loss: 113.625
-51200/69092 Loss: 111.323
-54400/69092 Loss: 113.913
-57600/69092 Loss: 113.490
-60800/69092 Loss: 116.104
-64000/69092 Loss: 114.764
-67200/69092 Loss: 114.384
-Training time 0:01:57.412617
-Epoch: 11 Average loss: 113.66
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 152)
-0/69092 Loss: 104.733
-3200/69092 Loss: 115.578
-6400/69092 Loss: 112.918
-9600/69092 Loss: 113.655
-12800/69092 Loss: 114.260
-16000/69092 Loss: 114.817
-19200/69092 Loss: 114.822
-22400/69092 Loss: 114.628
-25600/69092 Loss: 113.353
-28800/69092 Loss: 111.861
-32000/69092 Loss: 113.800
-35200/69092 Loss: 112.308
-38400/69092 Loss: 111.741
-41600/69092 Loss: 114.310
-44800/69092 Loss: 114.432
-48000/69092 Loss: 113.419
-51200/69092 Loss: 113.757
-54400/69092 Loss: 114.367
-57600/69092 Loss: 115.230
-60800/69092 Loss: 112.206
-64000/69092 Loss: 112.024
-67200/69092 Loss: 113.345
-Training time 0:01:57.934890
-Epoch: 12 Average loss: 113.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 153)
-0/69092 Loss: 107.076
-3200/69092 Loss: 114.470
-6400/69092 Loss: 112.783
-9600/69092 Loss: 111.472
-12800/69092 Loss: 113.910
-16000/69092 Loss: 112.457
-19200/69092 Loss: 114.655
-22400/69092 Loss: 111.367
-25600/69092 Loss: 114.837
-28800/69092 Loss: 114.223
-32000/69092 Loss: 114.428
-35200/69092 Loss: 114.466
-38400/69092 Loss: 114.307
-41600/69092 Loss: 113.122
-44800/69092 Loss: 112.442
-48000/69092 Loss: 112.000
-51200/69092 Loss: 114.755
-54400/69092 Loss: 115.889
-57600/69092 Loss: 115.738
-60800/69092 Loss: 113.443
-64000/69092 Loss: 113.503
-67200/69092 Loss: 112.557
-Training time 0:01:57.624968
-Epoch: 13 Average loss: 113.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 154)
-0/69092 Loss: 106.276
-3200/69092 Loss: 113.254
-6400/69092 Loss: 113.480
-9600/69092 Loss: 113.790
-12800/69092 Loss: 113.209
-16000/69092 Loss: 115.360
-19200/69092 Loss: 115.386
-22400/69092 Loss: 113.469
-25600/69092 Loss: 114.159
-28800/69092 Loss: 112.560
-32000/69092 Loss: 112.678
-35200/69092 Loss: 112.689
-38400/69092 Loss: 113.637
-41600/69092 Loss: 113.831
-44800/69092 Loss: 113.137
-48000/69092 Loss: 114.083
-51200/69092 Loss: 114.013
-54400/69092 Loss: 113.474
-57600/69092 Loss: 114.993
-60800/69092 Loss: 112.344
-64000/69092 Loss: 112.172
-67200/69092 Loss: 114.178
-Training time 0:01:58.010337
-Epoch: 14 Average loss: 113.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 155)
-0/69092 Loss: 108.611
-3200/69092 Loss: 111.197
-6400/69092 Loss: 112.415
-9600/69092 Loss: 114.600
-12800/69092 Loss: 114.010
-16000/69092 Loss: 112.331
-19200/69092 Loss: 115.730
-22400/69092 Loss: 114.922
-25600/69092 Loss: 113.552
-28800/69092 Loss: 114.249
-32000/69092 Loss: 113.767
-35200/69092 Loss: 112.832
-38400/69092 Loss: 113.465
-41600/69092 Loss: 113.522
-44800/69092 Loss: 111.865
-48000/69092 Loss: 113.941
-51200/69092 Loss: 114.104
-54400/69092 Loss: 113.277
-57600/69092 Loss: 114.511
-60800/69092 Loss: 114.295
-64000/69092 Loss: 114.379
-67200/69092 Loss: 115.290
-Training time 0:01:57.048396
-Epoch: 15 Average loss: 113.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 156)
-0/69092 Loss: 107.534
-3200/69092 Loss: 115.344
-6400/69092 Loss: 111.464
-9600/69092 Loss: 116.030
-12800/69092 Loss: 113.621
-16000/69092 Loss: 114.181
-19200/69092 Loss: 111.447
-22400/69092 Loss: 112.626
-25600/69092 Loss: 114.451
-28800/69092 Loss: 114.031
-32000/69092 Loss: 114.145
-35200/69092 Loss: 114.513
-38400/69092 Loss: 112.339
-41600/69092 Loss: 113.435
-44800/69092 Loss: 112.827
-48000/69092 Loss: 113.485
-51200/69092 Loss: 111.628
-54400/69092 Loss: 115.204
-57600/69092 Loss: 114.545
-60800/69092 Loss: 112.454
-64000/69092 Loss: 114.114
-67200/69092 Loss: 113.067
-Training time 0:01:57.457423
-Epoch: 16 Average loss: 113.60
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 157)
-0/69092 Loss: 116.660
-3200/69092 Loss: 114.853
-6400/69092 Loss: 112.667
-9600/69092 Loss: 112.774
-12800/69092 Loss: 114.292
-16000/69092 Loss: 114.432
-19200/69092 Loss: 112.169
-22400/69092 Loss: 113.521
-25600/69092 Loss: 113.267
-28800/69092 Loss: 113.237
-32000/69092 Loss: 114.095
-35200/69092 Loss: 113.309
-38400/69092 Loss: 113.006
-41600/69092 Loss: 114.433
-44800/69092 Loss: 112.666
-48000/69092 Loss: 113.657
-51200/69092 Loss: 113.695
-54400/69092 Loss: 112.925
-57600/69092 Loss: 114.781
-60800/69092 Loss: 112.507
-64000/69092 Loss: 113.606
-67200/69092 Loss: 113.461
-Training time 0:01:57.301919
-Epoch: 17 Average loss: 113.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 158)
-0/69092 Loss: 122.441
-3200/69092 Loss: 112.092
-6400/69092 Loss: 113.156
-9600/69092 Loss: 113.583
-12800/69092 Loss: 111.844
-16000/69092 Loss: 114.031
-19200/69092 Loss: 114.414
-22400/69092 Loss: 113.251
-25600/69092 Loss: 113.530
-28800/69092 Loss: 113.606
-32000/69092 Loss: 113.308
-35200/69092 Loss: 114.011
-38400/69092 Loss: 114.065
-41600/69092 Loss: 112.315
-44800/69092 Loss: 113.055
-48000/69092 Loss: 115.181
-51200/69092 Loss: 112.946
-54400/69092 Loss: 112.808
-57600/69092 Loss: 112.249
-60800/69092 Loss: 114.315
-64000/69092 Loss: 113.936
-67200/69092 Loss: 114.932
-Training time 0:01:57.483391
-Epoch: 18 Average loss: 113.47
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 159)
-0/69092 Loss: 122.759
-3200/69092 Loss: 113.321
-6400/69092 Loss: 113.648
-9600/69092 Loss: 112.375
-12800/69092 Loss: 112.852
-16000/69092 Loss: 112.071
-19200/69092 Loss: 113.528
-22400/69092 Loss: 114.628
-25600/69092 Loss: 112.113
-28800/69092 Loss: 113.940
-32000/69092 Loss: 113.889
-35200/69092 Loss: 113.388
-38400/69092 Loss: 112.044
-41600/69092 Loss: 115.349
-44800/69092 Loss: 115.419
-48000/69092 Loss: 115.057
-51200/69092 Loss: 111.960
-54400/69092 Loss: 113.128
-57600/69092 Loss: 114.014
-60800/69092 Loss: 114.916
-64000/69092 Loss: 112.238
-67200/69092 Loss: 114.478
-Training time 0:01:57.380616
-Epoch: 19 Average loss: 113.53
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 160)
-0/69092 Loss: 122.416
-3200/69092 Loss: 113.065
-6400/69092 Loss: 112.945
-9600/69092 Loss: 114.812
-12800/69092 Loss: 113.286
-16000/69092 Loss: 113.571
-19200/69092 Loss: 112.787
-22400/69092 Loss: 114.123
-25600/69092 Loss: 111.963
-28800/69092 Loss: 114.746
-32000/69092 Loss: 114.841
-35200/69092 Loss: 113.247
-38400/69092 Loss: 114.276
-41600/69092 Loss: 113.018
-44800/69092 Loss: 113.369
-48000/69092 Loss: 115.743
-51200/69092 Loss: 112.478
-54400/69092 Loss: 114.102
-57600/69092 Loss: 111.813
-60800/69092 Loss: 114.739
-64000/69092 Loss: 114.274
-67200/69092 Loss: 111.381
-Training time 0:01:56.380362
-Epoch: 20 Average loss: 113.56
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 161)
-0/69092 Loss: 112.697
-3200/69092 Loss: 111.970
-6400/69092 Loss: 113.422
-9600/69092 Loss: 114.740
-12800/69092 Loss: 112.861
-16000/69092 Loss: 113.943
-19200/69092 Loss: 114.139
-22400/69092 Loss: 114.140
-25600/69092 Loss: 112.929
-28800/69092 Loss: 113.136
-32000/69092 Loss: 113.414
-35200/69092 Loss: 112.107
-38400/69092 Loss: 113.728
-41600/69092 Loss: 115.102
-44800/69092 Loss: 113.559
-48000/69092 Loss: 112.958
-51200/69092 Loss: 114.589
-54400/69092 Loss: 113.106
-57600/69092 Loss: 113.833
-60800/69092 Loss: 113.401
-64000/69092 Loss: 113.879
-67200/69092 Loss: 113.091
-Training time 0:01:56.913742
-Epoch: 21 Average loss: 113.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 162)
-0/69092 Loss: 112.838
-3200/69092 Loss: 112.310
-6400/69092 Loss: 113.759
-9600/69092 Loss: 112.544
-12800/69092 Loss: 112.362
-16000/69092 Loss: 112.802
-19200/69092 Loss: 112.718
-22400/69092 Loss: 113.442
-25600/69092 Loss: 112.484
-28800/69092 Loss: 115.515
-32000/69092 Loss: 114.749
-35200/69092 Loss: 113.935
-38400/69092 Loss: 113.959
-41600/69092 Loss: 114.361
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-57600/69092 Loss: 113.406
-60800/69092 Loss: 114.487
-64000/69092 Loss: 112.059
-67200/69092 Loss: 113.190
-Training time 0:01:56.616397
-Epoch: 22 Average loss: 113.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 163)
-0/69092 Loss: 112.265
-3200/69092 Loss: 113.519
-6400/69092 Loss: 114.359
-9600/69092 Loss: 114.245
-12800/69092 Loss: 113.577
-16000/69092 Loss: 110.586
-19200/69092 Loss: 114.820
-22400/69092 Loss: 113.391
-25600/69092 Loss: 113.191
-28800/69092 Loss: 113.830
-32000/69092 Loss: 115.596
-35200/69092 Loss: 111.519
-38400/69092 Loss: 113.771
-41600/69092 Loss: 112.730
-44800/69092 Loss: 113.291
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-51200/69092 Loss: 113.362
-54400/69092 Loss: 114.491
-57600/69092 Loss: 112.943
-60800/69092 Loss: 115.163
-64000/69092 Loss: 114.269
-67200/69092 Loss: 111.660
-Training time 0:01:57.499579
-Epoch: 23 Average loss: 113.46
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 164)
-0/69092 Loss: 110.541
-3200/69092 Loss: 113.010
-6400/69092 Loss: 112.319
-9600/69092 Loss: 110.574
-12800/69092 Loss: 112.917
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-19200/69092 Loss: 113.512
-22400/69092 Loss: 114.476
-25600/69092 Loss: 115.393
-28800/69092 Loss: 112.487
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-35200/69092 Loss: 111.957
-38400/69092 Loss: 113.179
-41600/69092 Loss: 113.447
-44800/69092 Loss: 112.649
-48000/69092 Loss: 113.721
-51200/69092 Loss: 113.584
-54400/69092 Loss: 113.247
-57600/69092 Loss: 113.686
-60800/69092 Loss: 114.066
-64000/69092 Loss: 113.360
-67200/69092 Loss: 112.081
-Training time 0:01:57.703437
-Epoch: 24 Average loss: 113.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 165)
-0/69092 Loss: 105.358
-3200/69092 Loss: 114.464
-6400/69092 Loss: 112.813
-9600/69092 Loss: 113.094
-12800/69092 Loss: 113.297
-16000/69092 Loss: 114.835
-19200/69092 Loss: 115.511
-22400/69092 Loss: 112.595
-25600/69092 Loss: 113.581
-28800/69092 Loss: 113.866
-32000/69092 Loss: 114.044
-35200/69092 Loss: 114.533
-38400/69092 Loss: 115.093
-41600/69092 Loss: 114.654
-44800/69092 Loss: 114.217
-48000/69092 Loss: 113.844
-51200/69092 Loss: 111.626
-54400/69092 Loss: 112.837
-57600/69092 Loss: 112.028
-60800/69092 Loss: 111.412
-64000/69092 Loss: 111.944
-67200/69092 Loss: 114.354
-Training time 0:01:57.128045
-Epoch: 25 Average loss: 113.53
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 166)
-0/69092 Loss: 119.216
-3200/69092 Loss: 113.760
-6400/69092 Loss: 114.056
-9600/69092 Loss: 113.799
-12800/69092 Loss: 113.218
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-19200/69092 Loss: 113.767
-22400/69092 Loss: 112.843
-25600/69092 Loss: 114.296
-28800/69092 Loss: 111.594
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-35200/69092 Loss: 112.529
-38400/69092 Loss: 115.394
-41600/69092 Loss: 113.424
-44800/69092 Loss: 113.577
-48000/69092 Loss: 113.916
-51200/69092 Loss: 113.749
-54400/69092 Loss: 112.013
-57600/69092 Loss: 112.941
-60800/69092 Loss: 115.017
-64000/69092 Loss: 112.619
-67200/69092 Loss: 112.699
-Training time 0:01:56.817717
-Epoch: 26 Average loss: 113.44
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 167)
-0/69092 Loss: 112.080
-3200/69092 Loss: 113.181
-6400/69092 Loss: 113.334
-9600/69092 Loss: 113.410
-12800/69092 Loss: 114.304
-16000/69092 Loss: 115.035
-19200/69092 Loss: 110.356
-22400/69092 Loss: 113.695
-25600/69092 Loss: 111.821
-28800/69092 Loss: 112.289
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-35200/69092 Loss: 113.323
-38400/69092 Loss: 112.747
-41600/69092 Loss: 114.286
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-51200/69092 Loss: 113.396
-54400/69092 Loss: 114.657
-57600/69092 Loss: 112.889
-60800/69092 Loss: 113.635
-64000/69092 Loss: 114.906
-67200/69092 Loss: 113.901
-Training time 0:01:56.991105
-Epoch: 27 Average loss: 113.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 168)
-0/69092 Loss: 118.096
-3200/69092 Loss: 112.825
-6400/69092 Loss: 111.038
-9600/69092 Loss: 113.668
-12800/69092 Loss: 112.929
-16000/69092 Loss: 116.022
-19200/69092 Loss: 112.779
-22400/69092 Loss: 113.887
-25600/69092 Loss: 112.522
-28800/69092 Loss: 113.807
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-35200/69092 Loss: 111.301
-38400/69092 Loss: 113.108
-41600/69092 Loss: 115.450
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-54400/69092 Loss: 113.296
-57600/69092 Loss: 113.732
-60800/69092 Loss: 115.135
-64000/69092 Loss: 112.423
-67200/69092 Loss: 113.397
-Training time 0:01:57.699817
-Epoch: 28 Average loss: 113.29
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 169)
-0/69092 Loss: 129.896
-3200/69092 Loss: 111.535
-6400/69092 Loss: 113.759
-9600/69092 Loss: 112.517
-12800/69092 Loss: 113.311
-16000/69092 Loss: 113.559
-19200/69092 Loss: 113.697
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-25600/69092 Loss: 112.384
-28800/69092 Loss: 111.674
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-35200/69092 Loss: 111.903
-38400/69092 Loss: 111.676
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-44800/69092 Loss: 114.515
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-51200/69092 Loss: 113.357
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-57600/69092 Loss: 113.563
-60800/69092 Loss: 113.460
-64000/69092 Loss: 112.999
-67200/69092 Loss: 113.924
-Training time 0:01:57.600318
-Epoch: 29 Average loss: 113.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 170)
-0/69092 Loss: 116.106
-3200/69092 Loss: 113.221
-6400/69092 Loss: 114.010
-9600/69092 Loss: 112.702
-12800/69092 Loss: 113.932
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-19200/69092 Loss: 113.270
-22400/69092 Loss: 111.887
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-35200/69092 Loss: 114.309
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-57600/69092 Loss: 112.162
-60800/69092 Loss: 113.825
-64000/69092 Loss: 111.508
-67200/69092 Loss: 111.641
-Training time 0:01:57.824421
-Epoch: 30 Average loss: 113.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 171)
-0/69092 Loss: 111.976
-3200/69092 Loss: 113.670
-6400/69092 Loss: 112.234
-9600/69092 Loss: 112.258
-12800/69092 Loss: 111.372
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-19200/69092 Loss: 114.690
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-35200/69092 Loss: 114.725
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-57600/69092 Loss: 114.326
-60800/69092 Loss: 115.077
-64000/69092 Loss: 113.883
-67200/69092 Loss: 112.444
-Training time 0:01:56.239890
-Epoch: 31 Average loss: 113.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 172)
-0/69092 Loss: 107.572
-3200/69092 Loss: 112.417
-6400/69092 Loss: 113.643
-9600/69092 Loss: 112.115
-12800/69092 Loss: 113.451
-16000/69092 Loss: 114.296
-19200/69092 Loss: 112.702
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-25600/69092 Loss: 111.976
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-57600/69092 Loss: 113.216
-60800/69092 Loss: 112.574
-64000/69092 Loss: 113.551
-67200/69092 Loss: 112.291
-Training time 0:01:58.274545
-Epoch: 32 Average loss: 113.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 173)
-0/69092 Loss: 128.844
-3200/69092 Loss: 113.094
-6400/69092 Loss: 113.790
-9600/69092 Loss: 114.675
-12800/69092 Loss: 113.787
-16000/69092 Loss: 113.817
-19200/69092 Loss: 111.743
-22400/69092 Loss: 112.467
-25600/69092 Loss: 113.830
-28800/69092 Loss: 113.495
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-35200/69092 Loss: 112.246
-38400/69092 Loss: 112.938
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-44800/69092 Loss: 112.097
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-54400/69092 Loss: 114.513
-57600/69092 Loss: 112.853
-60800/69092 Loss: 112.763
-64000/69092 Loss: 112.027
-67200/69092 Loss: 114.172
-Training time 0:01:57.798408
-Epoch: 33 Average loss: 113.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 174)
-0/69092 Loss: 104.629
-3200/69092 Loss: 112.173
-6400/69092 Loss: 114.126
-9600/69092 Loss: 113.989
-12800/69092 Loss: 112.428
-16000/69092 Loss: 113.403
-19200/69092 Loss: 112.374
-22400/69092 Loss: 114.004
-25600/69092 Loss: 111.297
-28800/69092 Loss: 113.265
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-35200/69092 Loss: 113.076
-38400/69092 Loss: 112.095
-41600/69092 Loss: 112.621
-44800/69092 Loss: 113.332
-48000/69092 Loss: 113.742
-51200/69092 Loss: 112.438
-54400/69092 Loss: 114.087
-57600/69092 Loss: 112.684
-60800/69092 Loss: 113.479
-64000/69092 Loss: 111.662
-67200/69092 Loss: 114.712
-Training time 0:01:57.837601
-Epoch: 34 Average loss: 113.12
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 175)
-0/69092 Loss: 103.858
-3200/69092 Loss: 112.354
-6400/69092 Loss: 112.711
-9600/69092 Loss: 112.340
-12800/69092 Loss: 114.180
-16000/69092 Loss: 114.228
-19200/69092 Loss: 112.943
-22400/69092 Loss: 113.147
-25600/69092 Loss: 113.512
-28800/69092 Loss: 113.014
-32000/69092 Loss: 112.682
-35200/69092 Loss: 113.589
-38400/69092 Loss: 113.333
-41600/69092 Loss: 110.257
-44800/69092 Loss: 113.071
-48000/69092 Loss: 113.393
-51200/69092 Loss: 112.867
-54400/69092 Loss: 112.875
-57600/69092 Loss: 114.227
-60800/69092 Loss: 114.129
-64000/69092 Loss: 113.988
-67200/69092 Loss: 113.577
-Training time 0:01:57.205795
-Epoch: 35 Average loss: 113.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 176)
-0/69092 Loss: 103.413
-3200/69092 Loss: 112.778
-6400/69092 Loss: 111.808
-9600/69092 Loss: 113.004
-12800/69092 Loss: 112.850
-16000/69092 Loss: 112.508
-19200/69092 Loss: 112.487
-22400/69092 Loss: 112.307
-25600/69092 Loss: 112.598
-28800/69092 Loss: 113.347
-32000/69092 Loss: 113.953
-35200/69092 Loss: 112.537
-38400/69092 Loss: 113.105
-41600/69092 Loss: 113.944
-44800/69092 Loss: 112.627
-48000/69092 Loss: 113.469
-51200/69092 Loss: 113.354
-54400/69092 Loss: 111.951
-57600/69092 Loss: 114.612
-60800/69092 Loss: 115.151
-64000/69092 Loss: 114.095
-67200/69092 Loss: 112.999
-Training time 0:01:58.093735
-Epoch: 36 Average loss: 113.13
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 177)
-0/69092 Loss: 118.704
-3200/69092 Loss: 115.288
-6400/69092 Loss: 112.416
-9600/69092 Loss: 113.091
-12800/69092 Loss: 113.384
-16000/69092 Loss: 111.939
-19200/69092 Loss: 115.027
-22400/69092 Loss: 113.573
-25600/69092 Loss: 111.731
-28800/69092 Loss: 112.633
-32000/69092 Loss: 113.658
-35200/69092 Loss: 111.934
-38400/69092 Loss: 113.779
-41600/69092 Loss: 112.805
-44800/69092 Loss: 113.871
-48000/69092 Loss: 112.855
-51200/69092 Loss: 113.678
-54400/69092 Loss: 111.995
-57600/69092 Loss: 113.649
-60800/69092 Loss: 113.059
-64000/69092 Loss: 112.577
-67200/69092 Loss: 113.533
-Training time 0:01:57.311183
-Epoch: 37 Average loss: 113.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 178)
-0/69092 Loss: 98.776
-3200/69092 Loss: 115.477
-6400/69092 Loss: 112.687
-9600/69092 Loss: 113.104
-12800/69092 Loss: 113.899
-16000/69092 Loss: 112.074
-19200/69092 Loss: 113.378
-22400/69092 Loss: 113.883
-25600/69092 Loss: 112.427
-28800/69092 Loss: 112.084
-32000/69092 Loss: 113.294
-35200/69092 Loss: 114.481
-38400/69092 Loss: 111.956
-41600/69092 Loss: 111.803
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-48000/69092 Loss: 113.409
-51200/69092 Loss: 113.415
-54400/69092 Loss: 112.898
-57600/69092 Loss: 112.548
-60800/69092 Loss: 111.415
-64000/69092 Loss: 113.569
-67200/69092 Loss: 113.263
-Training time 0:01:58.672983
-Epoch: 38 Average loss: 113.18
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 179)
-0/69092 Loss: 117.852
-3200/69092 Loss: 114.132
-6400/69092 Loss: 113.622
-9600/69092 Loss: 114.413
-12800/69092 Loss: 113.895
-16000/69092 Loss: 113.178
-19200/69092 Loss: 112.793
-22400/69092 Loss: 113.263
-25600/69092 Loss: 112.936
-28800/69092 Loss: 112.303
-32000/69092 Loss: 112.990
-35200/69092 Loss: 111.565
-38400/69092 Loss: 112.377
-41600/69092 Loss: 113.479
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-48000/69092 Loss: 112.626
-51200/69092 Loss: 111.186
-54400/69092 Loss: 112.106
-57600/69092 Loss: 114.955
-60800/69092 Loss: 113.966
-64000/69092 Loss: 112.044
-67200/69092 Loss: 113.459
-Training time 0:01:57.760976
-Epoch: 39 Average loss: 113.18
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 180)
-0/69092 Loss: 112.574
-3200/69092 Loss: 113.277
-6400/69092 Loss: 113.513
-9600/69092 Loss: 112.636
-12800/69092 Loss: 114.511
-16000/69092 Loss: 111.913
-19200/69092 Loss: 113.311
-22400/69092 Loss: 112.848
-25600/69092 Loss: 113.098
-28800/69092 Loss: 111.790
-32000/69092 Loss: 115.993
-35200/69092 Loss: 112.678
-38400/69092 Loss: 112.988
-41600/69092 Loss: 113.563
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-48000/69092 Loss: 111.674
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-54400/69092 Loss: 114.340
-57600/69092 Loss: 112.935
-60800/69092 Loss: 114.753
-64000/69092 Loss: 114.156
-67200/69092 Loss: 114.243
-Training time 0:01:56.222605
-Epoch: 40 Average loss: 113.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 181)
-0/69092 Loss: 105.331
-3200/69092 Loss: 114.259
-6400/69092 Loss: 111.239
-9600/69092 Loss: 115.819
-12800/69092 Loss: 111.548
-16000/69092 Loss: 112.908
-19200/69092 Loss: 113.682
-22400/69092 Loss: 113.371
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-28800/69092 Loss: 113.930
-32000/69092 Loss: 113.883
-35200/69092 Loss: 113.407
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-57600/69092 Loss: 112.390
-60800/69092 Loss: 113.538
-64000/69092 Loss: 112.240
-67200/69092 Loss: 113.869
-Training time 0:01:57.349000
-Epoch: 41 Average loss: 113.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 182)
-0/69092 Loss: 106.944
-3200/69092 Loss: 112.803
-6400/69092 Loss: 110.267
-9600/69092 Loss: 112.340
-12800/69092 Loss: 113.424
-16000/69092 Loss: 113.995
-19200/69092 Loss: 113.619
-22400/69092 Loss: 111.961
-25600/69092 Loss: 114.552
-28800/69092 Loss: 113.481
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-57600/69092 Loss: 112.925
-60800/69092 Loss: 110.887
-64000/69092 Loss: 113.113
-67200/69092 Loss: 111.808
-Training time 0:01:56.222317
-Epoch: 42 Average loss: 112.96
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 183)
-0/69092 Loss: 118.230
-3200/69092 Loss: 114.454
-6400/69092 Loss: 114.169
-9600/69092 Loss: 113.332
-12800/69092 Loss: 113.019
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-19200/69092 Loss: 113.410
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-25600/69092 Loss: 113.521
-28800/69092 Loss: 112.724
-32000/69092 Loss: 113.471
-35200/69092 Loss: 113.396
-38400/69092 Loss: 112.500
-41600/69092 Loss: 112.662
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-54400/69092 Loss: 112.108
-57600/69092 Loss: 112.777
-60800/69092 Loss: 111.704
-64000/69092 Loss: 113.784
-67200/69092 Loss: 114.549
-Training time 0:01:56.173590
-Epoch: 43 Average loss: 113.11
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 184)
-0/69092 Loss: 110.065
-3200/69092 Loss: 111.767
-6400/69092 Loss: 113.636
-9600/69092 Loss: 112.554
-12800/69092 Loss: 113.104
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-57600/69092 Loss: 114.136
-60800/69092 Loss: 114.549
-64000/69092 Loss: 113.641
-67200/69092 Loss: 111.212
-Training time 0:01:56.315797
-Epoch: 44 Average loss: 113.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 185)
-0/69092 Loss: 107.930
-3200/69092 Loss: 112.748
-6400/69092 Loss: 113.215
-9600/69092 Loss: 112.162
-12800/69092 Loss: 112.736
-16000/69092 Loss: 113.186
-19200/69092 Loss: 112.042
-22400/69092 Loss: 111.728
-25600/69092 Loss: 113.111
-28800/69092 Loss: 112.076
-32000/69092 Loss: 112.213
-35200/69092 Loss: 113.642
-38400/69092 Loss: 113.701
-41600/69092 Loss: 113.927
-44800/69092 Loss: 112.954
-48000/69092 Loss: 113.721
-51200/69092 Loss: 112.651
-54400/69092 Loss: 111.437
-57600/69092 Loss: 113.122
-60800/69092 Loss: 113.259
-64000/69092 Loss: 114.487
-67200/69092 Loss: 112.311
-Training time 0:01:57.252377
-Epoch: 45 Average loss: 112.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 186)
-0/69092 Loss: 107.370
-3200/69092 Loss: 112.774
-6400/69092 Loss: 111.116
-9600/69092 Loss: 115.065
-12800/69092 Loss: 110.289
-16000/69092 Loss: 112.626
-19200/69092 Loss: 114.124
-22400/69092 Loss: 114.952
-25600/69092 Loss: 112.964
-28800/69092 Loss: 111.603
-32000/69092 Loss: 114.307
-35200/69092 Loss: 113.034
-38400/69092 Loss: 111.020
-41600/69092 Loss: 112.118
-44800/69092 Loss: 113.457
-48000/69092 Loss: 113.852
-51200/69092 Loss: 113.247
-54400/69092 Loss: 114.377
-57600/69092 Loss: 112.041
-60800/69092 Loss: 112.349
-64000/69092 Loss: 113.902
-67200/69092 Loss: 113.314
-Training time 0:01:57.677153
-Epoch: 46 Average loss: 113.02
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 187)
-0/69092 Loss: 108.191
-3200/69092 Loss: 111.180
-6400/69092 Loss: 114.511
-9600/69092 Loss: 114.274
-12800/69092 Loss: 112.695
-16000/69092 Loss: 112.708
-19200/69092 Loss: 113.813
-22400/69092 Loss: 113.495
-25600/69092 Loss: 113.813
-28800/69092 Loss: 113.657
-32000/69092 Loss: 113.259
-35200/69092 Loss: 114.526
-38400/69092 Loss: 113.245
-41600/69092 Loss: 112.102
-44800/69092 Loss: 113.019
-48000/69092 Loss: 113.146
-51200/69092 Loss: 111.802
-54400/69092 Loss: 111.874
-57600/69092 Loss: 112.954
-60800/69092 Loss: 112.509
-64000/69092 Loss: 112.301
-67200/69092 Loss: 113.756
-Training time 0:01:57.270936
-Epoch: 47 Average loss: 113.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 188)
-0/69092 Loss: 114.384
-3200/69092 Loss: 112.098
-6400/69092 Loss: 113.737
-9600/69092 Loss: 112.405
-12800/69092 Loss: 112.935
-16000/69092 Loss: 112.704
-19200/69092 Loss: 112.897
-22400/69092 Loss: 111.671
-25600/69092 Loss: 111.944
-28800/69092 Loss: 112.637
-32000/69092 Loss: 112.662
-35200/69092 Loss: 113.128
-38400/69092 Loss: 113.058
-41600/69092 Loss: 114.302
-44800/69092 Loss: 112.805
-48000/69092 Loss: 113.744
-51200/69092 Loss: 112.352
-54400/69092 Loss: 113.272
-57600/69092 Loss: 113.209
-60800/69092 Loss: 112.415
-64000/69092 Loss: 113.384
-67200/69092 Loss: 114.061
-Training time 0:01:56.621897
-Epoch: 48 Average loss: 112.92
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 189)
-0/69092 Loss: 122.424
-3200/69092 Loss: 113.558
-6400/69092 Loss: 114.006
-9600/69092 Loss: 113.438
-12800/69092 Loss: 112.103
-16000/69092 Loss: 111.731
-19200/69092 Loss: 113.225
-22400/69092 Loss: 113.965
-25600/69092 Loss: 112.907
-28800/69092 Loss: 113.415
-32000/69092 Loss: 113.648
-35200/69092 Loss: 112.892
-38400/69092 Loss: 113.315
-41600/69092 Loss: 113.611
-44800/69092 Loss: 112.368
-48000/69092 Loss: 111.456
-51200/69092 Loss: 114.291
-54400/69092 Loss: 112.338
-57600/69092 Loss: 112.937
-60800/69092 Loss: 113.357
-64000/69092 Loss: 112.928
-67200/69092 Loss: 110.368
-Training time 0:01:57.034065
-Epoch: 49 Average loss: 112.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 190)
-0/69092 Loss: 103.725
-3200/69092 Loss: 112.181
-6400/69092 Loss: 110.256
-9600/69092 Loss: 112.561
-12800/69092 Loss: 113.508
-16000/69092 Loss: 112.477
-19200/69092 Loss: 113.481
-22400/69092 Loss: 113.713
-25600/69092 Loss: 111.214
-28800/69092 Loss: 112.821
-32000/69092 Loss: 114.706
-35200/69092 Loss: 113.510
-38400/69092 Loss: 113.152
-41600/69092 Loss: 111.306
-44800/69092 Loss: 113.479
-48000/69092 Loss: 112.801
-51200/69092 Loss: 113.999
-54400/69092 Loss: 114.534
-57600/69092 Loss: 114.387
-60800/69092 Loss: 111.725
-64000/69092 Loss: 114.551
-67200/69092 Loss: 111.415
-Training time 0:01:57.144276
-Epoch: 50 Average loss: 112.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 191)
-0/69092 Loss: 123.784
-3200/69092 Loss: 113.886
-6400/69092 Loss: 112.050
-9600/69092 Loss: 112.913
-12800/69092 Loss: 112.992
-16000/69092 Loss: 113.581
-19200/69092 Loss: 112.858
-22400/69092 Loss: 109.655
-25600/69092 Loss: 113.699
-28800/69092 Loss: 113.077
-32000/69092 Loss: 113.015
-35200/69092 Loss: 113.601
-38400/69092 Loss: 113.509
-41600/69092 Loss: 112.657
-44800/69092 Loss: 112.097
-48000/69092 Loss: 112.557
-51200/69092 Loss: 113.076
-54400/69092 Loss: 111.945
-57600/69092 Loss: 112.558
-60800/69092 Loss: 113.805
-64000/69092 Loss: 113.686
-67200/69092 Loss: 112.579
-Training time 0:01:58.141268
-Epoch: 51 Average loss: 112.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 192)
-0/69092 Loss: 102.234
-3200/69092 Loss: 113.874
-6400/69092 Loss: 112.134
-9600/69092 Loss: 111.494
-12800/69092 Loss: 112.315
-16000/69092 Loss: 114.314
-19200/69092 Loss: 112.447
-22400/69092 Loss: 113.243
-25600/69092 Loss: 112.554
-28800/69092 Loss: 112.491
-32000/69092 Loss: 114.047
-35200/69092 Loss: 114.010
-38400/69092 Loss: 113.350
-41600/69092 Loss: 111.099
-44800/69092 Loss: 112.864
-48000/69092 Loss: 113.585
-51200/69092 Loss: 113.284
-54400/69092 Loss: 113.734
-57600/69092 Loss: 111.351
-60800/69092 Loss: 113.639
-64000/69092 Loss: 111.110
-67200/69092 Loss: 112.782
-Training time 0:01:57.109686
-Epoch: 52 Average loss: 112.89
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 193)
-0/69092 Loss: 125.149
-3200/69092 Loss: 113.593
-6400/69092 Loss: 113.225
-9600/69092 Loss: 113.240
-12800/69092 Loss: 113.332
-16000/69092 Loss: 112.498
-19200/69092 Loss: 111.564
-22400/69092 Loss: 112.087
-25600/69092 Loss: 114.866
-28800/69092 Loss: 113.822
-32000/69092 Loss: 112.653
-35200/69092 Loss: 112.648
-38400/69092 Loss: 113.448
-41600/69092 Loss: 112.285
-44800/69092 Loss: 111.339
-48000/69092 Loss: 114.992
-51200/69092 Loss: 112.286
-54400/69092 Loss: 113.181
-57600/69092 Loss: 114.641
-60800/69092 Loss: 112.185
-64000/69092 Loss: 110.240
-67200/69092 Loss: 111.789
-Training time 0:01:57.890895
-Epoch: 53 Average loss: 112.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 194)
-0/69092 Loss: 120.738
-3200/69092 Loss: 113.921
-6400/69092 Loss: 112.629
-9600/69092 Loss: 112.500
-12800/69092 Loss: 112.924
-16000/69092 Loss: 113.851
-19200/69092 Loss: 112.452
-22400/69092 Loss: 112.171
-25600/69092 Loss: 113.169
-28800/69092 Loss: 113.749
-32000/69092 Loss: 111.723
-35200/69092 Loss: 114.696
-38400/69092 Loss: 111.455
-41600/69092 Loss: 111.961
-44800/69092 Loss: 111.725
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-51200/69092 Loss: 114.163
-54400/69092 Loss: 112.770
-57600/69092 Loss: 113.329
-60800/69092 Loss: 112.858
-64000/69092 Loss: 115.067
-67200/69092 Loss: 112.942
-Training time 0:01:58.375331
-Epoch: 54 Average loss: 113.03
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 195)
-0/69092 Loss: 113.161
-3200/69092 Loss: 112.216
-6400/69092 Loss: 114.245
-9600/69092 Loss: 112.978
-12800/69092 Loss: 111.724
-16000/69092 Loss: 112.694
-19200/69092 Loss: 114.218
-22400/69092 Loss: 113.346
-25600/69092 Loss: 113.955
-28800/69092 Loss: 112.076
-32000/69092 Loss: 112.785
-35200/69092 Loss: 113.738
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-41600/69092 Loss: 111.618
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-51200/69092 Loss: 112.329
-54400/69092 Loss: 113.543
-57600/69092 Loss: 112.926
-60800/69092 Loss: 111.947
-64000/69092 Loss: 113.947
-67200/69092 Loss: 113.614
-Training time 0:01:57.921067
-Epoch: 55 Average loss: 112.77
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 196)
-0/69092 Loss: 98.536
-3200/69092 Loss: 113.967
-6400/69092 Loss: 113.678
-9600/69092 Loss: 112.032
-12800/69092 Loss: 113.125
-16000/69092 Loss: 112.978
-19200/69092 Loss: 112.244
-22400/69092 Loss: 111.852
-25600/69092 Loss: 112.795
-28800/69092 Loss: 112.706
-32000/69092 Loss: 112.926
-35200/69092 Loss: 113.740
-38400/69092 Loss: 113.753
-41600/69092 Loss: 112.075
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-48000/69092 Loss: 113.637
-51200/69092 Loss: 114.269
-54400/69092 Loss: 113.479
-57600/69092 Loss: 112.259
-60800/69092 Loss: 113.970
-64000/69092 Loss: 112.493
-67200/69092 Loss: 112.385
-Training time 0:01:57.750009
-Epoch: 56 Average loss: 112.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 197)
-0/69092 Loss: 111.093
-3200/69092 Loss: 113.880
-6400/69092 Loss: 112.762
-9600/69092 Loss: 111.905
-12800/69092 Loss: 114.283
-16000/69092 Loss: 112.578
-19200/69092 Loss: 113.268
-22400/69092 Loss: 113.933
-25600/69092 Loss: 113.673
-28800/69092 Loss: 113.308
-32000/69092 Loss: 113.911
-35200/69092 Loss: 112.552
-38400/69092 Loss: 112.965
-41600/69092 Loss: 112.686
-44800/69092 Loss: 112.111
-48000/69092 Loss: 112.260
-51200/69092 Loss: 113.688
-54400/69092 Loss: 110.520
-57600/69092 Loss: 112.602
-60800/69092 Loss: 111.985
-64000/69092 Loss: 113.892
-67200/69092 Loss: 111.503
-Training time 0:01:57.478060
-Epoch: 57 Average loss: 112.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 198)
-0/69092 Loss: 125.914
-3200/69092 Loss: 113.873
-6400/69092 Loss: 113.726
-9600/69092 Loss: 115.227
-12800/69092 Loss: 110.942
-16000/69092 Loss: 112.000
-19200/69092 Loss: 111.971
-22400/69092 Loss: 113.533
-25600/69092 Loss: 112.320
-28800/69092 Loss: 112.569
-32000/69092 Loss: 111.833
-35200/69092 Loss: 113.412
-38400/69092 Loss: 112.716
-41600/69092 Loss: 112.908
-44800/69092 Loss: 112.154
-48000/69092 Loss: 113.787
-51200/69092 Loss: 112.760
-54400/69092 Loss: 113.770
-57600/69092 Loss: 113.666
-60800/69092 Loss: 112.642
-64000/69092 Loss: 112.393
-67200/69092 Loss: 113.339
-Training time 0:01:57.454998
-Epoch: 58 Average loss: 112.92
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 199)
-0/69092 Loss: 113.249
-3200/69092 Loss: 112.831
-6400/69092 Loss: 113.055
-9600/69092 Loss: 112.264
-12800/69092 Loss: 113.239
-16000/69092 Loss: 114.807
-19200/69092 Loss: 111.828
-22400/69092 Loss: 112.956
-25600/69092 Loss: 112.355
-28800/69092 Loss: 114.544
-32000/69092 Loss: 110.842
-35200/69092 Loss: 113.752
-38400/69092 Loss: 114.699
-41600/69092 Loss: 113.010
-44800/69092 Loss: 113.437
-48000/69092 Loss: 114.445
-51200/69092 Loss: 112.138
-54400/69092 Loss: 112.515
-57600/69092 Loss: 111.633
-60800/69092 Loss: 110.929
-64000/69092 Loss: 112.556
-67200/69092 Loss: 111.946
-Training time 0:01:57.979320
-Epoch: 59 Average loss: 112.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 200)
-0/69092 Loss: 118.560
-3200/69092 Loss: 113.390
-6400/69092 Loss: 115.115
-9600/69092 Loss: 113.015
-12800/69092 Loss: 110.703
-16000/69092 Loss: 112.370
-19200/69092 Loss: 111.884
-22400/69092 Loss: 112.114
-25600/69092 Loss: 113.264
-28800/69092 Loss: 111.140
-32000/69092 Loss: 112.199
-35200/69092 Loss: 111.933
-38400/69092 Loss: 115.160
-41600/69092 Loss: 112.984
-44800/69092 Loss: 113.587
-48000/69092 Loss: 111.713
-51200/69092 Loss: 112.597
-54400/69092 Loss: 114.407
-57600/69092 Loss: 111.939
-60800/69092 Loss: 112.508
-64000/69092 Loss: 112.346
-67200/69092 Loss: 113.437
-Training time 0:01:57.129662
-Epoch: 60 Average loss: 112.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 201)
-0/69092 Loss: 106.730
-3200/69092 Loss: 111.336
-6400/69092 Loss: 112.730
-9600/69092 Loss: 112.802
-12800/69092 Loss: 112.511
-16000/69092 Loss: 112.847
-19200/69092 Loss: 112.665
-22400/69092 Loss: 112.093
-25600/69092 Loss: 111.901
-28800/69092 Loss: 113.367
-32000/69092 Loss: 111.384
-35200/69092 Loss: 114.479
-38400/69092 Loss: 113.044
-41600/69092 Loss: 112.871
-44800/69092 Loss: 111.875
-48000/69092 Loss: 113.852
-51200/69092 Loss: 114.161
-54400/69092 Loss: 113.598
-57600/69092 Loss: 112.559
-60800/69092 Loss: 111.755
-64000/69092 Loss: 113.378
-67200/69092 Loss: 114.233
-Training time 0:01:57.502646
-Epoch: 61 Average loss: 112.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 202)
-0/69092 Loss: 110.732
-3200/69092 Loss: 112.066
-6400/69092 Loss: 110.979
-9600/69092 Loss: 111.672
-12800/69092 Loss: 112.490
-16000/69092 Loss: 110.993
-19200/69092 Loss: 113.076
-22400/69092 Loss: 112.079
-25600/69092 Loss: 113.152
-28800/69092 Loss: 112.425
-32000/69092 Loss: 112.395
-35200/69092 Loss: 112.097
-38400/69092 Loss: 112.282
-41600/69092 Loss: 112.552
-44800/69092 Loss: 112.215
-48000/69092 Loss: 113.234
-51200/69092 Loss: 112.832
-54400/69092 Loss: 113.246
-57600/69092 Loss: 112.555
-60800/69092 Loss: 113.089
-64000/69092 Loss: 114.522
-67200/69092 Loss: 114.644
-Training time 0:01:56.714733
-Epoch: 62 Average loss: 112.66
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 203)
-0/69092 Loss: 125.102
-3200/69092 Loss: 114.078
-6400/69092 Loss: 114.435
-9600/69092 Loss: 113.205
-12800/69092 Loss: 112.800
-16000/69092 Loss: 110.416
-19200/69092 Loss: 113.880
-22400/69092 Loss: 111.915
-25600/69092 Loss: 112.619
-28800/69092 Loss: 112.915
-32000/69092 Loss: 111.166
-35200/69092 Loss: 113.828
-38400/69092 Loss: 113.011
-41600/69092 Loss: 113.585
-44800/69092 Loss: 112.541
-48000/69092 Loss: 113.303
-51200/69092 Loss: 113.605
-54400/69092 Loss: 112.948
-57600/69092 Loss: 110.535
-60800/69092 Loss: 113.138
-64000/69092 Loss: 112.730
-67200/69092 Loss: 112.324
-Training time 0:01:56.675149
-Epoch: 63 Average loss: 112.78
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 204)
-0/69092 Loss: 107.751
-3200/69092 Loss: 113.080
-6400/69092 Loss: 111.117
-9600/69092 Loss: 113.675
-12800/69092 Loss: 111.980
-16000/69092 Loss: 112.702
-19200/69092 Loss: 112.221
-22400/69092 Loss: 114.652
-25600/69092 Loss: 111.969
-28800/69092 Loss: 112.533
-32000/69092 Loss: 113.737
-35200/69092 Loss: 113.486
-38400/69092 Loss: 114.099
-41600/69092 Loss: 111.737
-44800/69092 Loss: 112.225
-48000/69092 Loss: 111.938
-51200/69092 Loss: 114.247
-54400/69092 Loss: 111.343
-57600/69092 Loss: 110.885
-60800/69092 Loss: 113.434
-64000/69092 Loss: 111.832
-67200/69092 Loss: 112.673
-Training time 0:01:57.304249
-Epoch: 64 Average loss: 112.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 205)
-0/69092 Loss: 119.555
-3200/69092 Loss: 111.338
-6400/69092 Loss: 111.867
-9600/69092 Loss: 111.428
-12800/69092 Loss: 111.916
-16000/69092 Loss: 114.298
-19200/69092 Loss: 112.599
-22400/69092 Loss: 113.052
-25600/69092 Loss: 112.724
-28800/69092 Loss: 112.868
-32000/69092 Loss: 115.266
-35200/69092 Loss: 113.234
-38400/69092 Loss: 113.548
-41600/69092 Loss: 111.175
-44800/69092 Loss: 113.618
-48000/69092 Loss: 112.329
-51200/69092 Loss: 111.662
-54400/69092 Loss: 111.407
-57600/69092 Loss: 114.493
-60800/69092 Loss: 113.059
-64000/69092 Loss: 112.701
-67200/69092 Loss: 112.004
-Training time 0:01:56.345180
-Epoch: 65 Average loss: 112.74
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 206)
-0/69092 Loss: 115.853
-3200/69092 Loss: 113.659
-6400/69092 Loss: 112.134
-9600/69092 Loss: 112.609
-12800/69092 Loss: 110.304
-16000/69092 Loss: 114.111
-19200/69092 Loss: 111.842
-22400/69092 Loss: 112.393
-25600/69092 Loss: 111.813
-28800/69092 Loss: 112.723
-32000/69092 Loss: 111.490
-35200/69092 Loss: 112.234
-38400/69092 Loss: 113.776
-41600/69092 Loss: 112.868
-44800/69092 Loss: 111.690
-48000/69092 Loss: 113.217
-51200/69092 Loss: 114.886
-54400/69092 Loss: 113.434
-57600/69092 Loss: 113.007
-60800/69092 Loss: 114.535
-64000/69092 Loss: 113.078
-67200/69092 Loss: 111.854
-Training time 0:01:57.293184
-Epoch: 66 Average loss: 112.77
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 207)
-0/69092 Loss: 121.578
-3200/69092 Loss: 112.014
-6400/69092 Loss: 111.408
-9600/69092 Loss: 114.871
-12800/69092 Loss: 112.817
-16000/69092 Loss: 111.106
-19200/69092 Loss: 111.748
-22400/69092 Loss: 111.850
-25600/69092 Loss: 113.682
-28800/69092 Loss: 112.155
-32000/69092 Loss: 111.136
-35200/69092 Loss: 114.829
-38400/69092 Loss: 109.859
-41600/69092 Loss: 114.682
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-48000/69092 Loss: 113.490
-51200/69092 Loss: 113.920
-54400/69092 Loss: 113.714
-57600/69092 Loss: 112.002
-60800/69092 Loss: 113.716
-64000/69092 Loss: 113.480
-67200/69092 Loss: 112.792
-Training time 0:01:57.191413
-Epoch: 67 Average loss: 112.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 208)
-0/69092 Loss: 112.806
-3200/69092 Loss: 113.068
-6400/69092 Loss: 114.299
-9600/69092 Loss: 113.946
-12800/69092 Loss: 113.426
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-19200/69092 Loss: 111.715
-22400/69092 Loss: 112.805
-25600/69092 Loss: 113.436
-28800/69092 Loss: 111.918
-32000/69092 Loss: 110.794
-35200/69092 Loss: 113.398
-38400/69092 Loss: 112.557
-41600/69092 Loss: 113.606
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-48000/69092 Loss: 112.819
-51200/69092 Loss: 112.972
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-57600/69092 Loss: 114.157
-60800/69092 Loss: 112.676
-64000/69092 Loss: 110.638
-67200/69092 Loss: 112.451
-Training time 0:01:57.261387
-Epoch: 68 Average loss: 112.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 209)
-0/69092 Loss: 113.386
-3200/69092 Loss: 114.170
-6400/69092 Loss: 110.506
-9600/69092 Loss: 113.760
-12800/69092 Loss: 111.703
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-57600/69092 Loss: 113.082
-60800/69092 Loss: 113.034
-64000/69092 Loss: 111.445
-67200/69092 Loss: 113.708
-Training time 0:01:57.350971
-Epoch: 69 Average loss: 112.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 210)
-0/69092 Loss: 125.102
-3200/69092 Loss: 113.944
-6400/69092 Loss: 113.237
-9600/69092 Loss: 112.432
-12800/69092 Loss: 113.079
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-38400/69092 Loss: 113.601
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-57600/69092 Loss: 113.257
-60800/69092 Loss: 112.360
-64000/69092 Loss: 113.661
-67200/69092 Loss: 111.989
-Training time 0:01:57.706960
-Epoch: 70 Average loss: 112.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 211)
-0/69092 Loss: 109.951
-3200/69092 Loss: 111.585
-6400/69092 Loss: 112.386
-9600/69092 Loss: 114.688
-12800/69092 Loss: 112.558
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-19200/69092 Loss: 110.693
-22400/69092 Loss: 112.368
-25600/69092 Loss: 111.187
-28800/69092 Loss: 110.824
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-35200/69092 Loss: 113.049
-38400/69092 Loss: 112.739
-41600/69092 Loss: 114.434
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-51200/69092 Loss: 113.783
-54400/69092 Loss: 114.709
-57600/69092 Loss: 114.544
-60800/69092 Loss: 111.354
-64000/69092 Loss: 113.425
-67200/69092 Loss: 114.318
-Training time 0:01:56.501884
-Epoch: 71 Average loss: 112.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 212)
-0/69092 Loss: 115.720
-3200/69092 Loss: 112.429
-6400/69092 Loss: 110.584
-9600/69092 Loss: 113.790
-12800/69092 Loss: 112.467
-16000/69092 Loss: 112.473
-19200/69092 Loss: 113.625
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-25600/69092 Loss: 111.571
-28800/69092 Loss: 113.934
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-35200/69092 Loss: 113.262
-38400/69092 Loss: 112.649
-41600/69092 Loss: 111.434
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-51200/69092 Loss: 114.455
-54400/69092 Loss: 112.240
-57600/69092 Loss: 113.238
-60800/69092 Loss: 111.717
-64000/69092 Loss: 112.014
-67200/69092 Loss: 111.735
-Training time 0:01:58.567226
-Epoch: 72 Average loss: 112.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 213)
-0/69092 Loss: 111.391
-3200/69092 Loss: 110.615
-6400/69092 Loss: 111.063
-9600/69092 Loss: 113.281
-12800/69092 Loss: 113.252
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-19200/69092 Loss: 112.328
-22400/69092 Loss: 112.919
-25600/69092 Loss: 113.872
-28800/69092 Loss: 112.001
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-35200/69092 Loss: 112.941
-38400/69092 Loss: 113.896
-41600/69092 Loss: 112.776
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-51200/69092 Loss: 112.580
-54400/69092 Loss: 113.257
-57600/69092 Loss: 113.428
-60800/69092 Loss: 111.667
-64000/69092 Loss: 112.985
-67200/69092 Loss: 113.264
-Training time 0:01:59.109756
-Epoch: 73 Average loss: 112.71
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 214)
-0/69092 Loss: 105.142
-3200/69092 Loss: 112.594
-6400/69092 Loss: 110.573
-9600/69092 Loss: 111.890
-12800/69092 Loss: 110.356
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-19200/69092 Loss: 112.690
-22400/69092 Loss: 112.969
-25600/69092 Loss: 113.605
-28800/69092 Loss: 111.696
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-35200/69092 Loss: 111.634
-38400/69092 Loss: 111.312
-41600/69092 Loss: 112.915
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-51200/69092 Loss: 113.176
-54400/69092 Loss: 113.504
-57600/69092 Loss: 113.093
-60800/69092 Loss: 112.143
-64000/69092 Loss: 112.619
-67200/69092 Loss: 113.034
-Training time 0:01:57.727148
-Epoch: 74 Average loss: 112.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 215)
-0/69092 Loss: 106.662
-3200/69092 Loss: 111.343
-6400/69092 Loss: 113.590
-9600/69092 Loss: 113.685
-12800/69092 Loss: 111.313
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-19200/69092 Loss: 111.301
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-25600/69092 Loss: 111.878
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-35200/69092 Loss: 112.539
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-57600/69092 Loss: 113.151
-60800/69092 Loss: 113.402
-64000/69092 Loss: 112.928
-67200/69092 Loss: 111.612
-Training time 0:01:58.503154
-Epoch: 75 Average loss: 112.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 216)
-0/69092 Loss: 109.634
-3200/69092 Loss: 112.922
-6400/69092 Loss: 111.558
-9600/69092 Loss: 111.909
-12800/69092 Loss: 112.965
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-19200/69092 Loss: 109.836
-22400/69092 Loss: 112.878
-25600/69092 Loss: 113.737
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-35200/69092 Loss: 111.559
-38400/69092 Loss: 112.683
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-57600/69092 Loss: 113.720
-60800/69092 Loss: 112.721
-64000/69092 Loss: 111.756
-67200/69092 Loss: 114.433
-Training time 0:01:57.915950
-Epoch: 76 Average loss: 112.54
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 217)
-0/69092 Loss: 110.370
-3200/69092 Loss: 113.485
-6400/69092 Loss: 111.071
-9600/69092 Loss: 112.981
-12800/69092 Loss: 113.115
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-25600/69092 Loss: 113.620
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-57600/69092 Loss: 114.183
-60800/69092 Loss: 110.725
-64000/69092 Loss: 111.686
-67200/69092 Loss: 113.193
-Training time 0:01:58.140659
-Epoch: 77 Average loss: 112.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 218)
-0/69092 Loss: 119.513
-3200/69092 Loss: 112.164
-6400/69092 Loss: 115.295
-9600/69092 Loss: 112.260
-12800/69092 Loss: 115.003
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-22400/69092 Loss: 112.373
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-60800/69092 Loss: 111.004
-64000/69092 Loss: 112.427
-67200/69092 Loss: 110.218
-Training time 0:01:58.233680
-Epoch: 78 Average loss: 112.48
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 219)
-0/69092 Loss: 112.880
-3200/69092 Loss: 111.231
-6400/69092 Loss: 111.246
-9600/69092 Loss: 112.264
-12800/69092 Loss: 111.231
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-57600/69092 Loss: 111.864
-60800/69092 Loss: 113.904
-64000/69092 Loss: 113.190
-67200/69092 Loss: 112.678
-Training time 0:01:58.886331
-Epoch: 79 Average loss: 112.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 220)
-0/69092 Loss: 128.631
-3200/69092 Loss: 112.969
-6400/69092 Loss: 113.126
-9600/69092 Loss: 112.544
-12800/69092 Loss: 114.528
-16000/69092 Loss: 113.954
-19200/69092 Loss: 113.491
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-57600/69092 Loss: 111.130
-60800/69092 Loss: 112.314
-64000/69092 Loss: 111.236
-67200/69092 Loss: 112.486
-Training time 0:01:59.192499
-Epoch: 80 Average loss: 112.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 221)
-0/69092 Loss: 110.983
-3200/69092 Loss: 111.795
-6400/69092 Loss: 114.281
-9600/69092 Loss: 114.297
-12800/69092 Loss: 111.781
-16000/69092 Loss: 113.590
-19200/69092 Loss: 111.945
-22400/69092 Loss: 111.954
-25600/69092 Loss: 114.341
-28800/69092 Loss: 111.819
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-35200/69092 Loss: 112.450
-38400/69092 Loss: 112.232
-41600/69092 Loss: 113.709
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-51200/69092 Loss: 113.746
-54400/69092 Loss: 112.940
-57600/69092 Loss: 111.191
-60800/69092 Loss: 113.764
-64000/69092 Loss: 110.196
-67200/69092 Loss: 113.870
-Training time 0:01:58.037191
-Epoch: 81 Average loss: 112.56
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 222)
-0/69092 Loss: 106.766
-3200/69092 Loss: 110.676
-6400/69092 Loss: 112.739
-9600/69092 Loss: 114.432
-12800/69092 Loss: 111.230
-16000/69092 Loss: 113.746
-19200/69092 Loss: 112.254
-22400/69092 Loss: 110.426
-25600/69092 Loss: 112.839
-28800/69092 Loss: 111.624
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-35200/69092 Loss: 112.184
-38400/69092 Loss: 113.878
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-44800/69092 Loss: 113.243
-48000/69092 Loss: 113.959
-51200/69092 Loss: 111.869
-54400/69092 Loss: 114.875
-57600/69092 Loss: 113.464
-60800/69092 Loss: 111.022
-64000/69092 Loss: 112.748
-67200/69092 Loss: 113.343
-Training time 0:01:57.151935
-Epoch: 82 Average loss: 112.60
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 223)
-0/69092 Loss: 112.459
-3200/69092 Loss: 113.521
-6400/69092 Loss: 112.971
-9600/69092 Loss: 114.863
-12800/69092 Loss: 113.266
-16000/69092 Loss: 111.280
-19200/69092 Loss: 113.492
-22400/69092 Loss: 111.211
-25600/69092 Loss: 112.837
-28800/69092 Loss: 111.302
-32000/69092 Loss: 112.393
-35200/69092 Loss: 113.066
-38400/69092 Loss: 111.966
-41600/69092 Loss: 113.211
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-51200/69092 Loss: 111.012
-54400/69092 Loss: 113.453
-57600/69092 Loss: 113.841
-60800/69092 Loss: 111.124
-64000/69092 Loss: 111.964
-67200/69092 Loss: 112.159
-Training time 0:01:57.861526
-Epoch: 83 Average loss: 112.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 224)
-0/69092 Loss: 112.569
-3200/69092 Loss: 112.110
-6400/69092 Loss: 111.643
-9600/69092 Loss: 111.477
-12800/69092 Loss: 111.725
-16000/69092 Loss: 112.504
-19200/69092 Loss: 114.204
-22400/69092 Loss: 111.431
-25600/69092 Loss: 113.620
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-32000/69092 Loss: 110.583
-35200/69092 Loss: 111.800
-38400/69092 Loss: 111.793
-41600/69092 Loss: 114.786
-44800/69092 Loss: 112.921
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-51200/69092 Loss: 112.890
-54400/69092 Loss: 111.795
-57600/69092 Loss: 115.177
-60800/69092 Loss: 112.495
-64000/69092 Loss: 113.175
-67200/69092 Loss: 113.448
-Training time 0:01:56.508485
-Epoch: 84 Average loss: 112.48
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 225)
-0/69092 Loss: 108.268
-3200/69092 Loss: 113.082
-6400/69092 Loss: 113.174
-9600/69092 Loss: 112.854
-12800/69092 Loss: 111.730
-16000/69092 Loss: 112.991
-19200/69092 Loss: 112.370
-22400/69092 Loss: 112.805
-25600/69092 Loss: 112.939
-28800/69092 Loss: 110.554
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-35200/69092 Loss: 112.305
-38400/69092 Loss: 112.502
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-44800/69092 Loss: 114.760
-48000/69092 Loss: 110.678
-51200/69092 Loss: 111.979
-54400/69092 Loss: 113.421
-57600/69092 Loss: 111.349
-60800/69092 Loss: 111.670
-64000/69092 Loss: 110.914
-67200/69092 Loss: 115.127
-Training time 0:01:57.954607
-Epoch: 85 Average loss: 112.54
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 226)
-0/69092 Loss: 121.964
-3200/69092 Loss: 111.323
-6400/69092 Loss: 112.121
-9600/69092 Loss: 113.463
-12800/69092 Loss: 113.063
-16000/69092 Loss: 112.890
-19200/69092 Loss: 113.526
-22400/69092 Loss: 112.961
-25600/69092 Loss: 111.565
-28800/69092 Loss: 111.969
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-35200/69092 Loss: 112.689
-38400/69092 Loss: 112.469
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-57600/69092 Loss: 111.916
-60800/69092 Loss: 112.957
-64000/69092 Loss: 111.678
-67200/69092 Loss: 110.248
-Training time 0:01:56.265853
-Epoch: 86 Average loss: 112.54
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 227)
-0/69092 Loss: 109.157
-3200/69092 Loss: 113.487
-6400/69092 Loss: 111.748
-9600/69092 Loss: 113.971
-12800/69092 Loss: 113.269
-16000/69092 Loss: 111.564
-19200/69092 Loss: 112.596
-22400/69092 Loss: 113.633
-25600/69092 Loss: 112.949
-28800/69092 Loss: 112.985
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-35200/69092 Loss: 111.751
-38400/69092 Loss: 109.655
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-60800/69092 Loss: 113.125
-64000/69092 Loss: 110.611
-67200/69092 Loss: 111.268
-Training time 0:01:55.365660
-Epoch: 87 Average loss: 112.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 228)
-0/69092 Loss: 116.874
-3200/69092 Loss: 113.586
-6400/69092 Loss: 112.407
-9600/69092 Loss: 112.673
-12800/69092 Loss: 112.387
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-19200/69092 Loss: 112.815
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-35200/69092 Loss: 114.097
-38400/69092 Loss: 113.668
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-57600/69092 Loss: 113.199
-60800/69092 Loss: 112.627
-64000/69092 Loss: 113.202
-67200/69092 Loss: 113.085
-Training time 0:01:57.042352
-Epoch: 88 Average loss: 112.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 229)
-0/69092 Loss: 114.875
-3200/69092 Loss: 112.138
-6400/69092 Loss: 111.415
-9600/69092 Loss: 111.738
-12800/69092 Loss: 110.809
-16000/69092 Loss: 113.625
-19200/69092 Loss: 111.668
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-25600/69092 Loss: 111.754
-28800/69092 Loss: 112.277
-32000/69092 Loss: 113.830
-35200/69092 Loss: 113.253
-38400/69092 Loss: 110.957
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-57600/69092 Loss: 113.775
-60800/69092 Loss: 113.685
-64000/69092 Loss: 114.123
-67200/69092 Loss: 112.675
-Training time 0:01:56.362619
-Epoch: 89 Average loss: 112.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 230)
-0/69092 Loss: 113.780
-3200/69092 Loss: 110.638
-6400/69092 Loss: 110.601
-9600/69092 Loss: 113.225
-12800/69092 Loss: 111.759
-16000/69092 Loss: 111.304
-19200/69092 Loss: 111.822
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-25600/69092 Loss: 114.009
-28800/69092 Loss: 113.582
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-35200/69092 Loss: 112.199
-38400/69092 Loss: 112.879
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-57600/69092 Loss: 111.723
-60800/69092 Loss: 113.068
-64000/69092 Loss: 113.374
-67200/69092 Loss: 111.968
-Training time 0:01:57.460918
-Epoch: 90 Average loss: 112.42
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 231)
-0/69092 Loss: 128.725
-3200/69092 Loss: 113.530
-6400/69092 Loss: 110.484
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-12800/69092 Loss: 111.532
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-57600/69092 Loss: 111.860
-60800/69092 Loss: 114.189
-64000/69092 Loss: 111.349
-67200/69092 Loss: 113.362
-Training time 0:01:57.583728
-Epoch: 91 Average loss: 112.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 232)
-0/69092 Loss: 112.169
-3200/69092 Loss: 112.838
-6400/69092 Loss: 112.009
-9600/69092 Loss: 112.562
-12800/69092 Loss: 110.737
-16000/69092 Loss: 112.397
-19200/69092 Loss: 111.796
-22400/69092 Loss: 113.050
-25600/69092 Loss: 112.202
-28800/69092 Loss: 111.759
-32000/69092 Loss: 112.713
-35200/69092 Loss: 113.893
-38400/69092 Loss: 112.594
-41600/69092 Loss: 114.052
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-48000/69092 Loss: 112.984
-51200/69092 Loss: 111.920
-54400/69092 Loss: 113.424
-57600/69092 Loss: 111.371
-60800/69092 Loss: 110.712
-64000/69092 Loss: 112.798
-67200/69092 Loss: 110.935
-Training time 0:01:56.638898
-Epoch: 92 Average loss: 112.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 233)
-0/69092 Loss: 104.901
-3200/69092 Loss: 113.506
-6400/69092 Loss: 110.374
-9600/69092 Loss: 113.009
-12800/69092 Loss: 113.245
-16000/69092 Loss: 111.917
-19200/69092 Loss: 112.796
-22400/69092 Loss: 110.250
-25600/69092 Loss: 110.654
-28800/69092 Loss: 112.481
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-35200/69092 Loss: 111.767
-38400/69092 Loss: 110.780
-41600/69092 Loss: 113.789
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-51200/69092 Loss: 112.478
-54400/69092 Loss: 114.154
-57600/69092 Loss: 113.327
-60800/69092 Loss: 112.483
-64000/69092 Loss: 113.620
-67200/69092 Loss: 112.331
-Training time 0:01:58.264885
-Epoch: 93 Average loss: 112.40
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 234)
-0/69092 Loss: 102.670
-3200/69092 Loss: 111.317
-6400/69092 Loss: 113.022
-9600/69092 Loss: 112.766
-12800/69092 Loss: 112.702
-16000/69092 Loss: 111.284
-19200/69092 Loss: 110.661
-22400/69092 Loss: 111.850
-25600/69092 Loss: 113.525
-28800/69092 Loss: 113.103
-32000/69092 Loss: 111.017
-35200/69092 Loss: 111.895
-38400/69092 Loss: 113.335
-41600/69092 Loss: 113.631
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-48000/69092 Loss: 113.389
-51200/69092 Loss: 112.564
-54400/69092 Loss: 115.150
-57600/69092 Loss: 112.661
-60800/69092 Loss: 109.555
-64000/69092 Loss: 111.753
-67200/69092 Loss: 113.512
-Training time 0:01:57.561475
-Epoch: 94 Average loss: 112.35
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 235)
-0/69092 Loss: 111.616
-3200/69092 Loss: 111.908
-6400/69092 Loss: 114.024
-9600/69092 Loss: 112.815
-12800/69092 Loss: 112.405
-16000/69092 Loss: 112.368
-19200/69092 Loss: 112.817
-22400/69092 Loss: 112.361
-25600/69092 Loss: 112.703
-28800/69092 Loss: 113.290
-32000/69092 Loss: 112.128
-35200/69092 Loss: 111.069
-38400/69092 Loss: 112.229
-41600/69092 Loss: 111.405
-44800/69092 Loss: 112.453
-48000/69092 Loss: 111.708
-51200/69092 Loss: 110.954
-54400/69092 Loss: 112.996
-57600/69092 Loss: 110.041
-60800/69092 Loss: 113.277
-64000/69092 Loss: 111.377
-67200/69092 Loss: 112.470
-Training time 0:01:57.399955
-Epoch: 95 Average loss: 112.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 236)
-0/69092 Loss: 108.858
-3200/69092 Loss: 112.788
-6400/69092 Loss: 113.286
-9600/69092 Loss: 112.635
-12800/69092 Loss: 111.946
-16000/69092 Loss: 112.513
-19200/69092 Loss: 113.211
-22400/69092 Loss: 112.744
-25600/69092 Loss: 113.010
-28800/69092 Loss: 110.110
-32000/69092 Loss: 114.224
-35200/69092 Loss: 113.327
-38400/69092 Loss: 111.222
-41600/69092 Loss: 112.321
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-48000/69092 Loss: 112.242
-51200/69092 Loss: 114.034
-54400/69092 Loss: 111.427
-57600/69092 Loss: 112.722
-60800/69092 Loss: 110.585
-64000/69092 Loss: 110.285
-67200/69092 Loss: 112.110
-Training time 0:01:57.737669
-Epoch: 96 Average loss: 112.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 237)
-0/69092 Loss: 113.734
-3200/69092 Loss: 112.927
-6400/69092 Loss: 110.756
-9600/69092 Loss: 112.624
-12800/69092 Loss: 113.738
-16000/69092 Loss: 113.159
-19200/69092 Loss: 110.637
-22400/69092 Loss: 111.946
-25600/69092 Loss: 111.776
-28800/69092 Loss: 112.537
-32000/69092 Loss: 111.712
-35200/69092 Loss: 111.581
-38400/69092 Loss: 113.931
-41600/69092 Loss: 113.069
-44800/69092 Loss: 113.205
-48000/69092 Loss: 111.657
-51200/69092 Loss: 112.759
-54400/69092 Loss: 113.272
-57600/69092 Loss: 112.965
-60800/69092 Loss: 113.063
-64000/69092 Loss: 112.486
-67200/69092 Loss: 113.419
-Training time 0:01:58.457412
-Epoch: 97 Average loss: 112.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 238)
-0/69092 Loss: 108.410
-3200/69092 Loss: 113.605
-6400/69092 Loss: 112.954
-9600/69092 Loss: 111.622
-12800/69092 Loss: 112.280
-16000/69092 Loss: 112.006
-19200/69092 Loss: 111.360
-22400/69092 Loss: 112.516
-25600/69092 Loss: 112.452
-28800/69092 Loss: 111.874
-32000/69092 Loss: 113.323
-35200/69092 Loss: 111.920
-38400/69092 Loss: 112.724
-41600/69092 Loss: 111.703
-44800/69092 Loss: 112.722
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-57600/69092 Loss: 112.676
-60800/69092 Loss: 113.212
-64000/69092 Loss: 111.363
-67200/69092 Loss: 112.736
-Training time 0:01:59.224965
-Epoch: 98 Average loss: 112.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 239)
-0/69092 Loss: 111.845
-3200/69092 Loss: 113.693
-6400/69092 Loss: 111.175
-9600/69092 Loss: 113.933
-12800/69092 Loss: 112.771
-16000/69092 Loss: 110.274
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-25600/69092 Loss: 111.887
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-35200/69092 Loss: 112.362
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-51200/69092 Loss: 114.248
-54400/69092 Loss: 113.388
-57600/69092 Loss: 113.971
-60800/69092 Loss: 112.745
-64000/69092 Loss: 111.748
-67200/69092 Loss: 111.991
-Training time 0:01:58.678730
-Epoch: 99 Average loss: 112.42
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 240)
-0/69092 Loss: 110.661
-3200/69092 Loss: 112.339
-6400/69092 Loss: 111.748
-9600/69092 Loss: 111.444
-12800/69092 Loss: 111.422
-16000/69092 Loss: 111.832
-19200/69092 Loss: 110.530
-22400/69092 Loss: 112.211
-25600/69092 Loss: 112.419
-28800/69092 Loss: 113.769
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-35200/69092 Loss: 112.705
-38400/69092 Loss: 110.066
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-57600/69092 Loss: 112.564
-60800/69092 Loss: 113.803
-64000/69092 Loss: 112.737
-67200/69092 Loss: 113.359
-Training time 0:01:56.680057
-Epoch: 100 Average loss: 112.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 241)
-0/69092 Loss: 110.930
-3200/69092 Loss: 112.815
-6400/69092 Loss: 112.960
-9600/69092 Loss: 113.546
-12800/69092 Loss: 112.789
-16000/69092 Loss: 112.152
-19200/69092 Loss: 112.332
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-25600/69092 Loss: 110.187
-28800/69092 Loss: 111.092
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-35200/69092 Loss: 110.721
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-57600/69092 Loss: 112.477
-60800/69092 Loss: 111.280
-64000/69092 Loss: 111.140
-67200/69092 Loss: 112.843
-Training time 0:01:57.646950
-Epoch: 101 Average loss: 112.32
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 242)
-0/69092 Loss: 115.128
-3200/69092 Loss: 112.378
-6400/69092 Loss: 110.980
-9600/69092 Loss: 113.601
-12800/69092 Loss: 111.631
-16000/69092 Loss: 111.741
-19200/69092 Loss: 114.039
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-28800/69092 Loss: 112.469
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-57600/69092 Loss: 111.419
-60800/69092 Loss: 112.648
-64000/69092 Loss: 112.654
-67200/69092 Loss: 110.848
-Training time 0:01:57.675385
-Epoch: 102 Average loss: 112.45
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 243)
-0/69092 Loss: 122.110
-3200/69092 Loss: 111.696
-6400/69092 Loss: 113.218
-9600/69092 Loss: 111.855
-12800/69092 Loss: 111.998
-16000/69092 Loss: 111.435
-19200/69092 Loss: 114.606
-22400/69092 Loss: 111.574
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-35200/69092 Loss: 111.244
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-51200/69092 Loss: 111.696
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-57600/69092 Loss: 114.864
-60800/69092 Loss: 112.273
-64000/69092 Loss: 113.124
-67200/69092 Loss: 112.506
-Training time 0:01:57.176206
-Epoch: 103 Average loss: 112.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 244)
-0/69092 Loss: 107.943
-3200/69092 Loss: 112.101
-6400/69092 Loss: 114.077
-9600/69092 Loss: 112.517
-12800/69092 Loss: 112.820
-16000/69092 Loss: 114.419
-19200/69092 Loss: 111.560
-22400/69092 Loss: 112.843
-25600/69092 Loss: 112.677
-28800/69092 Loss: 111.454
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-35200/69092 Loss: 111.730
-38400/69092 Loss: 112.198
-41600/69092 Loss: 111.994
-44800/69092 Loss: 111.727
-48000/69092 Loss: 111.415
-51200/69092 Loss: 114.657
-54400/69092 Loss: 111.494
-57600/69092 Loss: 112.025
-60800/69092 Loss: 111.606
-64000/69092 Loss: 111.702
-67200/69092 Loss: 110.875
-Training time 0:01:57.934002
-Epoch: 104 Average loss: 112.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 245)
-0/69092 Loss: 118.837
-3200/69092 Loss: 112.914
-6400/69092 Loss: 112.777
-9600/69092 Loss: 113.202
-12800/69092 Loss: 112.745
-16000/69092 Loss: 112.602
-19200/69092 Loss: 111.085
-22400/69092 Loss: 111.904
-25600/69092 Loss: 113.905
-28800/69092 Loss: 112.016
-32000/69092 Loss: 114.198
-35200/69092 Loss: 112.954
-38400/69092 Loss: 112.641
-41600/69092 Loss: 110.650
-44800/69092 Loss: 110.040
-48000/69092 Loss: 110.839
-51200/69092 Loss: 111.753
-54400/69092 Loss: 111.339
-57600/69092 Loss: 112.851
-60800/69092 Loss: 110.588
-64000/69092 Loss: 112.322
-67200/69092 Loss: 111.523
-Training time 0:01:56.932822
-Epoch: 105 Average loss: 112.21
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 246)
-0/69092 Loss: 119.116
-3200/69092 Loss: 112.507
-6400/69092 Loss: 114.622
-9600/69092 Loss: 111.569
-12800/69092 Loss: 112.558
-16000/69092 Loss: 111.289
-19200/69092 Loss: 110.495
-22400/69092 Loss: 111.210
-25600/69092 Loss: 113.024
-28800/69092 Loss: 113.384
-32000/69092 Loss: 112.152
-35200/69092 Loss: 112.843
-38400/69092 Loss: 113.555
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-44800/69092 Loss: 112.075
-48000/69092 Loss: 111.592
-51200/69092 Loss: 113.754
-54400/69092 Loss: 112.188
-57600/69092 Loss: 112.554
-60800/69092 Loss: 112.263
-64000/69092 Loss: 111.831
-67200/69092 Loss: 110.805
-Training time 0:01:56.950941
-Epoch: 106 Average loss: 112.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 247)
-0/69092 Loss: 104.412
-3200/69092 Loss: 111.679
-6400/69092 Loss: 112.090
-9600/69092 Loss: 111.886
-12800/69092 Loss: 112.062
-16000/69092 Loss: 112.733
-19200/69092 Loss: 112.301
-22400/69092 Loss: 112.985
-25600/69092 Loss: 113.072
-28800/69092 Loss: 112.380
-32000/69092 Loss: 112.159
-35200/69092 Loss: 110.853
-38400/69092 Loss: 113.615
-41600/69092 Loss: 111.124
-44800/69092 Loss: 112.985
-48000/69092 Loss: 111.388
-51200/69092 Loss: 114.311
-54400/69092 Loss: 112.027
-57600/69092 Loss: 111.420
-60800/69092 Loss: 111.063
-64000/69092 Loss: 112.437
-67200/69092 Loss: 113.936
-Training time 0:01:57.014313
-Epoch: 107 Average loss: 112.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 248)
-0/69092 Loss: 115.203
-3200/69092 Loss: 112.016
-6400/69092 Loss: 111.749
-9600/69092 Loss: 111.528
-12800/69092 Loss: 112.093
-16000/69092 Loss: 113.914
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-25600/69092 Loss: 111.981
-28800/69092 Loss: 112.209
-32000/69092 Loss: 111.937
-35200/69092 Loss: 111.763
-38400/69092 Loss: 112.318
-41600/69092 Loss: 112.454
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-57600/69092 Loss: 113.179
-60800/69092 Loss: 112.642
-64000/69092 Loss: 111.958
-67200/69092 Loss: 112.401
-Training time 0:01:57.301862
-Epoch: 108 Average loss: 112.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 249)
-0/69092 Loss: 122.546
-3200/69092 Loss: 113.128
-6400/69092 Loss: 112.474
-9600/69092 Loss: 110.420
-12800/69092 Loss: 112.803
-16000/69092 Loss: 110.452
-19200/69092 Loss: 112.079
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-25600/69092 Loss: 112.415
-28800/69092 Loss: 112.520
-32000/69092 Loss: 110.496
-35200/69092 Loss: 112.416
-38400/69092 Loss: 111.564
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-48000/69092 Loss: 113.670
-51200/69092 Loss: 111.537
-54400/69092 Loss: 113.272
-57600/69092 Loss: 113.247
-60800/69092 Loss: 112.408
-64000/69092 Loss: 112.795
-67200/69092 Loss: 112.773
-Training time 0:01:56.308761
-Epoch: 109 Average loss: 112.21
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 250)
-0/69092 Loss: 98.938
-3200/69092 Loss: 111.445
-6400/69092 Loss: 113.297
-9600/69092 Loss: 112.665
-12800/69092 Loss: 112.216
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-19200/69092 Loss: 113.707
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-25600/69092 Loss: 112.643
-28800/69092 Loss: 111.430
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-35200/69092 Loss: 112.830
-38400/69092 Loss: 112.370
-41600/69092 Loss: 110.079
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-48000/69092 Loss: 109.858
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-57600/69092 Loss: 114.180
-60800/69092 Loss: 111.812
-64000/69092 Loss: 112.274
-67200/69092 Loss: 113.646
-Training time 0:01:56.748136
-Epoch: 110 Average loss: 112.27
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 251)
-0/69092 Loss: 109.140
-3200/69092 Loss: 112.765
-6400/69092 Loss: 113.035
-9600/69092 Loss: 111.078
-12800/69092 Loss: 113.376
-16000/69092 Loss: 113.253
-19200/69092 Loss: 111.920
-22400/69092 Loss: 111.738
-25600/69092 Loss: 109.345
-28800/69092 Loss: 111.622
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-35200/69092 Loss: 111.012
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-44800/69092 Loss: 113.685
-48000/69092 Loss: 111.998
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-57600/69092 Loss: 112.257
-60800/69092 Loss: 111.227
-64000/69092 Loss: 112.463
-67200/69092 Loss: 111.712
-Training time 0:01:56.515083
-Epoch: 111 Average loss: 112.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 252)
-0/69092 Loss: 110.661
-3200/69092 Loss: 111.328
-6400/69092 Loss: 111.800
-9600/69092 Loss: 112.689
-12800/69092 Loss: 111.939
-16000/69092 Loss: 111.356
-19200/69092 Loss: 113.590
-22400/69092 Loss: 110.786
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-35200/69092 Loss: 112.562
-38400/69092 Loss: 112.656
-41600/69092 Loss: 110.836
-44800/69092 Loss: 112.719
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-57600/69092 Loss: 115.000
-60800/69092 Loss: 113.152
-64000/69092 Loss: 110.856
-67200/69092 Loss: 111.474
-Training time 0:01:56.597435
-Epoch: 112 Average loss: 112.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 253)
-0/69092 Loss: 109.960
-3200/69092 Loss: 110.964
-6400/69092 Loss: 112.876
-9600/69092 Loss: 110.982
-12800/69092 Loss: 113.332
-16000/69092 Loss: 110.655
-19200/69092 Loss: 112.564
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-25600/69092 Loss: 112.795
-28800/69092 Loss: 112.056
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-35200/69092 Loss: 111.929
-38400/69092 Loss: 110.701
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-48000/69092 Loss: 111.996
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-57600/69092 Loss: 112.899
-60800/69092 Loss: 111.659
-64000/69092 Loss: 111.178
-67200/69092 Loss: 113.213
-Training time 0:01:57.918296
-Epoch: 113 Average loss: 112.12
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 254)
-0/69092 Loss: 118.086
-3200/69092 Loss: 111.598
-6400/69092 Loss: 114.653
-9600/69092 Loss: 112.980
-12800/69092 Loss: 112.017
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-28800/69092 Loss: 111.878
-32000/69092 Loss: 112.721
-35200/69092 Loss: 110.890
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-54400/69092 Loss: 112.831
-57600/69092 Loss: 111.676
-60800/69092 Loss: 111.244
-64000/69092 Loss: 112.928
-67200/69092 Loss: 112.688
-Training time 0:01:56.785403
-Epoch: 114 Average loss: 112.12
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 255)
-0/69092 Loss: 105.504
-3200/69092 Loss: 111.509
-6400/69092 Loss: 110.423
-9600/69092 Loss: 111.608
-12800/69092 Loss: 112.015
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-28800/69092 Loss: 113.714
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-35200/69092 Loss: 113.042
-38400/69092 Loss: 113.132
-41600/69092 Loss: 112.322
-44800/69092 Loss: 114.220
-48000/69092 Loss: 113.080
-51200/69092 Loss: 110.365
-54400/69092 Loss: 109.480
-57600/69092 Loss: 112.605
-60800/69092 Loss: 111.615
-64000/69092 Loss: 113.207
-67200/69092 Loss: 114.524
-Training time 0:01:57.574441
-Epoch: 115 Average loss: 112.20
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 256)
-0/69092 Loss: 112.621
-3200/69092 Loss: 111.410
-6400/69092 Loss: 113.177
-9600/69092 Loss: 111.835
-12800/69092 Loss: 113.086
-16000/69092 Loss: 110.949
-19200/69092 Loss: 111.810
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-25600/69092 Loss: 114.276
-28800/69092 Loss: 111.165
-32000/69092 Loss: 112.905
-35200/69092 Loss: 111.984
-38400/69092 Loss: 112.424
-41600/69092 Loss: 111.574
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-51200/69092 Loss: 112.245
-54400/69092 Loss: 113.529
-57600/69092 Loss: 112.601
-60800/69092 Loss: 112.377
-64000/69092 Loss: 111.574
-67200/69092 Loss: 111.307
-Training time 0:01:57.667118
-Epoch: 116 Average loss: 112.12
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 257)
-0/69092 Loss: 107.236
-3200/69092 Loss: 111.610
-6400/69092 Loss: 112.600
-9600/69092 Loss: 111.004
-12800/69092 Loss: 111.948
-16000/69092 Loss: 110.685
-19200/69092 Loss: 110.344
-22400/69092 Loss: 113.975
-25600/69092 Loss: 112.237
-28800/69092 Loss: 112.586
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-35200/69092 Loss: 111.315
-38400/69092 Loss: 112.652
-41600/69092 Loss: 113.324
-44800/69092 Loss: 111.615
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-51200/69092 Loss: 112.039
-54400/69092 Loss: 113.206
-57600/69092 Loss: 112.907
-60800/69092 Loss: 111.778
-64000/69092 Loss: 113.576
-67200/69092 Loss: 109.730
-Training time 0:01:58.268045
-Epoch: 117 Average loss: 112.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 258)
-0/69092 Loss: 119.309
-3200/69092 Loss: 109.940
-6400/69092 Loss: 110.648
-9600/69092 Loss: 112.478
-12800/69092 Loss: 112.512
-16000/69092 Loss: 111.950
-19200/69092 Loss: 112.965
-22400/69092 Loss: 113.168
-25600/69092 Loss: 112.653
-28800/69092 Loss: 111.329
-32000/69092 Loss: 112.938
-35200/69092 Loss: 112.107
-38400/69092 Loss: 112.749
-41600/69092 Loss: 111.167
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-48000/69092 Loss: 112.599
-51200/69092 Loss: 111.117
-54400/69092 Loss: 111.381
-57600/69092 Loss: 112.368
-60800/69092 Loss: 111.555
-64000/69092 Loss: 113.408
-67200/69092 Loss: 112.892
-Training time 0:01:58.493072
-Epoch: 118 Average loss: 112.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 259)
-0/69092 Loss: 110.086
-3200/69092 Loss: 113.020
-6400/69092 Loss: 111.594
-9600/69092 Loss: 109.827
-12800/69092 Loss: 112.473
-16000/69092 Loss: 113.471
-19200/69092 Loss: 112.421
-22400/69092 Loss: 113.545
-25600/69092 Loss: 112.571
-28800/69092 Loss: 111.506
-32000/69092 Loss: 111.066
-35200/69092 Loss: 111.101
-38400/69092 Loss: 112.553
-41600/69092 Loss: 112.108
-44800/69092 Loss: 112.328
-48000/69092 Loss: 113.641
-51200/69092 Loss: 111.265
-54400/69092 Loss: 111.934
-57600/69092 Loss: 113.249
-60800/69092 Loss: 111.569
-64000/69092 Loss: 111.621
-67200/69092 Loss: 110.803
-Training time 0:01:57.863728
-Epoch: 119 Average loss: 112.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 260)
-0/69092 Loss: 107.729
-3200/69092 Loss: 111.098
-6400/69092 Loss: 112.683
-9600/69092 Loss: 114.338
-12800/69092 Loss: 111.751
-16000/69092 Loss: 111.751
-19200/69092 Loss: 111.278
-22400/69092 Loss: 110.961
-25600/69092 Loss: 112.530
-28800/69092 Loss: 114.040
-32000/69092 Loss: 112.281
-35200/69092 Loss: 112.416
-38400/69092 Loss: 111.593
-41600/69092 Loss: 110.715
-44800/69092 Loss: 112.425
-48000/69092 Loss: 111.945
-51200/69092 Loss: 113.088
-54400/69092 Loss: 113.703
-57600/69092 Loss: 113.058
-60800/69092 Loss: 111.201
-64000/69092 Loss: 109.807
-67200/69092 Loss: 112.162
-Training time 0:01:58.318562
-Epoch: 120 Average loss: 112.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 261)
-0/69092 Loss: 115.668
-3200/69092 Loss: 113.417
-6400/69092 Loss: 111.360
-9600/69092 Loss: 112.868
-12800/69092 Loss: 111.201
-16000/69092 Loss: 112.403
-19200/69092 Loss: 111.328
-22400/69092 Loss: 111.108
-25600/69092 Loss: 111.842
-28800/69092 Loss: 111.713
-32000/69092 Loss: 113.858
-35200/69092 Loss: 111.048
-38400/69092 Loss: 110.803
-41600/69092 Loss: 112.040
-44800/69092 Loss: 112.643
-48000/69092 Loss: 111.528
-51200/69092 Loss: 113.667
-54400/69092 Loss: 111.525
-57600/69092 Loss: 112.965
-60800/69092 Loss: 112.586
-64000/69092 Loss: 109.281
-67200/69092 Loss: 113.376
-Training time 0:01:59.138927
-Epoch: 121 Average loss: 112.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 262)
-0/69092 Loss: 102.175
-3200/69092 Loss: 109.960
-6400/69092 Loss: 112.384
-9600/69092 Loss: 110.948
-12800/69092 Loss: 111.415
-16000/69092 Loss: 113.569
-19200/69092 Loss: 111.811
-22400/69092 Loss: 112.280
-25600/69092 Loss: 113.318
-28800/69092 Loss: 111.813
-32000/69092 Loss: 112.473
-35200/69092 Loss: 111.266
-38400/69092 Loss: 113.206
-41600/69092 Loss: 112.823
-44800/69092 Loss: 110.928
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-51200/69092 Loss: 113.370
-54400/69092 Loss: 112.357
-57600/69092 Loss: 111.404
-60800/69092 Loss: 111.087
-64000/69092 Loss: 110.713
-67200/69092 Loss: 111.838
-Training time 0:01:58.268645
-Epoch: 122 Average loss: 111.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 263)
-0/69092 Loss: 114.347
-3200/69092 Loss: 112.021
-6400/69092 Loss: 110.714
-9600/69092 Loss: 112.481
-12800/69092 Loss: 112.010
-16000/69092 Loss: 112.858
-19200/69092 Loss: 114.146
-22400/69092 Loss: 113.468
-25600/69092 Loss: 113.793
-28800/69092 Loss: 110.912
-32000/69092 Loss: 112.297
-35200/69092 Loss: 110.685
-38400/69092 Loss: 111.899
-41600/69092 Loss: 111.598
-44800/69092 Loss: 110.782
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-51200/69092 Loss: 112.468
-54400/69092 Loss: 114.146
-57600/69092 Loss: 113.223
-60800/69092 Loss: 110.101
-64000/69092 Loss: 112.696
-67200/69092 Loss: 112.284
-Training time 0:01:58.717772
-Epoch: 123 Average loss: 112.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 264)
-0/69092 Loss: 114.796
-3200/69092 Loss: 111.597
-6400/69092 Loss: 112.164
-9600/69092 Loss: 112.020
-12800/69092 Loss: 113.329
-16000/69092 Loss: 112.340
-19200/69092 Loss: 113.006
-22400/69092 Loss: 112.646
-25600/69092 Loss: 111.458
-28800/69092 Loss: 111.624
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-35200/69092 Loss: 113.653
-38400/69092 Loss: 110.712
-41600/69092 Loss: 112.988
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-48000/69092 Loss: 109.792
-51200/69092 Loss: 113.108
-54400/69092 Loss: 112.833
-57600/69092 Loss: 113.314
-60800/69092 Loss: 111.704
-64000/69092 Loss: 110.928
-67200/69092 Loss: 112.795
-Training time 0:01:58.193320
-Epoch: 124 Average loss: 112.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 265)
-0/69092 Loss: 108.997
-3200/69092 Loss: 111.090
-6400/69092 Loss: 111.651
-9600/69092 Loss: 112.592
-12800/69092 Loss: 113.259
-16000/69092 Loss: 111.718
-19200/69092 Loss: 111.622
-22400/69092 Loss: 110.863
-25600/69092 Loss: 111.885
-28800/69092 Loss: 110.308
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-35200/69092 Loss: 110.378
-38400/69092 Loss: 112.791
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-54400/69092 Loss: 113.381
-57600/69092 Loss: 111.620
-60800/69092 Loss: 110.666
-64000/69092 Loss: 111.954
-67200/69092 Loss: 111.739
-Training time 0:01:57.941828
-Epoch: 125 Average loss: 111.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 266)
-0/69092 Loss: 123.242
-3200/69092 Loss: 110.574
-6400/69092 Loss: 114.011
-9600/69092 Loss: 111.405
-12800/69092 Loss: 111.924
-16000/69092 Loss: 112.379
-19200/69092 Loss: 112.513
-22400/69092 Loss: 112.633
-25600/69092 Loss: 111.569
-28800/69092 Loss: 109.637
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-35200/69092 Loss: 112.171
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-41600/69092 Loss: 113.604
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-54400/69092 Loss: 113.540
-57600/69092 Loss: 113.718
-60800/69092 Loss: 112.365
-64000/69092 Loss: 112.068
-67200/69092 Loss: 113.282
-Training time 0:01:58.633467
-Epoch: 126 Average loss: 112.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 267)
-0/69092 Loss: 118.893
-3200/69092 Loss: 112.783
-6400/69092 Loss: 111.837
-9600/69092 Loss: 112.242
-12800/69092 Loss: 112.555
-16000/69092 Loss: 113.339
-19200/69092 Loss: 112.081
-22400/69092 Loss: 111.319
-25600/69092 Loss: 111.447
-28800/69092 Loss: 113.518
-32000/69092 Loss: 112.991
-35200/69092 Loss: 112.440
-38400/69092 Loss: 111.251
-41600/69092 Loss: 111.765
-44800/69092 Loss: 109.843
-48000/69092 Loss: 110.788
-51200/69092 Loss: 110.088
-54400/69092 Loss: 112.768
-57600/69092 Loss: 114.083
-60800/69092 Loss: 112.801
-64000/69092 Loss: 112.033
-67200/69092 Loss: 112.089
-Training time 0:01:57.055968
-Epoch: 127 Average loss: 112.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 268)
-0/69092 Loss: 110.885
-3200/69092 Loss: 112.572
-6400/69092 Loss: 111.447
-9600/69092 Loss: 112.685
-12800/69092 Loss: 111.153
-16000/69092 Loss: 110.326
-19200/69092 Loss: 113.495
-22400/69092 Loss: 111.638
-25600/69092 Loss: 112.952
-28800/69092 Loss: 109.724
-32000/69092 Loss: 112.432
-35200/69092 Loss: 114.034
-38400/69092 Loss: 112.584
-41600/69092 Loss: 112.523
-44800/69092 Loss: 110.940
-48000/69092 Loss: 111.957
-51200/69092 Loss: 110.980
-54400/69092 Loss: 111.456
-57600/69092 Loss: 109.690
-60800/69092 Loss: 112.595
-64000/69092 Loss: 114.273
-67200/69092 Loss: 112.951
-Training time 0:01:58.018575
-Epoch: 128 Average loss: 112.03
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 269)
-0/69092 Loss: 109.695
-3200/69092 Loss: 111.374
-6400/69092 Loss: 111.361
-9600/69092 Loss: 112.371
-12800/69092 Loss: 113.973
-16000/69092 Loss: 112.413
-19200/69092 Loss: 112.429
-22400/69092 Loss: 112.522
-25600/69092 Loss: 111.950
-28800/69092 Loss: 112.936
-32000/69092 Loss: 110.791
-35200/69092 Loss: 111.810
-38400/69092 Loss: 111.177
-41600/69092 Loss: 110.538
-44800/69092 Loss: 111.373
-48000/69092 Loss: 113.135
-51200/69092 Loss: 111.911
-54400/69092 Loss: 110.473
-57600/69092 Loss: 112.694
-60800/69092 Loss: 111.446
-64000/69092 Loss: 112.469
-67200/69092 Loss: 112.830
-Training time 0:01:57.592824
-Epoch: 129 Average loss: 112.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 270)
-0/69092 Loss: 110.452
-3200/69092 Loss: 110.466
-6400/69092 Loss: 111.432
-9600/69092 Loss: 112.794
-12800/69092 Loss: 112.774
-16000/69092 Loss: 109.937
-19200/69092 Loss: 112.586
-22400/69092 Loss: 112.148
-25600/69092 Loss: 113.248
-28800/69092 Loss: 109.771
-32000/69092 Loss: 111.443
-35200/69092 Loss: 109.777
-38400/69092 Loss: 111.336
-41600/69092 Loss: 112.573
-44800/69092 Loss: 113.080
-48000/69092 Loss: 114.813
-51200/69092 Loss: 111.562
-54400/69092 Loss: 113.657
-57600/69092 Loss: 112.000
-60800/69092 Loss: 112.768
-64000/69092 Loss: 110.541
-67200/69092 Loss: 113.268
-Training time 0:01:57.598200
-Epoch: 130 Average loss: 112.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 271)
-0/69092 Loss: 105.434
-3200/69092 Loss: 111.917
-6400/69092 Loss: 111.433
-9600/69092 Loss: 112.869
-12800/69092 Loss: 111.079
-16000/69092 Loss: 110.561
-19200/69092 Loss: 113.303
-22400/69092 Loss: 113.539
-25600/69092 Loss: 110.971
-28800/69092 Loss: 111.493
-32000/69092 Loss: 113.151
-35200/69092 Loss: 111.416
-38400/69092 Loss: 113.769
-41600/69092 Loss: 112.592
-44800/69092 Loss: 112.700
-48000/69092 Loss: 110.438
-51200/69092 Loss: 111.709
-54400/69092 Loss: 112.481
-57600/69092 Loss: 111.177
-60800/69092 Loss: 111.158
-64000/69092 Loss: 111.630
-67200/69092 Loss: 112.780
-Training time 0:01:57.694994
-Epoch: 131 Average loss: 111.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 272)
-0/69092 Loss: 112.573
-3200/69092 Loss: 111.776
-6400/69092 Loss: 112.478
-9600/69092 Loss: 111.609
-12800/69092 Loss: 110.617
-16000/69092 Loss: 111.480
-19200/69092 Loss: 112.747
-22400/69092 Loss: 113.442
-25600/69092 Loss: 112.510
-28800/69092 Loss: 112.243
-32000/69092 Loss: 113.979
-35200/69092 Loss: 111.217
-38400/69092 Loss: 112.713
-41600/69092 Loss: 110.079
-44800/69092 Loss: 111.208
-48000/69092 Loss: 114.122
-51200/69092 Loss: 111.058
-54400/69092 Loss: 111.174
-57600/69092 Loss: 111.158
-60800/69092 Loss: 110.395
-64000/69092 Loss: 113.077
-67200/69092 Loss: 111.988
-Training time 0:01:58.058514
-Epoch: 132 Average loss: 111.94
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 273)
-0/69092 Loss: 121.018
-3200/69092 Loss: 112.661
-6400/69092 Loss: 112.562
-9600/69092 Loss: 110.916
-12800/69092 Loss: 112.616
-16000/69092 Loss: 110.914
-19200/69092 Loss: 112.020
-22400/69092 Loss: 111.536
-25600/69092 Loss: 110.976
-28800/69092 Loss: 111.438
-32000/69092 Loss: 112.881
-35200/69092 Loss: 111.717
-38400/69092 Loss: 110.565
-41600/69092 Loss: 111.493
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-48000/69092 Loss: 110.814
-51200/69092 Loss: 113.235
-54400/69092 Loss: 111.401
-57600/69092 Loss: 113.059
-60800/69092 Loss: 112.742
-64000/69092 Loss: 112.204
-67200/69092 Loss: 112.430
-Training time 0:01:56.792400
-Epoch: 133 Average loss: 111.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 274)
-0/69092 Loss: 110.742
-3200/69092 Loss: 113.340
-6400/69092 Loss: 113.245
-9600/69092 Loss: 110.026
-12800/69092 Loss: 113.185
-16000/69092 Loss: 111.091
-19200/69092 Loss: 111.806
-22400/69092 Loss: 111.200
-25600/69092 Loss: 111.964
-28800/69092 Loss: 109.868
-32000/69092 Loss: 111.438
-35200/69092 Loss: 112.407
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-51200/69092 Loss: 112.860
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-57600/69092 Loss: 112.700
-60800/69092 Loss: 113.316
-64000/69092 Loss: 110.939
-67200/69092 Loss: 111.988
-Training time 0:01:57.272370
-Epoch: 134 Average loss: 111.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 275)
-0/69092 Loss: 127.176
-3200/69092 Loss: 111.731
-6400/69092 Loss: 110.770
-9600/69092 Loss: 112.029
-12800/69092 Loss: 112.023
-16000/69092 Loss: 112.091
-19200/69092 Loss: 112.280
-22400/69092 Loss: 111.250
-25600/69092 Loss: 112.418
-28800/69092 Loss: 111.083
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-35200/69092 Loss: 111.939
-38400/69092 Loss: 113.224
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-54400/69092 Loss: 113.043
-57600/69092 Loss: 111.940
-60800/69092 Loss: 111.944
-64000/69092 Loss: 111.805
-67200/69092 Loss: 111.653
-Training time 0:01:57.058910
-Epoch: 135 Average loss: 112.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 276)
-0/69092 Loss: 118.687
-3200/69092 Loss: 112.916
-6400/69092 Loss: 112.381
-9600/69092 Loss: 114.137
-12800/69092 Loss: 111.492
-16000/69092 Loss: 109.961
-19200/69092 Loss: 113.096
-22400/69092 Loss: 111.977
-25600/69092 Loss: 111.565
-28800/69092 Loss: 111.526
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-35200/69092 Loss: 111.367
-38400/69092 Loss: 110.970
-41600/69092 Loss: 112.607
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-54400/69092 Loss: 110.527
-57600/69092 Loss: 111.736
-60800/69092 Loss: 110.270
-64000/69092 Loss: 113.704
-67200/69092 Loss: 111.488
-Training time 0:01:56.959955
-Epoch: 136 Average loss: 112.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 277)
-0/69092 Loss: 109.122
-3200/69092 Loss: 111.330
-6400/69092 Loss: 111.645
-9600/69092 Loss: 113.376
-12800/69092 Loss: 110.622
-16000/69092 Loss: 111.457
-19200/69092 Loss: 113.859
-22400/69092 Loss: 111.271
-25600/69092 Loss: 109.988
-28800/69092 Loss: 110.879
-32000/69092 Loss: 112.654
-35200/69092 Loss: 113.028
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-48000/69092 Loss: 113.784
-51200/69092 Loss: 113.707
-54400/69092 Loss: 112.856
-57600/69092 Loss: 112.763
-60800/69092 Loss: 113.247
-64000/69092 Loss: 112.301
-67200/69092 Loss: 111.590
-Training time 0:01:57.133902
-Epoch: 137 Average loss: 111.93
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 278)
-0/69092 Loss: 107.406
-3200/69092 Loss: 112.618
-6400/69092 Loss: 113.154
-9600/69092 Loss: 112.063
-12800/69092 Loss: 112.073
-16000/69092 Loss: 111.946
-19200/69092 Loss: 112.897
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-35200/69092 Loss: 110.965
-38400/69092 Loss: 113.469
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-57600/69092 Loss: 111.147
-60800/69092 Loss: 111.424
-64000/69092 Loss: 111.865
-67200/69092 Loss: 111.375
-Training time 0:01:57.266665
-Epoch: 138 Average loss: 112.02
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 279)
-0/69092 Loss: 103.212
-3200/69092 Loss: 112.472
-6400/69092 Loss: 113.479
-9600/69092 Loss: 112.589
-12800/69092 Loss: 112.073
-16000/69092 Loss: 111.552
-19200/69092 Loss: 111.969
-22400/69092 Loss: 111.225
-25600/69092 Loss: 113.232
-28800/69092 Loss: 112.642
-32000/69092 Loss: 111.045
-35200/69092 Loss: 110.319
-38400/69092 Loss: 109.832
-41600/69092 Loss: 110.909
-44800/69092 Loss: 111.229
-48000/69092 Loss: 113.238
-51200/69092 Loss: 112.517
-54400/69092 Loss: 113.034
-57600/69092 Loss: 112.834
-60800/69092 Loss: 112.623
-64000/69092 Loss: 111.474
-67200/69092 Loss: 112.129
-Training time 0:01:58.435114
-Epoch: 139 Average loss: 112.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 280)
-0/69092 Loss: 108.457
-3200/69092 Loss: 110.087
-6400/69092 Loss: 110.082
-9600/69092 Loss: 111.008
-12800/69092 Loss: 112.120
-16000/69092 Loss: 112.566
-19200/69092 Loss: 111.473
-22400/69092 Loss: 111.214
-25600/69092 Loss: 113.012
-28800/69092 Loss: 113.351
-32000/69092 Loss: 113.902
-35200/69092 Loss: 111.173
-38400/69092 Loss: 112.956
-41600/69092 Loss: 110.527
-44800/69092 Loss: 114.892
-48000/69092 Loss: 110.396
-51200/69092 Loss: 113.245
-54400/69092 Loss: 110.763
-57600/69092 Loss: 110.205
-60800/69092 Loss: 111.772
-64000/69092 Loss: 112.627
-67200/69092 Loss: 111.441
-Training time 0:01:56.262381
-Epoch: 140 Average loss: 111.89
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 281)
-0/69092 Loss: 98.658
-3200/69092 Loss: 113.159
-6400/69092 Loss: 110.102
-9600/69092 Loss: 112.839
-12800/69092 Loss: 112.983
-16000/69092 Loss: 110.094
-19200/69092 Loss: 111.538
-22400/69092 Loss: 112.158
-25600/69092 Loss: 112.301
-28800/69092 Loss: 111.748
-32000/69092 Loss: 110.355
-35200/69092 Loss: 110.992
-38400/69092 Loss: 112.652
-41600/69092 Loss: 113.077
-44800/69092 Loss: 111.689
-48000/69092 Loss: 112.482
-51200/69092 Loss: 111.524
-54400/69092 Loss: 111.967
-57600/69092 Loss: 111.668
-60800/69092 Loss: 110.932
-64000/69092 Loss: 112.046
-67200/69092 Loss: 113.020
-Training time 0:01:58.535137
-Epoch: 141 Average loss: 111.89
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 282)
-0/69092 Loss: 124.952
-3200/69092 Loss: 112.607
-6400/69092 Loss: 113.206
-9600/69092 Loss: 110.438
-12800/69092 Loss: 112.742
-16000/69092 Loss: 112.216
-19200/69092 Loss: 112.843
-22400/69092 Loss: 111.532
-25600/69092 Loss: 111.301
-28800/69092 Loss: 110.823
-32000/69092 Loss: 111.241
-35200/69092 Loss: 112.160
-38400/69092 Loss: 111.847
-41600/69092 Loss: 112.071
-44800/69092 Loss: 112.332
-48000/69092 Loss: 112.300
-51200/69092 Loss: 111.658
-54400/69092 Loss: 112.571
-57600/69092 Loss: 110.150
-60800/69092 Loss: 112.637
-64000/69092 Loss: 111.443
-67200/69092 Loss: 112.552
-Training time 0:01:57.326723
-Epoch: 142 Average loss: 111.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 283)
-0/69092 Loss: 108.045
-3200/69092 Loss: 112.897
-6400/69092 Loss: 112.089
-9600/69092 Loss: 110.165
-12800/69092 Loss: 111.870
-16000/69092 Loss: 112.836
-19200/69092 Loss: 113.111
-22400/69092 Loss: 111.287
-25600/69092 Loss: 111.836
-28800/69092 Loss: 112.930
-32000/69092 Loss: 111.349
-35200/69092 Loss: 112.133
-38400/69092 Loss: 111.580
-41600/69092 Loss: 113.092
-44800/69092 Loss: 112.667
-48000/69092 Loss: 111.006
-51200/69092 Loss: 111.750
-54400/69092 Loss: 110.065
-57600/69092 Loss: 112.065
-60800/69092 Loss: 111.136
-64000/69092 Loss: 111.657
-67200/69092 Loss: 113.054
-Training time 0:01:57.236775
-Epoch: 143 Average loss: 111.94
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 284)
-0/69092 Loss: 106.834
-3200/69092 Loss: 111.079
-6400/69092 Loss: 111.140
-9600/69092 Loss: 113.726
-12800/69092 Loss: 111.682
-16000/69092 Loss: 111.500
-19200/69092 Loss: 112.017
-22400/69092 Loss: 112.366
-25600/69092 Loss: 113.172
-28800/69092 Loss: 110.644
-32000/69092 Loss: 111.564
-35200/69092 Loss: 111.866
-38400/69092 Loss: 111.532
-41600/69092 Loss: 111.272
-44800/69092 Loss: 112.606
-48000/69092 Loss: 112.309
-51200/69092 Loss: 112.685
-54400/69092 Loss: 111.293
-57600/69092 Loss: 111.289
-60800/69092 Loss: 110.347
-64000/69092 Loss: 112.299
-67200/69092 Loss: 110.649
-Training time 0:01:58.010957
-Epoch: 144 Average loss: 111.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 285)
-0/69092 Loss: 118.306
-3200/69092 Loss: 111.237
-6400/69092 Loss: 111.661
-9600/69092 Loss: 114.291
-12800/69092 Loss: 113.517
-16000/69092 Loss: 110.445
-19200/69092 Loss: 111.158
-22400/69092 Loss: 109.768
-25600/69092 Loss: 110.498
-28800/69092 Loss: 113.142
-32000/69092 Loss: 113.399
-35200/69092 Loss: 111.526
-38400/69092 Loss: 113.117
-41600/69092 Loss: 110.777
-44800/69092 Loss: 111.227
-48000/69092 Loss: 112.151
-51200/69092 Loss: 111.684
-54400/69092 Loss: 110.881
-57600/69092 Loss: 111.018
-60800/69092 Loss: 113.214
-64000/69092 Loss: 111.659
-67200/69092 Loss: 111.615
-Training time 0:01:58.616269
-Epoch: 145 Average loss: 111.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 286)
-0/69092 Loss: 115.363
-3200/69092 Loss: 111.312
-6400/69092 Loss: 112.252
-9600/69092 Loss: 112.526
-12800/69092 Loss: 112.737
-16000/69092 Loss: 111.285
-19200/69092 Loss: 112.019
-22400/69092 Loss: 112.912
-25600/69092 Loss: 110.939
-28800/69092 Loss: 113.678
-32000/69092 Loss: 109.269
-35200/69092 Loss: 110.789
-38400/69092 Loss: 113.603
-41600/69092 Loss: 112.517
-44800/69092 Loss: 111.067
-48000/69092 Loss: 112.921
-51200/69092 Loss: 112.439
-54400/69092 Loss: 110.862
-57600/69092 Loss: 112.110
-60800/69092 Loss: 113.408
-64000/69092 Loss: 109.576
-67200/69092 Loss: 112.647
-Training time 0:01:57.659672
-Epoch: 146 Average loss: 111.92
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 287)
-0/69092 Loss: 117.260
-3200/69092 Loss: 111.658
-6400/69092 Loss: 109.211
-9600/69092 Loss: 113.671
-12800/69092 Loss: 111.070
-16000/69092 Loss: 112.197
-19200/69092 Loss: 113.150
-22400/69092 Loss: 112.106
-25600/69092 Loss: 110.923
-28800/69092 Loss: 110.465
-32000/69092 Loss: 112.369
-35200/69092 Loss: 111.273
-38400/69092 Loss: 111.069
-41600/69092 Loss: 112.165
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-51200/69092 Loss: 114.592
-54400/69092 Loss: 112.268
-57600/69092 Loss: 112.081
-60800/69092 Loss: 112.133
-64000/69092 Loss: 112.107
-67200/69092 Loss: 111.921
-Training time 0:01:58.866951
-Epoch: 147 Average loss: 111.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 288)
-0/69092 Loss: 125.864
-3200/69092 Loss: 112.431
-6400/69092 Loss: 111.947
-9600/69092 Loss: 112.225
-12800/69092 Loss: 112.134
-16000/69092 Loss: 112.516
-19200/69092 Loss: 112.602
-22400/69092 Loss: 109.668
-25600/69092 Loss: 113.651
-28800/69092 Loss: 111.084
-32000/69092 Loss: 113.826
-35200/69092 Loss: 111.270
-38400/69092 Loss: 112.044
-41600/69092 Loss: 110.729
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-51200/69092 Loss: 112.430
-54400/69092 Loss: 111.239
-57600/69092 Loss: 111.362
-60800/69092 Loss: 111.584
-64000/69092 Loss: 110.666
-67200/69092 Loss: 112.932
-Training time 0:01:56.854656
-Epoch: 148 Average loss: 111.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 289)
-0/69092 Loss: 120.989
-3200/69092 Loss: 110.863
-6400/69092 Loss: 111.532
-9600/69092 Loss: 110.060
-12800/69092 Loss: 111.442
-16000/69092 Loss: 112.615
-19200/69092 Loss: 110.756
-22400/69092 Loss: 113.074
-25600/69092 Loss: 111.051
-28800/69092 Loss: 114.605
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-35200/69092 Loss: 112.525
-38400/69092 Loss: 112.964
-41600/69092 Loss: 110.887
-44800/69092 Loss: 109.753
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-51200/69092 Loss: 113.599
-54400/69092 Loss: 111.841
-57600/69092 Loss: 109.317
-60800/69092 Loss: 111.099
-64000/69092 Loss: 113.230
-67200/69092 Loss: 111.380
-Training time 0:01:57.507897
-Epoch: 149 Average loss: 111.70
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 290)
-0/69092 Loss: 117.476
-3200/69092 Loss: 112.599
-6400/69092 Loss: 110.336
-9600/69092 Loss: 112.918
-12800/69092 Loss: 110.651
-16000/69092 Loss: 111.573
-19200/69092 Loss: 112.520
-22400/69092 Loss: 111.845
-25600/69092 Loss: 110.945
-28800/69092 Loss: 113.548
-32000/69092 Loss: 111.766
-35200/69092 Loss: 112.943
-38400/69092 Loss: 111.785
-41600/69092 Loss: 111.330
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-51200/69092 Loss: 109.573
-54400/69092 Loss: 112.740
-57600/69092 Loss: 112.079
-60800/69092 Loss: 112.911
-64000/69092 Loss: 112.236
-67200/69092 Loss: 112.986
-Training time 0:01:58.333631
-Epoch: 150 Average loss: 111.94
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 291)
-0/69092 Loss: 115.953
-3200/69092 Loss: 113.134
-6400/69092 Loss: 113.103
-9600/69092 Loss: 110.199
-12800/69092 Loss: 113.194
-16000/69092 Loss: 111.184
-19200/69092 Loss: 111.698
-22400/69092 Loss: 112.935
-25600/69092 Loss: 111.881
-28800/69092 Loss: 111.115
-32000/69092 Loss: 112.603
-35200/69092 Loss: 112.020
-38400/69092 Loss: 112.642
-41600/69092 Loss: 111.432
-44800/69092 Loss: 112.172
-48000/69092 Loss: 110.613
-51200/69092 Loss: 111.053
-54400/69092 Loss: 111.428
-57600/69092 Loss: 112.518
-60800/69092 Loss: 111.422
-64000/69092 Loss: 111.675
-67200/69092 Loss: 112.371
-Training time 0:01:58.128314
-Epoch: 151 Average loss: 111.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 292)
-0/69092 Loss: 104.421
-3200/69092 Loss: 111.188
-6400/69092 Loss: 112.041
-9600/69092 Loss: 111.957
-12800/69092 Loss: 110.362
-16000/69092 Loss: 112.861
-19200/69092 Loss: 112.682
-22400/69092 Loss: 111.382
-25600/69092 Loss: 111.200
-28800/69092 Loss: 109.572
-32000/69092 Loss: 111.507
-35200/69092 Loss: 114.643
-38400/69092 Loss: 113.705
-41600/69092 Loss: 111.291
-44800/69092 Loss: 113.218
-48000/69092 Loss: 111.520
-51200/69092 Loss: 111.699
-54400/69092 Loss: 111.856
-57600/69092 Loss: 112.596
-60800/69092 Loss: 111.065
-64000/69092 Loss: 112.072
-67200/69092 Loss: 111.599
-Training time 0:01:56.836098
-Epoch: 152 Average loss: 111.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 293)
-0/69092 Loss: 107.049
-3200/69092 Loss: 111.545
-6400/69092 Loss: 112.860
-9600/69092 Loss: 109.550
-12800/69092 Loss: 109.521
-16000/69092 Loss: 111.000
-19200/69092 Loss: 112.895
-22400/69092 Loss: 109.538
-25600/69092 Loss: 111.365
-28800/69092 Loss: 113.803
-32000/69092 Loss: 111.668
-35200/69092 Loss: 112.163
-38400/69092 Loss: 112.722
-41600/69092 Loss: 112.485
-44800/69092 Loss: 112.295
-48000/69092 Loss: 112.679
-51200/69092 Loss: 113.590
-54400/69092 Loss: 110.211
-57600/69092 Loss: 109.907
-60800/69092 Loss: 113.576
-64000/69092 Loss: 112.936
-67200/69092 Loss: 110.808
-Training time 0:01:57.354715
-Epoch: 153 Average loss: 111.77
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 294)
-0/69092 Loss: 111.501
-3200/69092 Loss: 111.638
-6400/69092 Loss: 110.784
-9600/69092 Loss: 113.868
-12800/69092 Loss: 110.259
-16000/69092 Loss: 112.660
-19200/69092 Loss: 111.296
-22400/69092 Loss: 112.705
-25600/69092 Loss: 110.795
-28800/69092 Loss: 111.370
-32000/69092 Loss: 112.506
-35200/69092 Loss: 111.228
-38400/69092 Loss: 111.229
-41600/69092 Loss: 110.885
-44800/69092 Loss: 111.343
-48000/69092 Loss: 112.372
-51200/69092 Loss: 111.562
-54400/69092 Loss: 112.554
-57600/69092 Loss: 112.194
-60800/69092 Loss: 110.748
-64000/69092 Loss: 113.162
-67200/69092 Loss: 111.802
-Training time 0:01:57.258471
-Epoch: 154 Average loss: 111.78
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 295)
-0/69092 Loss: 108.742
-3200/69092 Loss: 110.511
-6400/69092 Loss: 111.703
-9600/69092 Loss: 110.358
-12800/69092 Loss: 112.914
-16000/69092 Loss: 111.439
-19200/69092 Loss: 112.426
-22400/69092 Loss: 112.589
-25600/69092 Loss: 111.170
-28800/69092 Loss: 111.646
-32000/69092 Loss: 111.722
-35200/69092 Loss: 110.836
-38400/69092 Loss: 112.782
-41600/69092 Loss: 111.605
-44800/69092 Loss: 113.442
-48000/69092 Loss: 110.468
-51200/69092 Loss: 110.794
-54400/69092 Loss: 110.828
-57600/69092 Loss: 113.813
-60800/69092 Loss: 110.367
-64000/69092 Loss: 112.361
-67200/69092 Loss: 111.840
-Training time 0:01:57.111745
-Epoch: 155 Average loss: 111.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 296)
-0/69092 Loss: 118.872
-3200/69092 Loss: 110.466
-6400/69092 Loss: 114.033
-9600/69092 Loss: 111.255
-12800/69092 Loss: 113.188
-16000/69092 Loss: 111.942
-19200/69092 Loss: 110.293
-22400/69092 Loss: 112.721
-25600/69092 Loss: 110.724
-28800/69092 Loss: 111.917
-32000/69092 Loss: 111.823
-35200/69092 Loss: 111.921
-38400/69092 Loss: 112.379
-41600/69092 Loss: 111.464
-44800/69092 Loss: 109.217
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-51200/69092 Loss: 112.555
-54400/69092 Loss: 113.719
-57600/69092 Loss: 110.811
-60800/69092 Loss: 112.150
-64000/69092 Loss: 112.173
-67200/69092 Loss: 110.787
-Training time 0:01:56.623030
-Epoch: 156 Average loss: 111.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 297)
-0/69092 Loss: 114.869
-3200/69092 Loss: 111.270
-6400/69092 Loss: 110.590
-9600/69092 Loss: 111.682
-12800/69092 Loss: 111.369
-16000/69092 Loss: 111.500
-19200/69092 Loss: 113.862
-22400/69092 Loss: 112.474
-25600/69092 Loss: 113.168
-28800/69092 Loss: 110.683
-32000/69092 Loss: 111.306
-35200/69092 Loss: 109.768
-38400/69092 Loss: 111.974
-41600/69092 Loss: 112.443
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-48000/69092 Loss: 111.066
-51200/69092 Loss: 110.422
-54400/69092 Loss: 110.778
-57600/69092 Loss: 110.822
-60800/69092 Loss: 112.678
-64000/69092 Loss: 111.867
-67200/69092 Loss: 111.467
-Training time 0:01:57.529709
-Epoch: 157 Average loss: 111.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 298)
-0/69092 Loss: 124.694
-3200/69092 Loss: 111.638
-6400/69092 Loss: 110.301
-9600/69092 Loss: 112.122
-12800/69092 Loss: 110.529
-16000/69092 Loss: 109.903
-19200/69092 Loss: 112.519
-22400/69092 Loss: 112.301
-25600/69092 Loss: 110.694
-28800/69092 Loss: 113.052
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-35200/69092 Loss: 113.203
-38400/69092 Loss: 110.898
-41600/69092 Loss: 110.987
-44800/69092 Loss: 110.335
-48000/69092 Loss: 110.953
-51200/69092 Loss: 112.360
-54400/69092 Loss: 112.887
-57600/69092 Loss: 112.167
-60800/69092 Loss: 113.126
-64000/69092 Loss: 113.502
-67200/69092 Loss: 110.894
-Training time 0:01:57.557864
-Epoch: 158 Average loss: 111.71
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 299)
-0/69092 Loss: 114.132
-3200/69092 Loss: 112.711
-6400/69092 Loss: 112.266
-9600/69092 Loss: 111.940
-12800/69092 Loss: 110.040
-16000/69092 Loss: 110.274
-19200/69092 Loss: 111.464
-22400/69092 Loss: 114.249
-25600/69092 Loss: 110.451
-28800/69092 Loss: 111.813
-32000/69092 Loss: 110.874
-35200/69092 Loss: 111.192
-38400/69092 Loss: 110.178
-41600/69092 Loss: 111.566
-44800/69092 Loss: 112.302
-48000/69092 Loss: 112.227
-51200/69092 Loss: 112.962
-54400/69092 Loss: 112.561
-57600/69092 Loss: 111.218
-60800/69092 Loss: 113.534
-64000/69092 Loss: 111.048
-67200/69092 Loss: 110.810
-Training time 0:01:58.071249
-Epoch: 159 Average loss: 111.74
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 300)
-0/69092 Loss: 123.650
-3200/69092 Loss: 111.714
-6400/69092 Loss: 113.229
-9600/69092 Loss: 113.051
-12800/69092 Loss: 111.433
-16000/69092 Loss: 110.213
-19200/69092 Loss: 111.912
-22400/69092 Loss: 112.486
-25600/69092 Loss: 111.917
-28800/69092 Loss: 112.611
-32000/69092 Loss: 110.129
-35200/69092 Loss: 112.950
-38400/69092 Loss: 112.496
-41600/69092 Loss: 111.032
-44800/69092 Loss: 112.336
-48000/69092 Loss: 109.904
-51200/69092 Loss: 111.151
-54400/69092 Loss: 111.449
-57600/69092 Loss: 111.840
-60800/69092 Loss: 110.888
-64000/69092 Loss: 112.554
-67200/69092 Loss: 110.121
-Training time 0:01:58.034978
-Epoch: 160 Average loss: 111.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 301)
-0/69092 Loss: 116.410
-3200/69092 Loss: 110.600
-6400/69092 Loss: 112.400
-9600/69092 Loss: 111.510
-12800/69092 Loss: 110.163
-16000/69092 Loss: 110.768
-19200/69092 Loss: 114.241
-22400/69092 Loss: 112.413
-25600/69092 Loss: 113.094
-28800/69092 Loss: 110.829
-32000/69092 Loss: 113.481
-35200/69092 Loss: 112.277
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-54400/69092 Loss: 109.791
-57600/69092 Loss: 112.472
-60800/69092 Loss: 112.471
-64000/69092 Loss: 112.048
-67200/69092 Loss: 111.838
-Training time 0:01:56.366043
-Epoch: 161 Average loss: 111.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 302)
-0/69092 Loss: 113.542
-3200/69092 Loss: 110.087
-6400/69092 Loss: 113.418
-9600/69092 Loss: 112.001
-12800/69092 Loss: 113.136
-16000/69092 Loss: 111.554
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-35200/69092 Loss: 111.353
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-41600/69092 Loss: 113.415
-44800/69092 Loss: 112.298
-48000/69092 Loss: 110.774
-51200/69092 Loss: 108.745
-54400/69092 Loss: 112.864
-57600/69092 Loss: 109.988
-60800/69092 Loss: 112.738
-64000/69092 Loss: 110.572
-67200/69092 Loss: 112.847
-Training time 0:01:58.019849
-Epoch: 162 Average loss: 111.70
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 303)
-0/69092 Loss: 119.715
-3200/69092 Loss: 110.518
-6400/69092 Loss: 111.559
-9600/69092 Loss: 112.434
-12800/69092 Loss: 112.339
-16000/69092 Loss: 112.397
-19200/69092 Loss: 110.979
-22400/69092 Loss: 110.737
-25600/69092 Loss: 111.644
-28800/69092 Loss: 112.902
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-35200/69092 Loss: 113.155
-38400/69092 Loss: 109.615
-41600/69092 Loss: 112.107
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-48000/69092 Loss: 112.698
-51200/69092 Loss: 112.322
-54400/69092 Loss: 111.918
-57600/69092 Loss: 112.837
-60800/69092 Loss: 110.629
-64000/69092 Loss: 111.170
-67200/69092 Loss: 112.125
-Training time 0:01:57.907451
-Epoch: 163 Average loss: 111.78
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 304)
-0/69092 Loss: 134.733
-3200/69092 Loss: 111.368
-6400/69092 Loss: 112.738
-9600/69092 Loss: 112.785
-12800/69092 Loss: 111.969
-16000/69092 Loss: 111.528
-19200/69092 Loss: 109.242
-22400/69092 Loss: 113.343
-25600/69092 Loss: 113.095
-28800/69092 Loss: 110.104
-32000/69092 Loss: 111.320
-35200/69092 Loss: 110.740
-38400/69092 Loss: 109.703
-41600/69092 Loss: 111.375
-44800/69092 Loss: 111.857
-48000/69092 Loss: 112.100
-51200/69092 Loss: 112.985
-54400/69092 Loss: 111.972
-57600/69092 Loss: 109.736
-60800/69092 Loss: 112.205
-64000/69092 Loss: 111.661
-67200/69092 Loss: 112.903
-Training time 0:01:58.142396
-Epoch: 164 Average loss: 111.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 305)
-0/69092 Loss: 118.115
-3200/69092 Loss: 110.009
-6400/69092 Loss: 111.570
-9600/69092 Loss: 112.055
-12800/69092 Loss: 113.302
-16000/69092 Loss: 110.916
-19200/69092 Loss: 111.357
-22400/69092 Loss: 111.904
-25600/69092 Loss: 110.185
-28800/69092 Loss: 111.550
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-35200/69092 Loss: 110.133
-38400/69092 Loss: 111.114
-41600/69092 Loss: 112.392
-44800/69092 Loss: 114.921
-48000/69092 Loss: 111.498
-51200/69092 Loss: 111.717
-54400/69092 Loss: 111.010
-57600/69092 Loss: 111.393
-60800/69092 Loss: 111.221
-64000/69092 Loss: 111.821
-67200/69092 Loss: 111.310
-Training time 0:01:57.883301
-Epoch: 165 Average loss: 111.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 306)
-0/69092 Loss: 109.505
-3200/69092 Loss: 109.239
-6400/69092 Loss: 112.679
-9600/69092 Loss: 111.230
-12800/69092 Loss: 112.153
-16000/69092 Loss: 108.978
-19200/69092 Loss: 112.635
-22400/69092 Loss: 111.655
-25600/69092 Loss: 110.654
-28800/69092 Loss: 111.396
-32000/69092 Loss: 110.772
-35200/69092 Loss: 110.620
-38400/69092 Loss: 111.977
-41600/69092 Loss: 112.527
-44800/69092 Loss: 112.819
-48000/69092 Loss: 113.921
-51200/69092 Loss: 112.138
-54400/69092 Loss: 111.674
-57600/69092 Loss: 111.156
-60800/69092 Loss: 112.003
-64000/69092 Loss: 112.026
-67200/69092 Loss: 113.795
-Training time 0:01:57.628814
-Epoch: 166 Average loss: 111.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 307)
-0/69092 Loss: 111.059
-3200/69092 Loss: 111.078
-6400/69092 Loss: 111.255
-9600/69092 Loss: 111.719
-12800/69092 Loss: 110.882
-16000/69092 Loss: 114.077
-19200/69092 Loss: 111.082
-22400/69092 Loss: 112.027
-25600/69092 Loss: 110.732
-28800/69092 Loss: 111.248
-32000/69092 Loss: 112.801
-35200/69092 Loss: 110.367
-38400/69092 Loss: 111.870
-41600/69092 Loss: 111.445
-44800/69092 Loss: 112.290
-48000/69092 Loss: 112.549
-51200/69092 Loss: 111.689
-54400/69092 Loss: 111.940
-57600/69092 Loss: 112.155
-60800/69092 Loss: 112.263
-64000/69092 Loss: 112.639
-67200/69092 Loss: 111.075
-Training time 0:01:58.999863
-Epoch: 167 Average loss: 111.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 308)
-0/69092 Loss: 105.557
-3200/69092 Loss: 112.981
-6400/69092 Loss: 112.326
-9600/69092 Loss: 110.460
-12800/69092 Loss: 111.842
-16000/69092 Loss: 112.710
-19200/69092 Loss: 113.543
-22400/69092 Loss: 112.468
-25600/69092 Loss: 110.899
-28800/69092 Loss: 113.226
-32000/69092 Loss: 111.981
-35200/69092 Loss: 110.594
-38400/69092 Loss: 110.432
-41600/69092 Loss: 110.462
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-51200/69092 Loss: 110.518
-54400/69092 Loss: 112.326
-57600/69092 Loss: 112.281
-60800/69092 Loss: 112.349
-64000/69092 Loss: 112.677
-67200/69092 Loss: 111.289
-Training time 0:01:57.916369
-Epoch: 168 Average loss: 111.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 309)
-0/69092 Loss: 106.652
-3200/69092 Loss: 112.091
-6400/69092 Loss: 112.037
-9600/69092 Loss: 111.819
-12800/69092 Loss: 111.874
-16000/69092 Loss: 110.806
-19200/69092 Loss: 112.183
-22400/69092 Loss: 112.422
-25600/69092 Loss: 109.044
-28800/69092 Loss: 112.361
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-35200/69092 Loss: 112.348
-38400/69092 Loss: 110.026
-41600/69092 Loss: 112.366
-44800/69092 Loss: 112.497
-48000/69092 Loss: 111.515
-51200/69092 Loss: 111.187
-54400/69092 Loss: 111.332
-57600/69092 Loss: 109.368
-60800/69092 Loss: 111.638
-64000/69092 Loss: 114.175
-67200/69092 Loss: 110.968
-Training time 0:01:58.337494
-Epoch: 169 Average loss: 111.60
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 310)
-0/69092 Loss: 116.036
-3200/69092 Loss: 109.581
-6400/69092 Loss: 112.270
-9600/69092 Loss: 111.920
-12800/69092 Loss: 111.055
-16000/69092 Loss: 110.885
-19200/69092 Loss: 112.197
-22400/69092 Loss: 111.740
-25600/69092 Loss: 111.951
-28800/69092 Loss: 111.953
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-35200/69092 Loss: 111.384
-38400/69092 Loss: 109.769
-41600/69092 Loss: 111.808
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-48000/69092 Loss: 111.708
-51200/69092 Loss: 112.546
-54400/69092 Loss: 111.851
-57600/69092 Loss: 111.209
-60800/69092 Loss: 113.422
-64000/69092 Loss: 113.189
-67200/69092 Loss: 111.935
-Training time 0:01:57.384316
-Epoch: 170 Average loss: 111.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 311)
-0/69092 Loss: 127.703
-3200/69092 Loss: 111.678
-6400/69092 Loss: 110.477
-9600/69092 Loss: 111.366
-12800/69092 Loss: 111.567
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-25600/69092 Loss: 108.892
-28800/69092 Loss: 112.422
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-35200/69092 Loss: 111.129
-38400/69092 Loss: 112.726
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-57600/69092 Loss: 111.868
-60800/69092 Loss: 111.465
-64000/69092 Loss: 112.831
-67200/69092 Loss: 113.136
-Training time 0:01:57.705388
-Epoch: 171 Average loss: 111.70
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 312)
-0/69092 Loss: 108.844
-3200/69092 Loss: 111.695
-6400/69092 Loss: 111.223
-9600/69092 Loss: 112.083
-12800/69092 Loss: 112.880
-16000/69092 Loss: 110.638
-19200/69092 Loss: 112.117
-22400/69092 Loss: 111.752
-25600/69092 Loss: 110.880
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-35200/69092 Loss: 112.321
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-57600/69092 Loss: 110.711
-60800/69092 Loss: 112.018
-64000/69092 Loss: 112.209
-67200/69092 Loss: 112.814
-Training time 0:01:57.964064
-Epoch: 172 Average loss: 111.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 313)
-0/69092 Loss: 117.573
-3200/69092 Loss: 111.334
-6400/69092 Loss: 112.929
-9600/69092 Loss: 111.225
-12800/69092 Loss: 111.788
-16000/69092 Loss: 110.620
-19200/69092 Loss: 110.578
-22400/69092 Loss: 111.633
-25600/69092 Loss: 112.730
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-35200/69092 Loss: 111.097
-38400/69092 Loss: 110.843
-41600/69092 Loss: 110.864
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-54400/69092 Loss: 111.633
-57600/69092 Loss: 110.176
-60800/69092 Loss: 112.667
-64000/69092 Loss: 110.104
-67200/69092 Loss: 112.285
-Training time 0:01:56.752130
-Epoch: 173 Average loss: 111.55
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 314)
-0/69092 Loss: 110.782
-3200/69092 Loss: 111.362
-6400/69092 Loss: 113.374
-9600/69092 Loss: 112.839
-12800/69092 Loss: 112.448
-16000/69092 Loss: 112.099
-19200/69092 Loss: 111.209
-22400/69092 Loss: 110.317
-25600/69092 Loss: 111.654
-28800/69092 Loss: 110.356
-32000/69092 Loss: 110.643
-35200/69092 Loss: 111.474
-38400/69092 Loss: 111.918
-41600/69092 Loss: 111.560
-44800/69092 Loss: 111.214
-48000/69092 Loss: 111.769
-51200/69092 Loss: 110.218
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-57600/69092 Loss: 112.353
-60800/69092 Loss: 112.673
-64000/69092 Loss: 110.937
-67200/69092 Loss: 112.363
-Training time 0:01:58.067145
-Epoch: 174 Average loss: 111.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 315)
-0/69092 Loss: 114.900
-3200/69092 Loss: 111.194
-6400/69092 Loss: 110.765
-9600/69092 Loss: 113.184
-12800/69092 Loss: 111.068
-16000/69092 Loss: 111.820
-19200/69092 Loss: 110.786
-22400/69092 Loss: 110.856
-25600/69092 Loss: 112.766
-28800/69092 Loss: 112.088
-32000/69092 Loss: 110.329
-35200/69092 Loss: 112.775
-38400/69092 Loss: 111.490
-41600/69092 Loss: 112.312
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-48000/69092 Loss: 110.544
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-54400/69092 Loss: 110.298
-57600/69092 Loss: 111.694
-60800/69092 Loss: 111.988
-64000/69092 Loss: 111.013
-67200/69092 Loss: 110.715
-Training time 0:01:58.014468
-Epoch: 175 Average loss: 111.51
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 316)
-0/69092 Loss: 119.735
-3200/69092 Loss: 110.581
-6400/69092 Loss: 110.471
-9600/69092 Loss: 110.051
-12800/69092 Loss: 111.062
-16000/69092 Loss: 111.943
-19200/69092 Loss: 112.570
-22400/69092 Loss: 113.682
-25600/69092 Loss: 110.904
-28800/69092 Loss: 110.676
-32000/69092 Loss: 111.977
-35200/69092 Loss: 111.398
-38400/69092 Loss: 110.633
-41600/69092 Loss: 111.087
-44800/69092 Loss: 113.643
-48000/69092 Loss: 111.851
-51200/69092 Loss: 112.379
-54400/69092 Loss: 111.891
-57600/69092 Loss: 109.544
-60800/69092 Loss: 111.967
-64000/69092 Loss: 113.614
-67200/69092 Loss: 112.276
-Training time 0:01:58.495056
-Epoch: 176 Average loss: 111.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 317)
-0/69092 Loss: 124.552
-3200/69092 Loss: 112.319
-6400/69092 Loss: 111.483
-9600/69092 Loss: 110.606
-12800/69092 Loss: 112.892
-16000/69092 Loss: 112.674
-19200/69092 Loss: 111.931
-22400/69092 Loss: 109.751
-25600/69092 Loss: 111.548
-28800/69092 Loss: 109.975
-32000/69092 Loss: 111.960
-35200/69092 Loss: 110.546
-38400/69092 Loss: 111.756
-41600/69092 Loss: 111.660
-44800/69092 Loss: 112.089
-48000/69092 Loss: 112.292
-51200/69092 Loss: 111.803
-54400/69092 Loss: 112.917
-57600/69092 Loss: 109.461
-60800/69092 Loss: 109.814
-64000/69092 Loss: 112.297
-67200/69092 Loss: 112.958
-Training time 0:01:57.255709
-Epoch: 177 Average loss: 111.60
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 318)
-0/69092 Loss: 120.511
-3200/69092 Loss: 113.576
-6400/69092 Loss: 111.405
-9600/69092 Loss: 113.479
-12800/69092 Loss: 112.399
-16000/69092 Loss: 109.682
-19200/69092 Loss: 113.299
-22400/69092 Loss: 111.035
-25600/69092 Loss: 111.170
-28800/69092 Loss: 111.269
-32000/69092 Loss: 110.564
-35200/69092 Loss: 111.389
-38400/69092 Loss: 111.394
-41600/69092 Loss: 111.550
-44800/69092 Loss: 113.036
-48000/69092 Loss: 110.169
-51200/69092 Loss: 110.245
-54400/69092 Loss: 110.791
-57600/69092 Loss: 111.674
-60800/69092 Loss: 111.160
-64000/69092 Loss: 113.037
-67200/69092 Loss: 112.097
-Training time 0:01:57.057106
-Epoch: 178 Average loss: 111.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 319)
-0/69092 Loss: 103.304
-3200/69092 Loss: 111.873
-6400/69092 Loss: 110.717
-9600/69092 Loss: 112.062
-12800/69092 Loss: 111.397
-16000/69092 Loss: 111.597
-19200/69092 Loss: 112.798
-22400/69092 Loss: 110.245
-25600/69092 Loss: 110.977
-28800/69092 Loss: 111.191
-32000/69092 Loss: 110.798
-35200/69092 Loss: 110.867
-38400/69092 Loss: 112.236
-41600/69092 Loss: 112.333
-44800/69092 Loss: 110.852
-48000/69092 Loss: 111.670
-51200/69092 Loss: 110.712
-54400/69092 Loss: 111.992
-57600/69092 Loss: 112.176
-60800/69092 Loss: 112.691
-64000/69092 Loss: 111.358
-67200/69092 Loss: 112.990
-Training time 0:01:57.803994
-Epoch: 179 Average loss: 111.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 320)
-0/69092 Loss: 107.170
-3200/69092 Loss: 112.843
-6400/69092 Loss: 111.024
-9600/69092 Loss: 111.109
-12800/69092 Loss: 111.462
-16000/69092 Loss: 110.910
-19200/69092 Loss: 113.197
-22400/69092 Loss: 109.887
-25600/69092 Loss: 111.829
-28800/69092 Loss: 109.722
-32000/69092 Loss: 111.730
-35200/69092 Loss: 112.916
-38400/69092 Loss: 112.945
-41600/69092 Loss: 112.207
-44800/69092 Loss: 109.817
-48000/69092 Loss: 112.512
-51200/69092 Loss: 112.084
-54400/69092 Loss: 111.714
-57600/69092 Loss: 111.316
-60800/69092 Loss: 111.814
-64000/69092 Loss: 110.556
-67200/69092 Loss: 111.118
-Training time 0:01:56.358556
-Epoch: 180 Average loss: 111.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 321)
-0/69092 Loss: 100.743
-3200/69092 Loss: 111.787
-6400/69092 Loss: 111.899
-9600/69092 Loss: 111.281
-12800/69092 Loss: 111.201
-16000/69092 Loss: 110.951
-19200/69092 Loss: 111.522
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-25600/69092 Loss: 110.644
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-32000/69092 Loss: 113.481
-35200/69092 Loss: 110.947
-38400/69092 Loss: 111.085
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-54400/69092 Loss: 111.475
-57600/69092 Loss: 113.179
-60800/69092 Loss: 111.228
-64000/69092 Loss: 111.896
-67200/69092 Loss: 110.584
-Training time 0:01:57.502158
-Epoch: 181 Average loss: 111.54
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 322)
-0/69092 Loss: 108.357
-3200/69092 Loss: 111.731
-6400/69092 Loss: 111.733
-9600/69092 Loss: 113.481
-12800/69092 Loss: 111.365
-16000/69092 Loss: 111.726
-19200/69092 Loss: 110.502
-22400/69092 Loss: 110.389
-25600/69092 Loss: 112.975
-28800/69092 Loss: 110.518
-32000/69092 Loss: 112.618
-35200/69092 Loss: 112.790
-38400/69092 Loss: 109.776
-41600/69092 Loss: 110.367
-44800/69092 Loss: 111.609
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-51200/69092 Loss: 110.099
-54400/69092 Loss: 112.283
-57600/69092 Loss: 110.904
-60800/69092 Loss: 113.059
-64000/69092 Loss: 112.030
-67200/69092 Loss: 113.089
-Training time 0:01:56.875677
-Epoch: 182 Average loss: 111.63
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 323)
-0/69092 Loss: 114.072
-3200/69092 Loss: 110.401
-6400/69092 Loss: 110.559
-9600/69092 Loss: 111.795
-12800/69092 Loss: 111.781
-16000/69092 Loss: 111.667
-19200/69092 Loss: 111.338
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-25600/69092 Loss: 110.425
-28800/69092 Loss: 111.761
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-35200/69092 Loss: 111.569
-38400/69092 Loss: 112.074
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-54400/69092 Loss: 113.387
-57600/69092 Loss: 111.168
-60800/69092 Loss: 112.002
-64000/69092 Loss: 111.889
-67200/69092 Loss: 111.340
-Training time 0:01:57.008256
-Epoch: 183 Average loss: 111.56
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 324)
-0/69092 Loss: 120.016
-3200/69092 Loss: 111.444
-6400/69092 Loss: 109.558
-9600/69092 Loss: 111.469
-12800/69092 Loss: 111.536
-16000/69092 Loss: 111.952
-19200/69092 Loss: 111.813
-22400/69092 Loss: 113.079
-25600/69092 Loss: 109.439
-28800/69092 Loss: 110.270
-32000/69092 Loss: 110.863
-35200/69092 Loss: 111.457
-38400/69092 Loss: 112.581
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-48000/69092 Loss: 113.678
-51200/69092 Loss: 110.353
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-57600/69092 Loss: 111.633
-60800/69092 Loss: 112.184
-64000/69092 Loss: 112.424
-67200/69092 Loss: 111.424
-Training time 0:01:58.523298
-Epoch: 184 Average loss: 111.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 325)
-0/69092 Loss: 107.876
-3200/69092 Loss: 109.747
-6400/69092 Loss: 109.868
-9600/69092 Loss: 111.135
-12800/69092 Loss: 111.407
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-28800/69092 Loss: 113.485
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-35200/69092 Loss: 111.609
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-57600/69092 Loss: 110.470
-60800/69092 Loss: 111.682
-64000/69092 Loss: 111.546
-67200/69092 Loss: 110.812
-Training time 0:01:58.360094
-Epoch: 185 Average loss: 111.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 326)
-0/69092 Loss: 109.357
-3200/69092 Loss: 111.876
-6400/69092 Loss: 110.766
-9600/69092 Loss: 110.595
-12800/69092 Loss: 109.909
-16000/69092 Loss: 111.825
-19200/69092 Loss: 113.635
-22400/69092 Loss: 111.603
-25600/69092 Loss: 110.578
-28800/69092 Loss: 109.896
-32000/69092 Loss: 112.974
-35200/69092 Loss: 112.931
-38400/69092 Loss: 110.565
-41600/69092 Loss: 111.909
-44800/69092 Loss: 112.094
-48000/69092 Loss: 111.724
-51200/69092 Loss: 109.451
-54400/69092 Loss: 112.351
-57600/69092 Loss: 111.552
-60800/69092 Loss: 111.427
-64000/69092 Loss: 112.138
-67200/69092 Loss: 112.850
-Training time 0:01:58.267326
-Epoch: 186 Average loss: 111.66
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 327)
-0/69092 Loss: 106.456
-3200/69092 Loss: 111.164
-6400/69092 Loss: 111.993
-9600/69092 Loss: 112.414
-12800/69092 Loss: 109.983
-16000/69092 Loss: 112.061
-19200/69092 Loss: 111.702
-22400/69092 Loss: 111.505
-25600/69092 Loss: 110.846
-28800/69092 Loss: 112.006
-32000/69092 Loss: 111.262
-35200/69092 Loss: 111.303
-38400/69092 Loss: 112.328
-41600/69092 Loss: 111.673
-44800/69092 Loss: 112.157
-48000/69092 Loss: 110.761
-51200/69092 Loss: 110.008
-54400/69092 Loss: 112.026
-57600/69092 Loss: 112.987
-60800/69092 Loss: 111.907
-64000/69092 Loss: 112.970
-67200/69092 Loss: 111.228
-Training time 0:01:58.723759
-Epoch: 187 Average loss: 111.66
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 328)
-0/69092 Loss: 113.900
-3200/69092 Loss: 111.702
-6400/69092 Loss: 112.092
-9600/69092 Loss: 110.643
-12800/69092 Loss: 111.959
-16000/69092 Loss: 111.351
-19200/69092 Loss: 111.236
-22400/69092 Loss: 112.940
-25600/69092 Loss: 111.317
-28800/69092 Loss: 110.408
-32000/69092 Loss: 111.312
-35200/69092 Loss: 111.465
-38400/69092 Loss: 111.462
-41600/69092 Loss: 112.111
-44800/69092 Loss: 111.153
-48000/69092 Loss: 113.464
-51200/69092 Loss: 112.607
-54400/69092 Loss: 112.634
-57600/69092 Loss: 110.603
-60800/69092 Loss: 110.935
-64000/69092 Loss: 111.933
-67200/69092 Loss: 110.884
-Training time 0:01:56.799651
-Epoch: 188 Average loss: 111.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 329)
-0/69092 Loss: 109.241
-3200/69092 Loss: 112.366
-6400/69092 Loss: 110.846
-9600/69092 Loss: 111.406
-12800/69092 Loss: 110.057
-16000/69092 Loss: 110.629
-19200/69092 Loss: 111.649
-22400/69092 Loss: 112.120
-25600/69092 Loss: 113.910
-28800/69092 Loss: 109.390
-32000/69092 Loss: 112.291
-35200/69092 Loss: 112.187
-38400/69092 Loss: 109.937
-41600/69092 Loss: 112.167
-44800/69092 Loss: 111.798
-48000/69092 Loss: 112.998
-51200/69092 Loss: 110.693
-54400/69092 Loss: 110.759
-57600/69092 Loss: 112.801
-60800/69092 Loss: 113.271
-64000/69092 Loss: 109.608
-67200/69092 Loss: 110.332
-Training time 0:01:57.246459
-Epoch: 189 Average loss: 111.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 330)
-0/69092 Loss: 97.416
-3200/69092 Loss: 111.024
-6400/69092 Loss: 110.710
-9600/69092 Loss: 111.905
-12800/69092 Loss: 112.514
-16000/69092 Loss: 112.099
-19200/69092 Loss: 110.833
-22400/69092 Loss: 110.053
-25600/69092 Loss: 111.712
-28800/69092 Loss: 112.495
-32000/69092 Loss: 110.644
-35200/69092 Loss: 112.581
-38400/69092 Loss: 110.519
-41600/69092 Loss: 110.523
-44800/69092 Loss: 112.045
-48000/69092 Loss: 114.001
-51200/69092 Loss: 113.558
-54400/69092 Loss: 113.206
-57600/69092 Loss: 111.365
-60800/69092 Loss: 110.648
-64000/69092 Loss: 109.599
-67200/69092 Loss: 111.489
-Training time 0:01:58.534265
-Epoch: 190 Average loss: 111.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 331)
-0/69092 Loss: 109.889
-3200/69092 Loss: 111.807
-6400/69092 Loss: 111.917
-9600/69092 Loss: 112.418
-12800/69092 Loss: 111.399
-16000/69092 Loss: 111.778
-19200/69092 Loss: 110.268
-22400/69092 Loss: 112.134
-25600/69092 Loss: 111.793
-28800/69092 Loss: 113.554
-32000/69092 Loss: 111.343
-35200/69092 Loss: 111.764
-38400/69092 Loss: 111.731
-41600/69092 Loss: 111.383
-44800/69092 Loss: 110.959
-48000/69092 Loss: 111.216
-51200/69092 Loss: 112.441
-54400/69092 Loss: 110.586
-57600/69092 Loss: 111.640
-60800/69092 Loss: 109.830
-64000/69092 Loss: 111.446
-67200/69092 Loss: 108.799
-Training time 0:01:57.102272
-Epoch: 191 Average loss: 111.54
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 332)
-0/69092 Loss: 108.920
-3200/69092 Loss: 111.195
-6400/69092 Loss: 111.135
-9600/69092 Loss: 110.951
-12800/69092 Loss: 112.638
-16000/69092 Loss: 112.347
-19200/69092 Loss: 112.486
-22400/69092 Loss: 112.524
-25600/69092 Loss: 112.107
-28800/69092 Loss: 110.149
-32000/69092 Loss: 111.548
-35200/69092 Loss: 111.022
-38400/69092 Loss: 111.766
-41600/69092 Loss: 109.564
-44800/69092 Loss: 111.678
-48000/69092 Loss: 110.788
-51200/69092 Loss: 111.531
-54400/69092 Loss: 110.344
-57600/69092 Loss: 112.534
-60800/69092 Loss: 111.576
-64000/69092 Loss: 112.879
-67200/69092 Loss: 111.351
-Training time 0:01:59.373875
-Epoch: 192 Average loss: 111.56
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 333)
-0/69092 Loss: 94.938
-3200/69092 Loss: 109.984
-6400/69092 Loss: 113.110
-9600/69092 Loss: 112.400
-12800/69092 Loss: 110.083
-16000/69092 Loss: 112.644
-19200/69092 Loss: 110.717
-22400/69092 Loss: 110.447
-25600/69092 Loss: 111.353
-28800/69092 Loss: 111.059
-32000/69092 Loss: 112.197
-35200/69092 Loss: 110.996
-38400/69092 Loss: 111.752
-41600/69092 Loss: 111.362
-44800/69092 Loss: 111.330
-48000/69092 Loss: 110.749
-51200/69092 Loss: 112.118
-54400/69092 Loss: 111.676
-57600/69092 Loss: 111.923
-60800/69092 Loss: 111.846
-64000/69092 Loss: 112.101
-67200/69092 Loss: 111.094
-Training time 0:01:57.080547
-Epoch: 193 Average loss: 111.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 334)
-0/69092 Loss: 103.360
-3200/69092 Loss: 109.909
-6400/69092 Loss: 110.607
-9600/69092 Loss: 111.329
-12800/69092 Loss: 111.241
-16000/69092 Loss: 111.323
-19200/69092 Loss: 111.070
-22400/69092 Loss: 112.863
-25600/69092 Loss: 110.287
-28800/69092 Loss: 111.865
-32000/69092 Loss: 111.984
-35200/69092 Loss: 110.044
-38400/69092 Loss: 111.127
-41600/69092 Loss: 112.657
-44800/69092 Loss: 111.520
-48000/69092 Loss: 111.684
-51200/69092 Loss: 112.632
-54400/69092 Loss: 110.193
-57600/69092 Loss: 112.449
-60800/69092 Loss: 111.390
-64000/69092 Loss: 112.835
-67200/69092 Loss: 110.220
-Training time 0:01:56.919221
-Epoch: 194 Average loss: 111.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 335)
-0/69092 Loss: 114.571
-3200/69092 Loss: 109.905
-6400/69092 Loss: 112.086
-9600/69092 Loss: 113.124
-12800/69092 Loss: 111.455
-16000/69092 Loss: 111.385
-19200/69092 Loss: 110.461
-22400/69092 Loss: 113.651
-25600/69092 Loss: 111.032
-28800/69092 Loss: 111.218
-32000/69092 Loss: 110.235
-35200/69092 Loss: 111.196
-38400/69092 Loss: 110.942
-41600/69092 Loss: 111.118
-44800/69092 Loss: 112.162
-48000/69092 Loss: 112.270
-51200/69092 Loss: 112.336
-54400/69092 Loss: 112.304
-57600/69092 Loss: 112.400
-60800/69092 Loss: 110.947
-64000/69092 Loss: 112.175
-67200/69092 Loss: 110.084
-Training time 0:01:58.159029
-Epoch: 195 Average loss: 111.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 336)
-0/69092 Loss: 108.121
-3200/69092 Loss: 110.551
-6400/69092 Loss: 110.122
-9600/69092 Loss: 111.087
-12800/69092 Loss: 109.713
-16000/69092 Loss: 112.398
-19200/69092 Loss: 111.586
-22400/69092 Loss: 111.953
-25600/69092 Loss: 110.096
-28800/69092 Loss: 113.473
-32000/69092 Loss: 111.779
-35200/69092 Loss: 109.830
-38400/69092 Loss: 113.223
-41600/69092 Loss: 112.166
-44800/69092 Loss: 111.385
-48000/69092 Loss: 110.130
-51200/69092 Loss: 112.360
-54400/69092 Loss: 112.056
-57600/69092 Loss: 111.081
-60800/69092 Loss: 111.881
-64000/69092 Loss: 112.729
-67200/69092 Loss: 110.063
-Training time 0:01:58.104471
-Epoch: 196 Average loss: 111.44
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 337)
-0/69092 Loss: 106.781
-3200/69092 Loss: 110.821
-6400/69092 Loss: 111.953
-9600/69092 Loss: 109.727
-12800/69092 Loss: 111.328
-16000/69092 Loss: 111.844
-19200/69092 Loss: 112.256
-22400/69092 Loss: 111.124
-25600/69092 Loss: 110.867
-28800/69092 Loss: 113.414
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-35200/69092 Loss: 110.892
-38400/69092 Loss: 112.804
-41600/69092 Loss: 112.032
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-48000/69092 Loss: 110.373
-51200/69092 Loss: 110.897
-54400/69092 Loss: 111.082
-57600/69092 Loss: 111.780
-60800/69092 Loss: 111.888
-64000/69092 Loss: 111.758
-67200/69092 Loss: 110.124
-Training time 0:01:58.603707
-Epoch: 197 Average loss: 111.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 338)
-0/69092 Loss: 113.594
-3200/69092 Loss: 113.698
-6400/69092 Loss: 112.309
-9600/69092 Loss: 112.653
-12800/69092 Loss: 111.578
-16000/69092 Loss: 111.554
-19200/69092 Loss: 112.596
-22400/69092 Loss: 113.017
-25600/69092 Loss: 111.630
-28800/69092 Loss: 110.219
-32000/69092 Loss: 112.802
-35200/69092 Loss: 111.337
-38400/69092 Loss: 110.153
-41600/69092 Loss: 110.940
-44800/69092 Loss: 111.857
-48000/69092 Loss: 110.170
-51200/69092 Loss: 110.449
-54400/69092 Loss: 110.685
-57600/69092 Loss: 112.279
-60800/69092 Loss: 111.142
-64000/69092 Loss: 111.796
-67200/69092 Loss: 112.044
-Training time 0:01:57.167400
-Epoch: 198 Average loss: 111.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 339)
-0/69092 Loss: 112.419
-3200/69092 Loss: 109.955
-6400/69092 Loss: 112.138
-9600/69092 Loss: 111.481
-12800/69092 Loss: 112.328
-16000/69092 Loss: 111.303
-19200/69092 Loss: 111.574
-22400/69092 Loss: 110.819
-25600/69092 Loss: 111.268
-28800/69092 Loss: 111.733
-32000/69092 Loss: 112.241
-35200/69092 Loss: 112.829
-38400/69092 Loss: 112.505
-41600/69092 Loss: 112.321
-44800/69092 Loss: 113.180
-48000/69092 Loss: 110.595
-51200/69092 Loss: 109.521
-54400/69092 Loss: 112.243
-57600/69092 Loss: 112.375
-60800/69092 Loss: 110.801
-64000/69092 Loss: 111.653
-67200/69092 Loss: 109.770
-Training time 0:01:57.924023
-Epoch: 199 Average loss: 111.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 340)
-0/69092 Loss: 111.472
-3200/69092 Loss: 110.743
-6400/69092 Loss: 113.299
-9600/69092 Loss: 113.510
-12800/69092 Loss: 111.098
-16000/69092 Loss: 110.945
-19200/69092 Loss: 112.532
-22400/69092 Loss: 110.176
-25600/69092 Loss: 111.653
-28800/69092 Loss: 112.327
-32000/69092 Loss: 111.306
-35200/69092 Loss: 109.258
-38400/69092 Loss: 113.309
-41600/69092 Loss: 111.966
-44800/69092 Loss: 109.731
-48000/69092 Loss: 110.473
-51200/69092 Loss: 111.429
-54400/69092 Loss: 110.927
-57600/69092 Loss: 112.217
-60800/69092 Loss: 110.853
-64000/69092 Loss: 111.186
-67200/69092 Loss: 111.871
-Training time 0:01:58.334315
-Epoch: 200 Average loss: 111.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 341)
-0/69092 Loss: 115.150
-3200/69092 Loss: 110.023
-6400/69092 Loss: 112.227
-9600/69092 Loss: 111.714
-12800/69092 Loss: 112.349
-16000/69092 Loss: 110.676
-19200/69092 Loss: 110.853
-22400/69092 Loss: 113.538
-25600/69092 Loss: 110.516
-28800/69092 Loss: 111.096
-32000/69092 Loss: 111.750
-35200/69092 Loss: 111.765
-38400/69092 Loss: 111.635
-41600/69092 Loss: 110.206
-44800/69092 Loss: 112.139
-48000/69092 Loss: 111.607
-51200/69092 Loss: 111.363
-54400/69092 Loss: 112.149
-57600/69092 Loss: 110.888
-60800/69092 Loss: 110.482
-64000/69092 Loss: 112.155
-67200/69092 Loss: 111.006
-Training time 0:01:57.005626
-Epoch: 201 Average loss: 111.51
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 342)
-0/69092 Loss: 113.854
-3200/69092 Loss: 111.091
-6400/69092 Loss: 112.947
-9600/69092 Loss: 111.028
-12800/69092 Loss: 112.363
-16000/69092 Loss: 110.452
-19200/69092 Loss: 112.219
-22400/69092 Loss: 110.810
-25600/69092 Loss: 111.414
-28800/69092 Loss: 109.000
-32000/69092 Loss: 112.222
-35200/69092 Loss: 111.294
-38400/69092 Loss: 112.423
-41600/69092 Loss: 109.885
-44800/69092 Loss: 110.768
-48000/69092 Loss: 111.757
-51200/69092 Loss: 111.989
-54400/69092 Loss: 111.814
-57600/69092 Loss: 111.490
-60800/69092 Loss: 110.375
-64000/69092 Loss: 113.477
-67200/69092 Loss: 111.864
-Training time 0:01:58.205028
-Epoch: 202 Average loss: 111.47
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 343)
-0/69092 Loss: 122.803
-3200/69092 Loss: 109.099
-6400/69092 Loss: 111.211
-9600/69092 Loss: 112.652
-12800/69092 Loss: 110.796
-16000/69092 Loss: 112.224
-19200/69092 Loss: 111.626
-22400/69092 Loss: 110.358
-25600/69092 Loss: 110.847
-28800/69092 Loss: 109.929
-32000/69092 Loss: 112.566
-35200/69092 Loss: 111.338
-38400/69092 Loss: 112.282
-41600/69092 Loss: 112.631
-44800/69092 Loss: 111.255
-48000/69092 Loss: 111.783
-51200/69092 Loss: 110.747
-54400/69092 Loss: 112.228
-57600/69092 Loss: 111.133
-60800/69092 Loss: 112.582
-64000/69092 Loss: 112.125
-67200/69092 Loss: 110.639
-Training time 0:01:57.600120
-Epoch: 203 Average loss: 111.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 344)
-0/69092 Loss: 93.580
-3200/69092 Loss: 110.922
-6400/69092 Loss: 110.754
-9600/69092 Loss: 112.235
-12800/69092 Loss: 111.213
-16000/69092 Loss: 110.708
-19200/69092 Loss: 112.412
-22400/69092 Loss: 112.055
-25600/69092 Loss: 111.254
-28800/69092 Loss: 110.863
-32000/69092 Loss: 111.556
-35200/69092 Loss: 110.194
-38400/69092 Loss: 110.994
-41600/69092 Loss: 112.317
-44800/69092 Loss: 110.494
-48000/69092 Loss: 111.593
-51200/69092 Loss: 112.344
-54400/69092 Loss: 111.820
-57600/69092 Loss: 111.345
-60800/69092 Loss: 110.048
-64000/69092 Loss: 111.832
-67200/69092 Loss: 112.054
-Training time 0:01:56.237356
-Epoch: 204 Average loss: 111.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 345)
-0/69092 Loss: 112.522
-3200/69092 Loss: 111.112
-6400/69092 Loss: 110.098
-9600/69092 Loss: 108.869
-12800/69092 Loss: 112.934
-16000/69092 Loss: 111.414
-19200/69092 Loss: 111.944
-22400/69092 Loss: 113.090
-25600/69092 Loss: 112.490
-28800/69092 Loss: 112.373
-32000/69092 Loss: 112.170
-35200/69092 Loss: 111.583
-38400/69092 Loss: 112.493
-41600/69092 Loss: 111.659
-44800/69092 Loss: 109.277
-48000/69092 Loss: 111.841
-51200/69092 Loss: 111.398
-54400/69092 Loss: 110.888
-57600/69092 Loss: 110.742
-60800/69092 Loss: 111.845
-64000/69092 Loss: 113.225
-67200/69092 Loss: 111.037
-Training time 0:01:57.617241
-Epoch: 205 Average loss: 111.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 346)
-0/69092 Loss: 98.533
-3200/69092 Loss: 111.355
-6400/69092 Loss: 111.611
-9600/69092 Loss: 110.095
-12800/69092 Loss: 111.926
-16000/69092 Loss: 112.762
-19200/69092 Loss: 112.127
-22400/69092 Loss: 109.491
-25600/69092 Loss: 111.587
-28800/69092 Loss: 111.030
-32000/69092 Loss: 111.695
-35200/69092 Loss: 109.720
-38400/69092 Loss: 112.026
-41600/69092 Loss: 110.734
-44800/69092 Loss: 110.859
-48000/69092 Loss: 112.773
-51200/69092 Loss: 110.691
-54400/69092 Loss: 111.574
-57600/69092 Loss: 111.777
-60800/69092 Loss: 111.960
-64000/69092 Loss: 111.923
-67200/69092 Loss: 111.407
-Training time 0:01:56.652164
-Epoch: 206 Average loss: 111.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 347)
-0/69092 Loss: 108.875
-3200/69092 Loss: 110.916
-6400/69092 Loss: 113.648
-9600/69092 Loss: 110.534
-12800/69092 Loss: 111.209
-16000/69092 Loss: 111.274
-19200/69092 Loss: 112.621
-22400/69092 Loss: 110.061
-25600/69092 Loss: 112.428
-28800/69092 Loss: 111.467
-32000/69092 Loss: 111.706
-35200/69092 Loss: 111.864
-38400/69092 Loss: 111.089
-41600/69092 Loss: 111.207
-44800/69092 Loss: 111.968
-48000/69092 Loss: 110.630
-51200/69092 Loss: 109.912
-54400/69092 Loss: 111.795
-57600/69092 Loss: 110.983
-60800/69092 Loss: 110.989
-64000/69092 Loss: 111.718
-67200/69092 Loss: 112.320
-Training time 0:01:56.916312
-Epoch: 207 Average loss: 111.40
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 348)
-0/69092 Loss: 102.599
-3200/69092 Loss: 110.473
-6400/69092 Loss: 111.614
-9600/69092 Loss: 111.271
-12800/69092 Loss: 111.222
-16000/69092 Loss: 111.518
-19200/69092 Loss: 110.553
-22400/69092 Loss: 111.711
-25600/69092 Loss: 112.280
-28800/69092 Loss: 113.308
-32000/69092 Loss: 111.122
-35200/69092 Loss: 110.948
-38400/69092 Loss: 110.553
-41600/69092 Loss: 111.291
-44800/69092 Loss: 111.090
-48000/69092 Loss: 112.110
-51200/69092 Loss: 109.851
-54400/69092 Loss: 111.271
-57600/69092 Loss: 110.337
-60800/69092 Loss: 112.488
-64000/69092 Loss: 112.346
-67200/69092 Loss: 111.697
-Training time 0:01:56.969007
-Epoch: 208 Average loss: 111.35
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 349)
-0/69092 Loss: 113.835
-3200/69092 Loss: 111.938
-6400/69092 Loss: 111.895
-9600/69092 Loss: 109.699
-12800/69092 Loss: 111.054
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-25600/69092 Loss: 111.210
-28800/69092 Loss: 110.937
-32000/69092 Loss: 110.941
-35200/69092 Loss: 111.862
-38400/69092 Loss: 112.476
-41600/69092 Loss: 111.416
-44800/69092 Loss: 109.835
-48000/69092 Loss: 113.591
-51200/69092 Loss: 110.922
-54400/69092 Loss: 112.708
-57600/69092 Loss: 112.562
-60800/69092 Loss: 111.865
-64000/69092 Loss: 109.793
-67200/69092 Loss: 111.836
-Training time 0:01:56.360459
-Epoch: 209 Average loss: 111.51
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 350)
-0/69092 Loss: 120.409
-3200/69092 Loss: 110.850
-6400/69092 Loss: 112.257
-9600/69092 Loss: 113.017
-12800/69092 Loss: 111.456
-16000/69092 Loss: 110.195
-19200/69092 Loss: 111.982
-22400/69092 Loss: 112.190
-25600/69092 Loss: 112.127
-28800/69092 Loss: 111.933
-32000/69092 Loss: 110.376
-35200/69092 Loss: 111.161
-38400/69092 Loss: 112.101
-41600/69092 Loss: 110.839
-44800/69092 Loss: 110.107
-48000/69092 Loss: 111.470
-51200/69092 Loss: 112.179
-54400/69092 Loss: 111.840
-57600/69092 Loss: 110.614
-60800/69092 Loss: 110.808
-64000/69092 Loss: 111.620
-67200/69092 Loss: 111.510
-Training time 0:01:57.590427
-Epoch: 210 Average loss: 111.47
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 351)
-0/69092 Loss: 119.344
-3200/69092 Loss: 112.807
-6400/69092 Loss: 112.348
-9600/69092 Loss: 110.871
-12800/69092 Loss: 111.955
-16000/69092 Loss: 110.985
-19200/69092 Loss: 110.206
-22400/69092 Loss: 111.836
-25600/69092 Loss: 110.782
-28800/69092 Loss: 111.066
-32000/69092 Loss: 113.356
-35200/69092 Loss: 108.950
-38400/69092 Loss: 110.221
-41600/69092 Loss: 109.766
-44800/69092 Loss: 110.668
-48000/69092 Loss: 109.244
-51200/69092 Loss: 112.367
-54400/69092 Loss: 111.290
-57600/69092 Loss: 113.432
-60800/69092 Loss: 112.470
-64000/69092 Loss: 111.769
-67200/69092 Loss: 110.955
-Training time 0:01:57.536802
-Epoch: 211 Average loss: 111.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 352)
-0/69092 Loss: 120.097
-3200/69092 Loss: 110.348
-6400/69092 Loss: 109.759
-9600/69092 Loss: 111.939
-12800/69092 Loss: 111.628
-16000/69092 Loss: 109.937
-19200/69092 Loss: 111.015
-22400/69092 Loss: 109.874
-25600/69092 Loss: 111.871
-28800/69092 Loss: 112.431
-32000/69092 Loss: 111.558
-35200/69092 Loss: 111.477
-38400/69092 Loss: 111.061
-41600/69092 Loss: 111.284
-44800/69092 Loss: 111.224
-48000/69092 Loss: 111.538
-51200/69092 Loss: 110.273
-54400/69092 Loss: 113.683
-57600/69092 Loss: 114.031
-60800/69092 Loss: 111.889
-64000/69092 Loss: 110.906
-67200/69092 Loss: 112.257
-Training time 0:01:59.027080
-Epoch: 212 Average loss: 111.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 353)
-0/69092 Loss: 112.744
-3200/69092 Loss: 111.743
-6400/69092 Loss: 111.099
-9600/69092 Loss: 112.636
-12800/69092 Loss: 110.038
-16000/69092 Loss: 110.172
-19200/69092 Loss: 111.920
-22400/69092 Loss: 111.602
-25600/69092 Loss: 111.908
-28800/69092 Loss: 112.016
-32000/69092 Loss: 112.443
-35200/69092 Loss: 109.461
-38400/69092 Loss: 110.080
-41600/69092 Loss: 111.385
-44800/69092 Loss: 112.291
-48000/69092 Loss: 112.444
-51200/69092 Loss: 110.867
-54400/69092 Loss: 111.104
-57600/69092 Loss: 112.389
-60800/69092 Loss: 111.302
-64000/69092 Loss: 111.587
-67200/69092 Loss: 110.853
-Training time 0:01:57.615160
-Epoch: 213 Average loss: 111.42
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 354)
-0/69092 Loss: 114.279
-3200/69092 Loss: 112.340
-6400/69092 Loss: 110.850
-9600/69092 Loss: 112.539
-12800/69092 Loss: 111.477
-16000/69092 Loss: 110.505
-19200/69092 Loss: 111.526
-22400/69092 Loss: 111.796
-25600/69092 Loss: 112.174
-28800/69092 Loss: 110.404
-32000/69092 Loss: 111.231
-35200/69092 Loss: 111.565
-38400/69092 Loss: 111.532
-41600/69092 Loss: 111.646
-44800/69092 Loss: 109.560
-48000/69092 Loss: 110.412
-51200/69092 Loss: 111.165
-54400/69092 Loss: 111.110
-57600/69092 Loss: 111.434
-60800/69092 Loss: 111.814
-64000/69092 Loss: 112.276
-67200/69092 Loss: 111.237
-Training time 0:01:58.346116
-Epoch: 214 Average loss: 111.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 355)
-0/69092 Loss: 127.044
-3200/69092 Loss: 110.452
-6400/69092 Loss: 111.756
-9600/69092 Loss: 112.551
-12800/69092 Loss: 111.003
-16000/69092 Loss: 112.250
-19200/69092 Loss: 110.165
-22400/69092 Loss: 112.154
-25600/69092 Loss: 110.438
-28800/69092 Loss: 112.979
-32000/69092 Loss: 110.254
-35200/69092 Loss: 109.706
-38400/69092 Loss: 111.473
-41600/69092 Loss: 112.342
-44800/69092 Loss: 111.705
-48000/69092 Loss: 111.665
-51200/69092 Loss: 112.091
-54400/69092 Loss: 111.668
-57600/69092 Loss: 112.842
-60800/69092 Loss: 111.255
-64000/69092 Loss: 110.401
-67200/69092 Loss: 110.209
-Training time 0:01:58.014856
-Epoch: 215 Average loss: 111.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 356)
-0/69092 Loss: 112.351
-3200/69092 Loss: 111.519
-6400/69092 Loss: 111.246
-9600/69092 Loss: 109.853
-12800/69092 Loss: 109.595
-16000/69092 Loss: 111.626
-19200/69092 Loss: 111.506
-22400/69092 Loss: 111.250
-25600/69092 Loss: 111.395
-28800/69092 Loss: 111.913
-32000/69092 Loss: 111.892
-35200/69092 Loss: 111.181
-38400/69092 Loss: 112.370
-41600/69092 Loss: 110.939
-44800/69092 Loss: 110.783
-48000/69092 Loss: 111.743
-51200/69092 Loss: 110.026
-54400/69092 Loss: 110.932
-57600/69092 Loss: 112.053
-60800/69092 Loss: 111.906
-64000/69092 Loss: 111.053
-67200/69092 Loss: 113.081
-Training time 0:01:58.788414
-Epoch: 216 Average loss: 111.35
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 357)
-0/69092 Loss: 121.562
-3200/69092 Loss: 111.542
-6400/69092 Loss: 109.944
-9600/69092 Loss: 112.213
-12800/69092 Loss: 111.913
-16000/69092 Loss: 110.020
-19200/69092 Loss: 111.637
-22400/69092 Loss: 110.192
-25600/69092 Loss: 111.485
-28800/69092 Loss: 111.960
-32000/69092 Loss: 111.698
-35200/69092 Loss: 110.886
-38400/69092 Loss: 111.271
-41600/69092 Loss: 110.022
-44800/69092 Loss: 111.836
-48000/69092 Loss: 110.569
-51200/69092 Loss: 113.301
-54400/69092 Loss: 110.978
-57600/69092 Loss: 111.605
-60800/69092 Loss: 111.127
-64000/69092 Loss: 111.314
-67200/69092 Loss: 112.614
-Training time 0:01:58.957951
-Epoch: 217 Average loss: 111.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 358)
-0/69092 Loss: 102.586
-3200/69092 Loss: 110.779
-6400/69092 Loss: 112.011
-9600/69092 Loss: 110.499
-12800/69092 Loss: 112.280
-16000/69092 Loss: 113.763
-19200/69092 Loss: 112.573
-22400/69092 Loss: 108.902
-25600/69092 Loss: 111.236
-28800/69092 Loss: 109.855
-32000/69092 Loss: 110.905
-35200/69092 Loss: 112.341
-38400/69092 Loss: 111.872
-41600/69092 Loss: 111.001
-44800/69092 Loss: 112.656
-48000/69092 Loss: 108.933
-51200/69092 Loss: 112.074
-54400/69092 Loss: 111.367
-57600/69092 Loss: 111.971
-60800/69092 Loss: 111.967
-64000/69092 Loss: 109.766
-67200/69092 Loss: 111.624
-Training time 0:01:57.840309
-Epoch: 218 Average loss: 111.32
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 359)
-0/69092 Loss: 124.881
-3200/69092 Loss: 109.882
-6400/69092 Loss: 111.695
-9600/69092 Loss: 111.945
-12800/69092 Loss: 111.044
-16000/69092 Loss: 110.048
-19200/69092 Loss: 110.531
-22400/69092 Loss: 111.482
-25600/69092 Loss: 112.433
-28800/69092 Loss: 110.267
-32000/69092 Loss: 112.630
-35200/69092 Loss: 112.747
-38400/69092 Loss: 111.090
-41600/69092 Loss: 111.716
-44800/69092 Loss: 109.714
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-57600/69092 Loss: 112.107
-60800/69092 Loss: 111.284
-64000/69092 Loss: 112.616
-67200/69092 Loss: 110.709
-Training time 0:01:57.654049
-Epoch: 219 Average loss: 111.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 360)
-0/69092 Loss: 107.601
-3200/69092 Loss: 112.450
-6400/69092 Loss: 111.540
-9600/69092 Loss: 111.025
-12800/69092 Loss: 109.177
-16000/69092 Loss: 111.226
-19200/69092 Loss: 109.213
-22400/69092 Loss: 110.742
-25600/69092 Loss: 111.340
-28800/69092 Loss: 110.020
-32000/69092 Loss: 111.061
-35200/69092 Loss: 111.604
-38400/69092 Loss: 113.606
-41600/69092 Loss: 111.543
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-48000/69092 Loss: 110.423
-51200/69092 Loss: 112.450
-54400/69092 Loss: 111.991
-57600/69092 Loss: 112.207
-60800/69092 Loss: 110.035
-64000/69092 Loss: 112.878
-67200/69092 Loss: 111.034
-Training time 0:01:58.261768
-Epoch: 220 Average loss: 111.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 361)
-0/69092 Loss: 110.842
-3200/69092 Loss: 110.316
-6400/69092 Loss: 111.318
-9600/69092 Loss: 111.450
-12800/69092 Loss: 112.726
-16000/69092 Loss: 109.595
-19200/69092 Loss: 110.400
-22400/69092 Loss: 110.424
-25600/69092 Loss: 112.292
-28800/69092 Loss: 112.729
-32000/69092 Loss: 110.775
-35200/69092 Loss: 111.294
-38400/69092 Loss: 110.349
-41600/69092 Loss: 109.950
-44800/69092 Loss: 111.693
-48000/69092 Loss: 113.166
-51200/69092 Loss: 111.447
-54400/69092 Loss: 110.477
-57600/69092 Loss: 112.263
-60800/69092 Loss: 113.131
-64000/69092 Loss: 112.114
-67200/69092 Loss: 110.500
-Training time 0:01:57.627358
-Epoch: 221 Average loss: 111.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 362)
-0/69092 Loss: 109.257
-3200/69092 Loss: 111.263
-6400/69092 Loss: 110.685
-9600/69092 Loss: 112.333
-12800/69092 Loss: 110.178
-16000/69092 Loss: 109.855
-19200/69092 Loss: 110.781
-22400/69092 Loss: 110.541
-25600/69092 Loss: 111.465
-28800/69092 Loss: 113.951
-32000/69092 Loss: 109.545
-35200/69092 Loss: 109.706
-38400/69092 Loss: 109.152
-41600/69092 Loss: 112.902
-44800/69092 Loss: 112.605
-48000/69092 Loss: 111.139
-51200/69092 Loss: 111.587
-54400/69092 Loss: 111.706
-57600/69092 Loss: 111.629
-60800/69092 Loss: 111.455
-64000/69092 Loss: 112.777
-67200/69092 Loss: 112.410
-Training time 0:01:58.640351
-Epoch: 222 Average loss: 111.29
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 363)
-0/69092 Loss: 127.826
-3200/69092 Loss: 111.929
-6400/69092 Loss: 110.048
-9600/69092 Loss: 110.230
-12800/69092 Loss: 110.655
-16000/69092 Loss: 112.476
-19200/69092 Loss: 111.954
-22400/69092 Loss: 112.187
-25600/69092 Loss: 111.901
-28800/69092 Loss: 111.431
-32000/69092 Loss: 110.900
-35200/69092 Loss: 110.733
-38400/69092 Loss: 110.865
-41600/69092 Loss: 111.837
-44800/69092 Loss: 111.534
-48000/69092 Loss: 110.931
-51200/69092 Loss: 111.468
-54400/69092 Loss: 110.263
-57600/69092 Loss: 111.144
-60800/69092 Loss: 111.499
-64000/69092 Loss: 113.455
-67200/69092 Loss: 111.727
-Training time 0:01:57.344704
-Epoch: 223 Average loss: 111.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 364)
-0/69092 Loss: 115.922
-3200/69092 Loss: 110.742
-6400/69092 Loss: 112.816
-9600/69092 Loss: 113.036
-12800/69092 Loss: 108.655
-16000/69092 Loss: 110.480
-19200/69092 Loss: 111.792
-22400/69092 Loss: 112.388
-25600/69092 Loss: 111.947
-28800/69092 Loss: 112.240
-32000/69092 Loss: 111.292
-35200/69092 Loss: 109.624
-38400/69092 Loss: 109.701
-41600/69092 Loss: 112.976
-44800/69092 Loss: 111.058
-48000/69092 Loss: 110.137
-51200/69092 Loss: 111.092
-54400/69092 Loss: 109.685
-57600/69092 Loss: 112.904
-60800/69092 Loss: 111.244
-64000/69092 Loss: 110.958
-67200/69092 Loss: 110.772
-Training time 0:01:57.242663
-Epoch: 224 Average loss: 111.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 365)
-0/69092 Loss: 105.513
-3200/69092 Loss: 111.115
-6400/69092 Loss: 110.288
-9600/69092 Loss: 111.020
-12800/69092 Loss: 113.001
-16000/69092 Loss: 110.015
-19200/69092 Loss: 111.040
-22400/69092 Loss: 112.315
-25600/69092 Loss: 111.176
-28800/69092 Loss: 111.426
-32000/69092 Loss: 110.235
-35200/69092 Loss: 112.121
-38400/69092 Loss: 110.873
-41600/69092 Loss: 112.275
-44800/69092 Loss: 111.597
-48000/69092 Loss: 110.714
-51200/69092 Loss: 112.752
-54400/69092 Loss: 111.250
-57600/69092 Loss: 110.235
-60800/69092 Loss: 111.397
-64000/69092 Loss: 109.267
-67200/69092 Loss: 110.353
-Training time 0:01:58.334069
-Epoch: 225 Average loss: 111.20
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 366)
-0/69092 Loss: 118.099
-3200/69092 Loss: 110.454
-6400/69092 Loss: 110.810
-9600/69092 Loss: 110.643
-12800/69092 Loss: 112.621
-16000/69092 Loss: 113.077
-19200/69092 Loss: 112.072
-22400/69092 Loss: 111.309
-25600/69092 Loss: 111.833
-28800/69092 Loss: 110.233
-32000/69092 Loss: 112.047
-35200/69092 Loss: 110.325
-38400/69092 Loss: 110.898
-41600/69092 Loss: 110.207
-44800/69092 Loss: 111.931
-48000/69092 Loss: 111.206
-51200/69092 Loss: 112.358
-54400/69092 Loss: 112.203
-57600/69092 Loss: 111.354
-60800/69092 Loss: 110.269
-64000/69092 Loss: 111.339
-67200/69092 Loss: 112.139
-Training time 0:01:56.571158
-Epoch: 226 Average loss: 111.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 367)
-0/69092 Loss: 105.174
-3200/69092 Loss: 111.525
-6400/69092 Loss: 110.272
-9600/69092 Loss: 111.046
-12800/69092 Loss: 109.603
-16000/69092 Loss: 110.997
-19200/69092 Loss: 110.737
-22400/69092 Loss: 111.180
-25600/69092 Loss: 112.482
-28800/69092 Loss: 112.495
-32000/69092 Loss: 112.216
-35200/69092 Loss: 109.527
-38400/69092 Loss: 110.979
-41600/69092 Loss: 110.004
-44800/69092 Loss: 111.313
-48000/69092 Loss: 111.064
-51200/69092 Loss: 111.682
-54400/69092 Loss: 110.034
-57600/69092 Loss: 110.902
-60800/69092 Loss: 111.099
-64000/69092 Loss: 111.124
-67200/69092 Loss: 112.292
-Training time 0:01:57.296885
-Epoch: 227 Average loss: 111.12
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 368)
-0/69092 Loss: 106.661
-3200/69092 Loss: 110.437
-6400/69092 Loss: 110.442
-9600/69092 Loss: 111.701
-12800/69092 Loss: 110.894
-16000/69092 Loss: 110.809
-19200/69092 Loss: 110.898
-22400/69092 Loss: 111.743
-25600/69092 Loss: 113.289
-28800/69092 Loss: 111.461
-32000/69092 Loss: 109.851
-35200/69092 Loss: 111.512
-38400/69092 Loss: 110.425
-41600/69092 Loss: 109.910
-44800/69092 Loss: 110.566
-48000/69092 Loss: 110.228
-51200/69092 Loss: 112.979
-54400/69092 Loss: 111.993
-57600/69092 Loss: 113.125
-60800/69092 Loss: 111.460
-64000/69092 Loss: 112.063
-67200/69092 Loss: 110.471
-Training time 0:01:57.932701
-Epoch: 228 Average loss: 111.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 369)
-0/69092 Loss: 109.460
-3200/69092 Loss: 109.768
-6400/69092 Loss: 111.855
-9600/69092 Loss: 111.658
-12800/69092 Loss: 110.377
-16000/69092 Loss: 111.898
-19200/69092 Loss: 110.089
-22400/69092 Loss: 111.923
-25600/69092 Loss: 112.154
-28800/69092 Loss: 111.484
-32000/69092 Loss: 110.921
-35200/69092 Loss: 110.930
-38400/69092 Loss: 110.767
-41600/69092 Loss: 111.373
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-48000/69092 Loss: 111.928
-51200/69092 Loss: 111.844
-54400/69092 Loss: 110.907
-57600/69092 Loss: 111.087
-60800/69092 Loss: 111.255
-64000/69092 Loss: 111.467
-67200/69092 Loss: 110.572
-Training time 0:01:56.896235
-Epoch: 229 Average loss: 111.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 370)
-0/69092 Loss: 100.697
-3200/69092 Loss: 111.961
-6400/69092 Loss: 110.156
-9600/69092 Loss: 110.939
-12800/69092 Loss: 111.157
-16000/69092 Loss: 112.250
-19200/69092 Loss: 111.242
-22400/69092 Loss: 111.208
-25600/69092 Loss: 111.491
-28800/69092 Loss: 110.459
-32000/69092 Loss: 109.915
-35200/69092 Loss: 111.903
-38400/69092 Loss: 109.792
-41600/69092 Loss: 111.766
-44800/69092 Loss: 111.266
-48000/69092 Loss: 113.149
-51200/69092 Loss: 111.914
-54400/69092 Loss: 110.529
-57600/69092 Loss: 111.267
-60800/69092 Loss: 110.886
-64000/69092 Loss: 111.560
-67200/69092 Loss: 111.441
-Training time 0:01:57.565134
-Epoch: 230 Average loss: 111.25
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 371)
-0/69092 Loss: 107.621
-3200/69092 Loss: 111.732
-6400/69092 Loss: 110.538
-9600/69092 Loss: 112.264
-12800/69092 Loss: 109.527
-16000/69092 Loss: 111.364
-19200/69092 Loss: 113.838
-22400/69092 Loss: 112.676
-25600/69092 Loss: 110.422
-28800/69092 Loss: 112.439
-32000/69092 Loss: 110.913
-35200/69092 Loss: 110.436
-38400/69092 Loss: 111.448
-41600/69092 Loss: 109.956
-44800/69092 Loss: 110.899
-48000/69092 Loss: 111.218
-51200/69092 Loss: 109.792
-54400/69092 Loss: 112.106
-57600/69092 Loss: 109.574
-60800/69092 Loss: 110.445
-64000/69092 Loss: 111.070
-67200/69092 Loss: 111.572
-Training time 0:01:57.721162
-Epoch: 231 Average loss: 111.14
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 372)
-0/69092 Loss: 118.985
-3200/69092 Loss: 111.589
-6400/69092 Loss: 110.570
-9600/69092 Loss: 112.050
-12800/69092 Loss: 110.363
-16000/69092 Loss: 110.479
-19200/69092 Loss: 110.818
-22400/69092 Loss: 110.467
-25600/69092 Loss: 111.968
-28800/69092 Loss: 112.022
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-35200/69092 Loss: 110.381
-38400/69092 Loss: 112.018
-41600/69092 Loss: 110.860
-44800/69092 Loss: 111.434
-48000/69092 Loss: 111.930
-51200/69092 Loss: 109.133
-54400/69092 Loss: 110.783
-57600/69092 Loss: 109.955
-60800/69092 Loss: 112.031
-64000/69092 Loss: 113.308
-67200/69092 Loss: 110.796
-Training time 0:01:56.902076
-Epoch: 232 Average loss: 111.25
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 373)
-0/69092 Loss: 107.782
-3200/69092 Loss: 112.229
-6400/69092 Loss: 111.837
-9600/69092 Loss: 111.382
-12800/69092 Loss: 110.122
-16000/69092 Loss: 112.720
-19200/69092 Loss: 110.917
-22400/69092 Loss: 110.515
-25600/69092 Loss: 111.300
-28800/69092 Loss: 111.422
-32000/69092 Loss: 110.690
-35200/69092 Loss: 111.913
-38400/69092 Loss: 111.768
-41600/69092 Loss: 111.117
-44800/69092 Loss: 110.936
-48000/69092 Loss: 109.291
-51200/69092 Loss: 111.271
-54400/69092 Loss: 110.415
-57600/69092 Loss: 111.206
-60800/69092 Loss: 111.269
-64000/69092 Loss: 112.456
-67200/69092 Loss: 112.000
-Training time 0:01:58.284692
-Epoch: 233 Average loss: 111.27
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 374)
-0/69092 Loss: 122.656
-3200/69092 Loss: 110.646
-6400/69092 Loss: 110.087
-9600/69092 Loss: 111.240
-12800/69092 Loss: 111.472
-16000/69092 Loss: 111.305
-19200/69092 Loss: 110.153
-22400/69092 Loss: 112.367
-25600/69092 Loss: 111.038
-28800/69092 Loss: 110.239
-32000/69092 Loss: 110.406
-35200/69092 Loss: 111.731
-38400/69092 Loss: 110.514
-41600/69092 Loss: 108.850
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-48000/69092 Loss: 112.646
-51200/69092 Loss: 113.490
-54400/69092 Loss: 111.335
-57600/69092 Loss: 111.706
-60800/69092 Loss: 112.250
-64000/69092 Loss: 111.484
-67200/69092 Loss: 112.740
-Training time 0:01:56.956137
-Epoch: 234 Average loss: 111.28
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 375)
-0/69092 Loss: 110.892
-3200/69092 Loss: 110.887
-6400/69092 Loss: 110.948
-9600/69092 Loss: 111.023
-12800/69092 Loss: 111.547
-16000/69092 Loss: 112.227
-19200/69092 Loss: 111.496
-22400/69092 Loss: 112.579
-25600/69092 Loss: 110.428
-28800/69092 Loss: 110.210
-32000/69092 Loss: 110.786
-35200/69092 Loss: 111.905
-38400/69092 Loss: 110.357
-41600/69092 Loss: 111.679
-44800/69092 Loss: 110.700
-48000/69092 Loss: 109.927
-51200/69092 Loss: 112.556
-54400/69092 Loss: 111.367
-57600/69092 Loss: 110.971
-60800/69092 Loss: 111.714
-64000/69092 Loss: 111.642
-67200/69092 Loss: 110.445
-Training time 0:01:56.701332
-Epoch: 235 Average loss: 111.24
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 376)
-0/69092 Loss: 102.721
-3200/69092 Loss: 110.008
-6400/69092 Loss: 111.771
-9600/69092 Loss: 110.820
-12800/69092 Loss: 110.292
-16000/69092 Loss: 111.429
-19200/69092 Loss: 110.661
-22400/69092 Loss: 111.941
-25600/69092 Loss: 110.882
-28800/69092 Loss: 111.950
-32000/69092 Loss: 112.068
-35200/69092 Loss: 110.569
-38400/69092 Loss: 112.274
-41600/69092 Loss: 109.851
-44800/69092 Loss: 110.529
-48000/69092 Loss: 112.117
-51200/69092 Loss: 110.190
-54400/69092 Loss: 111.345
-57600/69092 Loss: 110.456
-60800/69092 Loss: 112.395
-64000/69092 Loss: 111.087
-67200/69092 Loss: 112.002
-Training time 0:01:57.784069
-Epoch: 236 Average loss: 111.18
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 377)
-0/69092 Loss: 108.712
-3200/69092 Loss: 112.343
-6400/69092 Loss: 112.327
-9600/69092 Loss: 109.230
-12800/69092 Loss: 112.186
-16000/69092 Loss: 109.064
-19200/69092 Loss: 113.283
-22400/69092 Loss: 111.513
-25600/69092 Loss: 110.349
-28800/69092 Loss: 112.609
-32000/69092 Loss: 109.786
-35200/69092 Loss: 109.445
-38400/69092 Loss: 112.362
-41600/69092 Loss: 112.131
-44800/69092 Loss: 110.724
-48000/69092 Loss: 112.368
-51200/69092 Loss: 110.325
-54400/69092 Loss: 111.311
-57600/69092 Loss: 110.564
-60800/69092 Loss: 112.719
-64000/69092 Loss: 112.450
-67200/69092 Loss: 112.526
-Training time 0:01:57.479259
-Epoch: 237 Average loss: 111.36
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 378)
-0/69092 Loss: 109.185
-3200/69092 Loss: 110.635
-6400/69092 Loss: 111.992
-9600/69092 Loss: 111.282
-12800/69092 Loss: 108.316
-16000/69092 Loss: 111.221
-19200/69092 Loss: 111.703
-22400/69092 Loss: 110.000
-25600/69092 Loss: 112.576
-28800/69092 Loss: 111.549
-32000/69092 Loss: 110.746
-35200/69092 Loss: 111.515
-38400/69092 Loss: 109.555
-41600/69092 Loss: 110.974
-44800/69092 Loss: 110.739
-48000/69092 Loss: 111.645
-51200/69092 Loss: 112.599
-54400/69092 Loss: 112.298
-57600/69092 Loss: 112.291
-60800/69092 Loss: 109.475
-64000/69092 Loss: 112.657
-67200/69092 Loss: 111.482
-Training time 0:01:58.070004
-Epoch: 238 Average loss: 111.12
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 379)
-0/69092 Loss: 103.191
-3200/69092 Loss: 111.912
-6400/69092 Loss: 110.286
-9600/69092 Loss: 111.739
-12800/69092 Loss: 110.873
-16000/69092 Loss: 111.077
-19200/69092 Loss: 112.737
-22400/69092 Loss: 111.359
-25600/69092 Loss: 110.602
-28800/69092 Loss: 111.192
-32000/69092 Loss: 109.452
-35200/69092 Loss: 110.769
-38400/69092 Loss: 109.890
-41600/69092 Loss: 114.046
-44800/69092 Loss: 110.270
-48000/69092 Loss: 110.798
-51200/69092 Loss: 111.544
-54400/69092 Loss: 111.508
-57600/69092 Loss: 110.659
-60800/69092 Loss: 110.040
-64000/69092 Loss: 112.591
-67200/69092 Loss: 111.184
-Training time 0:01:57.766793
-Epoch: 239 Average loss: 111.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 380)
-0/69092 Loss: 113.920
-3200/69092 Loss: 109.719
-6400/69092 Loss: 110.938
-9600/69092 Loss: 111.372
-12800/69092 Loss: 110.764
-16000/69092 Loss: 110.970
-19200/69092 Loss: 111.281
-22400/69092 Loss: 112.916
-25600/69092 Loss: 110.118
-28800/69092 Loss: 111.521
-32000/69092 Loss: 110.514
-35200/69092 Loss: 110.994
-38400/69092 Loss: 111.896
-41600/69092 Loss: 112.232
-44800/69092 Loss: 112.411
-48000/69092 Loss: 111.327
-51200/69092 Loss: 110.128
-54400/69092 Loss: 111.865
-57600/69092 Loss: 112.046
-60800/69092 Loss: 110.568
-64000/69092 Loss: 108.884
-67200/69092 Loss: 112.514
-Training time 0:01:58.447590
-Epoch: 240 Average loss: 111.18
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 381)
-0/69092 Loss: 106.667
-3200/69092 Loss: 110.994
-6400/69092 Loss: 111.828
-9600/69092 Loss: 110.403
-12800/69092 Loss: 110.869
-16000/69092 Loss: 111.339
-19200/69092 Loss: 110.626
-22400/69092 Loss: 112.181
-25600/69092 Loss: 109.524
-28800/69092 Loss: 110.179
-32000/69092 Loss: 112.797
-35200/69092 Loss: 112.763
-38400/69092 Loss: 112.085
-41600/69092 Loss: 111.966
-44800/69092 Loss: 108.199
-48000/69092 Loss: 111.263
-51200/69092 Loss: 111.702
-54400/69092 Loss: 111.092
-57600/69092 Loss: 111.441
-60800/69092 Loss: 110.747
-64000/69092 Loss: 109.926
-67200/69092 Loss: 111.399
-Training time 0:01:57.672062
-Epoch: 241 Average loss: 111.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 382)
-0/69092 Loss: 118.522
-3200/69092 Loss: 113.003
-6400/69092 Loss: 111.845
-9600/69092 Loss: 110.895
-12800/69092 Loss: 110.848
-16000/69092 Loss: 111.250
-19200/69092 Loss: 110.447
-22400/69092 Loss: 112.390
-25600/69092 Loss: 111.955
-28800/69092 Loss: 109.747
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-35200/69092 Loss: 112.436
-38400/69092 Loss: 109.578
-41600/69092 Loss: 109.520
-44800/69092 Loss: 112.748
-48000/69092 Loss: 113.196
-51200/69092 Loss: 110.835
-54400/69092 Loss: 112.373
-57600/69092 Loss: 112.555
-60800/69092 Loss: 110.195
-64000/69092 Loss: 112.207
-67200/69092 Loss: 110.139
-Training time 0:01:58.554527
-Epoch: 242 Average loss: 111.32
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 383)
-0/69092 Loss: 110.692
-3200/69092 Loss: 109.538
-6400/69092 Loss: 111.412
-9600/69092 Loss: 111.209
-12800/69092 Loss: 110.019
-16000/69092 Loss: 113.119
-19200/69092 Loss: 111.463
-22400/69092 Loss: 110.923
-25600/69092 Loss: 111.187
-28800/69092 Loss: 110.448
-32000/69092 Loss: 111.356
-35200/69092 Loss: 111.989
-38400/69092 Loss: 112.339
-41600/69092 Loss: 111.679
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-51200/69092 Loss: 110.691
-54400/69092 Loss: 110.423
-57600/69092 Loss: 110.764
-60800/69092 Loss: 111.110
-64000/69092 Loss: 111.982
-67200/69092 Loss: 109.894
-Training time 0:01:57.696635
-Epoch: 243 Average loss: 111.11
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 384)
-0/69092 Loss: 113.028
-3200/69092 Loss: 111.658
-6400/69092 Loss: 111.408
-9600/69092 Loss: 110.169
-12800/69092 Loss: 110.419
-16000/69092 Loss: 111.114
-19200/69092 Loss: 108.767
-22400/69092 Loss: 110.102
-25600/69092 Loss: 110.452
-28800/69092 Loss: 109.772
-32000/69092 Loss: 110.774
-35200/69092 Loss: 110.432
-38400/69092 Loss: 111.535
-41600/69092 Loss: 112.125
-44800/69092 Loss: 112.251
-48000/69092 Loss: 110.962
-51200/69092 Loss: 112.463
-54400/69092 Loss: 110.419
-57600/69092 Loss: 111.509
-60800/69092 Loss: 111.829
-64000/69092 Loss: 111.827
-67200/69092 Loss: 111.953
-Training time 0:01:57.499486
-Epoch: 244 Average loss: 111.11
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 385)
-0/69092 Loss: 111.727
-3200/69092 Loss: 111.671
-6400/69092 Loss: 111.128
-9600/69092 Loss: 110.674
-12800/69092 Loss: 110.573
-16000/69092 Loss: 111.281
-19200/69092 Loss: 111.655
-22400/69092 Loss: 111.609
-25600/69092 Loss: 109.946
-28800/69092 Loss: 110.985
-32000/69092 Loss: 112.240
-35200/69092 Loss: 111.988
-38400/69092 Loss: 110.245
-41600/69092 Loss: 110.574
-44800/69092 Loss: 111.236
-48000/69092 Loss: 111.256
-51200/69092 Loss: 112.173
-54400/69092 Loss: 110.117
-57600/69092 Loss: 110.748
-60800/69092 Loss: 109.949
-64000/69092 Loss: 111.060
-67200/69092 Loss: 112.144
-Training time 0:01:57.728370
-Epoch: 245 Average loss: 111.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 386)
-0/69092 Loss: 110.880
-3200/69092 Loss: 111.216
-6400/69092 Loss: 111.107
-9600/69092 Loss: 110.549
-12800/69092 Loss: 112.441
-16000/69092 Loss: 111.091
-19200/69092 Loss: 111.000
-22400/69092 Loss: 110.637
-25600/69092 Loss: 111.768
-28800/69092 Loss: 109.734
-32000/69092 Loss: 111.293
-35200/69092 Loss: 111.020
-38400/69092 Loss: 111.124
-41600/69092 Loss: 111.152
-44800/69092 Loss: 112.918
-48000/69092 Loss: 110.081
-51200/69092 Loss: 109.203
-54400/69092 Loss: 111.268
-57600/69092 Loss: 112.532
-60800/69092 Loss: 111.184
-64000/69092 Loss: 110.975
-67200/69092 Loss: 110.599
-Training time 0:01:59.189433
-Epoch: 246 Average loss: 111.12
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 387)
-0/69092 Loss: 119.276
-3200/69092 Loss: 109.900
-6400/69092 Loss: 111.798
-9600/69092 Loss: 110.056
-12800/69092 Loss: 110.956
-16000/69092 Loss: 111.421
-19200/69092 Loss: 110.138
-22400/69092 Loss: 110.850
-25600/69092 Loss: 112.589
-28800/69092 Loss: 110.275
-32000/69092 Loss: 112.987
-35200/69092 Loss: 110.354
-38400/69092 Loss: 110.669
-41600/69092 Loss: 111.464
-44800/69092 Loss: 112.296
-48000/69092 Loss: 107.889
-51200/69092 Loss: 110.713
-54400/69092 Loss: 111.676
-57600/69092 Loss: 110.659
-60800/69092 Loss: 112.807
-64000/69092 Loss: 111.888
-67200/69092 Loss: 111.914
-Training time 0:01:57.338323
-Epoch: 247 Average loss: 111.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 388)
-0/69092 Loss: 114.700
-3200/69092 Loss: 111.241
-6400/69092 Loss: 111.656
-9600/69092 Loss: 112.026
-12800/69092 Loss: 110.048
-16000/69092 Loss: 110.723
-19200/69092 Loss: 110.779
-22400/69092 Loss: 109.860
-25600/69092 Loss: 111.066
-28800/69092 Loss: 110.062
-32000/69092 Loss: 112.445
-35200/69092 Loss: 109.649
-38400/69092 Loss: 111.172
-41600/69092 Loss: 110.447
-44800/69092 Loss: 112.813
-48000/69092 Loss: 110.219
-51200/69092 Loss: 112.625
-54400/69092 Loss: 113.060
-57600/69092 Loss: 109.788
-60800/69092 Loss: 113.112
-64000/69092 Loss: 111.282
-67200/69092 Loss: 110.880
-Training time 0:01:58.430439
-Epoch: 248 Average loss: 111.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 389)
-0/69092 Loss: 103.736
-3200/69092 Loss: 109.705
-6400/69092 Loss: 111.352
-9600/69092 Loss: 110.496
-12800/69092 Loss: 110.735
-16000/69092 Loss: 109.864
-19200/69092 Loss: 110.467
-22400/69092 Loss: 111.431
-25600/69092 Loss: 110.229
-28800/69092 Loss: 112.154
-32000/69092 Loss: 110.671
-35200/69092 Loss: 111.736
-38400/69092 Loss: 112.159
-41600/69092 Loss: 110.002
-44800/69092 Loss: 113.132
-48000/69092 Loss: 111.088
-51200/69092 Loss: 111.827
-54400/69092 Loss: 111.049
-57600/69092 Loss: 111.497
-60800/69092 Loss: 111.336
-64000/69092 Loss: 111.809
-67200/69092 Loss: 111.159
-Training time 0:01:57.369860
-Epoch: 249 Average loss: 111.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 390)
-0/69092 Loss: 123.498
-3200/69092 Loss: 111.731
-6400/69092 Loss: 109.836
-9600/69092 Loss: 111.213
-12800/69092 Loss: 111.127
-16000/69092 Loss: 112.301
-19200/69092 Loss: 111.047
-22400/69092 Loss: 112.960
-25600/69092 Loss: 111.261
-28800/69092 Loss: 111.291
-32000/69092 Loss: 112.719
-35200/69092 Loss: 110.935
-38400/69092 Loss: 111.477
-41600/69092 Loss: 111.206
-44800/69092 Loss: 110.188
-48000/69092 Loss: 109.406
-51200/69092 Loss: 110.845
-54400/69092 Loss: 111.418
-57600/69092 Loss: 112.339
-60800/69092 Loss: 109.618
-64000/69092 Loss: 110.230
-67200/69092 Loss: 110.452
-Training time 0:01:57.411439
-Epoch: 250 Average loss: 111.17
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 391)
-0/69092 Loss: 106.357
-3200/69092 Loss: 110.279
-6400/69092 Loss: 110.361
-9600/69092 Loss: 113.076
-12800/69092 Loss: 111.444
-16000/69092 Loss: 110.781
-19200/69092 Loss: 109.138
-22400/69092 Loss: 111.925
-25600/69092 Loss: 109.538
-28800/69092 Loss: 111.920
-32000/69092 Loss: 111.026
-35200/69092 Loss: 110.586
-38400/69092 Loss: 113.298
-41600/69092 Loss: 111.047
-44800/69092 Loss: 110.734
-48000/69092 Loss: 110.385
-51200/69092 Loss: 111.447
-54400/69092 Loss: 111.839
-57600/69092 Loss: 111.870
-60800/69092 Loss: 111.131
-64000/69092 Loss: 110.217
-67200/69092 Loss: 111.671
-Training time 0:01:57.431767
-Epoch: 251 Average loss: 111.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 392)
-0/69092 Loss: 102.804
-3200/69092 Loss: 110.917
-6400/69092 Loss: 111.240
-9600/69092 Loss: 111.921
-12800/69092 Loss: 111.686
-16000/69092 Loss: 110.836
-19200/69092 Loss: 110.360
-22400/69092 Loss: 112.078
-25600/69092 Loss: 109.073
-28800/69092 Loss: 113.623
-32000/69092 Loss: 112.233
-35200/69092 Loss: 111.018
-38400/69092 Loss: 110.364
-41600/69092 Loss: 111.294
-44800/69092 Loss: 111.601
-48000/69092 Loss: 110.258
-51200/69092 Loss: 111.271
-54400/69092 Loss: 111.440
-57600/69092 Loss: 111.215
-60800/69092 Loss: 111.404
-64000/69092 Loss: 110.972
-67200/69092 Loss: 110.816
-Training time 0:01:57.637421
-Epoch: 252 Average loss: 111.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 393)
-0/69092 Loss: 108.239
-3200/69092 Loss: 110.886
-6400/69092 Loss: 113.579
-9600/69092 Loss: 110.798
-12800/69092 Loss: 108.050
-16000/69092 Loss: 110.297
-19200/69092 Loss: 110.946
-22400/69092 Loss: 112.451
-25600/69092 Loss: 113.043
-28800/69092 Loss: 110.665
-32000/69092 Loss: 110.870
-35200/69092 Loss: 111.911
-38400/69092 Loss: 112.313
-41600/69092 Loss: 109.459
-44800/69092 Loss: 110.712
-48000/69092 Loss: 110.312
-51200/69092 Loss: 111.116
-54400/69092 Loss: 110.275
-57600/69092 Loss: 112.778
-60800/69092 Loss: 112.580
-64000/69092 Loss: 109.848
-67200/69092 Loss: 112.238
-Training time 0:01:56.937335
-Epoch: 253 Average loss: 111.20
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 394)
-0/69092 Loss: 113.377
-3200/69092 Loss: 112.926
-6400/69092 Loss: 111.311
-9600/69092 Loss: 109.904
-12800/69092 Loss: 110.220
-16000/69092 Loss: 111.905
-19200/69092 Loss: 110.879
-22400/69092 Loss: 110.318
-25600/69092 Loss: 111.719
-28800/69092 Loss: 111.584
-32000/69092 Loss: 110.900
-35200/69092 Loss: 112.835
-38400/69092 Loss: 111.440
-41600/69092 Loss: 112.075
-44800/69092 Loss: 111.887
-48000/69092 Loss: 112.226
-51200/69092 Loss: 109.887
-54400/69092 Loss: 110.785
-57600/69092 Loss: 110.074
-60800/69092 Loss: 110.514
-64000/69092 Loss: 110.812
-67200/69092 Loss: 111.522
-Training time 0:01:56.496175
-Epoch: 254 Average loss: 111.27
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 395)
-0/69092 Loss: 125.020
-3200/69092 Loss: 111.732
-6400/69092 Loss: 111.201
-9600/69092 Loss: 109.565
-12800/69092 Loss: 112.074
-16000/69092 Loss: 110.631
-19200/69092 Loss: 109.777
-22400/69092 Loss: 111.223
-25600/69092 Loss: 112.449
-28800/69092 Loss: 112.911
-32000/69092 Loss: 109.928
-35200/69092 Loss: 110.396
-38400/69092 Loss: 112.070
-41600/69092 Loss: 111.047
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-48000/69092 Loss: 109.342
-51200/69092 Loss: 112.822
-54400/69092 Loss: 108.774
-57600/69092 Loss: 109.953
-60800/69092 Loss: 110.226
-64000/69092 Loss: 110.831
-67200/69092 Loss: 111.720
-Training time 0:01:57.038958
-Epoch: 255 Average loss: 111.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 396)
-0/69092 Loss: 109.533
-3200/69092 Loss: 111.231
-6400/69092 Loss: 109.497
-9600/69092 Loss: 109.054
-12800/69092 Loss: 110.814
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-19200/69092 Loss: 111.885
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-28800/69092 Loss: 111.529
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-35200/69092 Loss: 110.608
-38400/69092 Loss: 110.200
-41600/69092 Loss: 110.879
-44800/69092 Loss: 112.661
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-54400/69092 Loss: 110.193
-57600/69092 Loss: 111.437
-60800/69092 Loss: 110.753
-64000/69092 Loss: 110.284
-67200/69092 Loss: 110.475
-Training time 0:01:57.300419
-Epoch: 256 Average loss: 110.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 397)
-0/69092 Loss: 119.043
-3200/69092 Loss: 110.694
-6400/69092 Loss: 112.449
-9600/69092 Loss: 110.888
-12800/69092 Loss: 112.096
-16000/69092 Loss: 111.366
-19200/69092 Loss: 111.170
-22400/69092 Loss: 111.517
-25600/69092 Loss: 112.610
-28800/69092 Loss: 110.832
-32000/69092 Loss: 110.499
-35200/69092 Loss: 111.410
-38400/69092 Loss: 111.158
-41600/69092 Loss: 110.478
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-48000/69092 Loss: 110.847
-51200/69092 Loss: 110.402
-54400/69092 Loss: 112.098
-57600/69092 Loss: 109.922
-60800/69092 Loss: 110.733
-64000/69092 Loss: 113.063
-67200/69092 Loss: 110.606
-Training time 0:01:57.780238
-Epoch: 257 Average loss: 111.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 398)
-0/69092 Loss: 117.179
-3200/69092 Loss: 111.384
-6400/69092 Loss: 109.683
-9600/69092 Loss: 109.482
-12800/69092 Loss: 110.988
-16000/69092 Loss: 111.890
-19200/69092 Loss: 111.074
-22400/69092 Loss: 111.664
-25600/69092 Loss: 110.090
-28800/69092 Loss: 110.135
-32000/69092 Loss: 110.975
-35200/69092 Loss: 112.127
-38400/69092 Loss: 112.769
-41600/69092 Loss: 110.558
-44800/69092 Loss: 112.651
-48000/69092 Loss: 109.083
-51200/69092 Loss: 110.386
-54400/69092 Loss: 110.048
-57600/69092 Loss: 112.158
-60800/69092 Loss: 111.103
-64000/69092 Loss: 112.057
-67200/69092 Loss: 111.740
-Training time 0:01:58.561590
-Epoch: 258 Average loss: 111.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 399)
-0/69092 Loss: 118.334
-3200/69092 Loss: 109.569
-6400/69092 Loss: 111.863
-9600/69092 Loss: 110.048
-12800/69092 Loss: 111.313
-16000/69092 Loss: 111.699
-19200/69092 Loss: 110.905
-22400/69092 Loss: 112.432
-25600/69092 Loss: 111.223
-28800/69092 Loss: 109.268
-32000/69092 Loss: 111.676
-35200/69092 Loss: 113.159
-38400/69092 Loss: 111.500
-41600/69092 Loss: 109.357
-44800/69092 Loss: 110.880
-48000/69092 Loss: 109.824
-51200/69092 Loss: 110.635
-54400/69092 Loss: 111.235
-57600/69092 Loss: 110.958
-60800/69092 Loss: 111.464
-64000/69092 Loss: 111.591
-67200/69092 Loss: 111.618
-Training time 0:01:56.658825
-Epoch: 259 Average loss: 111.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 400)
-0/69092 Loss: 99.918
-3200/69092 Loss: 110.536
-6400/69092 Loss: 111.087
-9600/69092 Loss: 112.079
-12800/69092 Loss: 111.291
-16000/69092 Loss: 111.590
-19200/69092 Loss: 111.152
-22400/69092 Loss: 109.990
-25600/69092 Loss: 111.403
-28800/69092 Loss: 111.198
-32000/69092 Loss: 109.055
-35200/69092 Loss: 111.210
-38400/69092 Loss: 111.335
-41600/69092 Loss: 108.108
-44800/69092 Loss: 112.186
-48000/69092 Loss: 111.355
-51200/69092 Loss: 111.126
-54400/69092 Loss: 110.002
-57600/69092 Loss: 111.158
-60800/69092 Loss: 112.760
-64000/69092 Loss: 111.019
-67200/69092 Loss: 110.575
-Training time 0:01:57.564294
-Epoch: 260 Average loss: 110.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 401)
-0/69092 Loss: 102.919
-3200/69092 Loss: 111.334
-6400/69092 Loss: 110.592
-9600/69092 Loss: 111.426
-12800/69092 Loss: 110.922
-16000/69092 Loss: 111.627
-19200/69092 Loss: 112.994
-22400/69092 Loss: 109.935
-25600/69092 Loss: 109.856
-28800/69092 Loss: 109.845
-32000/69092 Loss: 110.726
-35200/69092 Loss: 111.638
-38400/69092 Loss: 111.053
-41600/69092 Loss: 110.047
-44800/69092 Loss: 110.895
-48000/69092 Loss: 110.560
-51200/69092 Loss: 112.562
-54400/69092 Loss: 110.502
-57600/69092 Loss: 111.007
-60800/69092 Loss: 110.608
-64000/69092 Loss: 111.131
-67200/69092 Loss: 111.897
-Training time 0:01:57.132493
-Epoch: 261 Average loss: 111.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 402)
-0/69092 Loss: 114.218
-3200/69092 Loss: 112.573
-6400/69092 Loss: 112.008
-9600/69092 Loss: 111.699
-12800/69092 Loss: 109.915
-16000/69092 Loss: 111.076
-19200/69092 Loss: 111.227
-22400/69092 Loss: 111.564
-25600/69092 Loss: 110.558
-28800/69092 Loss: 110.465
-32000/69092 Loss: 110.430
-35200/69092 Loss: 110.942
-38400/69092 Loss: 111.891
-41600/69092 Loss: 112.028
-44800/69092 Loss: 110.570
-48000/69092 Loss: 111.672
-51200/69092 Loss: 112.246
-54400/69092 Loss: 111.485
-57600/69092 Loss: 112.011
-60800/69092 Loss: 109.935
-64000/69092 Loss: 110.762
-67200/69092 Loss: 111.097
-Training time 0:01:58.383614
-Epoch: 262 Average loss: 111.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 403)
-0/69092 Loss: 112.604
-3200/69092 Loss: 110.540
-6400/69092 Loss: 111.252
-9600/69092 Loss: 109.829
-12800/69092 Loss: 113.017
-16000/69092 Loss: 113.760
-19200/69092 Loss: 110.520
-22400/69092 Loss: 111.341
-25600/69092 Loss: 110.474
-28800/69092 Loss: 110.952
-32000/69092 Loss: 110.309
-35200/69092 Loss: 109.334
-38400/69092 Loss: 110.914
-41600/69092 Loss: 110.116
-44800/69092 Loss: 111.209
-48000/69092 Loss: 112.935
-51200/69092 Loss: 110.746
-54400/69092 Loss: 110.242
-57600/69092 Loss: 110.549
-60800/69092 Loss: 112.742
-64000/69092 Loss: 111.958
-67200/69092 Loss: 111.216
-Training time 0:01:57.953651
-Epoch: 263 Average loss: 111.14
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 404)
-0/69092 Loss: 101.946
-3200/69092 Loss: 110.426
-6400/69092 Loss: 110.260
-9600/69092 Loss: 109.664
-12800/69092 Loss: 110.935
-16000/69092 Loss: 111.888
-19200/69092 Loss: 112.961
-22400/69092 Loss: 110.784
-25600/69092 Loss: 110.923
-28800/69092 Loss: 109.775
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-35200/69092 Loss: 110.206
-38400/69092 Loss: 112.993
-41600/69092 Loss: 111.066
-44800/69092 Loss: 110.433
-48000/69092 Loss: 110.588
-51200/69092 Loss: 111.304
-54400/69092 Loss: 111.200
-57600/69092 Loss: 112.353
-60800/69092 Loss: 111.725
-64000/69092 Loss: 110.548
-67200/69092 Loss: 110.856
-Training time 0:01:57.917637
-Epoch: 264 Average loss: 111.02
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 405)
-0/69092 Loss: 102.223
-3200/69092 Loss: 110.544
-6400/69092 Loss: 110.596
-9600/69092 Loss: 109.487
-12800/69092 Loss: 110.647
-16000/69092 Loss: 110.012
-19200/69092 Loss: 111.867
-22400/69092 Loss: 109.929
-25600/69092 Loss: 112.987
-28800/69092 Loss: 110.354
-32000/69092 Loss: 109.552
-35200/69092 Loss: 111.469
-38400/69092 Loss: 111.168
-41600/69092 Loss: 110.773
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-51200/69092 Loss: 110.388
-54400/69092 Loss: 113.500
-57600/69092 Loss: 109.864
-60800/69092 Loss: 112.753
-64000/69092 Loss: 111.999
-67200/69092 Loss: 112.182
-Training time 0:01:57.302165
-Epoch: 265 Average loss: 111.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 406)
-0/69092 Loss: 103.748
-3200/69092 Loss: 111.518
-6400/69092 Loss: 111.662
-9600/69092 Loss: 110.320
-12800/69092 Loss: 112.069
-16000/69092 Loss: 111.370
-19200/69092 Loss: 110.221
-22400/69092 Loss: 111.720
-25600/69092 Loss: 110.837
-28800/69092 Loss: 111.321
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-35200/69092 Loss: 111.120
-38400/69092 Loss: 108.821
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-44800/69092 Loss: 111.489
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-57600/69092 Loss: 112.635
-60800/69092 Loss: 110.459
-64000/69092 Loss: 110.898
-67200/69092 Loss: 111.642
-Training time 0:01:58.368381
-Epoch: 266 Average loss: 110.94
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 407)
-0/69092 Loss: 112.892
-3200/69092 Loss: 111.153
-6400/69092 Loss: 111.807
-9600/69092 Loss: 111.807
-12800/69092 Loss: 112.844
-16000/69092 Loss: 111.230
-19200/69092 Loss: 111.024
-22400/69092 Loss: 111.635
-25600/69092 Loss: 112.329
-28800/69092 Loss: 110.557
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-35200/69092 Loss: 110.001
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-54400/69092 Loss: 111.521
-57600/69092 Loss: 110.090
-60800/69092 Loss: 111.625
-64000/69092 Loss: 109.477
-67200/69092 Loss: 109.777
-Training time 0:01:58.427540
-Epoch: 267 Average loss: 111.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 408)
-0/69092 Loss: 105.202
-3200/69092 Loss: 110.029
-6400/69092 Loss: 109.795
-9600/69092 Loss: 110.878
-12800/69092 Loss: 111.447
-16000/69092 Loss: 114.239
-19200/69092 Loss: 111.138
-22400/69092 Loss: 110.883
-25600/69092 Loss: 110.844
-28800/69092 Loss: 111.197
-32000/69092 Loss: 110.699
-35200/69092 Loss: 110.040
-38400/69092 Loss: 111.646
-41600/69092 Loss: 110.489
-44800/69092 Loss: 110.871
-48000/69092 Loss: 111.598
-51200/69092 Loss: 110.340
-54400/69092 Loss: 112.259
-57600/69092 Loss: 109.082
-60800/69092 Loss: 111.659
-64000/69092 Loss: 112.772
-67200/69092 Loss: 112.814
-Training time 0:01:57.560979
-Epoch: 268 Average loss: 111.21
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 409)
-0/69092 Loss: 114.172
-3200/69092 Loss: 109.790
-6400/69092 Loss: 111.874
-9600/69092 Loss: 112.924
-12800/69092 Loss: 112.108
-16000/69092 Loss: 110.863
-19200/69092 Loss: 110.759
-22400/69092 Loss: 111.317
-25600/69092 Loss: 111.183
-28800/69092 Loss: 112.582
-32000/69092 Loss: 110.774
-35200/69092 Loss: 109.770
-38400/69092 Loss: 111.539
-41600/69092 Loss: 111.438
-44800/69092 Loss: 112.325
-48000/69092 Loss: 109.711
-51200/69092 Loss: 110.771
-54400/69092 Loss: 111.276
-57600/69092 Loss: 111.158
-60800/69092 Loss: 109.779
-64000/69092 Loss: 109.416
-67200/69092 Loss: 111.248
-Training time 0:01:58.904154
-Epoch: 269 Average loss: 111.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 410)
-0/69092 Loss: 105.736
-3200/69092 Loss: 109.660
-6400/69092 Loss: 110.559
-9600/69092 Loss: 111.273
-12800/69092 Loss: 111.583
-16000/69092 Loss: 111.526
-19200/69092 Loss: 109.822
-22400/69092 Loss: 111.871
-25600/69092 Loss: 109.665
-28800/69092 Loss: 110.681
-32000/69092 Loss: 111.805
-35200/69092 Loss: 111.811
-38400/69092 Loss: 112.030
-41600/69092 Loss: 110.044
-44800/69092 Loss: 111.697
-48000/69092 Loss: 109.874
-51200/69092 Loss: 111.497
-54400/69092 Loss: 112.470
-57600/69092 Loss: 110.808
-60800/69092 Loss: 111.034
-64000/69092 Loss: 110.285
-67200/69092 Loss: 109.798
-Training time 0:01:57.119963
-Epoch: 270 Average loss: 110.89
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 411)
-0/69092 Loss: 107.418
-3200/69092 Loss: 113.195
-6400/69092 Loss: 111.603
-9600/69092 Loss: 110.949
-12800/69092 Loss: 110.224
-16000/69092 Loss: 111.228
-19200/69092 Loss: 111.496
-22400/69092 Loss: 111.003
-25600/69092 Loss: 110.157
-28800/69092 Loss: 111.891
-32000/69092 Loss: 111.249
-35200/69092 Loss: 111.203
-38400/69092 Loss: 111.227
-41600/69092 Loss: 110.084
-44800/69092 Loss: 112.262
-48000/69092 Loss: 111.512
-51200/69092 Loss: 112.289
-54400/69092 Loss: 110.747
-57600/69092 Loss: 110.910
-60800/69092 Loss: 109.941
-64000/69092 Loss: 112.352
-67200/69092 Loss: 110.064
-Training time 0:01:58.405551
-Epoch: 271 Average loss: 111.17
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 412)
-0/69092 Loss: 112.247
-3200/69092 Loss: 111.532
-6400/69092 Loss: 109.866
-9600/69092 Loss: 109.927
-12800/69092 Loss: 110.300
-16000/69092 Loss: 110.468
-19200/69092 Loss: 109.192
-22400/69092 Loss: 111.327
-25600/69092 Loss: 110.400
-28800/69092 Loss: 112.408
-32000/69092 Loss: 109.738
-35200/69092 Loss: 111.481
-38400/69092 Loss: 112.698
-41600/69092 Loss: 108.841
-44800/69092 Loss: 109.635
-48000/69092 Loss: 111.447
-51200/69092 Loss: 111.715
-54400/69092 Loss: 111.377
-57600/69092 Loss: 112.041
-60800/69092 Loss: 112.644
-64000/69092 Loss: 111.499
-67200/69092 Loss: 112.792
-Training time 0:01:57.107391
-Epoch: 272 Average loss: 111.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 413)
-0/69092 Loss: 113.593
-3200/69092 Loss: 111.851
-6400/69092 Loss: 112.942
-9600/69092 Loss: 109.614
-12800/69092 Loss: 113.096
-16000/69092 Loss: 110.529
-19200/69092 Loss: 110.020
-22400/69092 Loss: 111.430
-25600/69092 Loss: 111.389
-28800/69092 Loss: 112.372
-32000/69092 Loss: 110.273
-35200/69092 Loss: 109.844
-38400/69092 Loss: 110.619
-41600/69092 Loss: 110.420
-44800/69092 Loss: 111.002
-48000/69092 Loss: 111.528
-51200/69092 Loss: 111.237
-54400/69092 Loss: 113.031
-57600/69092 Loss: 110.168
-60800/69092 Loss: 109.557
-64000/69092 Loss: 110.396
-67200/69092 Loss: 113.071
-Training time 0:01:58.378197
-Epoch: 273 Average loss: 111.14
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 414)
-0/69092 Loss: 107.776
-3200/69092 Loss: 110.438
-6400/69092 Loss: 109.587
-9600/69092 Loss: 111.353
-12800/69092 Loss: 109.622
-16000/69092 Loss: 111.800
-19200/69092 Loss: 111.342
-22400/69092 Loss: 110.491
-25600/69092 Loss: 112.317
-28800/69092 Loss: 111.947
-32000/69092 Loss: 111.256
-35200/69092 Loss: 111.003
-38400/69092 Loss: 112.212
-41600/69092 Loss: 110.820
-44800/69092 Loss: 111.593
-48000/69092 Loss: 110.804
-51200/69092 Loss: 110.570
-54400/69092 Loss: 111.628
-57600/69092 Loss: 111.308
-60800/69092 Loss: 109.944
-64000/69092 Loss: 110.376
-67200/69092 Loss: 109.365
-Training time 0:01:58.140014
-Epoch: 274 Average loss: 110.89
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 415)
-0/69092 Loss: 107.265
-3200/69092 Loss: 110.911
-6400/69092 Loss: 111.722
-9600/69092 Loss: 111.788
-12800/69092 Loss: 111.163
-16000/69092 Loss: 111.562
-19200/69092 Loss: 112.048
-22400/69092 Loss: 112.247
-25600/69092 Loss: 110.505
-28800/69092 Loss: 111.820
-32000/69092 Loss: 110.298
-35200/69092 Loss: 110.960
-38400/69092 Loss: 112.540
-41600/69092 Loss: 110.044
-44800/69092 Loss: 109.915
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-51200/69092 Loss: 110.464
-54400/69092 Loss: 110.355
-57600/69092 Loss: 111.397
-60800/69092 Loss: 111.731
-64000/69092 Loss: 110.044
-67200/69092 Loss: 110.554
-Training time 0:01:56.970570
-Epoch: 275 Average loss: 111.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 416)
-0/69092 Loss: 109.308
-3200/69092 Loss: 109.620
-6400/69092 Loss: 112.496
-9600/69092 Loss: 111.210
-12800/69092 Loss: 109.303
-16000/69092 Loss: 109.302
-19200/69092 Loss: 111.062
-22400/69092 Loss: 111.424
-25600/69092 Loss: 112.844
-28800/69092 Loss: 110.963
-32000/69092 Loss: 111.105
-35200/69092 Loss: 110.907
-38400/69092 Loss: 110.317
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-54400/69092 Loss: 110.498
-57600/69092 Loss: 110.776
-60800/69092 Loss: 112.857
-64000/69092 Loss: 109.549
-67200/69092 Loss: 110.512
-Training time 0:01:57.871726
-Epoch: 276 Average loss: 110.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 417)
-0/69092 Loss: 114.632
-3200/69092 Loss: 111.907
-6400/69092 Loss: 109.742
-9600/69092 Loss: 109.988
-12800/69092 Loss: 109.891
-16000/69092 Loss: 110.597
-19200/69092 Loss: 109.888
-22400/69092 Loss: 110.783
-25600/69092 Loss: 110.870
-28800/69092 Loss: 112.833
-32000/69092 Loss: 111.495
-35200/69092 Loss: 112.458
-38400/69092 Loss: 112.049
-41600/69092 Loss: 111.632
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-48000/69092 Loss: 111.698
-51200/69092 Loss: 108.472
-54400/69092 Loss: 111.141
-57600/69092 Loss: 110.113
-60800/69092 Loss: 110.784
-64000/69092 Loss: 109.813
-67200/69092 Loss: 109.572
-Training time 0:01:57.464278
-Epoch: 277 Average loss: 110.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 418)
-0/69092 Loss: 127.052
-3200/69092 Loss: 110.904
-6400/69092 Loss: 110.255
-9600/69092 Loss: 109.091
-12800/69092 Loss: 110.646
-16000/69092 Loss: 111.554
-19200/69092 Loss: 110.131
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-25600/69092 Loss: 108.659
-28800/69092 Loss: 110.733
-32000/69092 Loss: 110.423
-35200/69092 Loss: 112.402
-38400/69092 Loss: 111.252
-41600/69092 Loss: 110.627
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-48000/69092 Loss: 112.702
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-54400/69092 Loss: 111.644
-57600/69092 Loss: 111.951
-60800/69092 Loss: 111.907
-64000/69092 Loss: 109.767
-67200/69092 Loss: 112.209
-Training time 0:01:56.721931
-Epoch: 278 Average loss: 110.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 419)
-0/69092 Loss: 111.806
-3200/69092 Loss: 113.157
-6400/69092 Loss: 110.903
-9600/69092 Loss: 110.516
-12800/69092 Loss: 111.144
-16000/69092 Loss: 109.884
-19200/69092 Loss: 111.071
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-25600/69092 Loss: 109.489
-28800/69092 Loss: 110.938
-32000/69092 Loss: 109.966
-35200/69092 Loss: 112.436
-38400/69092 Loss: 111.449
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-57600/69092 Loss: 111.428
-60800/69092 Loss: 111.725
-64000/69092 Loss: 110.831
-67200/69092 Loss: 110.678
-Training time 0:01:57.508080
-Epoch: 279 Average loss: 111.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 420)
-0/69092 Loss: 105.821
-3200/69092 Loss: 112.053
-6400/69092 Loss: 110.937
-9600/69092 Loss: 110.877
-12800/69092 Loss: 110.348
-16000/69092 Loss: 109.876
-19200/69092 Loss: 110.762
-22400/69092 Loss: 110.478
-25600/69092 Loss: 109.307
-28800/69092 Loss: 110.364
-32000/69092 Loss: 110.561
-35200/69092 Loss: 110.215
-38400/69092 Loss: 112.803
-41600/69092 Loss: 113.309
-44800/69092 Loss: 110.400
-48000/69092 Loss: 110.345
-51200/69092 Loss: 110.096
-54400/69092 Loss: 111.199
-57600/69092 Loss: 110.091
-60800/69092 Loss: 112.631
-64000/69092 Loss: 113.145
-67200/69092 Loss: 109.860
-Training time 0:01:57.990605
-Epoch: 280 Average loss: 110.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 421)
-0/69092 Loss: 99.305
-3200/69092 Loss: 111.363
-6400/69092 Loss: 111.338
-9600/69092 Loss: 111.436
-12800/69092 Loss: 110.589
-16000/69092 Loss: 108.550
-19200/69092 Loss: 111.130
-22400/69092 Loss: 111.056
-25600/69092 Loss: 110.729
-28800/69092 Loss: 111.964
-32000/69092 Loss: 110.826
-35200/69092 Loss: 110.334
-38400/69092 Loss: 112.357
-41600/69092 Loss: 111.353
-44800/69092 Loss: 110.260
-48000/69092 Loss: 111.335
-51200/69092 Loss: 110.534
-54400/69092 Loss: 111.128
-57600/69092 Loss: 110.575
-60800/69092 Loss: 110.258
-64000/69092 Loss: 111.142
-67200/69092 Loss: 110.867
-Training time 0:01:57.845171
-Epoch: 281 Average loss: 110.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 422)
-0/69092 Loss: 109.939
-3200/69092 Loss: 110.927
-6400/69092 Loss: 111.372
-9600/69092 Loss: 113.477
-12800/69092 Loss: 110.871
-16000/69092 Loss: 110.388
-19200/69092 Loss: 110.984
-22400/69092 Loss: 109.603
-25600/69092 Loss: 110.984
-28800/69092 Loss: 110.942
-32000/69092 Loss: 110.955
-35200/69092 Loss: 113.097
-38400/69092 Loss: 110.582
-41600/69092 Loss: 110.519
-44800/69092 Loss: 110.225
-48000/69092 Loss: 111.144
-51200/69092 Loss: 110.632
-54400/69092 Loss: 110.743
-57600/69092 Loss: 110.619
-60800/69092 Loss: 109.524
-64000/69092 Loss: 110.168
-67200/69092 Loss: 111.639
-Training time 0:01:57.405325
-Epoch: 282 Average loss: 110.92
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 423)
-0/69092 Loss: 119.652
-3200/69092 Loss: 111.000
-6400/69092 Loss: 109.335
-9600/69092 Loss: 110.609
-12800/69092 Loss: 110.800
-16000/69092 Loss: 112.095
-19200/69092 Loss: 109.557
-22400/69092 Loss: 110.808
-25600/69092 Loss: 110.399
-28800/69092 Loss: 111.826
-32000/69092 Loss: 110.780
-35200/69092 Loss: 111.985
-38400/69092 Loss: 112.738
-41600/69092 Loss: 111.138
-44800/69092 Loss: 110.412
-48000/69092 Loss: 111.163
-51200/69092 Loss: 112.704
-54400/69092 Loss: 111.012
-57600/69092 Loss: 110.059
-60800/69092 Loss: 111.216
-64000/69092 Loss: 111.620
-67200/69092 Loss: 110.888
-Training time 0:01:57.440733
-Epoch: 283 Average loss: 111.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 424)
-0/69092 Loss: 106.990
-3200/69092 Loss: 107.762
-6400/69092 Loss: 111.007
-9600/69092 Loss: 109.851
-12800/69092 Loss: 111.823
-16000/69092 Loss: 111.459
-19200/69092 Loss: 111.446
-22400/69092 Loss: 112.483
-25600/69092 Loss: 110.370
-28800/69092 Loss: 110.804
-32000/69092 Loss: 110.054
-35200/69092 Loss: 110.605
-38400/69092 Loss: 110.478
-41600/69092 Loss: 110.785
-44800/69092 Loss: 113.107
-48000/69092 Loss: 111.193
-51200/69092 Loss: 112.808
-54400/69092 Loss: 111.634
-57600/69092 Loss: 110.049
-60800/69092 Loss: 110.342
-64000/69092 Loss: 109.923
-67200/69092 Loss: 111.048
-Training time 0:01:58.276838
-Epoch: 284 Average loss: 110.94
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 425)
-0/69092 Loss: 126.258
-3200/69092 Loss: 110.308
-6400/69092 Loss: 108.240
-9600/69092 Loss: 111.404
-12800/69092 Loss: 110.676
-16000/69092 Loss: 110.967
-19200/69092 Loss: 113.284
-22400/69092 Loss: 109.787
-25600/69092 Loss: 109.907
-28800/69092 Loss: 112.063
-32000/69092 Loss: 111.203
-35200/69092 Loss: 112.119
-38400/69092 Loss: 110.590
-41600/69092 Loss: 110.458
-44800/69092 Loss: 113.380
-48000/69092 Loss: 111.126
-51200/69092 Loss: 111.631
-54400/69092 Loss: 110.385
-57600/69092 Loss: 109.505
-60800/69092 Loss: 109.918
-64000/69092 Loss: 110.778
-67200/69092 Loss: 111.695
-Training time 0:01:58.765267
-Epoch: 285 Average loss: 110.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 426)
-0/69092 Loss: 110.888
-3200/69092 Loss: 109.617
-6400/69092 Loss: 110.353
-9600/69092 Loss: 110.585
-12800/69092 Loss: 110.895
-16000/69092 Loss: 110.390
-19200/69092 Loss: 110.729
-22400/69092 Loss: 112.426
-25600/69092 Loss: 110.992
-28800/69092 Loss: 111.520
-32000/69092 Loss: 110.369
-35200/69092 Loss: 111.826
-38400/69092 Loss: 110.541
-41600/69092 Loss: 111.892
-44800/69092 Loss: 109.360
-48000/69092 Loss: 112.748
-51200/69092 Loss: 109.524
-54400/69092 Loss: 111.490
-57600/69092 Loss: 112.498
-60800/69092 Loss: 111.301
-64000/69092 Loss: 111.848
-67200/69092 Loss: 110.673
-Training time 0:01:57.282262
-Epoch: 286 Average loss: 110.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 427)
-0/69092 Loss: 114.157
-3200/69092 Loss: 110.901
-6400/69092 Loss: 108.332
-9600/69092 Loss: 111.945
-12800/69092 Loss: 110.487
-16000/69092 Loss: 110.610
-19200/69092 Loss: 110.866
-22400/69092 Loss: 111.028
-25600/69092 Loss: 110.484
-28800/69092 Loss: 112.734
-32000/69092 Loss: 110.830
-35200/69092 Loss: 111.092
-38400/69092 Loss: 109.632
-41600/69092 Loss: 109.797
-44800/69092 Loss: 111.363
-48000/69092 Loss: 110.378
-51200/69092 Loss: 111.159
-54400/69092 Loss: 109.174
-57600/69092 Loss: 111.778
-60800/69092 Loss: 111.520
-64000/69092 Loss: 111.976
-67200/69092 Loss: 111.374
-Training time 0:01:58.552811
-Epoch: 287 Average loss: 110.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 428)
-0/69092 Loss: 98.511
-3200/69092 Loss: 108.557
-6400/69092 Loss: 110.954
-9600/69092 Loss: 111.782
-12800/69092 Loss: 111.856
-16000/69092 Loss: 111.708
-19200/69092 Loss: 110.535
-22400/69092 Loss: 111.989
-25600/69092 Loss: 109.486
-28800/69092 Loss: 111.154
-32000/69092 Loss: 110.285
-35200/69092 Loss: 112.020
-38400/69092 Loss: 112.430
-41600/69092 Loss: 109.311
-44800/69092 Loss: 111.011
-48000/69092 Loss: 109.668
-51200/69092 Loss: 111.056
-54400/69092 Loss: 110.999
-57600/69092 Loss: 111.689
-60800/69092 Loss: 110.654
-64000/69092 Loss: 111.223
-67200/69092 Loss: 111.608
-Training time 0:01:57.676074
-Epoch: 288 Average loss: 110.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 429)
-0/69092 Loss: 104.075
-3200/69092 Loss: 111.203
-6400/69092 Loss: 110.838
-9600/69092 Loss: 110.986
-12800/69092 Loss: 110.098
-16000/69092 Loss: 109.012
-19200/69092 Loss: 111.120
-22400/69092 Loss: 109.926
-25600/69092 Loss: 112.095
-28800/69092 Loss: 111.210
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-35200/69092 Loss: 112.471
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-41600/69092 Loss: 111.790
-44800/69092 Loss: 112.376
-48000/69092 Loss: 110.861
-51200/69092 Loss: 111.021
-54400/69092 Loss: 109.097
-57600/69092 Loss: 111.030
-60800/69092 Loss: 111.385
-64000/69092 Loss: 110.457
-67200/69092 Loss: 112.128
-Training time 0:01:58.374407
-Epoch: 289 Average loss: 110.98
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 430)
-0/69092 Loss: 102.637
-3200/69092 Loss: 110.249
-6400/69092 Loss: 110.317
-9600/69092 Loss: 111.740
-12800/69092 Loss: 110.958
-16000/69092 Loss: 109.061
-19200/69092 Loss: 109.024
-22400/69092 Loss: 110.359
-25600/69092 Loss: 111.071
-28800/69092 Loss: 109.974
-32000/69092 Loss: 111.436
-35200/69092 Loss: 111.265
-38400/69092 Loss: 111.014
-41600/69092 Loss: 110.954
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-48000/69092 Loss: 111.528
-51200/69092 Loss: 110.617
-54400/69092 Loss: 111.308
-57600/69092 Loss: 112.040
-60800/69092 Loss: 109.778
-64000/69092 Loss: 111.718
-67200/69092 Loss: 111.476
-Training time 0:01:57.290321
-Epoch: 290 Average loss: 110.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 431)
-0/69092 Loss: 112.755
-3200/69092 Loss: 111.344
-6400/69092 Loss: 110.573
-9600/69092 Loss: 110.679
-12800/69092 Loss: 111.196
-16000/69092 Loss: 111.228
-19200/69092 Loss: 109.418
-22400/69092 Loss: 110.008
-25600/69092 Loss: 112.658
-28800/69092 Loss: 111.429
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-35200/69092 Loss: 111.216
-38400/69092 Loss: 111.777
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-44800/69092 Loss: 111.508
-48000/69092 Loss: 109.906
-51200/69092 Loss: 109.060
-54400/69092 Loss: 111.110
-57600/69092 Loss: 109.381
-60800/69092 Loss: 111.219
-64000/69092 Loss: 112.256
-67200/69092 Loss: 111.393
-Training time 0:01:58.204894
-Epoch: 291 Average loss: 110.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 432)
-0/69092 Loss: 112.736
-3200/69092 Loss: 110.317
-6400/69092 Loss: 110.182
-9600/69092 Loss: 111.489
-12800/69092 Loss: 109.635
-16000/69092 Loss: 109.835
-19200/69092 Loss: 112.105
-22400/69092 Loss: 111.390
-25600/69092 Loss: 111.282
-28800/69092 Loss: 109.946
-32000/69092 Loss: 110.244
-35200/69092 Loss: 113.222
-38400/69092 Loss: 113.057
-41600/69092 Loss: 112.111
-44800/69092 Loss: 110.511
-48000/69092 Loss: 110.272
-51200/69092 Loss: 110.620
-54400/69092 Loss: 110.659
-57600/69092 Loss: 110.869
-60800/69092 Loss: 110.452
-64000/69092 Loss: 112.389
-67200/69092 Loss: 110.010
-Training time 0:01:57.528478
-Epoch: 292 Average loss: 110.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 433)
-0/69092 Loss: 114.500
-3200/69092 Loss: 110.128
-6400/69092 Loss: 109.510
-9600/69092 Loss: 111.423
-12800/69092 Loss: 110.941
-16000/69092 Loss: 108.992
-19200/69092 Loss: 111.361
-22400/69092 Loss: 110.340
-25600/69092 Loss: 110.495
-28800/69092 Loss: 110.377
-32000/69092 Loss: 110.545
-35200/69092 Loss: 109.933
-38400/69092 Loss: 109.964
-41600/69092 Loss: 112.998
-44800/69092 Loss: 111.314
-48000/69092 Loss: 111.898
-51200/69092 Loss: 111.896
-54400/69092 Loss: 111.930
-57600/69092 Loss: 109.081
-60800/69092 Loss: 111.646
-64000/69092 Loss: 110.968
-67200/69092 Loss: 110.556
-Training time 0:01:57.517016
-Epoch: 293 Average loss: 110.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 434)
-0/69092 Loss: 128.226
-3200/69092 Loss: 113.884
-6400/69092 Loss: 110.194
-9600/69092 Loss: 112.417
-12800/69092 Loss: 110.099
-16000/69092 Loss: 111.266
-19200/69092 Loss: 110.346
-22400/69092 Loss: 110.674
-25600/69092 Loss: 111.557
-28800/69092 Loss: 109.910
-32000/69092 Loss: 110.767
-35200/69092 Loss: 108.370
-38400/69092 Loss: 109.809
-41600/69092 Loss: 112.768
-44800/69092 Loss: 110.918
-48000/69092 Loss: 110.599
-51200/69092 Loss: 109.976
-54400/69092 Loss: 110.991
-57600/69092 Loss: 111.904
-60800/69092 Loss: 110.660
-64000/69092 Loss: 108.824
-67200/69092 Loss: 109.690
-Training time 0:01:58.568456
-Epoch: 294 Average loss: 110.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 435)
-0/69092 Loss: 101.908
-3200/69092 Loss: 111.186
-6400/69092 Loss: 110.414
-9600/69092 Loss: 110.318
-12800/69092 Loss: 112.272
-16000/69092 Loss: 109.021
-19200/69092 Loss: 113.014
-22400/69092 Loss: 110.897
-25600/69092 Loss: 110.764
-28800/69092 Loss: 110.582
-32000/69092 Loss: 112.341
-35200/69092 Loss: 112.834
-38400/69092 Loss: 111.393
-41600/69092 Loss: 110.558
-44800/69092 Loss: 111.250
-48000/69092 Loss: 110.628
-51200/69092 Loss: 109.401
-54400/69092 Loss: 110.663
-57600/69092 Loss: 110.167
-60800/69092 Loss: 111.613
-64000/69092 Loss: 109.191
-67200/69092 Loss: 113.185
-Training time 0:01:58.401494
-Epoch: 295 Average loss: 111.02
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 436)
-0/69092 Loss: 111.187
-3200/69092 Loss: 110.383
-6400/69092 Loss: 113.301
-9600/69092 Loss: 111.514
-12800/69092 Loss: 110.436
-16000/69092 Loss: 109.524
-19200/69092 Loss: 110.445
-22400/69092 Loss: 109.889
-25600/69092 Loss: 111.973
-28800/69092 Loss: 112.284
-32000/69092 Loss: 111.488
-35200/69092 Loss: 110.241
-38400/69092 Loss: 109.937
-41600/69092 Loss: 110.844
-44800/69092 Loss: 109.690
-48000/69092 Loss: 111.326
-51200/69092 Loss: 111.018
-54400/69092 Loss: 109.443
-57600/69092 Loss: 110.248
-60800/69092 Loss: 109.418
-64000/69092 Loss: 110.942
-67200/69092 Loss: 112.532
-Training time 0:01:58.054422
-Epoch: 296 Average loss: 110.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 437)
-0/69092 Loss: 109.589
-3200/69092 Loss: 108.906
-6400/69092 Loss: 111.589
-9600/69092 Loss: 110.672
-12800/69092 Loss: 111.534
-16000/69092 Loss: 111.271
-19200/69092 Loss: 111.011
-22400/69092 Loss: 110.344
-25600/69092 Loss: 110.352
-28800/69092 Loss: 111.733
-32000/69092 Loss: 111.576
-35200/69092 Loss: 109.561
-38400/69092 Loss: 113.457
-41600/69092 Loss: 112.402
-44800/69092 Loss: 110.143
-48000/69092 Loss: 109.951
-51200/69092 Loss: 112.914
-54400/69092 Loss: 112.174
-57600/69092 Loss: 109.020
-60800/69092 Loss: 109.533
-64000/69092 Loss: 111.442
-67200/69092 Loss: 111.365
-Training time 0:01:57.368761
-Epoch: 297 Average loss: 110.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 438)
-0/69092 Loss: 108.749
-3200/69092 Loss: 111.171
-6400/69092 Loss: 110.433
-9600/69092 Loss: 111.856
-12800/69092 Loss: 108.539
-16000/69092 Loss: 110.187
-19200/69092 Loss: 111.049
-22400/69092 Loss: 111.446
-25600/69092 Loss: 109.760
-28800/69092 Loss: 110.100
-32000/69092 Loss: 111.754
-35200/69092 Loss: 113.237
-38400/69092 Loss: 111.183
-41600/69092 Loss: 110.450
-44800/69092 Loss: 111.432
-48000/69092 Loss: 113.090
-51200/69092 Loss: 109.832
-54400/69092 Loss: 110.826
-57600/69092 Loss: 112.865
-60800/69092 Loss: 111.927
-64000/69092 Loss: 110.442
-67200/69092 Loss: 109.851
-Training time 0:01:56.984332
-Epoch: 298 Average loss: 110.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 439)
-0/69092 Loss: 105.931
-3200/69092 Loss: 110.126
-6400/69092 Loss: 110.617
-9600/69092 Loss: 110.992
-12800/69092 Loss: 110.139
-16000/69092 Loss: 112.035
-19200/69092 Loss: 110.818
-22400/69092 Loss: 110.201
-25600/69092 Loss: 111.025
-28800/69092 Loss: 110.035
-32000/69092 Loss: 111.795
-35200/69092 Loss: 112.614
-38400/69092 Loss: 111.208
-41600/69092 Loss: 110.589
-44800/69092 Loss: 110.215
-48000/69092 Loss: 111.576
-51200/69092 Loss: 111.711
-54400/69092 Loss: 109.680
-57600/69092 Loss: 112.130
-60800/69092 Loss: 110.922
-64000/69092 Loss: 110.125
-67200/69092 Loss: 110.402
-Training time 0:01:57.751606
-Epoch: 299 Average loss: 110.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 440)
-0/69092 Loss: 108.554
-3200/69092 Loss: 109.777
-6400/69092 Loss: 110.337
-9600/69092 Loss: 112.371
-12800/69092 Loss: 111.388
-16000/69092 Loss: 109.166
-19200/69092 Loss: 110.062
-22400/69092 Loss: 112.056
-25600/69092 Loss: 110.879
-28800/69092 Loss: 112.380
-32000/69092 Loss: 111.925
-35200/69092 Loss: 110.586
-38400/69092 Loss: 109.672
-41600/69092 Loss: 110.674
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-51200/69092 Loss: 110.676
-54400/69092 Loss: 111.481
-57600/69092 Loss: 110.750
-60800/69092 Loss: 111.140
-64000/69092 Loss: 109.790
-67200/69092 Loss: 110.965
-Training time 0:01:57.502604
-Epoch: 300 Average loss: 110.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 441)
-0/69092 Loss: 126.165
-3200/69092 Loss: 110.285
-6400/69092 Loss: 110.129
-9600/69092 Loss: 111.424
-12800/69092 Loss: 109.740
-16000/69092 Loss: 111.854
-19200/69092 Loss: 110.794
-22400/69092 Loss: 110.792
-25600/69092 Loss: 111.706
-28800/69092 Loss: 112.301
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-35200/69092 Loss: 112.221
-38400/69092 Loss: 111.395
-41600/69092 Loss: 111.282
-44800/69092 Loss: 110.389
-48000/69092 Loss: 109.643
-51200/69092 Loss: 110.450
-54400/69092 Loss: 111.629
-57600/69092 Loss: 111.873
-60800/69092 Loss: 110.584
-64000/69092 Loss: 111.131
-67200/69092 Loss: 109.687
-Training time 0:01:57.204475
-Epoch: 301 Average loss: 111.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 442)
-0/69092 Loss: 106.093
-3200/69092 Loss: 109.878
-6400/69092 Loss: 110.295
-9600/69092 Loss: 111.979
-12800/69092 Loss: 113.320
-16000/69092 Loss: 111.759
-19200/69092 Loss: 111.122
-22400/69092 Loss: 109.408
-25600/69092 Loss: 110.433
-28800/69092 Loss: 109.775
-32000/69092 Loss: 108.749
-35200/69092 Loss: 110.879
-38400/69092 Loss: 111.396
-41600/69092 Loss: 111.396
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-48000/69092 Loss: 109.918
-51200/69092 Loss: 110.460
-54400/69092 Loss: 111.901
-57600/69092 Loss: 110.748
-60800/69092 Loss: 110.686
-64000/69092 Loss: 110.852
-67200/69092 Loss: 112.430
-Training time 0:01:58.077791
-Epoch: 302 Average loss: 110.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 443)
-0/69092 Loss: 108.815
-3200/69092 Loss: 112.556
-6400/69092 Loss: 110.766
-9600/69092 Loss: 108.460
-12800/69092 Loss: 111.993
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-25600/69092 Loss: 111.466
-28800/69092 Loss: 110.389
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-35200/69092 Loss: 110.833
-38400/69092 Loss: 110.869
-41600/69092 Loss: 108.830
-44800/69092 Loss: 112.886
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-57600/69092 Loss: 110.810
-60800/69092 Loss: 110.648
-64000/69092 Loss: 112.793
-67200/69092 Loss: 110.700
-Training time 0:01:57.392230
-Epoch: 303 Average loss: 110.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 444)
-0/69092 Loss: 102.485
-3200/69092 Loss: 110.565
-6400/69092 Loss: 112.579
-9600/69092 Loss: 110.242
-12800/69092 Loss: 109.614
-16000/69092 Loss: 110.495
-19200/69092 Loss: 110.945
-22400/69092 Loss: 112.366
-25600/69092 Loss: 110.999
-28800/69092 Loss: 109.653
-32000/69092 Loss: 110.920
-35200/69092 Loss: 111.993
-38400/69092 Loss: 111.538
-41600/69092 Loss: 111.368
-44800/69092 Loss: 110.520
-48000/69092 Loss: 111.310
-51200/69092 Loss: 109.049
-54400/69092 Loss: 112.195
-57600/69092 Loss: 111.088
-60800/69092 Loss: 109.198
-64000/69092 Loss: 111.151
-67200/69092 Loss: 112.724
-Training time 0:01:57.946444
-Epoch: 304 Average loss: 110.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 445)
-0/69092 Loss: 102.396
-3200/69092 Loss: 110.045
-6400/69092 Loss: 111.459
-9600/69092 Loss: 110.740
-12800/69092 Loss: 109.375
-16000/69092 Loss: 109.528
-19200/69092 Loss: 110.296
-22400/69092 Loss: 111.529
-25600/69092 Loss: 112.015
-28800/69092 Loss: 112.480
-32000/69092 Loss: 111.684
-35200/69092 Loss: 109.674
-38400/69092 Loss: 109.920
-41600/69092 Loss: 110.739
-44800/69092 Loss: 112.200
-48000/69092 Loss: 110.242
-51200/69092 Loss: 109.654
-54400/69092 Loss: 110.177
-57600/69092 Loss: 111.492
-60800/69092 Loss: 110.973
-64000/69092 Loss: 114.455
-67200/69092 Loss: 110.318
-Training time 0:01:56.605594
-Epoch: 305 Average loss: 110.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64/checkpoints/last' (iter 446)
-0/69092 Loss: 109.967
-3200/69092 Loss: 111.850
-6400/69092 Loss: 112.518
-9600/69092 Loss: 110.590
-12800/69092 Loss: 110.210
-16000/69092 Loss: 109.241
-19200/69092 Loss: 110.525
-22400/69092 Loss: 110.654
-25600/69092 Loss: 111.915
-28800/69092 Loss: 111.632
-32000/69092 Loss: 110.208
-35200/69092 Loss: 109.360
-38400/69092 Loss: 110.583
-41600/69092 Loss: 110.789
-44800/69092 Loss: 111.279
-48000/69092 Loss: 110.052
-51200/69092 Loss: 110.062
-54400/69092 Loss: 110.449
-57600/69092 Loss: 110.957
diff --git a/OAR.2068288.stderr b/OAR.2068288.stderr
deleted file mode 100644
index 1791261322..0000000000
--- a/OAR.2068288.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 02:59:26] Job 2068288 KILLED ##
diff --git a/OAR.2068288.stdout b/OAR.2068288.stdout
deleted file mode 100644
index ede880f175..0000000000
--- a/OAR.2068288.stdout
+++ /dev/null
@@ -1,3001 +0,0 @@
-Namespace(batch_size=64, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_64_ls_15', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=15, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/beta_VAE_bs_64_ls_15
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=30, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=15, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 769185
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last (iter 1)'
-0/69092 Loss: 206.887
-3200/69092 Loss: 207.842
-6400/69092 Loss: 208.285
-9600/69092 Loss: 202.771
-12800/69092 Loss: 200.673
-16000/69092 Loss: 204.444
-19200/69092 Loss: 200.745
-22400/69092 Loss: 196.177
-25600/69092 Loss: 196.550
-28800/69092 Loss: 196.250
-32000/69092 Loss: 193.874
-35200/69092 Loss: 190.245
-38400/69092 Loss: 194.581
-41600/69092 Loss: 192.099
-44800/69092 Loss: 192.691
-48000/69092 Loss: 187.078
-51200/69092 Loss: 190.474
-54400/69092 Loss: 187.622
-57600/69092 Loss: 183.145
-60800/69092 Loss: 187.360
-64000/69092 Loss: 180.957
-67200/69092 Loss: 182.479
-Training time 0:05:05.562599
-Epoch: 1 Average loss: 193.64
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 2)
-0/69092 Loss: 170.944
-3200/69092 Loss: 181.493
-6400/69092 Loss: 178.386
-9600/69092 Loss: 180.497
-12800/69092 Loss: 178.568
-16000/69092 Loss: 176.458
-19200/69092 Loss: 182.626
-22400/69092 Loss: 177.960
-25600/69092 Loss: 174.158
-28800/69092 Loss: 180.979
-32000/69092 Loss: 175.474
-35200/69092 Loss: 173.373
-38400/69092 Loss: 175.485
-41600/69092 Loss: 172.948
-44800/69092 Loss: 174.871
-48000/69092 Loss: 173.946
-51200/69092 Loss: 174.915
-54400/69092 Loss: 172.485
-57600/69092 Loss: 174.387
-60800/69092 Loss: 173.445
-64000/69092 Loss: 171.097
-67200/69092 Loss: 171.948
-Training time 0:05:04.217780
-Epoch: 2 Average loss: 175.77
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 3)
-0/69092 Loss: 166.616
-3200/69092 Loss: 174.563
-6400/69092 Loss: 169.681
-9600/69092 Loss: 169.392
-12800/69092 Loss: 169.089
-16000/69092 Loss: 169.595
-19200/69092 Loss: 169.412
-22400/69092 Loss: 171.284
-25600/69092 Loss: 168.897
-28800/69092 Loss: 165.861
-32000/69092 Loss: 164.709
-35200/69092 Loss: 166.149
-38400/69092 Loss: 167.966
-41600/69092 Loss: 167.646
-44800/69092 Loss: 168.247
-48000/69092 Loss: 165.073
-51200/69092 Loss: 165.861
-54400/69092 Loss: 166.124
-57600/69092 Loss: 171.008
-60800/69092 Loss: 166.149
-64000/69092 Loss: 172.057
-67200/69092 Loss: 165.177
-Training time 0:05:12.167257
-Epoch: 3 Average loss: 168.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 4)
-0/69092 Loss: 165.766
-3200/69092 Loss: 163.782
-6400/69092 Loss: 165.200
-9600/69092 Loss: 166.316
-12800/69092 Loss: 165.267
-16000/69092 Loss: 166.998
-19200/69092 Loss: 169.749
-22400/69092 Loss: 164.441
-25600/69092 Loss: 162.002
-28800/69092 Loss: 161.511
-32000/69092 Loss: 165.594
-35200/69092 Loss: 165.813
-38400/69092 Loss: 163.929
-41600/69092 Loss: 165.160
-44800/69092 Loss: 166.075
-48000/69092 Loss: 167.417
-51200/69092 Loss: 162.397
-54400/69092 Loss: 163.676
-57600/69092 Loss: 162.870
-60800/69092 Loss: 166.312
-64000/69092 Loss: 163.025
-67200/69092 Loss: 162.398
-Training time 0:05:07.147008
-Epoch: 4 Average loss: 164.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 5)
-0/69092 Loss: 153.476
-3200/69092 Loss: 159.726
-6400/69092 Loss: 165.582
-9600/69092 Loss: 161.601
-12800/69092 Loss: 162.702
-16000/69092 Loss: 164.992
-19200/69092 Loss: 166.401
-22400/69092 Loss: 163.438
-25600/69092 Loss: 159.738
-28800/69092 Loss: 161.781
-32000/69092 Loss: 164.914
-35200/69092 Loss: 165.694
-38400/69092 Loss: 163.410
-41600/69092 Loss: 162.084
-44800/69092 Loss: 160.367
-48000/69092 Loss: 161.416
-51200/69092 Loss: 160.890
-54400/69092 Loss: 166.457
-57600/69092 Loss: 164.688
-60800/69092 Loss: 164.736
-64000/69092 Loss: 164.117
-67200/69092 Loss: 164.351
-Training time 0:05:06.414312
-Epoch: 5 Average loss: 163.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 6)
-0/69092 Loss: 189.969
-3200/69092 Loss: 164.013
-6400/69092 Loss: 161.849
-9600/69092 Loss: 162.317
-12800/69092 Loss: 162.261
-16000/69092 Loss: 160.441
-19200/69092 Loss: 162.060
-22400/69092 Loss: 162.608
-25600/69092 Loss: 162.462
-28800/69092 Loss: 162.498
-32000/69092 Loss: 160.510
-35200/69092 Loss: 165.184
-38400/69092 Loss: 162.527
-41600/69092 Loss: 162.811
-44800/69092 Loss: 159.004
-48000/69092 Loss: 162.282
-51200/69092 Loss: 164.850
-54400/69092 Loss: 159.039
-57600/69092 Loss: 160.952
-60800/69092 Loss: 158.907
-64000/69092 Loss: 160.586
-67200/69092 Loss: 159.604
-Training time 0:04:58.356152
-Epoch: 6 Average loss: 161.86
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 7)
-0/69092 Loss: 163.107
-3200/69092 Loss: 159.555
-6400/69092 Loss: 160.722
-9600/69092 Loss: 160.986
-12800/69092 Loss: 161.709
-16000/69092 Loss: 161.245
-19200/69092 Loss: 162.102
-22400/69092 Loss: 160.872
-25600/69092 Loss: 159.378
-28800/69092 Loss: 163.367
-32000/69092 Loss: 160.811
-35200/69092 Loss: 162.435
-38400/69092 Loss: 159.574
-41600/69092 Loss: 160.831
-44800/69092 Loss: 161.828
-48000/69092 Loss: 158.710
-51200/69092 Loss: 158.553
-54400/69092 Loss: 159.628
-57600/69092 Loss: 160.123
-60800/69092 Loss: 158.915
-64000/69092 Loss: 161.189
-67200/69092 Loss: 163.030
-Training time 0:05:01.055401
-Epoch: 7 Average loss: 160.66
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 8)
-0/69092 Loss: 174.514
-3200/69092 Loss: 161.884
-6400/69092 Loss: 161.307
-9600/69092 Loss: 163.065
-12800/69092 Loss: 161.624
-16000/69092 Loss: 161.000
-19200/69092 Loss: 161.357
-22400/69092 Loss: 158.717
-25600/69092 Loss: 160.997
-28800/69092 Loss: 158.610
-32000/69092 Loss: 160.508
-35200/69092 Loss: 160.528
-38400/69092 Loss: 159.435
-41600/69092 Loss: 160.706
-44800/69092 Loss: 159.112
-48000/69092 Loss: 158.584
-51200/69092 Loss: 161.281
-54400/69092 Loss: 158.506
-57600/69092 Loss: 155.892
-60800/69092 Loss: 159.104
-64000/69092 Loss: 159.219
-67200/69092 Loss: 159.272
-Training time 0:05:04.411575
-Epoch: 8 Average loss: 160.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 9)
-0/69092 Loss: 151.763
-3200/69092 Loss: 156.918
-6400/69092 Loss: 158.726
-9600/69092 Loss: 158.688
-12800/69092 Loss: 159.796
-16000/69092 Loss: 161.199
-19200/69092 Loss: 160.557
-22400/69092 Loss: 155.504
-25600/69092 Loss: 158.230
-28800/69092 Loss: 159.681
-32000/69092 Loss: 163.094
-35200/69092 Loss: 159.575
-38400/69092 Loss: 158.562
-41600/69092 Loss: 159.907
-44800/69092 Loss: 158.514
-48000/69092 Loss: 157.097
-51200/69092 Loss: 157.089
-54400/69092 Loss: 160.598
-57600/69092 Loss: 161.355
-60800/69092 Loss: 159.777
-64000/69092 Loss: 160.242
-67200/69092 Loss: 158.511
-Training time 0:04:58.204644
-Epoch: 9 Average loss: 159.24
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 10)
-0/69092 Loss: 134.625
-3200/69092 Loss: 157.098
-6400/69092 Loss: 159.415
-9600/69092 Loss: 156.766
-12800/69092 Loss: 159.311
-16000/69092 Loss: 156.983
-19200/69092 Loss: 158.991
-22400/69092 Loss: 162.854
-25600/69092 Loss: 158.652
-28800/69092 Loss: 156.597
-32000/69092 Loss: 162.327
-35200/69092 Loss: 159.612
-38400/69092 Loss: 160.586
-41600/69092 Loss: 157.079
-44800/69092 Loss: 156.920
-48000/69092 Loss: 161.475
-51200/69092 Loss: 157.764
-54400/69092 Loss: 157.025
-57600/69092 Loss: 156.038
-60800/69092 Loss: 157.571
-64000/69092 Loss: 158.655
-67200/69092 Loss: 156.811
-Training time 0:04:59.827318
-Epoch: 10 Average loss: 158.54
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 11)
-0/69092 Loss: 159.620
-3200/69092 Loss: 157.281
-6400/69092 Loss: 159.662
-9600/69092 Loss: 157.641
-12800/69092 Loss: 159.027
-16000/69092 Loss: 154.571
-19200/69092 Loss: 157.737
-22400/69092 Loss: 155.758
-25600/69092 Loss: 158.316
-28800/69092 Loss: 157.215
-32000/69092 Loss: 159.709
-35200/69092 Loss: 157.757
-38400/69092 Loss: 161.319
-41600/69092 Loss: 161.856
-44800/69092 Loss: 159.194
-48000/69092 Loss: 156.638
-51200/69092 Loss: 159.944
-54400/69092 Loss: 156.483
-57600/69092 Loss: 158.072
-60800/69092 Loss: 160.427
-64000/69092 Loss: 158.403
-67200/69092 Loss: 157.545
-Training time 0:05:07.402879
-Epoch: 11 Average loss: 158.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 12)
-0/69092 Loss: 154.575
-3200/69092 Loss: 155.621
-6400/69092 Loss: 159.010
-9600/69092 Loss: 157.663
-12800/69092 Loss: 156.741
-16000/69092 Loss: 160.086
-19200/69092 Loss: 159.133
-22400/69092 Loss: 158.643
-25600/69092 Loss: 157.256
-28800/69092 Loss: 158.074
-32000/69092 Loss: 157.626
-35200/69092 Loss: 160.211
-38400/69092 Loss: 158.422
-41600/69092 Loss: 156.553
-44800/69092 Loss: 156.754
-48000/69092 Loss: 155.479
-51200/69092 Loss: 156.734
-54400/69092 Loss: 161.558
-57600/69092 Loss: 158.854
-60800/69092 Loss: 157.962
-64000/69092 Loss: 157.696
-67200/69092 Loss: 155.864
-Training time 0:04:57.898314
-Epoch: 12 Average loss: 157.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 13)
-0/69092 Loss: 198.587
-3200/69092 Loss: 156.337
-6400/69092 Loss: 157.083
-9600/69092 Loss: 158.551
-12800/69092 Loss: 155.835
-16000/69092 Loss: 159.414
-19200/69092 Loss: 156.997
-22400/69092 Loss: 156.781
-25600/69092 Loss: 157.049
-28800/69092 Loss: 159.597
-32000/69092 Loss: 158.982
-35200/69092 Loss: 156.480
-38400/69092 Loss: 157.809
-41600/69092 Loss: 157.435
-44800/69092 Loss: 155.803
-48000/69092 Loss: 157.486
-51200/69092 Loss: 159.577
-54400/69092 Loss: 156.059
-57600/69092 Loss: 155.216
-60800/69092 Loss: 157.501
-64000/69092 Loss: 159.789
-67200/69092 Loss: 157.693
-Training time 0:05:00.335381
-Epoch: 13 Average loss: 157.53
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 14)
-0/69092 Loss: 171.126
-3200/69092 Loss: 158.834
-6400/69092 Loss: 158.648
-9600/69092 Loss: 156.490
-12800/69092 Loss: 156.551
-16000/69092 Loss: 155.481
-19200/69092 Loss: 158.480
-22400/69092 Loss: 157.740
-25600/69092 Loss: 156.230
-28800/69092 Loss: 155.460
-32000/69092 Loss: 158.201
-35200/69092 Loss: 157.160
-38400/69092 Loss: 155.383
-41600/69092 Loss: 157.695
-44800/69092 Loss: 158.694
-48000/69092 Loss: 158.045
-51200/69092 Loss: 159.016
-54400/69092 Loss: 158.704
-57600/69092 Loss: 158.473
-60800/69092 Loss: 155.494
-64000/69092 Loss: 157.108
-67200/69092 Loss: 154.708
-Training time 0:05:01.352674
-Epoch: 14 Average loss: 157.35
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 15)
-0/69092 Loss: 158.885
-3200/69092 Loss: 159.121
-6400/69092 Loss: 156.716
-9600/69092 Loss: 155.387
-12800/69092 Loss: 154.486
-16000/69092 Loss: 155.538
-19200/69092 Loss: 159.955
-22400/69092 Loss: 157.290
-25600/69092 Loss: 155.298
-28800/69092 Loss: 157.796
-32000/69092 Loss: 155.302
-35200/69092 Loss: 158.811
-38400/69092 Loss: 157.280
-41600/69092 Loss: 155.210
-44800/69092 Loss: 160.083
-48000/69092 Loss: 154.914
-51200/69092 Loss: 154.685
-54400/69092 Loss: 160.132
-57600/69092 Loss: 157.141
-60800/69092 Loss: 156.621
-64000/69092 Loss: 156.775
-67200/69092 Loss: 159.171
-Training time 0:04:56.771282
-Epoch: 15 Average loss: 156.98
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 16)
-0/69092 Loss: 180.610
-3200/69092 Loss: 158.926
-6400/69092 Loss: 157.400
-9600/69092 Loss: 154.938
-12800/69092 Loss: 158.403
-16000/69092 Loss: 156.749
-19200/69092 Loss: 154.579
-22400/69092 Loss: 156.441
-25600/69092 Loss: 155.450
-28800/69092 Loss: 155.572
-32000/69092 Loss: 155.950
-35200/69092 Loss: 155.745
-38400/69092 Loss: 156.225
-41600/69092 Loss: 156.569
-44800/69092 Loss: 157.336
-48000/69092 Loss: 156.346
-51200/69092 Loss: 156.521
-54400/69092 Loss: 156.633
-57600/69092 Loss: 156.478
-60800/69092 Loss: 157.656
-64000/69092 Loss: 157.980
-67200/69092 Loss: 156.007
-Training time 0:04:57.181037
-Epoch: 16 Average loss: 156.64
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 17)
-0/69092 Loss: 166.976
-3200/69092 Loss: 155.996
-6400/69092 Loss: 156.284
-9600/69092 Loss: 157.531
-12800/69092 Loss: 157.001
-16000/69092 Loss: 156.033
-19200/69092 Loss: 156.092
-22400/69092 Loss: 155.495
-25600/69092 Loss: 154.071
-28800/69092 Loss: 158.731
-32000/69092 Loss: 155.976
-35200/69092 Loss: 158.330
-38400/69092 Loss: 157.550
-41600/69092 Loss: 153.981
-44800/69092 Loss: 156.093
-48000/69092 Loss: 155.275
-51200/69092 Loss: 156.546
-54400/69092 Loss: 157.030
-57600/69092 Loss: 158.271
-60800/69092 Loss: 157.585
-64000/69092 Loss: 157.200
-67200/69092 Loss: 157.208
-Training time 0:05:09.402899
-Epoch: 17 Average loss: 156.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 18)
-0/69092 Loss: 138.008
-3200/69092 Loss: 155.972
-6400/69092 Loss: 155.708
-9600/69092 Loss: 157.606
-12800/69092 Loss: 158.033
-16000/69092 Loss: 155.677
-19200/69092 Loss: 155.332
-22400/69092 Loss: 159.563
-25600/69092 Loss: 154.693
-28800/69092 Loss: 153.843
-32000/69092 Loss: 154.891
-35200/69092 Loss: 152.642
-38400/69092 Loss: 158.392
-41600/69092 Loss: 156.441
-44800/69092 Loss: 156.736
-48000/69092 Loss: 153.157
-51200/69092 Loss: 158.228
-54400/69092 Loss: 157.247
-57600/69092 Loss: 156.135
-60800/69092 Loss: 156.527
-64000/69092 Loss: 157.145
-67200/69092 Loss: 157.334
-Training time 0:05:11.412854
-Epoch: 18 Average loss: 156.17
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 19)
-0/69092 Loss: 175.512
-3200/69092 Loss: 159.676
-6400/69092 Loss: 155.888
-9600/69092 Loss: 155.238
-12800/69092 Loss: 154.457
-16000/69092 Loss: 157.052
-19200/69092 Loss: 154.044
-22400/69092 Loss: 158.530
-25600/69092 Loss: 155.509
-28800/69092 Loss: 154.811
-32000/69092 Loss: 156.581
-35200/69092 Loss: 157.237
-38400/69092 Loss: 155.297
-41600/69092 Loss: 153.913
-44800/69092 Loss: 154.750
-48000/69092 Loss: 153.670
-51200/69092 Loss: 157.841
-54400/69092 Loss: 156.308
-57600/69092 Loss: 153.487
-60800/69092 Loss: 157.768
-64000/69092 Loss: 154.807
-67200/69092 Loss: 154.463
-Training time 0:05:10.181806
-Epoch: 19 Average loss: 155.89
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 20)
-0/69092 Loss: 149.774
-3200/69092 Loss: 156.927
-6400/69092 Loss: 155.198
-9600/69092 Loss: 155.500
-12800/69092 Loss: 158.390
-16000/69092 Loss: 153.901
-19200/69092 Loss: 157.590
-22400/69092 Loss: 156.058
-25600/69092 Loss: 155.266
-28800/69092 Loss: 157.283
-32000/69092 Loss: 158.147
-35200/69092 Loss: 156.172
-38400/69092 Loss: 154.989
-41600/69092 Loss: 154.753
-44800/69092 Loss: 155.295
-48000/69092 Loss: 156.432
-51200/69092 Loss: 154.009
-54400/69092 Loss: 155.243
-57600/69092 Loss: 157.107
-60800/69092 Loss: 157.627
-64000/69092 Loss: 155.015
-67200/69092 Loss: 153.090
-Training time 0:05:18.014695
-Epoch: 20 Average loss: 155.87
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 21)
-0/69092 Loss: 156.897
-3200/69092 Loss: 152.205
-6400/69092 Loss: 157.276
-9600/69092 Loss: 157.334
-12800/69092 Loss: 155.175
-16000/69092 Loss: 156.639
-19200/69092 Loss: 156.498
-22400/69092 Loss: 156.934
-25600/69092 Loss: 155.024
-28800/69092 Loss: 155.736
-32000/69092 Loss: 156.889
-35200/69092 Loss: 156.288
-38400/69092 Loss: 156.362
-41600/69092 Loss: 157.268
-44800/69092 Loss: 153.435
-48000/69092 Loss: 156.287
-51200/69092 Loss: 154.534
-54400/69092 Loss: 155.425
-57600/69092 Loss: 155.554
-60800/69092 Loss: 155.930
-64000/69092 Loss: 156.817
-67200/69092 Loss: 156.358
-Training time 0:05:00.028455
-Epoch: 21 Average loss: 155.88
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 22)
-0/69092 Loss: 166.798
-3200/69092 Loss: 155.961
-6400/69092 Loss: 157.307
-9600/69092 Loss: 155.340
-12800/69092 Loss: 154.392
-16000/69092 Loss: 152.580
-19200/69092 Loss: 157.830
-22400/69092 Loss: 155.235
-25600/69092 Loss: 157.458
-28800/69092 Loss: 155.417
-32000/69092 Loss: 155.424
-35200/69092 Loss: 154.403
-38400/69092 Loss: 156.144
-41600/69092 Loss: 158.808
-44800/69092 Loss: 157.301
-48000/69092 Loss: 155.940
-51200/69092 Loss: 152.464
-54400/69092 Loss: 155.455
-57600/69092 Loss: 154.166
-60800/69092 Loss: 154.344
-64000/69092 Loss: 153.303
-67200/69092 Loss: 156.709
-Training time 0:05:06.625068
-Epoch: 22 Average loss: 155.57
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 23)
-0/69092 Loss: 153.292
-3200/69092 Loss: 155.550
-6400/69092 Loss: 154.465
-9600/69092 Loss: 154.747
-12800/69092 Loss: 156.483
-16000/69092 Loss: 154.716
-19200/69092 Loss: 154.990
-22400/69092 Loss: 158.698
-25600/69092 Loss: 153.843
-28800/69092 Loss: 157.427
-32000/69092 Loss: 155.258
-35200/69092 Loss: 156.867
-38400/69092 Loss: 155.848
-41600/69092 Loss: 154.291
-44800/69092 Loss: 155.653
-48000/69092 Loss: 153.495
-51200/69092 Loss: 156.850
-54400/69092 Loss: 153.608
-57600/69092 Loss: 156.122
-60800/69092 Loss: 155.608
-64000/69092 Loss: 153.933
-67200/69092 Loss: 156.125
-Training time 0:05:02.092503
-Epoch: 23 Average loss: 155.32
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 24)
-0/69092 Loss: 148.688
-3200/69092 Loss: 157.104
-6400/69092 Loss: 155.251
-9600/69092 Loss: 157.003
-12800/69092 Loss: 153.265
-16000/69092 Loss: 157.457
-19200/69092 Loss: 157.067
-22400/69092 Loss: 155.820
-25600/69092 Loss: 157.289
-28800/69092 Loss: 154.638
-32000/69092 Loss: 154.275
-35200/69092 Loss: 153.192
-38400/69092 Loss: 154.359
-41600/69092 Loss: 153.652
-44800/69092 Loss: 154.943
-48000/69092 Loss: 154.444
-51200/69092 Loss: 153.575
-54400/69092 Loss: 155.056
-57600/69092 Loss: 156.695
-60800/69092 Loss: 156.227
-64000/69092 Loss: 150.975
-67200/69092 Loss: 158.196
-Training time 0:05:02.910400
-Epoch: 24 Average loss: 155.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 25)
-0/69092 Loss: 151.762
-3200/69092 Loss: 155.785
-6400/69092 Loss: 154.801
-9600/69092 Loss: 153.452
-12800/69092 Loss: 154.596
-16000/69092 Loss: 155.320
-19200/69092 Loss: 154.723
-22400/69092 Loss: 151.396
-25600/69092 Loss: 155.391
-28800/69092 Loss: 153.849
-32000/69092 Loss: 154.842
-35200/69092 Loss: 156.054
-38400/69092 Loss: 153.651
-41600/69092 Loss: 157.530
-44800/69092 Loss: 153.593
-48000/69092 Loss: 156.526
-51200/69092 Loss: 158.754
-54400/69092 Loss: 154.276
-57600/69092 Loss: 152.490
-60800/69092 Loss: 156.267
-64000/69092 Loss: 156.384
-67200/69092 Loss: 153.558
-Training time 0:05:08.903150
-Epoch: 25 Average loss: 154.94
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 26)
-0/69092 Loss: 145.520
-3200/69092 Loss: 154.470
-6400/69092 Loss: 157.175
-9600/69092 Loss: 153.897
-12800/69092 Loss: 155.593
-16000/69092 Loss: 155.791
-19200/69092 Loss: 154.346
-22400/69092 Loss: 153.382
-25600/69092 Loss: 157.153
-28800/69092 Loss: 155.913
-32000/69092 Loss: 151.357
-35200/69092 Loss: 153.224
-38400/69092 Loss: 155.464
-41600/69092 Loss: 155.946
-44800/69092 Loss: 155.148
-48000/69092 Loss: 155.896
-51200/69092 Loss: 153.044
-54400/69092 Loss: 151.947
-57600/69092 Loss: 154.547
-60800/69092 Loss: 153.721
-64000/69092 Loss: 155.764
-67200/69092 Loss: 155.832
-Training time 0:05:02.145435
-Epoch: 26 Average loss: 154.80
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 27)
-0/69092 Loss: 145.025
-3200/69092 Loss: 155.914
-6400/69092 Loss: 154.117
-9600/69092 Loss: 154.782
-12800/69092 Loss: 156.164
-16000/69092 Loss: 158.107
-19200/69092 Loss: 150.796
-22400/69092 Loss: 155.807
-25600/69092 Loss: 156.047
-28800/69092 Loss: 154.962
-32000/69092 Loss: 155.689
-35200/69092 Loss: 155.341
-38400/69092 Loss: 154.023
-41600/69092 Loss: 154.776
-44800/69092 Loss: 158.038
-48000/69092 Loss: 156.683
-51200/69092 Loss: 154.205
-54400/69092 Loss: 155.036
-57600/69092 Loss: 154.203
-60800/69092 Loss: 153.761
-64000/69092 Loss: 152.981
-67200/69092 Loss: 153.593
-Training time 0:05:04.721903
-Epoch: 27 Average loss: 154.92
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 28)
-0/69092 Loss: 142.085
-3200/69092 Loss: 156.566
-6400/69092 Loss: 154.072
-9600/69092 Loss: 155.197
-12800/69092 Loss: 155.686
-16000/69092 Loss: 155.226
-19200/69092 Loss: 155.577
-22400/69092 Loss: 156.916
-25600/69092 Loss: 153.739
-28800/69092 Loss: 156.855
-32000/69092 Loss: 156.404
-35200/69092 Loss: 154.426
-38400/69092 Loss: 153.957
-41600/69092 Loss: 153.818
-44800/69092 Loss: 151.411
-48000/69092 Loss: 155.809
-51200/69092 Loss: 155.386
-54400/69092 Loss: 155.290
-57600/69092 Loss: 156.896
-60800/69092 Loss: 155.407
-64000/69092 Loss: 154.888
-67200/69092 Loss: 155.350
-Training time 0:05:03.047716
-Epoch: 28 Average loss: 155.09
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 29)
-0/69092 Loss: 151.373
-3200/69092 Loss: 153.773
-6400/69092 Loss: 156.066
-9600/69092 Loss: 156.678
-12800/69092 Loss: 153.829
-16000/69092 Loss: 155.105
-19200/69092 Loss: 155.393
-22400/69092 Loss: 152.258
-25600/69092 Loss: 154.484
-28800/69092 Loss: 157.004
-32000/69092 Loss: 154.659
-35200/69092 Loss: 153.899
-38400/69092 Loss: 153.183
-41600/69092 Loss: 154.263
-44800/69092 Loss: 155.750
-48000/69092 Loss: 156.017
-51200/69092 Loss: 156.395
-54400/69092 Loss: 152.766
-57600/69092 Loss: 154.067
-60800/69092 Loss: 154.765
-64000/69092 Loss: 158.121
-67200/69092 Loss: 153.901
-Training time 0:05:03.827168
-Epoch: 29 Average loss: 154.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 30)
-0/69092 Loss: 161.455
-3200/69092 Loss: 156.467
-6400/69092 Loss: 153.161
-9600/69092 Loss: 153.883
-12800/69092 Loss: 156.245
-16000/69092 Loss: 152.822
-19200/69092 Loss: 154.706
-22400/69092 Loss: 155.953
-25600/69092 Loss: 153.495
-28800/69092 Loss: 154.108
-32000/69092 Loss: 155.972
-35200/69092 Loss: 152.512
-38400/69092 Loss: 153.367
-41600/69092 Loss: 154.328
-44800/69092 Loss: 154.372
-48000/69092 Loss: 153.476
-51200/69092 Loss: 155.928
-54400/69092 Loss: 154.817
-57600/69092 Loss: 156.931
-60800/69092 Loss: 154.815
-64000/69092 Loss: 152.635
-67200/69092 Loss: 156.441
-Training time 0:05:03.619466
-Epoch: 30 Average loss: 154.64
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 31)
-0/69092 Loss: 163.201
-3200/69092 Loss: 154.643
-6400/69092 Loss: 154.043
-9600/69092 Loss: 154.239
-12800/69092 Loss: 158.436
-16000/69092 Loss: 156.100
-19200/69092 Loss: 153.272
-22400/69092 Loss: 154.454
-25600/69092 Loss: 155.075
-28800/69092 Loss: 155.023
-32000/69092 Loss: 156.125
-35200/69092 Loss: 155.432
-38400/69092 Loss: 153.544
-41600/69092 Loss: 154.850
-44800/69092 Loss: 154.166
-48000/69092 Loss: 154.606
-51200/69092 Loss: 153.678
-54400/69092 Loss: 154.670
-57600/69092 Loss: 153.692
-60800/69092 Loss: 158.491
-64000/69092 Loss: 153.935
-67200/69092 Loss: 151.687
-Training time 0:05:04.037156
-Epoch: 31 Average loss: 154.77
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 32)
-0/69092 Loss: 141.922
-3200/69092 Loss: 154.850
-6400/69092 Loss: 153.576
-9600/69092 Loss: 154.580
-12800/69092 Loss: 157.847
-16000/69092 Loss: 156.746
-19200/69092 Loss: 154.366
-22400/69092 Loss: 155.767
-25600/69092 Loss: 153.426
-28800/69092 Loss: 151.863
-32000/69092 Loss: 154.862
-35200/69092 Loss: 155.273
-38400/69092 Loss: 156.388
-41600/69092 Loss: 153.722
-44800/69092 Loss: 153.381
-48000/69092 Loss: 154.076
-51200/69092 Loss: 156.021
-54400/69092 Loss: 152.544
-57600/69092 Loss: 152.952
-60800/69092 Loss: 153.821
-64000/69092 Loss: 154.748
-67200/69092 Loss: 152.921
-Training time 0:05:06.533599
-Epoch: 32 Average loss: 154.55
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 33)
-0/69092 Loss: 147.477
-3200/69092 Loss: 154.419
-6400/69092 Loss: 151.117
-9600/69092 Loss: 153.667
-12800/69092 Loss: 152.558
-16000/69092 Loss: 152.046
-19200/69092 Loss: 157.615
-22400/69092 Loss: 157.424
-25600/69092 Loss: 153.632
-28800/69092 Loss: 153.371
-32000/69092 Loss: 155.240
-35200/69092 Loss: 153.214
-38400/69092 Loss: 154.187
-41600/69092 Loss: 152.769
-44800/69092 Loss: 154.383
-48000/69092 Loss: 156.063
-51200/69092 Loss: 153.722
-54400/69092 Loss: 155.292
-57600/69092 Loss: 155.070
-60800/69092 Loss: 155.242
-64000/69092 Loss: 154.664
-67200/69092 Loss: 153.232
-Training time 0:05:06.860989
-Epoch: 33 Average loss: 154.39
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 34)
-0/69092 Loss: 150.105
-3200/69092 Loss: 154.872
-6400/69092 Loss: 153.334
-9600/69092 Loss: 153.557
-12800/69092 Loss: 157.195
-16000/69092 Loss: 154.167
-19200/69092 Loss: 153.944
-22400/69092 Loss: 153.382
-25600/69092 Loss: 153.936
-28800/69092 Loss: 154.048
-32000/69092 Loss: 151.582
-35200/69092 Loss: 150.827
-38400/69092 Loss: 152.395
-41600/69092 Loss: 155.515
-44800/69092 Loss: 154.176
-48000/69092 Loss: 155.271
-51200/69092 Loss: 154.451
-54400/69092 Loss: 155.946
-57600/69092 Loss: 158.292
-60800/69092 Loss: 153.092
-64000/69092 Loss: 154.001
-67200/69092 Loss: 153.687
-Training time 0:05:02.044776
-Epoch: 34 Average loss: 154.22
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 35)
-0/69092 Loss: 154.792
-3200/69092 Loss: 153.265
-6400/69092 Loss: 152.430
-9600/69092 Loss: 155.663
-12800/69092 Loss: 153.035
-16000/69092 Loss: 152.774
-19200/69092 Loss: 153.099
-22400/69092 Loss: 153.285
-25600/69092 Loss: 154.487
-28800/69092 Loss: 155.288
-32000/69092 Loss: 155.312
-35200/69092 Loss: 151.985
-38400/69092 Loss: 153.029
-41600/69092 Loss: 153.710
-44800/69092 Loss: 154.096
-48000/69092 Loss: 152.608
-51200/69092 Loss: 153.097
-54400/69092 Loss: 157.047
-57600/69092 Loss: 155.492
-60800/69092 Loss: 155.266
-64000/69092 Loss: 155.379
-67200/69092 Loss: 156.074
-Training time 0:05:01.698349
-Epoch: 35 Average loss: 154.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 36)
-0/69092 Loss: 147.266
-3200/69092 Loss: 154.854
-6400/69092 Loss: 156.191
-9600/69092 Loss: 153.243
-12800/69092 Loss: 155.336
-16000/69092 Loss: 156.092
-19200/69092 Loss: 153.358
-22400/69092 Loss: 154.779
-25600/69092 Loss: 151.964
-28800/69092 Loss: 152.475
-32000/69092 Loss: 155.118
-35200/69092 Loss: 153.731
-38400/69092 Loss: 153.870
-41600/69092 Loss: 153.622
-44800/69092 Loss: 153.203
-48000/69092 Loss: 153.439
-51200/69092 Loss: 153.529
-54400/69092 Loss: 153.085
-57600/69092 Loss: 151.578
-60800/69092 Loss: 157.822
-64000/69092 Loss: 153.030
-67200/69092 Loss: 153.405
-Training time 0:04:58.065118
-Epoch: 36 Average loss: 153.96
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 37)
-0/69092 Loss: 144.321
-3200/69092 Loss: 152.110
-6400/69092 Loss: 154.992
-9600/69092 Loss: 154.468
-12800/69092 Loss: 154.868
-16000/69092 Loss: 153.470
-19200/69092 Loss: 151.740
-22400/69092 Loss: 151.488
-25600/69092 Loss: 155.486
-28800/69092 Loss: 154.514
-32000/69092 Loss: 155.513
-35200/69092 Loss: 156.860
-38400/69092 Loss: 152.545
-41600/69092 Loss: 150.724
-44800/69092 Loss: 156.680
-48000/69092 Loss: 154.619
-51200/69092 Loss: 153.913
-54400/69092 Loss: 154.099
-57600/69092 Loss: 156.039
-60800/69092 Loss: 154.873
-64000/69092 Loss: 153.594
-67200/69092 Loss: 153.795
-Training time 0:05:08.408368
-Epoch: 37 Average loss: 154.07
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 38)
-0/69092 Loss: 151.149
-3200/69092 Loss: 154.316
-6400/69092 Loss: 153.311
-9600/69092 Loss: 152.132
-12800/69092 Loss: 156.712
-16000/69092 Loss: 155.304
-19200/69092 Loss: 153.195
-22400/69092 Loss: 154.007
-25600/69092 Loss: 152.999
-28800/69092 Loss: 154.118
-32000/69092 Loss: 155.476
-35200/69092 Loss: 154.149
-38400/69092 Loss: 151.813
-41600/69092 Loss: 153.062
-44800/69092 Loss: 151.518
-48000/69092 Loss: 155.054
-51200/69092 Loss: 156.870
-54400/69092 Loss: 155.662
-57600/69092 Loss: 153.237
-60800/69092 Loss: 153.279
-64000/69092 Loss: 153.719
-67200/69092 Loss: 154.816
-Training time 0:04:59.677722
-Epoch: 38 Average loss: 154.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 39)
-0/69092 Loss: 166.044
-3200/69092 Loss: 152.716
-6400/69092 Loss: 156.488
-9600/69092 Loss: 152.505
-12800/69092 Loss: 154.847
-16000/69092 Loss: 153.333
-19200/69092 Loss: 153.921
-22400/69092 Loss: 155.176
-25600/69092 Loss: 156.477
-28800/69092 Loss: 153.947
-32000/69092 Loss: 153.339
-35200/69092 Loss: 153.645
-38400/69092 Loss: 153.167
-41600/69092 Loss: 153.730
-44800/69092 Loss: 153.016
-48000/69092 Loss: 153.397
-51200/69092 Loss: 153.121
-54400/69092 Loss: 156.223
-57600/69092 Loss: 151.676
-60800/69092 Loss: 156.338
-64000/69092 Loss: 152.792
-67200/69092 Loss: 155.497
-Training time 0:05:01.546897
-Epoch: 39 Average loss: 154.07
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 40)
-0/69092 Loss: 145.958
-3200/69092 Loss: 153.693
-6400/69092 Loss: 155.230
-9600/69092 Loss: 152.551
-12800/69092 Loss: 152.835
-16000/69092 Loss: 153.111
-19200/69092 Loss: 155.037
-22400/69092 Loss: 150.292
-25600/69092 Loss: 151.004
-28800/69092 Loss: 156.137
-32000/69092 Loss: 154.216
-35200/69092 Loss: 155.649
-38400/69092 Loss: 153.518
-41600/69092 Loss: 158.186
-44800/69092 Loss: 155.724
-48000/69092 Loss: 154.573
-51200/69092 Loss: 151.834
-54400/69092 Loss: 151.491
-57600/69092 Loss: 153.863
-60800/69092 Loss: 153.605
-64000/69092 Loss: 152.668
-67200/69092 Loss: 155.306
-Training time 0:05:06.053928
-Epoch: 40 Average loss: 153.99
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 41)
-0/69092 Loss: 152.745
-3200/69092 Loss: 153.341
-6400/69092 Loss: 152.335
-9600/69092 Loss: 154.571
-12800/69092 Loss: 152.477
-16000/69092 Loss: 153.298
-19200/69092 Loss: 154.614
-22400/69092 Loss: 152.732
-25600/69092 Loss: 152.089
-28800/69092 Loss: 155.235
-32000/69092 Loss: 155.665
-35200/69092 Loss: 155.164
-38400/69092 Loss: 155.002
-41600/69092 Loss: 154.969
-44800/69092 Loss: 155.071
-48000/69092 Loss: 151.430
-51200/69092 Loss: 154.898
-54400/69092 Loss: 153.429
-57600/69092 Loss: 151.567
-60800/69092 Loss: 152.725
-64000/69092 Loss: 152.782
-67200/69092 Loss: 155.043
-Training time 0:05:07.448444
-Epoch: 41 Average loss: 153.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 42)
-0/69092 Loss: 147.857
-3200/69092 Loss: 153.241
-6400/69092 Loss: 155.718
-9600/69092 Loss: 153.425
-12800/69092 Loss: 154.952
-16000/69092 Loss: 153.958
-19200/69092 Loss: 153.363
-22400/69092 Loss: 153.638
-25600/69092 Loss: 151.926
-28800/69092 Loss: 153.577
-32000/69092 Loss: 152.298
-35200/69092 Loss: 153.688
-38400/69092 Loss: 154.614
-41600/69092 Loss: 154.486
-44800/69092 Loss: 157.781
-48000/69092 Loss: 154.365
-51200/69092 Loss: 155.802
-54400/69092 Loss: 152.274
-57600/69092 Loss: 152.661
-60800/69092 Loss: 153.740
-64000/69092 Loss: 153.539
-67200/69092 Loss: 155.345
-Training time 0:05:08.560162
-Epoch: 42 Average loss: 153.88
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 43)
-0/69092 Loss: 171.613
-3200/69092 Loss: 149.764
-6400/69092 Loss: 151.743
-9600/69092 Loss: 154.044
-12800/69092 Loss: 156.217
-16000/69092 Loss: 153.436
-19200/69092 Loss: 152.853
-22400/69092 Loss: 153.352
-25600/69092 Loss: 154.759
-28800/69092 Loss: 155.015
-32000/69092 Loss: 152.561
-35200/69092 Loss: 154.654
-38400/69092 Loss: 151.119
-41600/69092 Loss: 152.056
-44800/69092 Loss: 152.853
-48000/69092 Loss: 154.311
-51200/69092 Loss: 153.144
-54400/69092 Loss: 155.307
-57600/69092 Loss: 155.020
-60800/69092 Loss: 156.720
-64000/69092 Loss: 152.289
-67200/69092 Loss: 153.449
-Training time 0:05:04.432898
-Epoch: 43 Average loss: 153.66
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 44)
-0/69092 Loss: 170.133
-3200/69092 Loss: 152.235
-6400/69092 Loss: 152.641
-9600/69092 Loss: 155.498
-12800/69092 Loss: 154.923
-16000/69092 Loss: 152.892
-19200/69092 Loss: 152.627
-22400/69092 Loss: 151.357
-25600/69092 Loss: 152.230
-28800/69092 Loss: 154.684
-32000/69092 Loss: 154.487
-35200/69092 Loss: 152.331
-38400/69092 Loss: 152.898
-41600/69092 Loss: 151.549
-44800/69092 Loss: 156.044
-48000/69092 Loss: 153.885
-51200/69092 Loss: 151.917
-54400/69092 Loss: 153.655
-57600/69092 Loss: 154.280
-60800/69092 Loss: 152.941
-64000/69092 Loss: 155.576
-67200/69092 Loss: 155.964
-Training time 0:05:04.038218
-Epoch: 44 Average loss: 153.53
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 45)
-0/69092 Loss: 156.539
-3200/69092 Loss: 151.731
-6400/69092 Loss: 152.422
-9600/69092 Loss: 153.158
-12800/69092 Loss: 153.571
-16000/69092 Loss: 151.715
-19200/69092 Loss: 155.852
-22400/69092 Loss: 152.424
-25600/69092 Loss: 154.561
-28800/69092 Loss: 153.384
-32000/69092 Loss: 153.394
-35200/69092 Loss: 154.395
-38400/69092 Loss: 155.487
-41600/69092 Loss: 153.853
-44800/69092 Loss: 152.225
-48000/69092 Loss: 152.628
-51200/69092 Loss: 155.227
-54400/69092 Loss: 152.513
-57600/69092 Loss: 154.089
-60800/69092 Loss: 152.235
-64000/69092 Loss: 155.785
-67200/69092 Loss: 152.158
-Training time 0:05:04.734548
-Epoch: 45 Average loss: 153.51
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 46)
-0/69092 Loss: 160.141
-3200/69092 Loss: 153.474
-6400/69092 Loss: 152.989
-9600/69092 Loss: 154.237
-12800/69092 Loss: 152.351
-16000/69092 Loss: 153.528
-19200/69092 Loss: 154.957
-22400/69092 Loss: 151.499
-25600/69092 Loss: 152.737
-28800/69092 Loss: 154.073
-32000/69092 Loss: 152.931
-35200/69092 Loss: 156.743
-38400/69092 Loss: 155.835
-41600/69092 Loss: 154.301
-44800/69092 Loss: 152.964
-48000/69092 Loss: 152.606
-51200/69092 Loss: 153.143
-54400/69092 Loss: 153.386
-57600/69092 Loss: 150.341
-60800/69092 Loss: 154.751
-64000/69092 Loss: 153.371
-67200/69092 Loss: 155.081
-Training time 0:05:05.560478
-Epoch: 46 Average loss: 153.65
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 47)
-0/69092 Loss: 159.554
-3200/69092 Loss: 154.737
-6400/69092 Loss: 152.041
-9600/69092 Loss: 154.259
-12800/69092 Loss: 150.843
-16000/69092 Loss: 154.812
-19200/69092 Loss: 153.575
-22400/69092 Loss: 153.562
-25600/69092 Loss: 154.008
-28800/69092 Loss: 153.427
-32000/69092 Loss: 154.091
-35200/69092 Loss: 152.106
-38400/69092 Loss: 158.513
-41600/69092 Loss: 154.801
-44800/69092 Loss: 154.234
-48000/69092 Loss: 154.945
-51200/69092 Loss: 154.535
-54400/69092 Loss: 154.542
-57600/69092 Loss: 153.441
-60800/69092 Loss: 150.218
-64000/69092 Loss: 152.690
-67200/69092 Loss: 152.164
-Training time 0:05:05.756269
-Epoch: 47 Average loss: 153.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 48)
-0/69092 Loss: 134.804
-3200/69092 Loss: 153.924
-6400/69092 Loss: 151.148
-9600/69092 Loss: 150.673
-12800/69092 Loss: 155.309
-16000/69092 Loss: 152.124
-19200/69092 Loss: 155.303
-22400/69092 Loss: 151.643
-25600/69092 Loss: 151.390
-28800/69092 Loss: 150.736
-32000/69092 Loss: 156.025
-35200/69092 Loss: 154.392
-38400/69092 Loss: 153.438
-41600/69092 Loss: 152.407
-44800/69092 Loss: 155.137
-48000/69092 Loss: 154.130
-51200/69092 Loss: 153.248
-54400/69092 Loss: 153.686
-57600/69092 Loss: 155.877
-60800/69092 Loss: 152.973
-64000/69092 Loss: 153.756
-67200/69092 Loss: 153.518
-Training time 0:05:10.223096
-Epoch: 48 Average loss: 153.35
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 49)
-0/69092 Loss: 137.311
-3200/69092 Loss: 155.135
-6400/69092 Loss: 153.290
-9600/69092 Loss: 155.428
-12800/69092 Loss: 152.749
-16000/69092 Loss: 153.186
-19200/69092 Loss: 153.337
-22400/69092 Loss: 157.355
-25600/69092 Loss: 154.726
-28800/69092 Loss: 152.976
-32000/69092 Loss: 152.562
-35200/69092 Loss: 153.569
-38400/69092 Loss: 153.438
-41600/69092 Loss: 155.214
-44800/69092 Loss: 152.062
-48000/69092 Loss: 153.686
-51200/69092 Loss: 152.035
-54400/69092 Loss: 155.127
-57600/69092 Loss: 155.570
-60800/69092 Loss: 152.989
-64000/69092 Loss: 151.805
-67200/69092 Loss: 151.512
-Training time 0:05:06.435324
-Epoch: 49 Average loss: 153.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 50)
-0/69092 Loss: 176.282
-3200/69092 Loss: 152.492
-6400/69092 Loss: 151.182
-9600/69092 Loss: 153.315
-12800/69092 Loss: 150.967
-16000/69092 Loss: 155.656
-19200/69092 Loss: 154.845
-22400/69092 Loss: 155.301
-25600/69092 Loss: 154.970
-28800/69092 Loss: 152.298
-32000/69092 Loss: 155.756
-35200/69092 Loss: 156.072
-38400/69092 Loss: 154.876
-41600/69092 Loss: 157.088
-44800/69092 Loss: 155.463
-48000/69092 Loss: 153.898
-51200/69092 Loss: 152.215
-54400/69092 Loss: 152.863
-57600/69092 Loss: 153.437
-60800/69092 Loss: 152.373
-64000/69092 Loss: 151.388
-67200/69092 Loss: 150.655
-Training time 0:05:03.710498
-Epoch: 50 Average loss: 153.75
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 51)
-0/69092 Loss: 158.625
-3200/69092 Loss: 154.152
-6400/69092 Loss: 153.690
-9600/69092 Loss: 152.061
-12800/69092 Loss: 154.185
-16000/69092 Loss: 149.322
-19200/69092 Loss: 153.205
-22400/69092 Loss: 154.816
-25600/69092 Loss: 151.939
-28800/69092 Loss: 156.743
-32000/69092 Loss: 153.360
-35200/69092 Loss: 151.926
-38400/69092 Loss: 156.276
-41600/69092 Loss: 155.058
-44800/69092 Loss: 153.286
-48000/69092 Loss: 154.900
-51200/69092 Loss: 151.956
-54400/69092 Loss: 152.775
-57600/69092 Loss: 151.664
-60800/69092 Loss: 152.328
-64000/69092 Loss: 155.246
-67200/69092 Loss: 151.667
-Training time 0:05:04.672720
-Epoch: 51 Average loss: 153.40
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 52)
-0/69092 Loss: 156.898
-3200/69092 Loss: 150.986
-6400/69092 Loss: 152.840
-9600/69092 Loss: 151.740
-12800/69092 Loss: 153.018
-16000/69092 Loss: 156.755
-19200/69092 Loss: 154.863
-22400/69092 Loss: 153.028
-25600/69092 Loss: 149.774
-28800/69092 Loss: 153.092
-32000/69092 Loss: 152.882
-35200/69092 Loss: 155.499
-38400/69092 Loss: 152.468
-41600/69092 Loss: 152.468
-44800/69092 Loss: 151.979
-48000/69092 Loss: 153.114
-51200/69092 Loss: 154.031
-54400/69092 Loss: 154.356
-57600/69092 Loss: 154.272
-60800/69092 Loss: 152.246
-64000/69092 Loss: 153.062
-67200/69092 Loss: 153.387
-Training time 0:05:08.002440
-Epoch: 52 Average loss: 153.14
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 53)
-0/69092 Loss: 161.253
-3200/69092 Loss: 155.004
-6400/69092 Loss: 153.371
-9600/69092 Loss: 152.802
-12800/69092 Loss: 152.663
-16000/69092 Loss: 155.737
-19200/69092 Loss: 151.118
-22400/69092 Loss: 154.458
-25600/69092 Loss: 156.289
-28800/69092 Loss: 154.404
-32000/69092 Loss: 150.858
-35200/69092 Loss: 154.569
-38400/69092 Loss: 151.450
-41600/69092 Loss: 153.888
-44800/69092 Loss: 152.719
-48000/69092 Loss: 154.929
-51200/69092 Loss: 152.535
-54400/69092 Loss: 151.346
-57600/69092 Loss: 152.216
-60800/69092 Loss: 153.693
-64000/69092 Loss: 156.593
-67200/69092 Loss: 153.910
-Training time 0:05:06.410454
-Epoch: 53 Average loss: 153.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 54)
-0/69092 Loss: 155.533
-3200/69092 Loss: 153.937
-6400/69092 Loss: 155.412
-9600/69092 Loss: 154.931
-12800/69092 Loss: 153.251
-16000/69092 Loss: 152.131
-19200/69092 Loss: 153.399
-22400/69092 Loss: 153.270
-25600/69092 Loss: 154.298
-28800/69092 Loss: 154.523
-32000/69092 Loss: 151.808
-35200/69092 Loss: 153.407
-38400/69092 Loss: 151.423
-41600/69092 Loss: 153.940
-44800/69092 Loss: 155.125
-48000/69092 Loss: 151.519
-51200/69092 Loss: 154.659
-54400/69092 Loss: 153.851
-57600/69092 Loss: 152.930
-60800/69092 Loss: 151.557
-64000/69092 Loss: 152.873
-67200/69092 Loss: 153.245
-Training time 0:05:04.874587
-Epoch: 54 Average loss: 153.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 55)
-0/69092 Loss: 164.339
-3200/69092 Loss: 153.000
-6400/69092 Loss: 153.157
-9600/69092 Loss: 151.128
-12800/69092 Loss: 154.678
-16000/69092 Loss: 153.077
-19200/69092 Loss: 151.972
-22400/69092 Loss: 154.141
-25600/69092 Loss: 154.754
-28800/69092 Loss: 153.184
-32000/69092 Loss: 154.772
-35200/69092 Loss: 152.511
-38400/69092 Loss: 153.568
-41600/69092 Loss: 152.005
-44800/69092 Loss: 149.800
-48000/69092 Loss: 152.716
-51200/69092 Loss: 154.639
-54400/69092 Loss: 153.018
-57600/69092 Loss: 154.460
-60800/69092 Loss: 154.754
-64000/69092 Loss: 153.897
-67200/69092 Loss: 152.005
-Training time 0:05:04.064776
-Epoch: 55 Average loss: 153.22
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 56)
-0/69092 Loss: 145.024
-3200/69092 Loss: 154.929
-6400/69092 Loss: 152.530
-9600/69092 Loss: 152.945
-12800/69092 Loss: 155.670
-16000/69092 Loss: 154.351
-19200/69092 Loss: 152.745
-22400/69092 Loss: 155.064
-25600/69092 Loss: 152.553
-28800/69092 Loss: 153.270
-32000/69092 Loss: 152.030
-35200/69092 Loss: 152.364
-38400/69092 Loss: 153.618
-41600/69092 Loss: 153.368
-44800/69092 Loss: 153.049
-48000/69092 Loss: 152.522
-51200/69092 Loss: 154.650
-54400/69092 Loss: 152.192
-57600/69092 Loss: 152.361
-60800/69092 Loss: 155.067
-64000/69092 Loss: 150.842
-67200/69092 Loss: 153.224
-Training time 0:05:05.357819
-Epoch: 56 Average loss: 153.33
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 57)
-0/69092 Loss: 153.625
-3200/69092 Loss: 151.436
-6400/69092 Loss: 152.714
-9600/69092 Loss: 153.801
-12800/69092 Loss: 154.746
-16000/69092 Loss: 154.916
-19200/69092 Loss: 155.349
-22400/69092 Loss: 152.170
-25600/69092 Loss: 153.511
-28800/69092 Loss: 151.470
-32000/69092 Loss: 152.545
-35200/69092 Loss: 155.377
-38400/69092 Loss: 151.887
-41600/69092 Loss: 154.537
-44800/69092 Loss: 154.658
-48000/69092 Loss: 153.163
-51200/69092 Loss: 152.460
-54400/69092 Loss: 152.746
-57600/69092 Loss: 154.616
-60800/69092 Loss: 151.210
-64000/69092 Loss: 153.386
-67200/69092 Loss: 152.204
-Training time 0:05:00.132235
-Epoch: 57 Average loss: 153.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 58)
-0/69092 Loss: 140.014
-3200/69092 Loss: 156.273
-6400/69092 Loss: 153.502
-9600/69092 Loss: 152.811
-12800/69092 Loss: 152.082
-16000/69092 Loss: 150.071
-19200/69092 Loss: 152.512
-22400/69092 Loss: 151.939
-25600/69092 Loss: 151.793
-28800/69092 Loss: 151.631
-32000/69092 Loss: 155.074
-35200/69092 Loss: 151.940
-38400/69092 Loss: 153.641
-41600/69092 Loss: 154.657
-44800/69092 Loss: 155.468
-48000/69092 Loss: 153.665
-51200/69092 Loss: 154.009
-54400/69092 Loss: 154.453
-57600/69092 Loss: 155.003
-60800/69092 Loss: 149.373
-64000/69092 Loss: 154.071
-67200/69092 Loss: 153.819
-Training time 0:05:08.698422
-Epoch: 58 Average loss: 153.29
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 59)
-0/69092 Loss: 143.812
-3200/69092 Loss: 153.009
-6400/69092 Loss: 153.208
-9600/69092 Loss: 154.279
-12800/69092 Loss: 152.098
-16000/69092 Loss: 151.400
-19200/69092 Loss: 153.523
-22400/69092 Loss: 153.810
-25600/69092 Loss: 155.014
-28800/69092 Loss: 154.882
-32000/69092 Loss: 152.385
-35200/69092 Loss: 152.551
-38400/69092 Loss: 151.502
-41600/69092 Loss: 153.572
-44800/69092 Loss: 153.259
-48000/69092 Loss: 150.445
-51200/69092 Loss: 150.321
-54400/69092 Loss: 152.052
-57600/69092 Loss: 152.770
-60800/69092 Loss: 151.706
-64000/69092 Loss: 154.925
-67200/69092 Loss: 152.911
-Training time 0:05:04.608892
-Epoch: 59 Average loss: 152.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 60)
-0/69092 Loss: 162.215
-3200/69092 Loss: 152.426
-6400/69092 Loss: 152.394
-9600/69092 Loss: 149.961
-12800/69092 Loss: 152.450
-16000/69092 Loss: 153.276
-19200/69092 Loss: 152.965
-22400/69092 Loss: 153.926
-25600/69092 Loss: 153.751
-28800/69092 Loss: 152.589
-32000/69092 Loss: 154.798
-35200/69092 Loss: 151.504
-38400/69092 Loss: 156.993
-41600/69092 Loss: 151.467
-44800/69092 Loss: 152.940
-48000/69092 Loss: 152.895
-51200/69092 Loss: 153.160
-54400/69092 Loss: 156.046
-57600/69092 Loss: 154.143
-60800/69092 Loss: 153.214
-64000/69092 Loss: 152.232
-67200/69092 Loss: 154.575
-Training time 0:05:11.751397
-Epoch: 60 Average loss: 153.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 61)
-0/69092 Loss: 148.478
-3200/69092 Loss: 154.240
-6400/69092 Loss: 154.791
-9600/69092 Loss: 151.924
-12800/69092 Loss: 152.483
-16000/69092 Loss: 152.506
-19200/69092 Loss: 152.950
-22400/69092 Loss: 151.456
-25600/69092 Loss: 154.445
-28800/69092 Loss: 150.913
-32000/69092 Loss: 152.421
-35200/69092 Loss: 155.222
-38400/69092 Loss: 156.020
-41600/69092 Loss: 151.382
-44800/69092 Loss: 153.835
-48000/69092 Loss: 153.079
-51200/69092 Loss: 154.136
-54400/69092 Loss: 153.399
-57600/69092 Loss: 154.339
-60800/69092 Loss: 155.080
-64000/69092 Loss: 152.277
-67200/69092 Loss: 148.640
-Training time 0:05:05.818863
-Epoch: 61 Average loss: 153.16
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 62)
-0/69092 Loss: 162.908
-3200/69092 Loss: 152.068
-6400/69092 Loss: 153.853
-9600/69092 Loss: 151.146
-12800/69092 Loss: 153.924
-16000/69092 Loss: 151.657
-19200/69092 Loss: 150.882
-22400/69092 Loss: 151.974
-25600/69092 Loss: 154.947
-28800/69092 Loss: 153.533
-32000/69092 Loss: 153.462
-35200/69092 Loss: 152.480
-38400/69092 Loss: 152.152
-41600/69092 Loss: 153.849
-44800/69092 Loss: 154.626
-48000/69092 Loss: 151.176
-51200/69092 Loss: 155.849
-54400/69092 Loss: 150.300
-57600/69092 Loss: 151.026
-60800/69092 Loss: 151.228
-64000/69092 Loss: 155.838
-67200/69092 Loss: 156.099
-Training time 0:05:08.367117
-Epoch: 62 Average loss: 152.92
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 63)
-0/69092 Loss: 158.083
-3200/69092 Loss: 152.139
-6400/69092 Loss: 151.515
-9600/69092 Loss: 154.007
-12800/69092 Loss: 154.114
-16000/69092 Loss: 152.373
-19200/69092 Loss: 156.591
-22400/69092 Loss: 153.921
-25600/69092 Loss: 153.131
-28800/69092 Loss: 153.269
-32000/69092 Loss: 153.428
-35200/69092 Loss: 153.374
-38400/69092 Loss: 154.027
-41600/69092 Loss: 153.133
-44800/69092 Loss: 151.447
-48000/69092 Loss: 153.021
-51200/69092 Loss: 153.346
-54400/69092 Loss: 153.267
-57600/69092 Loss: 153.133
-60800/69092 Loss: 150.994
-64000/69092 Loss: 151.683
-67200/69092 Loss: 152.689
-Training time 0:05:00.343405
-Epoch: 63 Average loss: 153.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 64)
-0/69092 Loss: 155.382
-3200/69092 Loss: 150.348
-6400/69092 Loss: 153.559
-9600/69092 Loss: 151.789
-12800/69092 Loss: 152.339
-16000/69092 Loss: 152.841
-19200/69092 Loss: 153.235
-22400/69092 Loss: 155.057
-25600/69092 Loss: 152.698
-28800/69092 Loss: 154.833
-32000/69092 Loss: 151.222
-35200/69092 Loss: 154.029
-38400/69092 Loss: 150.603
-41600/69092 Loss: 153.714
-44800/69092 Loss: 152.634
-48000/69092 Loss: 155.500
-51200/69092 Loss: 152.528
-54400/69092 Loss: 150.831
-57600/69092 Loss: 156.847
-60800/69092 Loss: 151.564
-64000/69092 Loss: 153.409
-67200/69092 Loss: 154.167
-Training time 0:05:03.212436
-Epoch: 64 Average loss: 153.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 65)
-0/69092 Loss: 139.758
-3200/69092 Loss: 151.157
-6400/69092 Loss: 152.249
-9600/69092 Loss: 154.095
-12800/69092 Loss: 153.313
-16000/69092 Loss: 150.597
-19200/69092 Loss: 155.302
-22400/69092 Loss: 152.118
-25600/69092 Loss: 153.546
-28800/69092 Loss: 154.313
-32000/69092 Loss: 153.620
-35200/69092 Loss: 154.113
-38400/69092 Loss: 155.124
-41600/69092 Loss: 152.480
-44800/69092 Loss: 152.689
-48000/69092 Loss: 152.772
-51200/69092 Loss: 152.237
-54400/69092 Loss: 152.833
-57600/69092 Loss: 151.780
-60800/69092 Loss: 152.019
-64000/69092 Loss: 151.113
-67200/69092 Loss: 154.489
-Training time 0:05:05.074899
-Epoch: 65 Average loss: 152.91
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 66)
-0/69092 Loss: 159.979
-3200/69092 Loss: 151.053
-6400/69092 Loss: 154.034
-9600/69092 Loss: 152.561
-12800/69092 Loss: 156.672
-16000/69092 Loss: 152.556
-19200/69092 Loss: 152.532
-22400/69092 Loss: 153.240
-25600/69092 Loss: 155.443
-28800/69092 Loss: 154.030
-32000/69092 Loss: 153.251
-35200/69092 Loss: 152.415
-38400/69092 Loss: 155.896
-41600/69092 Loss: 151.039
-44800/69092 Loss: 151.409
-48000/69092 Loss: 151.106
-51200/69092 Loss: 151.377
-54400/69092 Loss: 150.559
-57600/69092 Loss: 154.342
-60800/69092 Loss: 150.862
-64000/69092 Loss: 152.216
-67200/69092 Loss: 151.325
-Training time 0:05:00.575013
-Epoch: 66 Average loss: 152.76
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 67)
-0/69092 Loss: 142.966
-3200/69092 Loss: 152.295
-6400/69092 Loss: 155.944
-9600/69092 Loss: 152.407
-12800/69092 Loss: 153.805
-16000/69092 Loss: 152.183
-19200/69092 Loss: 153.307
-22400/69092 Loss: 150.859
-25600/69092 Loss: 154.866
-28800/69092 Loss: 154.007
-32000/69092 Loss: 153.482
-35200/69092 Loss: 153.582
-38400/69092 Loss: 152.513
-41600/69092 Loss: 152.289
-44800/69092 Loss: 152.738
-48000/69092 Loss: 149.751
-51200/69092 Loss: 154.121
-54400/69092 Loss: 151.372
-57600/69092 Loss: 152.082
-60800/69092 Loss: 151.721
-64000/69092 Loss: 154.688
-67200/69092 Loss: 152.273
-Training time 0:05:03.398712
-Epoch: 67 Average loss: 152.86
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 68)
-0/69092 Loss: 156.820
-3200/69092 Loss: 153.983
-6400/69092 Loss: 152.582
-9600/69092 Loss: 152.875
-12800/69092 Loss: 154.775
-16000/69092 Loss: 151.311
-19200/69092 Loss: 154.312
-22400/69092 Loss: 153.475
-25600/69092 Loss: 153.559
-28800/69092 Loss: 152.839
-32000/69092 Loss: 151.645
-35200/69092 Loss: 152.993
-38400/69092 Loss: 152.570
-41600/69092 Loss: 152.728
-44800/69092 Loss: 155.204
-48000/69092 Loss: 151.278
-51200/69092 Loss: 150.405
-54400/69092 Loss: 151.839
-57600/69092 Loss: 152.835
-60800/69092 Loss: 152.176
-64000/69092 Loss: 153.671
-67200/69092 Loss: 152.518
-Training time 0:05:07.168211
-Epoch: 68 Average loss: 152.74
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 69)
-0/69092 Loss: 154.987
-3200/69092 Loss: 153.001
-6400/69092 Loss: 152.196
-9600/69092 Loss: 152.795
-12800/69092 Loss: 151.874
-16000/69092 Loss: 150.412
-19200/69092 Loss: 152.470
-22400/69092 Loss: 156.112
-25600/69092 Loss: 153.249
-28800/69092 Loss: 153.358
-32000/69092 Loss: 153.126
-35200/69092 Loss: 152.111
-38400/69092 Loss: 151.914
-41600/69092 Loss: 152.241
-44800/69092 Loss: 156.576
-48000/69092 Loss: 153.261
-51200/69092 Loss: 151.098
-54400/69092 Loss: 152.671
-57600/69092 Loss: 150.513
-60800/69092 Loss: 153.903
-64000/69092 Loss: 152.987
-67200/69092 Loss: 153.839
-Training time 0:05:01.142378
-Epoch: 69 Average loss: 152.87
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 70)
-0/69092 Loss: 138.401
-3200/69092 Loss: 155.595
-6400/69092 Loss: 151.267
-9600/69092 Loss: 150.606
-12800/69092 Loss: 151.684
-16000/69092 Loss: 151.296
-19200/69092 Loss: 155.351
-22400/69092 Loss: 153.372
-25600/69092 Loss: 150.808
-28800/69092 Loss: 154.447
-32000/69092 Loss: 154.128
-35200/69092 Loss: 152.911
-38400/69092 Loss: 154.448
-41600/69092 Loss: 153.440
-44800/69092 Loss: 151.671
-48000/69092 Loss: 151.455
-51200/69092 Loss: 151.722
-54400/69092 Loss: 154.920
-57600/69092 Loss: 152.498
-60800/69092 Loss: 152.582
-64000/69092 Loss: 153.175
-67200/69092 Loss: 152.935
-Training time 0:05:01.443628
-Epoch: 70 Average loss: 152.89
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 71)
-0/69092 Loss: 148.997
-3200/69092 Loss: 153.403
-6400/69092 Loss: 152.238
-9600/69092 Loss: 152.631
-12800/69092 Loss: 154.329
-16000/69092 Loss: 152.442
-19200/69092 Loss: 155.095
-22400/69092 Loss: 148.772
-25600/69092 Loss: 150.420
-28800/69092 Loss: 150.991
-32000/69092 Loss: 150.446
-35200/69092 Loss: 153.889
-38400/69092 Loss: 151.610
-41600/69092 Loss: 157.595
-44800/69092 Loss: 156.073
-48000/69092 Loss: 151.608
-51200/69092 Loss: 152.426
-54400/69092 Loss: 153.357
-57600/69092 Loss: 155.688
-60800/69092 Loss: 152.993
-64000/69092 Loss: 152.860
-67200/69092 Loss: 151.448
-Training time 0:05:06.476809
-Epoch: 71 Average loss: 152.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 72)
-0/69092 Loss: 141.329
-3200/69092 Loss: 150.459
-6400/69092 Loss: 150.223
-9600/69092 Loss: 149.934
-12800/69092 Loss: 155.668
-16000/69092 Loss: 153.889
-19200/69092 Loss: 151.707
-22400/69092 Loss: 155.100
-25600/69092 Loss: 153.854
-28800/69092 Loss: 154.796
-32000/69092 Loss: 150.782
-35200/69092 Loss: 154.409
-38400/69092 Loss: 149.620
-41600/69092 Loss: 152.567
-44800/69092 Loss: 154.245
-48000/69092 Loss: 154.795
-51200/69092 Loss: 152.696
-54400/69092 Loss: 151.767
-57600/69092 Loss: 152.658
-60800/69092 Loss: 151.507
-64000/69092 Loss: 154.653
-67200/69092 Loss: 155.114
-Training time 0:04:59.466738
-Epoch: 72 Average loss: 152.78
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 73)
-0/69092 Loss: 151.954
-3200/69092 Loss: 150.543
-6400/69092 Loss: 150.064
-9600/69092 Loss: 151.341
-12800/69092 Loss: 155.051
-16000/69092 Loss: 151.767
-19200/69092 Loss: 151.707
-22400/69092 Loss: 150.051
-25600/69092 Loss: 153.169
-28800/69092 Loss: 152.199
-32000/69092 Loss: 153.218
-35200/69092 Loss: 154.742
-38400/69092 Loss: 153.789
-41600/69092 Loss: 152.391
-44800/69092 Loss: 153.139
-48000/69092 Loss: 151.313
-51200/69092 Loss: 153.902
-54400/69092 Loss: 153.355
-57600/69092 Loss: 155.380
-60800/69092 Loss: 154.568
-64000/69092 Loss: 154.107
-67200/69092 Loss: 154.334
-Training time 0:05:03.158249
-Epoch: 73 Average loss: 152.88
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 74)
-0/69092 Loss: 149.423
-3200/69092 Loss: 151.679
-6400/69092 Loss: 153.798
-9600/69092 Loss: 152.668
-12800/69092 Loss: 153.307
-16000/69092 Loss: 153.359
-19200/69092 Loss: 153.498
-22400/69092 Loss: 153.059
-25600/69092 Loss: 149.113
-28800/69092 Loss: 150.271
-32000/69092 Loss: 151.695
-35200/69092 Loss: 153.754
-38400/69092 Loss: 154.245
-41600/69092 Loss: 153.353
-44800/69092 Loss: 155.702
-48000/69092 Loss: 154.674
-51200/69092 Loss: 154.443
-54400/69092 Loss: 151.039
-57600/69092 Loss: 152.744
-60800/69092 Loss: 151.841
-64000/69092 Loss: 150.926
-67200/69092 Loss: 152.025
-Training time 0:05:01.050127
-Epoch: 74 Average loss: 152.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 75)
-0/69092 Loss: 166.404
-3200/69092 Loss: 152.402
-6400/69092 Loss: 153.553
-9600/69092 Loss: 152.141
-12800/69092 Loss: 154.060
-16000/69092 Loss: 153.407
-19200/69092 Loss: 151.435
-22400/69092 Loss: 153.794
-25600/69092 Loss: 153.962
-28800/69092 Loss: 151.479
-32000/69092 Loss: 152.428
-35200/69092 Loss: 150.827
-38400/69092 Loss: 154.074
-41600/69092 Loss: 150.292
-44800/69092 Loss: 153.294
-48000/69092 Loss: 155.552
-51200/69092 Loss: 151.826
-54400/69092 Loss: 148.807
-57600/69092 Loss: 153.112
-60800/69092 Loss: 152.712
-64000/69092 Loss: 152.365
-67200/69092 Loss: 156.062
-Training time 0:05:00.279982
-Epoch: 75 Average loss: 152.80
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 76)
-0/69092 Loss: 160.236
-3200/69092 Loss: 156.036
-6400/69092 Loss: 151.301
-9600/69092 Loss: 154.022
-12800/69092 Loss: 152.363
-16000/69092 Loss: 152.940
-19200/69092 Loss: 152.926
-22400/69092 Loss: 155.772
-25600/69092 Loss: 149.718
-28800/69092 Loss: 153.058
-32000/69092 Loss: 154.940
-35200/69092 Loss: 149.198
-38400/69092 Loss: 150.990
-41600/69092 Loss: 153.861
-44800/69092 Loss: 152.412
-48000/69092 Loss: 151.850
-51200/69092 Loss: 151.471
-54400/69092 Loss: 152.056
-57600/69092 Loss: 153.746
-60800/69092 Loss: 152.218
-64000/69092 Loss: 154.474
-67200/69092 Loss: 153.115
-Training time 0:05:03.586743
-Epoch: 76 Average loss: 152.70
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 77)
-0/69092 Loss: 151.925
-3200/69092 Loss: 152.772
-6400/69092 Loss: 153.458
-9600/69092 Loss: 153.755
-12800/69092 Loss: 150.433
-16000/69092 Loss: 155.720
-19200/69092 Loss: 154.717
-22400/69092 Loss: 151.831
-25600/69092 Loss: 152.225
-28800/69092 Loss: 155.586
-32000/69092 Loss: 150.702
-35200/69092 Loss: 152.576
-38400/69092 Loss: 153.101
-41600/69092 Loss: 152.526
-44800/69092 Loss: 151.885
-48000/69092 Loss: 153.356
-51200/69092 Loss: 153.625
-54400/69092 Loss: 152.734
-57600/69092 Loss: 153.902
-60800/69092 Loss: 150.747
-64000/69092 Loss: 151.922
-67200/69092 Loss: 151.135
-Training time 0:05:01.913817
-Epoch: 77 Average loss: 152.74
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 78)
-0/69092 Loss: 150.499
-3200/69092 Loss: 150.364
-6400/69092 Loss: 152.616
-9600/69092 Loss: 150.805
-12800/69092 Loss: 152.270
-16000/69092 Loss: 154.041
-19200/69092 Loss: 151.174
-22400/69092 Loss: 152.580
-25600/69092 Loss: 150.905
-28800/69092 Loss: 151.016
-32000/69092 Loss: 155.241
-35200/69092 Loss: 153.416
-38400/69092 Loss: 155.948
-41600/69092 Loss: 151.825
-44800/69092 Loss: 152.065
-48000/69092 Loss: 153.484
-51200/69092 Loss: 154.511
-54400/69092 Loss: 153.743
-57600/69092 Loss: 153.570
-60800/69092 Loss: 152.180
-64000/69092 Loss: 149.114
-67200/69092 Loss: 151.693
-Training time 0:05:04.301251
-Epoch: 78 Average loss: 152.53
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 79)
-0/69092 Loss: 139.963
-3200/69092 Loss: 152.064
-6400/69092 Loss: 154.636
-9600/69092 Loss: 151.479
-12800/69092 Loss: 154.645
-16000/69092 Loss: 155.208
-19200/69092 Loss: 154.139
-22400/69092 Loss: 154.556
-25600/69092 Loss: 154.659
-28800/69092 Loss: 153.859
-32000/69092 Loss: 152.297
-35200/69092 Loss: 152.349
-38400/69092 Loss: 151.648
-41600/69092 Loss: 154.945
-44800/69092 Loss: 152.920
-48000/69092 Loss: 153.521
-51200/69092 Loss: 150.717
-54400/69092 Loss: 150.692
-57600/69092 Loss: 151.252
-60800/69092 Loss: 150.369
-64000/69092 Loss: 151.706
-67200/69092 Loss: 152.179
-Training time 0:05:00.712610
-Epoch: 79 Average loss: 152.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 80)
-0/69092 Loss: 145.566
-3200/69092 Loss: 150.740
-6400/69092 Loss: 150.905
-9600/69092 Loss: 153.793
-12800/69092 Loss: 152.054
-16000/69092 Loss: 151.727
-19200/69092 Loss: 153.509
-22400/69092 Loss: 152.940
-25600/69092 Loss: 154.239
-28800/69092 Loss: 153.820
-32000/69092 Loss: 152.859
-35200/69092 Loss: 151.372
-38400/69092 Loss: 154.048
-41600/69092 Loss: 153.518
-44800/69092 Loss: 151.242
-48000/69092 Loss: 150.291
-51200/69092 Loss: 151.278
-54400/69092 Loss: 150.139
-57600/69092 Loss: 153.476
-60800/69092 Loss: 152.763
-64000/69092 Loss: 153.223
-67200/69092 Loss: 154.283
-Training time 0:05:01.484190
-Epoch: 80 Average loss: 152.58
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 81)
-0/69092 Loss: 152.637
-3200/69092 Loss: 150.512
-6400/69092 Loss: 151.159
-9600/69092 Loss: 152.371
-12800/69092 Loss: 151.326
-16000/69092 Loss: 153.093
-19200/69092 Loss: 151.106
-22400/69092 Loss: 153.780
-25600/69092 Loss: 156.551
-28800/69092 Loss: 152.412
-32000/69092 Loss: 152.912
-35200/69092 Loss: 151.983
-38400/69092 Loss: 153.083
-41600/69092 Loss: 153.586
-44800/69092 Loss: 152.433
-48000/69092 Loss: 153.503
-51200/69092 Loss: 152.919
-54400/69092 Loss: 151.444
-57600/69092 Loss: 152.309
-60800/69092 Loss: 153.188
-64000/69092 Loss: 152.829
-67200/69092 Loss: 152.593
-Training time 0:05:14.836802
-Epoch: 81 Average loss: 152.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 82)
-0/69092 Loss: 127.290
-3200/69092 Loss: 152.351
-6400/69092 Loss: 152.768
-9600/69092 Loss: 152.386
-12800/69092 Loss: 154.187
-16000/69092 Loss: 153.321
-19200/69092 Loss: 153.269
-22400/69092 Loss: 151.541
-25600/69092 Loss: 152.779
-28800/69092 Loss: 152.687
-32000/69092 Loss: 150.497
-35200/69092 Loss: 154.914
-38400/69092 Loss: 151.950
-41600/69092 Loss: 152.179
-44800/69092 Loss: 153.137
-48000/69092 Loss: 152.031
-51200/69092 Loss: 150.718
-54400/69092 Loss: 152.290
-57600/69092 Loss: 152.399
-60800/69092 Loss: 153.191
-64000/69092 Loss: 152.428
-67200/69092 Loss: 153.222
-Training time 0:05:03.126978
-Epoch: 82 Average loss: 152.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 83)
-0/69092 Loss: 170.106
-3200/69092 Loss: 151.821
-6400/69092 Loss: 152.948
-9600/69092 Loss: 155.070
-12800/69092 Loss: 151.771
-16000/69092 Loss: 151.659
-19200/69092 Loss: 150.362
-22400/69092 Loss: 153.987
-25600/69092 Loss: 150.692
-28800/69092 Loss: 154.158
-32000/69092 Loss: 150.786
-35200/69092 Loss: 151.568
-38400/69092 Loss: 155.342
-41600/69092 Loss: 151.864
-44800/69092 Loss: 153.326
-48000/69092 Loss: 150.261
-51200/69092 Loss: 152.559
-54400/69092 Loss: 154.103
-57600/69092 Loss: 151.534
-60800/69092 Loss: 152.258
-64000/69092 Loss: 150.644
-67200/69092 Loss: 154.056
-Training time 0:05:04.365485
-Epoch: 83 Average loss: 152.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 84)
-0/69092 Loss: 156.607
-3200/69092 Loss: 153.684
-6400/69092 Loss: 152.161
-9600/69092 Loss: 151.058
-12800/69092 Loss: 153.163
-16000/69092 Loss: 151.401
-19200/69092 Loss: 150.793
-22400/69092 Loss: 151.713
-25600/69092 Loss: 153.818
-28800/69092 Loss: 155.153
-32000/69092 Loss: 153.687
-35200/69092 Loss: 153.718
-38400/69092 Loss: 153.344
-41600/69092 Loss: 154.692
-44800/69092 Loss: 153.889
-48000/69092 Loss: 151.061
-51200/69092 Loss: 152.466
-54400/69092 Loss: 153.934
-57600/69092 Loss: 152.357
-60800/69092 Loss: 150.489
-64000/69092 Loss: 151.883
-67200/69092 Loss: 153.254
-Training time 0:05:05.027352
-Epoch: 84 Average loss: 152.66
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 85)
-0/69092 Loss: 144.233
-3200/69092 Loss: 151.305
-6400/69092 Loss: 152.445
-9600/69092 Loss: 152.617
-12800/69092 Loss: 154.848
-16000/69092 Loss: 151.736
-19200/69092 Loss: 154.041
-22400/69092 Loss: 154.408
-25600/69092 Loss: 152.803
-28800/69092 Loss: 152.694
-32000/69092 Loss: 149.173
-35200/69092 Loss: 149.996
-38400/69092 Loss: 150.598
-41600/69092 Loss: 152.484
-44800/69092 Loss: 149.742
-48000/69092 Loss: 154.882
-51200/69092 Loss: 149.077
-54400/69092 Loss: 153.066
-57600/69092 Loss: 153.498
-60800/69092 Loss: 153.081
-64000/69092 Loss: 152.484
-67200/69092 Loss: 155.103
-Training time 0:05:00.247594
-Epoch: 85 Average loss: 152.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 86)
-0/69092 Loss: 141.634
-3200/69092 Loss: 154.162
-6400/69092 Loss: 155.657
-9600/69092 Loss: 152.385
-12800/69092 Loss: 150.410
-16000/69092 Loss: 152.131
-19200/69092 Loss: 150.595
-22400/69092 Loss: 150.497
-25600/69092 Loss: 153.052
-28800/69092 Loss: 153.005
-32000/69092 Loss: 152.996
-35200/69092 Loss: 150.578
-38400/69092 Loss: 154.163
-41600/69092 Loss: 150.851
-44800/69092 Loss: 150.714
-48000/69092 Loss: 151.768
-51200/69092 Loss: 153.833
-54400/69092 Loss: 152.679
-57600/69092 Loss: 152.159
-60800/69092 Loss: 152.186
-64000/69092 Loss: 151.733
-67200/69092 Loss: 152.934
-Training time 0:04:59.334738
-Epoch: 86 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 87)
-0/69092 Loss: 132.613
-3200/69092 Loss: 154.505
-6400/69092 Loss: 150.723
-9600/69092 Loss: 154.777
-12800/69092 Loss: 154.341
-16000/69092 Loss: 152.327
-19200/69092 Loss: 152.538
-22400/69092 Loss: 152.846
-25600/69092 Loss: 152.652
-28800/69092 Loss: 152.130
-32000/69092 Loss: 151.218
-35200/69092 Loss: 151.767
-38400/69092 Loss: 150.011
-41600/69092 Loss: 151.972
-44800/69092 Loss: 152.368
-48000/69092 Loss: 150.778
-51200/69092 Loss: 151.855
-54400/69092 Loss: 151.421
-57600/69092 Loss: 153.227
-60800/69092 Loss: 153.404
-64000/69092 Loss: 154.412
-67200/69092 Loss: 155.687
-Training time 0:05:04.861271
-Epoch: 87 Average loss: 152.58
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 88)
-0/69092 Loss: 149.474
-3200/69092 Loss: 150.297
-6400/69092 Loss: 152.666
-9600/69092 Loss: 152.328
-12800/69092 Loss: 154.612
-16000/69092 Loss: 153.454
-19200/69092 Loss: 150.684
-22400/69092 Loss: 151.669
-25600/69092 Loss: 154.238
-28800/69092 Loss: 152.287
-32000/69092 Loss: 154.842
-35200/69092 Loss: 154.491
-38400/69092 Loss: 154.811
-41600/69092 Loss: 150.886
-44800/69092 Loss: 152.775
-48000/69092 Loss: 151.452
-51200/69092 Loss: 153.143
-54400/69092 Loss: 149.978
-57600/69092 Loss: 154.368
-60800/69092 Loss: 150.601
-64000/69092 Loss: 154.155
-67200/69092 Loss: 150.809
-Training time 0:04:59.932954
-Epoch: 88 Average loss: 152.54
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 89)
-0/69092 Loss: 143.299
-3200/69092 Loss: 152.911
-6400/69092 Loss: 151.744
-9600/69092 Loss: 154.087
-12800/69092 Loss: 153.153
-16000/69092 Loss: 153.537
-19200/69092 Loss: 152.830
-22400/69092 Loss: 150.626
-25600/69092 Loss: 149.894
-28800/69092 Loss: 151.881
-32000/69092 Loss: 152.581
-35200/69092 Loss: 154.882
-38400/69092 Loss: 152.432
-41600/69092 Loss: 152.900
-44800/69092 Loss: 151.728
-48000/69092 Loss: 151.693
-51200/69092 Loss: 151.184
-54400/69092 Loss: 151.568
-57600/69092 Loss: 153.244
-60800/69092 Loss: 152.252
-64000/69092 Loss: 151.284
-67200/69092 Loss: 151.461
-Training time 0:04:58.809173
-Epoch: 89 Average loss: 152.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 90)
-0/69092 Loss: 144.438
-3200/69092 Loss: 151.207
-6400/69092 Loss: 152.556
-9600/69092 Loss: 153.540
-12800/69092 Loss: 152.265
-16000/69092 Loss: 151.794
-19200/69092 Loss: 154.257
-22400/69092 Loss: 153.766
-25600/69092 Loss: 152.606
-28800/69092 Loss: 150.654
-32000/69092 Loss: 151.568
-35200/69092 Loss: 152.547
-38400/69092 Loss: 153.567
-41600/69092 Loss: 152.986
-44800/69092 Loss: 154.000
-48000/69092 Loss: 152.426
-51200/69092 Loss: 152.760
-54400/69092 Loss: 152.946
-57600/69092 Loss: 152.907
-60800/69092 Loss: 152.971
-64000/69092 Loss: 150.503
-67200/69092 Loss: 151.103
-Training time 0:05:05.040677
-Epoch: 90 Average loss: 152.57
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 91)
-0/69092 Loss: 151.201
-3200/69092 Loss: 148.363
-6400/69092 Loss: 152.795
-9600/69092 Loss: 154.857
-12800/69092 Loss: 154.865
-16000/69092 Loss: 151.746
-19200/69092 Loss: 151.830
-22400/69092 Loss: 152.672
-25600/69092 Loss: 153.510
-28800/69092 Loss: 152.644
-32000/69092 Loss: 152.946
-35200/69092 Loss: 152.825
-38400/69092 Loss: 152.690
-41600/69092 Loss: 151.726
-44800/69092 Loss: 151.685
-48000/69092 Loss: 149.414
-51200/69092 Loss: 152.569
-54400/69092 Loss: 150.847
-57600/69092 Loss: 154.336
-60800/69092 Loss: 153.217
-64000/69092 Loss: 156.152
-67200/69092 Loss: 149.649
-Training time 0:05:07.174822
-Epoch: 91 Average loss: 152.41
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 92)
-0/69092 Loss: 146.879
-3200/69092 Loss: 151.679
-6400/69092 Loss: 154.180
-9600/69092 Loss: 152.580
-12800/69092 Loss: 154.908
-16000/69092 Loss: 151.998
-19200/69092 Loss: 154.043
-22400/69092 Loss: 152.445
-25600/69092 Loss: 152.331
-28800/69092 Loss: 152.467
-32000/69092 Loss: 154.391
-35200/69092 Loss: 149.140
-38400/69092 Loss: 154.011
-41600/69092 Loss: 152.635
-44800/69092 Loss: 153.557
-48000/69092 Loss: 151.022
-51200/69092 Loss: 153.452
-54400/69092 Loss: 151.311
-57600/69092 Loss: 150.852
-60800/69092 Loss: 152.605
-64000/69092 Loss: 152.167
-67200/69092 Loss: 149.958
-Training time 0:05:02.091466
-Epoch: 92 Average loss: 152.46
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 93)
-0/69092 Loss: 155.889
-3200/69092 Loss: 151.318
-6400/69092 Loss: 153.910
-9600/69092 Loss: 149.093
-12800/69092 Loss: 152.369
-16000/69092 Loss: 149.840
-19200/69092 Loss: 154.737
-22400/69092 Loss: 150.456
-25600/69092 Loss: 153.290
-28800/69092 Loss: 150.556
-32000/69092 Loss: 153.934
-35200/69092 Loss: 152.128
-38400/69092 Loss: 155.152
-41600/69092 Loss: 151.227
-44800/69092 Loss: 152.402
-48000/69092 Loss: 152.533
-51200/69092 Loss: 153.016
-54400/69092 Loss: 152.008
-57600/69092 Loss: 154.355
-60800/69092 Loss: 151.960
-64000/69092 Loss: 151.035
-67200/69092 Loss: 151.408
-Training time 0:05:09.818408
-Epoch: 93 Average loss: 152.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 94)
-0/69092 Loss: 160.898
-3200/69092 Loss: 152.832
-6400/69092 Loss: 152.692
-9600/69092 Loss: 149.815
-12800/69092 Loss: 150.418
-16000/69092 Loss: 153.161
-19200/69092 Loss: 153.317
-22400/69092 Loss: 154.669
-25600/69092 Loss: 151.977
-28800/69092 Loss: 151.650
-32000/69092 Loss: 151.620
-35200/69092 Loss: 150.944
-38400/69092 Loss: 152.662
-41600/69092 Loss: 152.309
-44800/69092 Loss: 153.141
-48000/69092 Loss: 152.710
-51200/69092 Loss: 149.739
-54400/69092 Loss: 152.727
-57600/69092 Loss: 151.518
-60800/69092 Loss: 154.450
-64000/69092 Loss: 153.961
-67200/69092 Loss: 150.943
-Training time 0:05:11.518790
-Epoch: 94 Average loss: 152.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 95)
-0/69092 Loss: 158.054
-3200/69092 Loss: 154.231
-6400/69092 Loss: 154.395
-9600/69092 Loss: 153.585
-12800/69092 Loss: 153.048
-16000/69092 Loss: 154.041
-19200/69092 Loss: 150.861
-22400/69092 Loss: 153.845
-25600/69092 Loss: 149.978
-28800/69092 Loss: 151.273
-32000/69092 Loss: 155.098
-35200/69092 Loss: 152.181
-38400/69092 Loss: 154.399
-41600/69092 Loss: 150.771
-44800/69092 Loss: 149.101
-48000/69092 Loss: 150.421
-51200/69092 Loss: 154.368
-54400/69092 Loss: 147.994
-57600/69092 Loss: 150.609
-60800/69092 Loss: 152.076
-64000/69092 Loss: 153.247
-67200/69092 Loss: 151.974
-Training time 0:05:19.096335
-Epoch: 95 Average loss: 152.25
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 96)
-0/69092 Loss: 167.858
-3200/69092 Loss: 151.973
-6400/69092 Loss: 150.961
-9600/69092 Loss: 153.146
-12800/69092 Loss: 153.905
-16000/69092 Loss: 150.775
-19200/69092 Loss: 151.109
-22400/69092 Loss: 153.245
-25600/69092 Loss: 151.288
-28800/69092 Loss: 149.723
-32000/69092 Loss: 153.029
-35200/69092 Loss: 154.187
-38400/69092 Loss: 152.289
-41600/69092 Loss: 152.623
-44800/69092 Loss: 150.950
-48000/69092 Loss: 151.842
-51200/69092 Loss: 151.985
-54400/69092 Loss: 151.905
-57600/69092 Loss: 154.471
-60800/69092 Loss: 148.848
-64000/69092 Loss: 151.029
-67200/69092 Loss: 154.073
-Training time 0:05:14.758375
-Epoch: 96 Average loss: 152.11
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 97)
-0/69092 Loss: 147.837
-3200/69092 Loss: 154.152
-6400/69092 Loss: 149.796
-9600/69092 Loss: 151.266
-12800/69092 Loss: 154.179
-16000/69092 Loss: 153.537
-19200/69092 Loss: 152.437
-22400/69092 Loss: 153.179
-25600/69092 Loss: 154.426
-28800/69092 Loss: 151.582
-32000/69092 Loss: 150.323
-35200/69092 Loss: 151.787
-38400/69092 Loss: 151.679
-41600/69092 Loss: 151.968
-44800/69092 Loss: 150.813
-48000/69092 Loss: 150.975
-51200/69092 Loss: 151.489
-54400/69092 Loss: 152.246
-57600/69092 Loss: 153.647
-60800/69092 Loss: 151.336
-64000/69092 Loss: 151.397
-67200/69092 Loss: 155.549
-Training time 0:05:10.379359
-Epoch: 97 Average loss: 152.33
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 98)
-0/69092 Loss: 154.740
-3200/69092 Loss: 151.913
-6400/69092 Loss: 150.169
-9600/69092 Loss: 150.706
-12800/69092 Loss: 152.045
-16000/69092 Loss: 152.562
-19200/69092 Loss: 150.442
-22400/69092 Loss: 153.113
-25600/69092 Loss: 153.983
-28800/69092 Loss: 152.689
-32000/69092 Loss: 151.500
-35200/69092 Loss: 154.215
-38400/69092 Loss: 151.321
-41600/69092 Loss: 151.483
-44800/69092 Loss: 153.338
-48000/69092 Loss: 151.855
-51200/69092 Loss: 155.090
-54400/69092 Loss: 152.879
-57600/69092 Loss: 152.352
-60800/69092 Loss: 153.363
-64000/69092 Loss: 152.709
-67200/69092 Loss: 152.203
-Training time 0:05:14.910973
-Epoch: 98 Average loss: 152.39
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 99)
-0/69092 Loss: 142.389
-3200/69092 Loss: 151.556
-6400/69092 Loss: 150.432
-9600/69092 Loss: 152.263
-12800/69092 Loss: 152.895
-16000/69092 Loss: 153.922
-19200/69092 Loss: 152.318
-22400/69092 Loss: 151.243
-25600/69092 Loss: 155.285
-28800/69092 Loss: 153.173
-32000/69092 Loss: 153.491
-35200/69092 Loss: 152.379
-38400/69092 Loss: 153.217
-41600/69092 Loss: 153.880
-44800/69092 Loss: 152.068
-48000/69092 Loss: 150.619
-51200/69092 Loss: 152.586
-54400/69092 Loss: 151.715
-57600/69092 Loss: 151.369
-60800/69092 Loss: 152.483
-64000/69092 Loss: 151.930
-67200/69092 Loss: 153.290
-Training time 0:05:17.595488
-Epoch: 99 Average loss: 152.51
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 100)
-0/69092 Loss: 158.684
-3200/69092 Loss: 153.906
-6400/69092 Loss: 153.327
-9600/69092 Loss: 151.818
-12800/69092 Loss: 155.821
-16000/69092 Loss: 152.444
-19200/69092 Loss: 152.891
-22400/69092 Loss: 149.164
-25600/69092 Loss: 152.786
-28800/69092 Loss: 149.422
-32000/69092 Loss: 150.534
-35200/69092 Loss: 151.991
-38400/69092 Loss: 152.149
-41600/69092 Loss: 152.764
-44800/69092 Loss: 153.696
-48000/69092 Loss: 153.265
-51200/69092 Loss: 153.180
-54400/69092 Loss: 150.813
-57600/69092 Loss: 155.719
-60800/69092 Loss: 153.404
-64000/69092 Loss: 151.654
-67200/69092 Loss: 151.188
-Training time 0:05:03.418084
-Epoch: 100 Average loss: 152.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 101)
-0/69092 Loss: 167.760
-3200/69092 Loss: 152.876
-6400/69092 Loss: 153.562
-9600/69092 Loss: 152.892
-12800/69092 Loss: 151.356
-16000/69092 Loss: 152.326
-19200/69092 Loss: 152.955
-22400/69092 Loss: 150.492
-25600/69092 Loss: 153.585
-28800/69092 Loss: 152.329
-32000/69092 Loss: 151.782
-35200/69092 Loss: 152.113
-38400/69092 Loss: 149.783
-41600/69092 Loss: 152.142
-44800/69092 Loss: 151.179
-48000/69092 Loss: 151.627
-51200/69092 Loss: 155.051
-54400/69092 Loss: 152.449
-57600/69092 Loss: 154.746
-60800/69092 Loss: 153.757
-64000/69092 Loss: 149.538
-67200/69092 Loss: 152.841
-Training time 0:04:51.914784
-Epoch: 101 Average loss: 152.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 102)
-0/69092 Loss: 137.340
-3200/69092 Loss: 153.577
-6400/69092 Loss: 150.329
-9600/69092 Loss: 154.083
-12800/69092 Loss: 151.225
-16000/69092 Loss: 150.840
-19200/69092 Loss: 154.126
-22400/69092 Loss: 153.644
-25600/69092 Loss: 151.214
-28800/69092 Loss: 148.798
-32000/69092 Loss: 152.823
-35200/69092 Loss: 149.150
-38400/69092 Loss: 152.960
-41600/69092 Loss: 151.685
-44800/69092 Loss: 150.527
-48000/69092 Loss: 152.596
-51200/69092 Loss: 154.297
-54400/69092 Loss: 151.212
-57600/69092 Loss: 155.284
-60800/69092 Loss: 155.288
-64000/69092 Loss: 151.360
-67200/69092 Loss: 153.971
-Training time 0:05:01.022271
-Epoch: 102 Average loss: 152.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 103)
-0/69092 Loss: 153.573
-3200/69092 Loss: 155.110
-6400/69092 Loss: 151.305
-9600/69092 Loss: 153.206
-12800/69092 Loss: 152.802
-16000/69092 Loss: 149.800
-19200/69092 Loss: 150.971
-22400/69092 Loss: 151.738
-25600/69092 Loss: 151.675
-28800/69092 Loss: 152.290
-32000/69092 Loss: 154.392
-35200/69092 Loss: 154.004
-38400/69092 Loss: 152.356
-41600/69092 Loss: 152.916
-44800/69092 Loss: 152.282
-48000/69092 Loss: 149.664
-51200/69092 Loss: 154.644
-54400/69092 Loss: 152.245
-57600/69092 Loss: 151.714
-60800/69092 Loss: 151.316
-64000/69092 Loss: 152.527
-67200/69092 Loss: 152.642
-Training time 0:05:07.864949
-Epoch: 103 Average loss: 152.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 104)
-0/69092 Loss: 151.662
-3200/69092 Loss: 151.814
-6400/69092 Loss: 149.252
-9600/69092 Loss: 152.869
-12800/69092 Loss: 151.850
-16000/69092 Loss: 151.858
-19200/69092 Loss: 153.972
-22400/69092 Loss: 152.033
-25600/69092 Loss: 150.453
-28800/69092 Loss: 152.936
-32000/69092 Loss: 151.613
-35200/69092 Loss: 152.562
-38400/69092 Loss: 152.823
-41600/69092 Loss: 153.282
-44800/69092 Loss: 150.677
-48000/69092 Loss: 151.082
-51200/69092 Loss: 153.963
-54400/69092 Loss: 150.317
-57600/69092 Loss: 151.814
-60800/69092 Loss: 152.419
-64000/69092 Loss: 151.160
-67200/69092 Loss: 151.677
-Training time 0:05:03.611881
-Epoch: 104 Average loss: 152.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 105)
-0/69092 Loss: 161.888
-3200/69092 Loss: 151.001
-6400/69092 Loss: 153.504
-9600/69092 Loss: 153.895
-12800/69092 Loss: 150.216
-16000/69092 Loss: 151.263
-19200/69092 Loss: 152.214
-22400/69092 Loss: 153.599
-25600/69092 Loss: 150.967
-28800/69092 Loss: 151.131
-32000/69092 Loss: 151.013
-35200/69092 Loss: 151.392
-38400/69092 Loss: 153.402
-41600/69092 Loss: 154.157
-44800/69092 Loss: 150.464
-48000/69092 Loss: 152.472
-51200/69092 Loss: 153.008
-54400/69092 Loss: 152.619
-57600/69092 Loss: 151.042
-60800/69092 Loss: 152.681
-64000/69092 Loss: 152.854
-67200/69092 Loss: 150.712
-Training time 0:05:04.874558
-Epoch: 105 Average loss: 152.17
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 106)
-0/69092 Loss: 163.787
-3200/69092 Loss: 153.259
-6400/69092 Loss: 153.108
-9600/69092 Loss: 153.607
-12800/69092 Loss: 152.003
-16000/69092 Loss: 155.934
-19200/69092 Loss: 150.254
-22400/69092 Loss: 152.237
-25600/69092 Loss: 154.861
-28800/69092 Loss: 149.868
-32000/69092 Loss: 151.238
-35200/69092 Loss: 150.747
-38400/69092 Loss: 153.263
-41600/69092 Loss: 153.709
-44800/69092 Loss: 151.564
-48000/69092 Loss: 152.925
-51200/69092 Loss: 150.700
-54400/69092 Loss: 151.824
-57600/69092 Loss: 151.186
-60800/69092 Loss: 151.589
-64000/69092 Loss: 151.741
-67200/69092 Loss: 153.103
-Training time 0:05:04.314858
-Epoch: 106 Average loss: 152.27
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 107)
-0/69092 Loss: 150.281
-3200/69092 Loss: 153.516
-6400/69092 Loss: 150.627
-9600/69092 Loss: 150.680
-12800/69092 Loss: 150.820
-16000/69092 Loss: 154.541
-19200/69092 Loss: 151.983
-22400/69092 Loss: 150.967
-25600/69092 Loss: 153.063
-28800/69092 Loss: 152.155
-32000/69092 Loss: 152.521
-35200/69092 Loss: 150.335
-38400/69092 Loss: 154.174
-41600/69092 Loss: 150.998
-44800/69092 Loss: 153.771
-48000/69092 Loss: 151.923
-51200/69092 Loss: 152.697
-54400/69092 Loss: 152.294
-57600/69092 Loss: 152.125
-60800/69092 Loss: 150.568
-64000/69092 Loss: 150.760
-67200/69092 Loss: 152.534
-Training time 0:05:02.166449
-Epoch: 107 Average loss: 152.03
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 108)
-0/69092 Loss: 162.576
-3200/69092 Loss: 152.626
-6400/69092 Loss: 151.675
-9600/69092 Loss: 149.449
-12800/69092 Loss: 153.519
-16000/69092 Loss: 153.674
-19200/69092 Loss: 151.671
-22400/69092 Loss: 151.299
-25600/69092 Loss: 151.974
-28800/69092 Loss: 151.358
-32000/69092 Loss: 150.880
-35200/69092 Loss: 152.578
-38400/69092 Loss: 151.399
-41600/69092 Loss: 153.304
-44800/69092 Loss: 151.126
-48000/69092 Loss: 153.111
-51200/69092 Loss: 151.278
-54400/69092 Loss: 153.105
-57600/69092 Loss: 152.167
-60800/69092 Loss: 151.647
-64000/69092 Loss: 151.658
-67200/69092 Loss: 153.319
-Training time 0:05:03.899225
-Epoch: 108 Average loss: 152.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 109)
-0/69092 Loss: 162.644
-3200/69092 Loss: 151.071
-6400/69092 Loss: 151.951
-9600/69092 Loss: 150.950
-12800/69092 Loss: 153.295
-16000/69092 Loss: 151.607
-19200/69092 Loss: 155.580
-22400/69092 Loss: 149.835
-25600/69092 Loss: 152.906
-28800/69092 Loss: 151.171
-32000/69092 Loss: 150.889
-35200/69092 Loss: 150.368
-38400/69092 Loss: 151.140
-41600/69092 Loss: 155.550
-44800/69092 Loss: 154.019
-48000/69092 Loss: 153.075
-51200/69092 Loss: 152.970
-54400/69092 Loss: 152.861
-57600/69092 Loss: 152.184
-60800/69092 Loss: 152.178
-64000/69092 Loss: 151.419
-67200/69092 Loss: 150.563
-Training time 0:05:02.399302
-Epoch: 109 Average loss: 152.25
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 110)
-0/69092 Loss: 154.988
-3200/69092 Loss: 153.248
-6400/69092 Loss: 151.155
-9600/69092 Loss: 152.526
-12800/69092 Loss: 151.358
-16000/69092 Loss: 150.776
-19200/69092 Loss: 151.902
-22400/69092 Loss: 152.815
-25600/69092 Loss: 150.157
-28800/69092 Loss: 152.073
-32000/69092 Loss: 152.516
-35200/69092 Loss: 151.435
-38400/69092 Loss: 150.491
-41600/69092 Loss: 153.070
-44800/69092 Loss: 153.470
-48000/69092 Loss: 152.637
-51200/69092 Loss: 154.199
-54400/69092 Loss: 151.909
-57600/69092 Loss: 152.136
-60800/69092 Loss: 152.336
-64000/69092 Loss: 152.451
-67200/69092 Loss: 153.406
-Training time 0:05:05.714831
-Epoch: 110 Average loss: 152.22
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 111)
-0/69092 Loss: 162.069
-3200/69092 Loss: 151.802
-6400/69092 Loss: 153.021
-9600/69092 Loss: 152.369
-12800/69092 Loss: 152.280
-16000/69092 Loss: 151.387
-19200/69092 Loss: 152.338
-22400/69092 Loss: 155.283
-25600/69092 Loss: 151.629
-28800/69092 Loss: 152.203
-32000/69092 Loss: 152.868
-35200/69092 Loss: 150.479
-38400/69092 Loss: 152.421
-41600/69092 Loss: 151.306
-44800/69092 Loss: 152.975
-48000/69092 Loss: 152.016
-51200/69092 Loss: 151.654
-54400/69092 Loss: 152.664
-57600/69092 Loss: 151.651
-60800/69092 Loss: 152.255
-64000/69092 Loss: 149.480
-67200/69092 Loss: 152.793
-Training time 0:05:02.300465
-Epoch: 111 Average loss: 152.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 112)
-0/69092 Loss: 156.487
-3200/69092 Loss: 151.962
-6400/69092 Loss: 151.294
-9600/69092 Loss: 152.823
-12800/69092 Loss: 153.223
-16000/69092 Loss: 154.456
-19200/69092 Loss: 153.151
-22400/69092 Loss: 153.360
-25600/69092 Loss: 151.618
-28800/69092 Loss: 153.194
-32000/69092 Loss: 150.388
-35200/69092 Loss: 150.987
-38400/69092 Loss: 154.060
-41600/69092 Loss: 153.648
-44800/69092 Loss: 151.719
-48000/69092 Loss: 150.867
-51200/69092 Loss: 151.067
-54400/69092 Loss: 151.764
-57600/69092 Loss: 150.370
-60800/69092 Loss: 150.257
-64000/69092 Loss: 152.464
-67200/69092 Loss: 151.794
-Training time 0:05:02.461204
-Epoch: 112 Average loss: 152.09
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 113)
-0/69092 Loss: 134.647
-3200/69092 Loss: 152.720
-6400/69092 Loss: 151.996
-9600/69092 Loss: 151.881
-12800/69092 Loss: 150.558
-16000/69092 Loss: 151.079
-19200/69092 Loss: 152.303
-22400/69092 Loss: 152.675
-25600/69092 Loss: 151.991
-28800/69092 Loss: 151.762
-32000/69092 Loss: 153.496
-35200/69092 Loss: 153.372
-38400/69092 Loss: 151.300
-41600/69092 Loss: 154.439
-44800/69092 Loss: 151.378
-48000/69092 Loss: 149.762
-51200/69092 Loss: 153.833
-54400/69092 Loss: 154.696
-57600/69092 Loss: 150.390
-60800/69092 Loss: 153.278
-64000/69092 Loss: 153.532
-67200/69092 Loss: 150.833
-Training time 0:05:00.977990
-Epoch: 113 Average loss: 152.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 114)
-0/69092 Loss: 147.473
-3200/69092 Loss: 151.169
-6400/69092 Loss: 152.872
-9600/69092 Loss: 151.215
-12800/69092 Loss: 152.837
-16000/69092 Loss: 152.389
-19200/69092 Loss: 153.817
-22400/69092 Loss: 150.561
-25600/69092 Loss: 150.609
-28800/69092 Loss: 151.353
-32000/69092 Loss: 155.208
-35200/69092 Loss: 149.628
-38400/69092 Loss: 152.854
-41600/69092 Loss: 149.109
-44800/69092 Loss: 151.593
-48000/69092 Loss: 148.380
-51200/69092 Loss: 155.033
-54400/69092 Loss: 154.760
-57600/69092 Loss: 153.577
-60800/69092 Loss: 150.653
-64000/69092 Loss: 151.115
-67200/69092 Loss: 152.697
-Training time 0:05:02.626567
-Epoch: 114 Average loss: 152.00
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 115)
-0/69092 Loss: 166.235
-3200/69092 Loss: 151.045
-6400/69092 Loss: 151.566
-9600/69092 Loss: 153.103
-12800/69092 Loss: 150.612
-16000/69092 Loss: 152.364
-19200/69092 Loss: 153.273
-22400/69092 Loss: 149.959
-25600/69092 Loss: 150.041
-28800/69092 Loss: 152.056
-32000/69092 Loss: 151.269
-35200/69092 Loss: 151.116
-38400/69092 Loss: 153.598
-41600/69092 Loss: 154.428
-44800/69092 Loss: 151.714
-48000/69092 Loss: 154.260
-51200/69092 Loss: 152.895
-54400/69092 Loss: 149.122
-57600/69092 Loss: 149.939
-60800/69092 Loss: 152.893
-64000/69092 Loss: 151.964
-67200/69092 Loss: 153.125
-Training time 0:05:02.931710
-Epoch: 115 Average loss: 151.91
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 116)
-0/69092 Loss: 153.137
-3200/69092 Loss: 154.553
-6400/69092 Loss: 150.445
-9600/69092 Loss: 150.450
-12800/69092 Loss: 152.588
-16000/69092 Loss: 151.747
-19200/69092 Loss: 151.415
-22400/69092 Loss: 151.264
-25600/69092 Loss: 151.927
-28800/69092 Loss: 151.327
-32000/69092 Loss: 152.850
-35200/69092 Loss: 152.286
-38400/69092 Loss: 151.161
-41600/69092 Loss: 152.494
-44800/69092 Loss: 152.301
-48000/69092 Loss: 155.223
-51200/69092 Loss: 154.050
-54400/69092 Loss: 152.871
-57600/69092 Loss: 151.519
-60800/69092 Loss: 152.448
-64000/69092 Loss: 147.826
-67200/69092 Loss: 150.735
-Training time 0:05:03.193442
-Epoch: 116 Average loss: 152.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 117)
-0/69092 Loss: 157.562
-3200/69092 Loss: 152.486
-6400/69092 Loss: 150.864
-9600/69092 Loss: 152.991
-12800/69092 Loss: 150.016
-16000/69092 Loss: 149.548
-19200/69092 Loss: 150.238
-22400/69092 Loss: 153.190
-25600/69092 Loss: 151.756
-28800/69092 Loss: 153.476
-32000/69092 Loss: 151.726
-35200/69092 Loss: 152.100
-38400/69092 Loss: 153.736
-41600/69092 Loss: 151.745
-44800/69092 Loss: 151.568
-48000/69092 Loss: 153.706
-51200/69092 Loss: 151.723
-54400/69092 Loss: 152.113
-57600/69092 Loss: 155.143
-60800/69092 Loss: 153.267
-64000/69092 Loss: 152.065
-67200/69092 Loss: 150.600
-Training time 0:05:04.841105
-Epoch: 117 Average loss: 152.11
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 118)
-0/69092 Loss: 155.602
-3200/69092 Loss: 153.534
-6400/69092 Loss: 152.894
-9600/69092 Loss: 153.559
-12800/69092 Loss: 150.108
-16000/69092 Loss: 153.907
-19200/69092 Loss: 151.515
-22400/69092 Loss: 150.308
-25600/69092 Loss: 153.708
-28800/69092 Loss: 153.366
-32000/69092 Loss: 149.893
-35200/69092 Loss: 149.675
-38400/69092 Loss: 150.179
-41600/69092 Loss: 150.500
-44800/69092 Loss: 152.019
-48000/69092 Loss: 151.848
-51200/69092 Loss: 150.390
-54400/69092 Loss: 152.176
-57600/69092 Loss: 151.036
-60800/69092 Loss: 151.798
-64000/69092 Loss: 154.119
-67200/69092 Loss: 152.002
-Training time 0:05:10.346446
-Epoch: 118 Average loss: 151.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_15/checkpoints/last' (iter 119)
-0/69092 Loss: 164.591
-3200/69092 Loss: 152.554
-6400/69092 Loss: 152.542
-9600/69092 Loss: 152.283
diff --git a/OAR.2068289.stderr b/OAR.2068289.stderr
deleted file mode 100644
index 62059a6fde..0000000000
--- a/OAR.2068289.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 02:59:26] Job 2068289 KILLED ##
diff --git a/OAR.2068289.stdout b/OAR.2068289.stdout
deleted file mode 100644
index 0105d9f495..0000000000
--- a/OAR.2068289.stdout
+++ /dev/null
@@ -1,3003 +0,0 @@
-Namespace(batch_size=64, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_64_ls_20', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=20, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/beta_VAE_bs_64_ls_20
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=40, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=20, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 773035
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last (iter 2)'
-0/69092 Loss: 430.567
-3200/69092 Loss: 451.552
-6400/69092 Loss: 438.499
-9600/69092 Loss: 445.077
-12800/69092 Loss: 447.616
-16000/69092 Loss: 435.337
-19200/69092 Loss: 450.837
-22400/69092 Loss: 439.799
-25600/69092 Loss: 439.213
-28800/69092 Loss: 437.965
-32000/69092 Loss: 435.058
-35200/69092 Loss: 438.174
-38400/69092 Loss: 448.690
-41600/69092 Loss: 431.653
-44800/69092 Loss: 438.952
-48000/69092 Loss: 436.764
-51200/69092 Loss: 431.678
-54400/69092 Loss: 432.029
-57600/69092 Loss: 452.793
-60800/69092 Loss: 435.165
-64000/69092 Loss: 444.115
-67200/69092 Loss: 441.251
-Training time 0:05:05.893259
-Epoch: 1 Average loss: 440.31
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 3)
-0/69092 Loss: 444.272
-3200/69092 Loss: 445.115
-6400/69092 Loss: 441.781
-9600/69092 Loss: 446.416
-12800/69092 Loss: 442.182
-16000/69092 Loss: 433.913
-19200/69092 Loss: 437.256
-22400/69092 Loss: 441.802
-25600/69092 Loss: 431.982
-28800/69092 Loss: 439.460
-32000/69092 Loss: 438.135
-35200/69092 Loss: 439.063
-38400/69092 Loss: 448.086
-41600/69092 Loss: 440.595
-44800/69092 Loss: 437.003
-48000/69092 Loss: 433.917
-51200/69092 Loss: 447.033
-54400/69092 Loss: 440.830
-57600/69092 Loss: 435.229
-60800/69092 Loss: 439.483
-64000/69092 Loss: 440.454
-67200/69092 Loss: 448.095
-Training time 0:05:03.050238
-Epoch: 2 Average loss: 440.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 4)
-0/69092 Loss: 462.525
-3200/69092 Loss: 433.152
-6400/69092 Loss: 434.208
-9600/69092 Loss: 441.110
-12800/69092 Loss: 444.663
-16000/69092 Loss: 446.222
-19200/69092 Loss: 432.492
-22400/69092 Loss: 441.121
-25600/69092 Loss: 441.951
-28800/69092 Loss: 437.930
-32000/69092 Loss: 433.192
-35200/69092 Loss: 446.659
-38400/69092 Loss: 444.017
-41600/69092 Loss: 449.571
-44800/69092 Loss: 439.392
-48000/69092 Loss: 438.912
-51200/69092 Loss: 449.640
-54400/69092 Loss: 437.776
-57600/69092 Loss: 426.500
-60800/69092 Loss: 443.331
-64000/69092 Loss: 443.030
-67200/69092 Loss: 441.288
-Training time 0:05:11.274975
-Epoch: 3 Average loss: 440.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 5)
-0/69092 Loss: 447.306
-3200/69092 Loss: 443.481
-6400/69092 Loss: 446.084
-9600/69092 Loss: 434.249
-12800/69092 Loss: 433.784
-16000/69092 Loss: 445.353
-19200/69092 Loss: 441.356
-22400/69092 Loss: 443.973
-25600/69092 Loss: 439.298
-28800/69092 Loss: 439.510
-32000/69092 Loss: 440.013
-35200/69092 Loss: 443.306
-38400/69092 Loss: 435.255
-41600/69092 Loss: 442.483
-44800/69092 Loss: 445.100
-48000/69092 Loss: 439.007
-51200/69092 Loss: 427.231
-54400/69092 Loss: 436.510
-57600/69092 Loss: 436.720
-60800/69092 Loss: 450.904
-64000/69092 Loss: 439.393
-67200/69092 Loss: 442.527
-Training time 0:05:06.700535
-Epoch: 4 Average loss: 440.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 6)
-0/69092 Loss: 418.644
-3200/69092 Loss: 438.218
-6400/69092 Loss: 450.252
-9600/69092 Loss: 439.158
-12800/69092 Loss: 441.716
-16000/69092 Loss: 447.580
-19200/69092 Loss: 445.912
-22400/69092 Loss: 438.749
-25600/69092 Loss: 436.598
-28800/69092 Loss: 437.339
-32000/69092 Loss: 433.433
-35200/69092 Loss: 431.786
-38400/69092 Loss: 448.120
-41600/69092 Loss: 435.548
-44800/69092 Loss: 445.933
-48000/69092 Loss: 441.889
-51200/69092 Loss: 442.513
-54400/69092 Loss: 435.773
-57600/69092 Loss: 430.723
-60800/69092 Loss: 443.641
-64000/69092 Loss: 438.866
-67200/69092 Loss: 442.804
-Training time 0:05:05.878531
-Epoch: 5 Average loss: 440.27
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 7)
-0/69092 Loss: 501.531
-3200/69092 Loss: 436.080
-6400/69092 Loss: 430.934
-9600/69092 Loss: 440.531
-12800/69092 Loss: 443.256
-16000/69092 Loss: 443.942
-19200/69092 Loss: 439.735
-22400/69092 Loss: 441.888
-25600/69092 Loss: 443.789
-28800/69092 Loss: 443.138
-32000/69092 Loss: 282.311
-35200/69092 Loss: 222.722
-38400/69092 Loss: 224.461
-41600/69092 Loss: 216.463
-44800/69092 Loss: 216.539
-48000/69092 Loss: 205.753
-51200/69092 Loss: 198.170
-54400/69092 Loss: 199.128
-57600/69092 Loss: 195.972
-60800/69092 Loss: 191.918
-64000/69092 Loss: 192.646
-67200/69092 Loss: 189.203
-Training time 0:04:56.607394
-Epoch: 6 Average loss: 306.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 8)
-0/69092 Loss: 193.317
-3200/69092 Loss: 190.651
-6400/69092 Loss: 188.764
-9600/69092 Loss: 188.883
-12800/69092 Loss: 189.042
-16000/69092 Loss: 184.939
-19200/69092 Loss: 187.289
-22400/69092 Loss: 186.018
-25600/69092 Loss: 188.386
-28800/69092 Loss: 185.676
-32000/69092 Loss: 188.149
-35200/69092 Loss: 183.489
-38400/69092 Loss: 182.190
-41600/69092 Loss: 180.228
-44800/69092 Loss: 179.100
-48000/69092 Loss: 178.929
-51200/69092 Loss: 180.279
-54400/69092 Loss: 180.885
-57600/69092 Loss: 180.871
-60800/69092 Loss: 175.996
-64000/69092 Loss: 175.814
-67200/69092 Loss: 172.733
-Training time 0:05:01.248720
-Epoch: 7 Average loss: 183.06
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 9)
-0/69092 Loss: 175.976
-3200/69092 Loss: 175.519
-6400/69092 Loss: 172.875
-9600/69092 Loss: 168.530
-12800/69092 Loss: 174.181
-16000/69092 Loss: 174.451
-19200/69092 Loss: 173.476
-22400/69092 Loss: 177.952
-25600/69092 Loss: 173.038
-28800/69092 Loss: 173.493
-32000/69092 Loss: 169.433
-35200/69092 Loss: 175.888
-38400/69092 Loss: 172.573
-41600/69092 Loss: 171.296
-44800/69092 Loss: 173.126
-48000/69092 Loss: 170.911
-51200/69092 Loss: 172.181
-54400/69092 Loss: 176.282
-57600/69092 Loss: 171.192
-60800/69092 Loss: 171.903
-64000/69092 Loss: 172.167
-67200/69092 Loss: 170.300
-Training time 0:05:02.991306
-Epoch: 8 Average loss: 172.77
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 10)
-0/69092 Loss: 177.808
-3200/69092 Loss: 167.293
-6400/69092 Loss: 171.747
-9600/69092 Loss: 172.320
-12800/69092 Loss: 169.716
-16000/69092 Loss: 168.703
-19200/69092 Loss: 171.163
-22400/69092 Loss: 165.480
-25600/69092 Loss: 171.134
-28800/69092 Loss: 169.034
-32000/69092 Loss: 170.347
-35200/69092 Loss: 171.707
-38400/69092 Loss: 168.689
-41600/69092 Loss: 168.946
-44800/69092 Loss: 166.259
-48000/69092 Loss: 169.122
-51200/69092 Loss: 167.689
-54400/69092 Loss: 172.184
-57600/69092 Loss: 170.305
-60800/69092 Loss: 168.594
-64000/69092 Loss: 167.623
-67200/69092 Loss: 169.057
-Training time 0:04:59.365652
-Epoch: 9 Average loss: 169.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 11)
-0/69092 Loss: 170.726
-3200/69092 Loss: 169.164
-6400/69092 Loss: 168.319
-9600/69092 Loss: 165.079
-12800/69092 Loss: 167.098
-16000/69092 Loss: 164.978
-19200/69092 Loss: 170.563
-22400/69092 Loss: 167.007
-25600/69092 Loss: 167.459
-28800/69092 Loss: 170.687
-32000/69092 Loss: 165.900
-35200/69092 Loss: 166.946
-38400/69092 Loss: 164.479
-41600/69092 Loss: 169.314
-44800/69092 Loss: 165.872
-48000/69092 Loss: 165.364
-51200/69092 Loss: 163.238
-54400/69092 Loss: 165.130
-57600/69092 Loss: 166.742
-60800/69092 Loss: 167.505
-64000/69092 Loss: 168.180
-67200/69092 Loss: 167.454
-Training time 0:05:00.056367
-Epoch: 10 Average loss: 166.94
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 12)
-0/69092 Loss: 165.274
-3200/69092 Loss: 164.180
-6400/69092 Loss: 165.239
-9600/69092 Loss: 168.142
-12800/69092 Loss: 168.498
-16000/69092 Loss: 167.716
-19200/69092 Loss: 163.388
-22400/69092 Loss: 165.186
-25600/69092 Loss: 170.132
-28800/69092 Loss: 165.804
-32000/69092 Loss: 164.222
-35200/69092 Loss: 167.129
-38400/69092 Loss: 165.750
-41600/69092 Loss: 163.277
-44800/69092 Loss: 162.054
-48000/69092 Loss: 163.924
-51200/69092 Loss: 163.566
-54400/69092 Loss: 164.816
-57600/69092 Loss: 161.576
-60800/69092 Loss: 164.528
-64000/69092 Loss: 165.856
-67200/69092 Loss: 165.561
-Training time 0:05:06.804340
-Epoch: 11 Average loss: 165.17
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 13)
-0/69092 Loss: 183.655
-3200/69092 Loss: 162.179
-6400/69092 Loss: 166.925
-9600/69092 Loss: 163.074
-12800/69092 Loss: 161.481
-16000/69092 Loss: 165.606
-19200/69092 Loss: 163.444
-22400/69092 Loss: 162.572
-25600/69092 Loss: 166.145
-28800/69092 Loss: 164.023
-32000/69092 Loss: 163.924
-35200/69092 Loss: 163.503
-38400/69092 Loss: 162.495
-41600/69092 Loss: 165.627
-44800/69092 Loss: 162.917
-48000/69092 Loss: 162.868
-51200/69092 Loss: 160.486
-54400/69092 Loss: 162.442
-57600/69092 Loss: 159.867
-60800/69092 Loss: 160.743
-64000/69092 Loss: 167.472
-67200/69092 Loss: 162.736
-Training time 0:04:58.903187
-Epoch: 12 Average loss: 163.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 14)
-0/69092 Loss: 146.602
-3200/69092 Loss: 164.487
-6400/69092 Loss: 160.674
-9600/69092 Loss: 166.910
-12800/69092 Loss: 162.449
-16000/69092 Loss: 159.800
-19200/69092 Loss: 162.522
-22400/69092 Loss: 161.967
-25600/69092 Loss: 160.885
-28800/69092 Loss: 160.508
-32000/69092 Loss: 162.803
-35200/69092 Loss: 162.870
-38400/69092 Loss: 162.641
-41600/69092 Loss: 164.704
-44800/69092 Loss: 161.753
-48000/69092 Loss: 161.745
-51200/69092 Loss: 163.318
-54400/69092 Loss: 159.323
-57600/69092 Loss: 163.804
-60800/69092 Loss: 164.845
-64000/69092 Loss: 163.711
-67200/69092 Loss: 162.224
-Training time 0:04:59.047005
-Epoch: 13 Average loss: 162.60
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 15)
-0/69092 Loss: 180.344
-3200/69092 Loss: 162.784
-6400/69092 Loss: 164.695
-9600/69092 Loss: 163.425
-12800/69092 Loss: 162.526
-16000/69092 Loss: 162.231
-19200/69092 Loss: 158.073
-22400/69092 Loss: 164.558
-25600/69092 Loss: 162.173
-28800/69092 Loss: 162.845
-32000/69092 Loss: 160.427
-35200/69092 Loss: 160.872
-38400/69092 Loss: 161.094
-41600/69092 Loss: 159.888
-44800/69092 Loss: 159.363
-48000/69092 Loss: 162.448
-51200/69092 Loss: 159.365
-54400/69092 Loss: 162.186
-57600/69092 Loss: 162.648
-60800/69092 Loss: 161.662
-64000/69092 Loss: 158.286
-67200/69092 Loss: 161.052
-Training time 0:05:00.164209
-Epoch: 14 Average loss: 161.58
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 16)
-0/69092 Loss: 199.840
-3200/69092 Loss: 163.063
-6400/69092 Loss: 160.443
-9600/69092 Loss: 160.690
-12800/69092 Loss: 160.661
-16000/69092 Loss: 161.505
-19200/69092 Loss: 162.851
-22400/69092 Loss: 163.128
-25600/69092 Loss: 164.712
-28800/69092 Loss: 160.490
-32000/69092 Loss: 161.206
-35200/69092 Loss: 164.118
-38400/69092 Loss: 162.320
-41600/69092 Loss: 161.073
-44800/69092 Loss: 162.087
-48000/69092 Loss: 156.887
-51200/69092 Loss: 161.298
-54400/69092 Loss: 162.237
-57600/69092 Loss: 159.090
-60800/69092 Loss: 157.578
-64000/69092 Loss: 160.340
-67200/69092 Loss: 160.287
-Training time 0:04:58.618335
-Epoch: 15 Average loss: 161.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 17)
-0/69092 Loss: 179.801
-3200/69092 Loss: 159.282
-6400/69092 Loss: 162.081
-9600/69092 Loss: 162.562
-12800/69092 Loss: 161.926
-16000/69092 Loss: 158.826
-19200/69092 Loss: 160.103
-22400/69092 Loss: 158.152
-25600/69092 Loss: 163.123
-28800/69092 Loss: 161.471
-32000/69092 Loss: 159.271
-35200/69092 Loss: 160.391
-38400/69092 Loss: 163.551
-41600/69092 Loss: 161.165
-44800/69092 Loss: 160.229
-48000/69092 Loss: 160.965
-51200/69092 Loss: 158.097
-54400/69092 Loss: 160.917
-57600/69092 Loss: 159.306
-60800/69092 Loss: 160.436
-64000/69092 Loss: 161.442
-67200/69092 Loss: 161.968
-Training time 0:04:57.306732
-Epoch: 16 Average loss: 160.80
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 18)
-0/69092 Loss: 149.385
-3200/69092 Loss: 159.807
-6400/69092 Loss: 161.194
-9600/69092 Loss: 161.355
-12800/69092 Loss: 160.187
-16000/69092 Loss: 162.113
-19200/69092 Loss: 157.555
-22400/69092 Loss: 162.597
-25600/69092 Loss: 159.544
-28800/69092 Loss: 160.797
-32000/69092 Loss: 159.622
-35200/69092 Loss: 158.874
-38400/69092 Loss: 159.822
-41600/69092 Loss: 158.641
-44800/69092 Loss: 158.873
-48000/69092 Loss: 158.707
-51200/69092 Loss: 162.068
-54400/69092 Loss: 163.116
-57600/69092 Loss: 160.427
-60800/69092 Loss: 160.234
-64000/69092 Loss: 159.714
-67200/69092 Loss: 162.192
-Training time 0:05:10.648769
-Epoch: 17 Average loss: 160.37
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 19)
-0/69092 Loss: 172.314
-3200/69092 Loss: 159.519
-6400/69092 Loss: 159.834
-9600/69092 Loss: 160.876
-12800/69092 Loss: 157.965
-16000/69092 Loss: 158.430
-19200/69092 Loss: 162.003
-22400/69092 Loss: 158.368
-25600/69092 Loss: 161.281
-28800/69092 Loss: 161.379
-32000/69092 Loss: 157.398
-35200/69092 Loss: 161.975
-38400/69092 Loss: 160.614
-41600/69092 Loss: 159.682
-44800/69092 Loss: 160.802
-48000/69092 Loss: 160.805
-51200/69092 Loss: 158.886
-54400/69092 Loss: 158.829
-57600/69092 Loss: 157.948
-60800/69092 Loss: 161.549
-64000/69092 Loss: 162.151
-67200/69092 Loss: 158.295
-Training time 0:05:12.274791
-Epoch: 18 Average loss: 159.96
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 20)
-0/69092 Loss: 131.326
-3200/69092 Loss: 159.722
-6400/69092 Loss: 161.068
-9600/69092 Loss: 162.357
-12800/69092 Loss: 158.572
-16000/69092 Loss: 156.072
-19200/69092 Loss: 159.042
-22400/69092 Loss: 160.605
-25600/69092 Loss: 160.488
-28800/69092 Loss: 157.250
-32000/69092 Loss: 157.668
-35200/69092 Loss: 159.510
-38400/69092 Loss: 160.301
-41600/69092 Loss: 157.766
-44800/69092 Loss: 163.092
-48000/69092 Loss: 160.065
-51200/69092 Loss: 159.585
-54400/69092 Loss: 160.448
-57600/69092 Loss: 160.693
-60800/69092 Loss: 155.794
-64000/69092 Loss: 159.446
-67200/69092 Loss: 160.260
-Training time 0:05:10.358980
-Epoch: 19 Average loss: 159.51
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 21)
-0/69092 Loss: 139.467
-3200/69092 Loss: 156.805
-6400/69092 Loss: 163.923
-9600/69092 Loss: 156.384
-12800/69092 Loss: 160.907
-16000/69092 Loss: 157.463
-19200/69092 Loss: 159.306
-22400/69092 Loss: 160.186
-25600/69092 Loss: 160.608
-28800/69092 Loss: 157.611
-32000/69092 Loss: 161.119
-35200/69092 Loss: 161.114
-38400/69092 Loss: 155.444
-41600/69092 Loss: 157.161
-44800/69092 Loss: 159.646
-48000/69092 Loss: 157.669
-51200/69092 Loss: 157.876
-54400/69092 Loss: 161.787
-57600/69092 Loss: 161.446
-60800/69092 Loss: 160.716
-64000/69092 Loss: 158.617
-67200/69092 Loss: 157.310
-Training time 0:05:18.605031
-Epoch: 20 Average loss: 159.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 22)
-0/69092 Loss: 162.804
-3200/69092 Loss: 157.607
-6400/69092 Loss: 158.703
-9600/69092 Loss: 159.519
-12800/69092 Loss: 156.560
-16000/69092 Loss: 157.732
-19200/69092 Loss: 157.927
-22400/69092 Loss: 157.652
-25600/69092 Loss: 160.784
-28800/69092 Loss: 158.147
-32000/69092 Loss: 160.244
-35200/69092 Loss: 158.372
-38400/69092 Loss: 160.944
-41600/69092 Loss: 158.488
-44800/69092 Loss: 159.586
-48000/69092 Loss: 158.742
-51200/69092 Loss: 162.743
-54400/69092 Loss: 161.818
-57600/69092 Loss: 160.912
-60800/69092 Loss: 157.601
-64000/69092 Loss: 156.800
-67200/69092 Loss: 158.901
-Training time 0:04:59.334097
-Epoch: 21 Average loss: 159.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 23)
-0/69092 Loss: 178.919
-3200/69092 Loss: 156.956
-6400/69092 Loss: 155.858
-9600/69092 Loss: 158.408
-12800/69092 Loss: 159.608
-16000/69092 Loss: 158.151
-19200/69092 Loss: 156.806
-22400/69092 Loss: 159.397
-25600/69092 Loss: 158.664
-28800/69092 Loss: 159.260
-32000/69092 Loss: 158.235
-35200/69092 Loss: 155.953
-38400/69092 Loss: 158.616
-41600/69092 Loss: 161.979
-44800/69092 Loss: 158.240
-48000/69092 Loss: 159.231
-51200/69092 Loss: 159.557
-54400/69092 Loss: 158.783
-57600/69092 Loss: 158.981
-60800/69092 Loss: 160.020
-64000/69092 Loss: 157.398
-67200/69092 Loss: 156.409
-Training time 0:05:06.096368
-Epoch: 22 Average loss: 158.52
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 24)
-0/69092 Loss: 198.471
-3200/69092 Loss: 159.577
-6400/69092 Loss: 157.152
-9600/69092 Loss: 159.531
-12800/69092 Loss: 156.278
-16000/69092 Loss: 157.974
-19200/69092 Loss: 159.375
-22400/69092 Loss: 159.431
-25600/69092 Loss: 155.183
-28800/69092 Loss: 159.021
-32000/69092 Loss: 156.130
-35200/69092 Loss: 158.486
-38400/69092 Loss: 159.190
-41600/69092 Loss: 161.333
-44800/69092 Loss: 156.929
-48000/69092 Loss: 157.362
-51200/69092 Loss: 159.342
-54400/69092 Loss: 159.642
-57600/69092 Loss: 158.222
-60800/69092 Loss: 157.330
-64000/69092 Loss: 159.937
-67200/69092 Loss: 157.708
-Training time 0:05:01.714042
-Epoch: 23 Average loss: 158.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 25)
-0/69092 Loss: 154.421
-3200/69092 Loss: 161.038
-6400/69092 Loss: 159.909
-9600/69092 Loss: 160.374
-12800/69092 Loss: 155.509
-16000/69092 Loss: 158.463
-19200/69092 Loss: 157.168
-22400/69092 Loss: 156.711
-25600/69092 Loss: 159.442
-28800/69092 Loss: 159.541
-32000/69092 Loss: 158.115
-35200/69092 Loss: 154.931
-38400/69092 Loss: 161.294
-41600/69092 Loss: 156.948
-44800/69092 Loss: 157.822
-48000/69092 Loss: 158.018
-51200/69092 Loss: 156.660
-54400/69092 Loss: 158.641
-57600/69092 Loss: 155.128
-60800/69092 Loss: 158.553
-64000/69092 Loss: 158.320
-67200/69092 Loss: 157.628
-Training time 0:05:02.542967
-Epoch: 24 Average loss: 158.14
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 26)
-0/69092 Loss: 145.903
-3200/69092 Loss: 155.523
-6400/69092 Loss: 158.970
-9600/69092 Loss: 158.780
-12800/69092 Loss: 157.718
-16000/69092 Loss: 155.180
-19200/69092 Loss: 161.513
-22400/69092 Loss: 160.515
-25600/69092 Loss: 157.197
-28800/69092 Loss: 159.840
-32000/69092 Loss: 160.121
-35200/69092 Loss: 156.714
-38400/69092 Loss: 158.600
-41600/69092 Loss: 155.920
-44800/69092 Loss: 155.065
-48000/69092 Loss: 159.233
-51200/69092 Loss: 156.716
-54400/69092 Loss: 158.423
-57600/69092 Loss: 158.802
-60800/69092 Loss: 157.774
-64000/69092 Loss: 156.853
-67200/69092 Loss: 156.542
-Training time 0:05:08.574867
-Epoch: 25 Average loss: 158.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 27)
-0/69092 Loss: 183.912
-3200/69092 Loss: 159.267
-6400/69092 Loss: 156.931
-9600/69092 Loss: 155.880
-12800/69092 Loss: 156.799
-16000/69092 Loss: 157.466
-19200/69092 Loss: 157.293
-22400/69092 Loss: 161.534
-25600/69092 Loss: 158.723
-28800/69092 Loss: 158.959
-32000/69092 Loss: 155.528
-35200/69092 Loss: 155.695
-38400/69092 Loss: 158.558
-41600/69092 Loss: 158.691
-44800/69092 Loss: 156.499
-48000/69092 Loss: 159.375
-51200/69092 Loss: 156.073
-54400/69092 Loss: 156.345
-57600/69092 Loss: 158.272
-60800/69092 Loss: 159.055
-64000/69092 Loss: 159.254
-67200/69092 Loss: 158.598
-Training time 0:05:01.677203
-Epoch: 26 Average loss: 157.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 28)
-0/69092 Loss: 158.319
-3200/69092 Loss: 155.226
-6400/69092 Loss: 159.075
-9600/69092 Loss: 158.067
-12800/69092 Loss: 158.444
-16000/69092 Loss: 157.934
-19200/69092 Loss: 158.273
-22400/69092 Loss: 158.384
-25600/69092 Loss: 156.721
-28800/69092 Loss: 157.274
-32000/69092 Loss: 160.808
-35200/69092 Loss: 158.591
-38400/69092 Loss: 159.001
-41600/69092 Loss: 158.926
-44800/69092 Loss: 155.346
-48000/69092 Loss: 157.825
-51200/69092 Loss: 154.177
-54400/69092 Loss: 157.157
-57600/69092 Loss: 155.185
-60800/69092 Loss: 157.648
-64000/69092 Loss: 156.520
-67200/69092 Loss: 157.222
-Training time 0:05:04.085619
-Epoch: 27 Average loss: 157.56
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 29)
-0/69092 Loss: 168.794
-3200/69092 Loss: 157.004
-6400/69092 Loss: 157.799
-9600/69092 Loss: 157.924
-12800/69092 Loss: 157.496
-16000/69092 Loss: 154.202
-19200/69092 Loss: 156.467
-22400/69092 Loss: 154.233
-25600/69092 Loss: 157.350
-28800/69092 Loss: 156.450
-32000/69092 Loss: 155.983
-35200/69092 Loss: 158.488
-38400/69092 Loss: 158.456
-41600/69092 Loss: 158.286
-44800/69092 Loss: 155.845
-48000/69092 Loss: 155.172
-51200/69092 Loss: 161.770
-54400/69092 Loss: 157.202
-57600/69092 Loss: 159.669
-60800/69092 Loss: 156.999
-64000/69092 Loss: 154.768
-67200/69092 Loss: 157.480
-Training time 0:05:02.893539
-Epoch: 28 Average loss: 157.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 30)
-0/69092 Loss: 173.289
-3200/69092 Loss: 157.316
-6400/69092 Loss: 158.827
-9600/69092 Loss: 155.158
-12800/69092 Loss: 157.116
-16000/69092 Loss: 158.760
-19200/69092 Loss: 157.836
-22400/69092 Loss: 156.273
-25600/69092 Loss: 158.301
-28800/69092 Loss: 156.450
-32000/69092 Loss: 158.055
-35200/69092 Loss: 157.311
-38400/69092 Loss: 156.183
-41600/69092 Loss: 157.349
-44800/69092 Loss: 152.971
-48000/69092 Loss: 159.318
-51200/69092 Loss: 157.521
-54400/69092 Loss: 154.562
-57600/69092 Loss: 156.533
-60800/69092 Loss: 158.231
-64000/69092 Loss: 156.484
-67200/69092 Loss: 157.459
-Training time 0:05:03.158730
-Epoch: 29 Average loss: 157.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 31)
-0/69092 Loss: 152.272
-3200/69092 Loss: 154.144
-6400/69092 Loss: 158.409
-9600/69092 Loss: 156.469
-12800/69092 Loss: 156.355
-16000/69092 Loss: 156.064
-19200/69092 Loss: 158.342
-22400/69092 Loss: 156.801
-25600/69092 Loss: 156.990
-28800/69092 Loss: 157.833
-32000/69092 Loss: 157.819
-35200/69092 Loss: 153.839
-38400/69092 Loss: 154.517
-41600/69092 Loss: 158.042
-44800/69092 Loss: 156.666
-48000/69092 Loss: 158.158
-51200/69092 Loss: 159.296
-54400/69092 Loss: 158.656
-57600/69092 Loss: 160.197
-60800/69092 Loss: 155.470
-64000/69092 Loss: 155.759
-67200/69092 Loss: 156.717
-Training time 0:05:02.535085
-Epoch: 30 Average loss: 157.06
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 32)
-0/69092 Loss: 159.900
-3200/69092 Loss: 155.428
-6400/69092 Loss: 156.153
-9600/69092 Loss: 158.252
-12800/69092 Loss: 154.153
-16000/69092 Loss: 155.715
-19200/69092 Loss: 156.701
-22400/69092 Loss: 157.210
-25600/69092 Loss: 155.482
-28800/69092 Loss: 155.486
-32000/69092 Loss: 159.990
-35200/69092 Loss: 159.849
-38400/69092 Loss: 159.775
-41600/69092 Loss: 157.037
-44800/69092 Loss: 153.946
-48000/69092 Loss: 156.716
-51200/69092 Loss: 158.174
-54400/69092 Loss: 159.367
-57600/69092 Loss: 156.563
-60800/69092 Loss: 158.856
-64000/69092 Loss: 158.591
-67200/69092 Loss: 155.222
-Training time 0:05:03.584235
-Epoch: 31 Average loss: 157.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 33)
-0/69092 Loss: 138.630
-3200/69092 Loss: 157.491
-6400/69092 Loss: 158.921
-9600/69092 Loss: 158.418
-12800/69092 Loss: 155.203
-16000/69092 Loss: 154.800
-19200/69092 Loss: 156.910
-22400/69092 Loss: 157.309
-25600/69092 Loss: 156.536
-28800/69092 Loss: 156.003
-32000/69092 Loss: 156.527
-35200/69092 Loss: 156.284
-38400/69092 Loss: 158.071
-41600/69092 Loss: 154.295
-44800/69092 Loss: 156.268
-48000/69092 Loss: 155.979
-51200/69092 Loss: 158.383
-54400/69092 Loss: 157.090
-57600/69092 Loss: 158.942
-60800/69092 Loss: 155.958
-64000/69092 Loss: 155.065
-67200/69092 Loss: 158.969
-Training time 0:05:00.048382
-Epoch: 32 Average loss: 156.80
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 34)
-0/69092 Loss: 154.280
-3200/69092 Loss: 156.005
-6400/69092 Loss: 157.047
-9600/69092 Loss: 155.668
-12800/69092 Loss: 156.591
-16000/69092 Loss: 157.436
-19200/69092 Loss: 157.341
-22400/69092 Loss: 157.175
-25600/69092 Loss: 158.463
-28800/69092 Loss: 157.588
-32000/69092 Loss: 158.312
-35200/69092 Loss: 157.513
-38400/69092 Loss: 159.358
-41600/69092 Loss: 155.965
-44800/69092 Loss: 156.304
-48000/69092 Loss: 154.301
-51200/69092 Loss: 155.460
-54400/69092 Loss: 157.155
-57600/69092 Loss: 155.685
-60800/69092 Loss: 153.439
-64000/69092 Loss: 156.254
-67200/69092 Loss: 156.532
-Training time 0:05:06.067095
-Epoch: 33 Average loss: 156.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 35)
-0/69092 Loss: 141.958
-3200/69092 Loss: 154.117
-6400/69092 Loss: 157.673
-9600/69092 Loss: 154.604
-12800/69092 Loss: 158.539
-16000/69092 Loss: 159.025
-19200/69092 Loss: 159.947
-22400/69092 Loss: 157.176
-25600/69092 Loss: 154.619
-28800/69092 Loss: 159.329
-32000/69092 Loss: 157.699
-35200/69092 Loss: 156.895
-38400/69092 Loss: 157.851
-41600/69092 Loss: 154.119
-44800/69092 Loss: 157.337
-48000/69092 Loss: 156.373
-51200/69092 Loss: 155.055
-54400/69092 Loss: 154.255
-57600/69092 Loss: 158.908
-60800/69092 Loss: 155.901
-64000/69092 Loss: 156.265
-67200/69092 Loss: 156.322
-Training time 0:05:02.584854
-Epoch: 34 Average loss: 156.75
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 36)
-0/69092 Loss: 141.024
-3200/69092 Loss: 157.381
-6400/69092 Loss: 154.569
-9600/69092 Loss: 156.749
-12800/69092 Loss: 156.400
-16000/69092 Loss: 156.175
-19200/69092 Loss: 154.078
-22400/69092 Loss: 158.045
-25600/69092 Loss: 158.648
-28800/69092 Loss: 156.584
-32000/69092 Loss: 157.413
-35200/69092 Loss: 155.964
-38400/69092 Loss: 158.223
-41600/69092 Loss: 156.824
-44800/69092 Loss: 154.100
-48000/69092 Loss: 157.217
-51200/69092 Loss: 157.154
-54400/69092 Loss: 155.985
-57600/69092 Loss: 154.258
-60800/69092 Loss: 158.663
-64000/69092 Loss: 153.862
-67200/69092 Loss: 156.158
-Training time 0:04:58.572646
-Epoch: 35 Average loss: 156.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 37)
-0/69092 Loss: 149.548
-3200/69092 Loss: 158.175
-6400/69092 Loss: 157.057
-9600/69092 Loss: 154.916
-12800/69092 Loss: 152.153
-16000/69092 Loss: 155.552
-19200/69092 Loss: 159.669
-22400/69092 Loss: 156.470
-25600/69092 Loss: 155.376
-28800/69092 Loss: 153.088
-32000/69092 Loss: 154.291
-35200/69092 Loss: 154.271
-38400/69092 Loss: 158.879
-41600/69092 Loss: 157.144
-44800/69092 Loss: 156.685
-48000/69092 Loss: 156.017
-51200/69092 Loss: 155.343
-54400/69092 Loss: 155.829
-57600/69092 Loss: 156.472
-60800/69092 Loss: 160.351
-64000/69092 Loss: 156.204
-67200/69092 Loss: 156.556
-Training time 0:04:58.032654
-Epoch: 36 Average loss: 156.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 38)
-0/69092 Loss: 166.897
-3200/69092 Loss: 157.064
-6400/69092 Loss: 156.608
-9600/69092 Loss: 155.527
-12800/69092 Loss: 155.202
-16000/69092 Loss: 157.688
-19200/69092 Loss: 155.319
-22400/69092 Loss: 155.936
-25600/69092 Loss: 153.880
-28800/69092 Loss: 155.470
-32000/69092 Loss: 156.070
-35200/69092 Loss: 155.959
-38400/69092 Loss: 157.210
-41600/69092 Loss: 152.925
-44800/69092 Loss: 156.254
-48000/69092 Loss: 156.256
-51200/69092 Loss: 156.374
-54400/69092 Loss: 156.948
-57600/69092 Loss: 155.010
-60800/69092 Loss: 157.953
-64000/69092 Loss: 155.792
-67200/69092 Loss: 157.263
-Training time 0:05:12.924819
-Epoch: 37 Average loss: 156.13
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 39)
-0/69092 Loss: 148.838
-3200/69092 Loss: 157.990
-6400/69092 Loss: 155.146
-9600/69092 Loss: 156.503
-12800/69092 Loss: 156.882
-16000/69092 Loss: 156.628
-19200/69092 Loss: 157.286
-22400/69092 Loss: 155.862
-25600/69092 Loss: 154.377
-28800/69092 Loss: 156.522
-32000/69092 Loss: 153.395
-35200/69092 Loss: 155.686
-38400/69092 Loss: 156.584
-41600/69092 Loss: 155.208
-44800/69092 Loss: 155.178
-48000/69092 Loss: 154.740
-51200/69092 Loss: 159.219
-54400/69092 Loss: 156.950
-57600/69092 Loss: 157.241
-60800/69092 Loss: 156.995
-64000/69092 Loss: 157.894
-67200/69092 Loss: 155.692
-Training time 0:04:54.323092
-Epoch: 38 Average loss: 156.24
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 40)
-0/69092 Loss: 147.868
-3200/69092 Loss: 157.768
-6400/69092 Loss: 155.189
-9600/69092 Loss: 158.650
-12800/69092 Loss: 157.251
-16000/69092 Loss: 156.936
-19200/69092 Loss: 155.778
-22400/69092 Loss: 154.944
-25600/69092 Loss: 153.205
-28800/69092 Loss: 157.779
-32000/69092 Loss: 154.850
-35200/69092 Loss: 158.655
-38400/69092 Loss: 154.072
-41600/69092 Loss: 154.439
-44800/69092 Loss: 157.815
-48000/69092 Loss: 154.913
-51200/69092 Loss: 154.039
-54400/69092 Loss: 156.694
-57600/69092 Loss: 156.639
-60800/69092 Loss: 156.112
-64000/69092 Loss: 152.171
-67200/69092 Loss: 156.980
-Training time 0:04:53.604248
-Epoch: 39 Average loss: 156.04
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 41)
-0/69092 Loss: 147.705
-3200/69092 Loss: 155.556
-6400/69092 Loss: 155.200
-9600/69092 Loss: 157.521
-12800/69092 Loss: 153.459
-16000/69092 Loss: 156.978
-19200/69092 Loss: 153.923
-22400/69092 Loss: 157.482
-25600/69092 Loss: 154.741
-28800/69092 Loss: 155.055
-32000/69092 Loss: 158.463
-35200/69092 Loss: 154.147
-38400/69092 Loss: 155.114
-41600/69092 Loss: 155.337
-44800/69092 Loss: 156.893
-48000/69092 Loss: 158.580
-51200/69092 Loss: 156.684
-54400/69092 Loss: 154.755
-57600/69092 Loss: 156.090
-60800/69092 Loss: 155.736
-64000/69092 Loss: 154.606
-67200/69092 Loss: 158.278
-Training time 0:05:13.506864
-Epoch: 40 Average loss: 155.94
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 42)
-0/69092 Loss: 160.277
-3200/69092 Loss: 156.898
-6400/69092 Loss: 154.616
-9600/69092 Loss: 156.852
-12800/69092 Loss: 151.225
-16000/69092 Loss: 157.091
-19200/69092 Loss: 159.233
-22400/69092 Loss: 155.176
-25600/69092 Loss: 157.237
-28800/69092 Loss: 156.804
-32000/69092 Loss: 156.285
-35200/69092 Loss: 154.726
-38400/69092 Loss: 155.144
-41600/69092 Loss: 156.868
-44800/69092 Loss: 156.826
-48000/69092 Loss: 156.344
-51200/69092 Loss: 156.396
-54400/69092 Loss: 154.604
-57600/69092 Loss: 155.950
-60800/69092 Loss: 154.924
-64000/69092 Loss: 154.222
-67200/69092 Loss: 157.096
-Training time 0:05:07.493872
-Epoch: 41 Average loss: 156.00
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 43)
-0/69092 Loss: 176.641
-3200/69092 Loss: 156.157
-6400/69092 Loss: 157.115
-9600/69092 Loss: 150.653
-12800/69092 Loss: 154.181
-16000/69092 Loss: 158.271
-19200/69092 Loss: 155.148
-22400/69092 Loss: 156.107
-25600/69092 Loss: 157.770
-28800/69092 Loss: 155.937
-32000/69092 Loss: 154.601
-35200/69092 Loss: 155.916
-38400/69092 Loss: 154.866
-41600/69092 Loss: 153.659
-44800/69092 Loss: 156.341
-48000/69092 Loss: 157.204
-51200/69092 Loss: 156.436
-54400/69092 Loss: 155.775
-57600/69092 Loss: 154.015
-60800/69092 Loss: 154.759
-64000/69092 Loss: 157.842
-67200/69092 Loss: 157.727
-Training time 0:05:09.750887
-Epoch: 42 Average loss: 155.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 44)
-0/69092 Loss: 146.066
-3200/69092 Loss: 156.428
-6400/69092 Loss: 154.703
-9600/69092 Loss: 153.493
-12800/69092 Loss: 154.055
-16000/69092 Loss: 154.985
-19200/69092 Loss: 158.085
-22400/69092 Loss: 155.330
-25600/69092 Loss: 154.810
-28800/69092 Loss: 155.093
-32000/69092 Loss: 158.393
-35200/69092 Loss: 157.086
-38400/69092 Loss: 155.725
-41600/69092 Loss: 154.598
-44800/69092 Loss: 154.570
-48000/69092 Loss: 157.881
-51200/69092 Loss: 157.361
-54400/69092 Loss: 154.023
-57600/69092 Loss: 152.908
-60800/69092 Loss: 156.139
-64000/69092 Loss: 155.932
-67200/69092 Loss: 154.440
-Training time 0:04:59.423167
-Epoch: 43 Average loss: 155.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 45)
-0/69092 Loss: 200.474
-3200/69092 Loss: 153.884
-6400/69092 Loss: 156.203
-9600/69092 Loss: 155.631
-12800/69092 Loss: 157.309
-16000/69092 Loss: 153.582
-19200/69092 Loss: 158.401
-22400/69092 Loss: 154.351
-25600/69092 Loss: 157.492
-28800/69092 Loss: 154.397
-32000/69092 Loss: 157.346
-35200/69092 Loss: 154.203
-38400/69092 Loss: 153.720
-41600/69092 Loss: 156.197
-44800/69092 Loss: 153.916
-48000/69092 Loss: 155.614
-51200/69092 Loss: 157.565
-54400/69092 Loss: 153.797
-57600/69092 Loss: 155.992
-60800/69092 Loss: 157.435
-64000/69092 Loss: 152.022
-67200/69092 Loss: 158.247
-Training time 0:05:03.481951
-Epoch: 44 Average loss: 155.67
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 46)
-0/69092 Loss: 150.111
-3200/69092 Loss: 157.995
-6400/69092 Loss: 156.446
-9600/69092 Loss: 154.183
-12800/69092 Loss: 154.716
-16000/69092 Loss: 153.516
-19200/69092 Loss: 152.982
-22400/69092 Loss: 153.300
-25600/69092 Loss: 156.466
-28800/69092 Loss: 157.172
-32000/69092 Loss: 157.166
-35200/69092 Loss: 156.265
-38400/69092 Loss: 154.529
-41600/69092 Loss: 156.155
-44800/69092 Loss: 156.316
-48000/69092 Loss: 154.215
-51200/69092 Loss: 155.968
-54400/69092 Loss: 156.190
-57600/69092 Loss: 156.931
-60800/69092 Loss: 154.928
-64000/69092 Loss: 154.245
-67200/69092 Loss: 155.043
-Training time 0:05:06.014997
-Epoch: 45 Average loss: 155.40
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 47)
-0/69092 Loss: 164.460
-3200/69092 Loss: 155.164
-6400/69092 Loss: 153.712
-9600/69092 Loss: 158.241
-12800/69092 Loss: 154.462
-16000/69092 Loss: 153.172
-19200/69092 Loss: 155.025
-22400/69092 Loss: 156.956
-25600/69092 Loss: 157.186
-28800/69092 Loss: 154.228
-32000/69092 Loss: 155.207
-35200/69092 Loss: 155.690
-38400/69092 Loss: 153.174
-41600/69092 Loss: 154.424
-44800/69092 Loss: 156.082
-48000/69092 Loss: 155.082
-51200/69092 Loss: 155.209
-54400/69092 Loss: 156.691
-57600/69092 Loss: 154.057
-60800/69092 Loss: 157.915
-64000/69092 Loss: 155.094
-67200/69092 Loss: 156.608
-Training time 0:05:06.110059
-Epoch: 46 Average loss: 155.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 48)
-0/69092 Loss: 157.285
-3200/69092 Loss: 155.880
-6400/69092 Loss: 157.244
-9600/69092 Loss: 154.071
-12800/69092 Loss: 156.788
-16000/69092 Loss: 154.833
-19200/69092 Loss: 155.581
-22400/69092 Loss: 155.328
-25600/69092 Loss: 155.566
-28800/69092 Loss: 155.714
-32000/69092 Loss: 154.491
-35200/69092 Loss: 154.973
-38400/69092 Loss: 154.087
-41600/69092 Loss: 154.297
-44800/69092 Loss: 156.104
-48000/69092 Loss: 154.182
-51200/69092 Loss: 156.398
-54400/69092 Loss: 155.229
-57600/69092 Loss: 152.827
-60800/69092 Loss: 157.835
-64000/69092 Loss: 156.431
-67200/69092 Loss: 157.561
-Training time 0:05:04.778110
-Epoch: 47 Average loss: 155.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 49)
-0/69092 Loss: 155.640
-3200/69092 Loss: 157.163
-6400/69092 Loss: 155.718
-9600/69092 Loss: 153.309
-12800/69092 Loss: 157.666
-16000/69092 Loss: 154.540
-19200/69092 Loss: 155.487
-22400/69092 Loss: 154.137
-25600/69092 Loss: 155.672
-28800/69092 Loss: 153.656
-32000/69092 Loss: 155.147
-35200/69092 Loss: 154.278
-38400/69092 Loss: 154.301
-41600/69092 Loss: 153.384
-44800/69092 Loss: 158.994
-48000/69092 Loss: 155.656
-51200/69092 Loss: 155.256
-54400/69092 Loss: 156.492
-57600/69092 Loss: 151.754
-60800/69092 Loss: 154.231
-64000/69092 Loss: 156.473
-67200/69092 Loss: 156.620
-Training time 0:05:05.030386
-Epoch: 48 Average loss: 155.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 50)
-0/69092 Loss: 152.081
-3200/69092 Loss: 154.616
-6400/69092 Loss: 153.586
-9600/69092 Loss: 151.007
-12800/69092 Loss: 153.013
-16000/69092 Loss: 153.165
-19200/69092 Loss: 157.482
-22400/69092 Loss: 155.414
-25600/69092 Loss: 153.239
-28800/69092 Loss: 151.686
-32000/69092 Loss: 156.170
-35200/69092 Loss: 158.453
-38400/69092 Loss: 153.003
-41600/69092 Loss: 156.861
-44800/69092 Loss: 153.598
-48000/69092 Loss: 154.978
-51200/69092 Loss: 157.901
-54400/69092 Loss: 157.818
-57600/69092 Loss: 153.674
-60800/69092 Loss: 154.840
-64000/69092 Loss: 156.388
-67200/69092 Loss: 157.618
-Training time 0:05:05.663659
-Epoch: 49 Average loss: 154.95
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 51)
-0/69092 Loss: 138.055
-3200/69092 Loss: 157.310
-6400/69092 Loss: 155.433
-9600/69092 Loss: 156.493
-12800/69092 Loss: 154.718
-16000/69092 Loss: 155.934
-19200/69092 Loss: 153.202
-22400/69092 Loss: 153.749
-25600/69092 Loss: 155.077
-28800/69092 Loss: 155.993
-32000/69092 Loss: 152.357
-35200/69092 Loss: 152.738
-38400/69092 Loss: 157.730
-41600/69092 Loss: 155.163
-44800/69092 Loss: 155.048
-48000/69092 Loss: 154.018
-51200/69092 Loss: 153.513
-54400/69092 Loss: 154.700
-57600/69092 Loss: 154.419
-60800/69092 Loss: 156.469
-64000/69092 Loss: 156.642
-67200/69092 Loss: 157.263
-Training time 0:05:02.768568
-Epoch: 50 Average loss: 155.11
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 52)
-0/69092 Loss: 161.086
-3200/69092 Loss: 154.211
-6400/69092 Loss: 154.670
-9600/69092 Loss: 155.008
-12800/69092 Loss: 155.333
-16000/69092 Loss: 155.166
-19200/69092 Loss: 155.091
-22400/69092 Loss: 154.827
-25600/69092 Loss: 153.501
-28800/69092 Loss: 155.039
-32000/69092 Loss: 154.895
-35200/69092 Loss: 155.657
-38400/69092 Loss: 157.103
-41600/69092 Loss: 155.500
-44800/69092 Loss: 151.399
-48000/69092 Loss: 157.694
-51200/69092 Loss: 156.642
-54400/69092 Loss: 154.087
-57600/69092 Loss: 153.673
-60800/69092 Loss: 154.877
-64000/69092 Loss: 154.903
-67200/69092 Loss: 156.111
-Training time 0:05:05.459720
-Epoch: 51 Average loss: 155.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 53)
-0/69092 Loss: 141.273
-3200/69092 Loss: 154.704
-6400/69092 Loss: 160.726
-9600/69092 Loss: 158.246
-12800/69092 Loss: 154.867
-16000/69092 Loss: 154.588
-19200/69092 Loss: 155.334
-22400/69092 Loss: 154.317
-25600/69092 Loss: 156.342
-28800/69092 Loss: 151.124
-32000/69092 Loss: 153.697
-35200/69092 Loss: 155.627
-38400/69092 Loss: 156.727
-41600/69092 Loss: 155.011
-44800/69092 Loss: 152.628
-48000/69092 Loss: 156.980
-51200/69092 Loss: 152.179
-54400/69092 Loss: 156.922
-57600/69092 Loss: 154.467
-60800/69092 Loss: 154.816
-64000/69092 Loss: 155.005
-67200/69092 Loss: 153.558
-Training time 0:05:11.431072
-Epoch: 52 Average loss: 155.04
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 54)
-0/69092 Loss: 164.586
-3200/69092 Loss: 156.119
-6400/69092 Loss: 153.139
-9600/69092 Loss: 152.056
-12800/69092 Loss: 153.613
-16000/69092 Loss: 153.200
-19200/69092 Loss: 155.015
-22400/69092 Loss: 154.981
-25600/69092 Loss: 154.164
-28800/69092 Loss: 154.798
-32000/69092 Loss: 153.374
-35200/69092 Loss: 154.654
-38400/69092 Loss: 153.589
-41600/69092 Loss: 152.973
-44800/69092 Loss: 155.552
-48000/69092 Loss: 154.761
-51200/69092 Loss: 156.590
-54400/69092 Loss: 153.793
-57600/69092 Loss: 156.273
-60800/69092 Loss: 155.909
-64000/69092 Loss: 154.876
-67200/69092 Loss: 157.661
-Training time 0:05:05.996288
-Epoch: 53 Average loss: 154.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 55)
-0/69092 Loss: 146.012
-3200/69092 Loss: 152.299
-6400/69092 Loss: 152.976
-9600/69092 Loss: 152.541
-12800/69092 Loss: 155.811
-16000/69092 Loss: 154.429
-19200/69092 Loss: 156.677
-22400/69092 Loss: 151.371
-25600/69092 Loss: 157.504
-28800/69092 Loss: 159.227
-32000/69092 Loss: 155.371
-35200/69092 Loss: 153.324
-38400/69092 Loss: 155.056
-41600/69092 Loss: 154.234
-44800/69092 Loss: 154.490
-48000/69092 Loss: 153.918
-51200/69092 Loss: 152.108
-54400/69092 Loss: 154.187
-57600/69092 Loss: 155.906
-60800/69092 Loss: 153.891
-64000/69092 Loss: 155.826
-67200/69092 Loss: 155.579
-Training time 0:05:04.230799
-Epoch: 54 Average loss: 154.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 56)
-0/69092 Loss: 153.508
-3200/69092 Loss: 155.734
-6400/69092 Loss: 154.875
-9600/69092 Loss: 155.674
-12800/69092 Loss: 154.985
-16000/69092 Loss: 154.900
-19200/69092 Loss: 155.885
-22400/69092 Loss: 152.871
-25600/69092 Loss: 153.240
-28800/69092 Loss: 155.101
-32000/69092 Loss: 155.479
-35200/69092 Loss: 154.778
-38400/69092 Loss: 154.601
-41600/69092 Loss: 152.157
-44800/69092 Loss: 152.879
-48000/69092 Loss: 155.989
-51200/69092 Loss: 155.628
-54400/69092 Loss: 157.303
-57600/69092 Loss: 152.704
-60800/69092 Loss: 152.557
-64000/69092 Loss: 153.799
-67200/69092 Loss: 153.185
-Training time 0:05:03.901663
-Epoch: 55 Average loss: 154.57
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 57)
-0/69092 Loss: 154.122
-3200/69092 Loss: 152.552
-6400/69092 Loss: 152.658
-9600/69092 Loss: 153.987
-12800/69092 Loss: 156.042
-16000/69092 Loss: 155.590
-19200/69092 Loss: 153.177
-22400/69092 Loss: 154.028
-25600/69092 Loss: 155.959
-28800/69092 Loss: 154.585
-32000/69092 Loss: 154.518
-35200/69092 Loss: 152.070
-38400/69092 Loss: 158.937
-41600/69092 Loss: 154.355
-44800/69092 Loss: 154.037
-48000/69092 Loss: 152.917
-51200/69092 Loss: 156.300
-54400/69092 Loss: 154.668
-57600/69092 Loss: 155.386
-60800/69092 Loss: 156.333
-64000/69092 Loss: 153.739
-67200/69092 Loss: 152.806
-Training time 0:05:04.243139
-Epoch: 56 Average loss: 154.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 58)
-0/69092 Loss: 144.614
-3200/69092 Loss: 153.546
-6400/69092 Loss: 153.930
-9600/69092 Loss: 153.363
-12800/69092 Loss: 155.139
-16000/69092 Loss: 155.062
-19200/69092 Loss: 154.600
-22400/69092 Loss: 153.238
-25600/69092 Loss: 156.407
-28800/69092 Loss: 155.126
-32000/69092 Loss: 152.581
-35200/69092 Loss: 154.254
-38400/69092 Loss: 153.591
-41600/69092 Loss: 154.453
-44800/69092 Loss: 153.838
-48000/69092 Loss: 155.885
-51200/69092 Loss: 157.253
-54400/69092 Loss: 155.813
-57600/69092 Loss: 154.260
-60800/69092 Loss: 153.679
-64000/69092 Loss: 153.516
-67200/69092 Loss: 151.820
-Training time 0:04:59.879109
-Epoch: 57 Average loss: 154.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 59)
-0/69092 Loss: 156.545
-3200/69092 Loss: 152.711
-6400/69092 Loss: 155.152
-9600/69092 Loss: 153.643
-12800/69092 Loss: 153.460
-16000/69092 Loss: 155.417
-19200/69092 Loss: 155.859
-22400/69092 Loss: 156.568
-25600/69092 Loss: 156.311
-28800/69092 Loss: 154.010
-32000/69092 Loss: 154.787
-35200/69092 Loss: 155.393
-38400/69092 Loss: 154.792
-41600/69092 Loss: 154.848
-44800/69092 Loss: 151.788
-48000/69092 Loss: 153.340
-51200/69092 Loss: 154.351
-54400/69092 Loss: 151.239
-57600/69092 Loss: 154.593
-60800/69092 Loss: 153.693
-64000/69092 Loss: 154.874
-67200/69092 Loss: 153.618
-Training time 0:05:07.218632
-Epoch: 58 Average loss: 154.34
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 60)
-0/69092 Loss: 156.600
-3200/69092 Loss: 156.684
-6400/69092 Loss: 151.265
-9600/69092 Loss: 151.986
-12800/69092 Loss: 153.862
-16000/69092 Loss: 154.563
-19200/69092 Loss: 156.867
-22400/69092 Loss: 153.331
-25600/69092 Loss: 156.700
-28800/69092 Loss: 157.730
-32000/69092 Loss: 153.682
-35200/69092 Loss: 152.577
-38400/69092 Loss: 154.478
-41600/69092 Loss: 153.996
-44800/69092 Loss: 151.927
-48000/69092 Loss: 152.702
-51200/69092 Loss: 154.391
-54400/69092 Loss: 153.501
-57600/69092 Loss: 154.020
-60800/69092 Loss: 153.457
-64000/69092 Loss: 154.137
-67200/69092 Loss: 156.023
-Training time 0:05:04.719617
-Epoch: 59 Average loss: 154.26
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 61)
-0/69092 Loss: 170.459
-3200/69092 Loss: 152.318
-6400/69092 Loss: 154.422
-9600/69092 Loss: 152.764
-12800/69092 Loss: 154.167
-16000/69092 Loss: 152.276
-19200/69092 Loss: 157.502
-22400/69092 Loss: 152.620
-25600/69092 Loss: 152.902
-28800/69092 Loss: 155.460
-32000/69092 Loss: 155.917
-35200/69092 Loss: 152.836
-38400/69092 Loss: 154.717
-41600/69092 Loss: 153.879
-44800/69092 Loss: 152.771
-48000/69092 Loss: 154.452
-51200/69092 Loss: 154.147
-54400/69092 Loss: 156.133
-57600/69092 Loss: 156.922
-60800/69092 Loss: 153.447
-64000/69092 Loss: 153.968
-67200/69092 Loss: 153.248
-Training time 0:05:06.522886
-Epoch: 60 Average loss: 154.14
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 62)
-0/69092 Loss: 147.740
-3200/69092 Loss: 152.669
-6400/69092 Loss: 155.595
-9600/69092 Loss: 151.748
-12800/69092 Loss: 156.285
-16000/69092 Loss: 154.100
-19200/69092 Loss: 158.269
-22400/69092 Loss: 154.795
-25600/69092 Loss: 154.597
-28800/69092 Loss: 154.787
-32000/69092 Loss: 154.627
-35200/69092 Loss: 155.593
-38400/69092 Loss: 155.354
-41600/69092 Loss: 152.669
-44800/69092 Loss: 153.115
-48000/69092 Loss: 155.852
-51200/69092 Loss: 156.078
-54400/69092 Loss: 151.349
-57600/69092 Loss: 151.340
-60800/69092 Loss: 151.443
-64000/69092 Loss: 150.492
-67200/69092 Loss: 152.684
-Training time 0:05:05.323525
-Epoch: 61 Average loss: 154.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 63)
-0/69092 Loss: 139.416
-3200/69092 Loss: 153.701
-6400/69092 Loss: 155.274
-9600/69092 Loss: 154.927
-12800/69092 Loss: 152.724
-16000/69092 Loss: 155.177
-19200/69092 Loss: 155.993
-22400/69092 Loss: 153.200
-25600/69092 Loss: 153.818
-28800/69092 Loss: 153.500
-32000/69092 Loss: 153.379
-35200/69092 Loss: 154.827
-38400/69092 Loss: 152.315
-41600/69092 Loss: 154.844
-44800/69092 Loss: 153.337
-48000/69092 Loss: 154.495
-51200/69092 Loss: 156.173
-54400/69092 Loss: 152.639
-57600/69092 Loss: 151.143
-60800/69092 Loss: 156.477
-64000/69092 Loss: 151.459
-67200/69092 Loss: 156.094
-Training time 0:05:08.764411
-Epoch: 62 Average loss: 154.09
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 64)
-0/69092 Loss: 150.931
-3200/69092 Loss: 153.194
-6400/69092 Loss: 153.936
-9600/69092 Loss: 155.239
-12800/69092 Loss: 153.442
-16000/69092 Loss: 155.337
-19200/69092 Loss: 155.263
-22400/69092 Loss: 154.418
-25600/69092 Loss: 153.767
-28800/69092 Loss: 152.669
-32000/69092 Loss: 153.968
-35200/69092 Loss: 155.063
-38400/69092 Loss: 154.774
-41600/69092 Loss: 155.956
-44800/69092 Loss: 149.058
-48000/69092 Loss: 153.635
-51200/69092 Loss: 153.272
-54400/69092 Loss: 154.152
-57600/69092 Loss: 155.237
-60800/69092 Loss: 153.538
-64000/69092 Loss: 152.544
-67200/69092 Loss: 155.601
-Training time 0:04:58.135277
-Epoch: 63 Average loss: 153.99
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 65)
-0/69092 Loss: 149.957
-3200/69092 Loss: 154.703
-6400/69092 Loss: 154.330
-9600/69092 Loss: 153.689
-12800/69092 Loss: 152.845
-16000/69092 Loss: 153.162
-19200/69092 Loss: 153.399
-22400/69092 Loss: 157.306
-25600/69092 Loss: 152.055
-28800/69092 Loss: 153.684
-32000/69092 Loss: 151.968
-35200/69092 Loss: 152.251
-38400/69092 Loss: 151.774
-41600/69092 Loss: 154.926
-44800/69092 Loss: 155.528
-48000/69092 Loss: 152.358
-51200/69092 Loss: 154.989
-54400/69092 Loss: 153.860
-57600/69092 Loss: 151.102
-60800/69092 Loss: 156.806
-64000/69092 Loss: 156.172
-67200/69092 Loss: 152.239
-Training time 0:05:04.264074
-Epoch: 64 Average loss: 153.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 66)
-0/69092 Loss: 135.616
-3200/69092 Loss: 152.446
-6400/69092 Loss: 154.534
-9600/69092 Loss: 156.478
-12800/69092 Loss: 152.469
-16000/69092 Loss: 153.438
-19200/69092 Loss: 152.151
-22400/69092 Loss: 151.988
-25600/69092 Loss: 152.486
-28800/69092 Loss: 154.608
-32000/69092 Loss: 152.458
-35200/69092 Loss: 155.160
-38400/69092 Loss: 152.668
-41600/69092 Loss: 153.771
-44800/69092 Loss: 155.444
-48000/69092 Loss: 153.273
-51200/69092 Loss: 154.682
-54400/69092 Loss: 156.136
-57600/69092 Loss: 154.308
-60800/69092 Loss: 154.201
-64000/69092 Loss: 154.921
-67200/69092 Loss: 151.464
-Training time 0:05:11.196563
-Epoch: 65 Average loss: 153.87
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 67)
-0/69092 Loss: 153.509
-3200/69092 Loss: 153.018
-6400/69092 Loss: 151.510
-9600/69092 Loss: 153.944
-12800/69092 Loss: 153.229
-16000/69092 Loss: 154.579
-19200/69092 Loss: 152.519
-22400/69092 Loss: 155.319
-25600/69092 Loss: 154.698
-28800/69092 Loss: 154.007
-32000/69092 Loss: 153.458
-35200/69092 Loss: 153.842
-38400/69092 Loss: 152.014
-41600/69092 Loss: 153.029
-44800/69092 Loss: 153.387
-48000/69092 Loss: 156.787
-51200/69092 Loss: 155.629
-54400/69092 Loss: 153.123
-57600/69092 Loss: 156.001
-60800/69092 Loss: 153.081
-64000/69092 Loss: 154.751
-67200/69092 Loss: 152.536
-Training time 0:04:59.973290
-Epoch: 66 Average loss: 153.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 68)
-0/69092 Loss: 158.298
-3200/69092 Loss: 152.507
-6400/69092 Loss: 152.727
-9600/69092 Loss: 153.121
-12800/69092 Loss: 150.498
-16000/69092 Loss: 151.056
-19200/69092 Loss: 157.246
-22400/69092 Loss: 155.845
-25600/69092 Loss: 155.414
-28800/69092 Loss: 155.750
-32000/69092 Loss: 151.761
-35200/69092 Loss: 155.314
-38400/69092 Loss: 157.279
-41600/69092 Loss: 155.597
-44800/69092 Loss: 153.331
-48000/69092 Loss: 153.527
-51200/69092 Loss: 152.233
-54400/69092 Loss: 152.478
-57600/69092 Loss: 154.482
-60800/69092 Loss: 153.493
-64000/69092 Loss: 152.558
-67200/69092 Loss: 156.084
-Training time 0:05:03.196744
-Epoch: 67 Average loss: 153.94
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 69)
-0/69092 Loss: 137.431
-3200/69092 Loss: 153.184
-6400/69092 Loss: 153.018
-9600/69092 Loss: 153.017
-12800/69092 Loss: 154.140
-16000/69092 Loss: 153.353
-19200/69092 Loss: 153.756
-22400/69092 Loss: 155.243
-25600/69092 Loss: 152.656
-28800/69092 Loss: 150.268
-32000/69092 Loss: 154.123
-35200/69092 Loss: 152.991
-38400/69092 Loss: 155.381
-41600/69092 Loss: 152.844
-44800/69092 Loss: 157.580
-48000/69092 Loss: 155.649
-51200/69092 Loss: 152.598
-54400/69092 Loss: 155.049
-57600/69092 Loss: 156.392
-60800/69092 Loss: 151.240
-64000/69092 Loss: 155.197
-67200/69092 Loss: 153.459
-Training time 0:05:07.525183
-Epoch: 68 Average loss: 153.81
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 70)
-0/69092 Loss: 151.003
-3200/69092 Loss: 154.731
-6400/69092 Loss: 151.691
-9600/69092 Loss: 156.213
-12800/69092 Loss: 154.119
-16000/69092 Loss: 156.713
-19200/69092 Loss: 158.253
-22400/69092 Loss: 152.825
-25600/69092 Loss: 153.418
-28800/69092 Loss: 151.424
-32000/69092 Loss: 151.944
-35200/69092 Loss: 150.554
-38400/69092 Loss: 156.523
-41600/69092 Loss: 154.309
-44800/69092 Loss: 151.041
-48000/69092 Loss: 154.112
-51200/69092 Loss: 152.367
-54400/69092 Loss: 154.360
-57600/69092 Loss: 152.664
-60800/69092 Loss: 152.367
-64000/69092 Loss: 152.254
-67200/69092 Loss: 155.735
-Training time 0:04:59.974978
-Epoch: 69 Average loss: 153.75
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 71)
-0/69092 Loss: 161.774
-3200/69092 Loss: 155.306
-6400/69092 Loss: 152.665
-9600/69092 Loss: 151.905
-12800/69092 Loss: 155.717
-16000/69092 Loss: 152.308
-19200/69092 Loss: 153.469
-22400/69092 Loss: 153.628
-25600/69092 Loss: 152.235
-28800/69092 Loss: 151.682
-32000/69092 Loss: 154.698
-35200/69092 Loss: 154.138
-38400/69092 Loss: 155.426
-41600/69092 Loss: 149.700
-44800/69092 Loss: 153.198
-48000/69092 Loss: 155.658
-51200/69092 Loss: 154.721
-54400/69092 Loss: 154.164
-57600/69092 Loss: 149.495
-60800/69092 Loss: 155.010
-64000/69092 Loss: 155.860
-67200/69092 Loss: 152.009
-Training time 0:05:03.293064
-Epoch: 70 Average loss: 153.46
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 72)
-0/69092 Loss: 144.245
-3200/69092 Loss: 154.381
-6400/69092 Loss: 153.375
-9600/69092 Loss: 150.919
-12800/69092 Loss: 153.996
-16000/69092 Loss: 153.696
-19200/69092 Loss: 153.120
-22400/69092 Loss: 153.994
-25600/69092 Loss: 154.056
-28800/69092 Loss: 155.968
-32000/69092 Loss: 151.166
-35200/69092 Loss: 152.345
-38400/69092 Loss: 154.135
-41600/69092 Loss: 152.586
-44800/69092 Loss: 154.086
-48000/69092 Loss: 156.236
-51200/69092 Loss: 154.236
-54400/69092 Loss: 153.280
-57600/69092 Loss: 153.596
-60800/69092 Loss: 154.071
-64000/69092 Loss: 152.977
-67200/69092 Loss: 154.226
-Training time 0:05:06.396825
-Epoch: 71 Average loss: 153.66
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 73)
-0/69092 Loss: 156.194
-3200/69092 Loss: 151.805
-6400/69092 Loss: 154.363
-9600/69092 Loss: 154.537
-12800/69092 Loss: 152.933
-16000/69092 Loss: 156.908
-19200/69092 Loss: 156.385
-22400/69092 Loss: 153.351
-25600/69092 Loss: 153.926
-28800/69092 Loss: 154.872
-32000/69092 Loss: 154.015
-35200/69092 Loss: 150.921
-38400/69092 Loss: 153.676
-41600/69092 Loss: 152.123
-44800/69092 Loss: 151.742
-48000/69092 Loss: 151.958
-51200/69092 Loss: 154.512
-54400/69092 Loss: 151.513
-57600/69092 Loss: 154.801
-60800/69092 Loss: 153.840
-64000/69092 Loss: 152.705
-67200/69092 Loss: 151.378
-Training time 0:05:00.657293
-Epoch: 72 Average loss: 153.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 74)
-0/69092 Loss: 156.484
-3200/69092 Loss: 155.144
-6400/69092 Loss: 151.167
-9600/69092 Loss: 154.190
-12800/69092 Loss: 151.972
-16000/69092 Loss: 155.841
-19200/69092 Loss: 153.245
-22400/69092 Loss: 153.017
-25600/69092 Loss: 154.034
-28800/69092 Loss: 154.449
-32000/69092 Loss: 151.774
-35200/69092 Loss: 154.554
-38400/69092 Loss: 152.260
-41600/69092 Loss: 153.270
-44800/69092 Loss: 156.584
-48000/69092 Loss: 156.922
-51200/69092 Loss: 149.480
-54400/69092 Loss: 152.737
-57600/69092 Loss: 152.815
-60800/69092 Loss: 152.341
-64000/69092 Loss: 155.473
-67200/69092 Loss: 153.995
-Training time 0:05:02.853466
-Epoch: 73 Average loss: 153.56
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 75)
-0/69092 Loss: 148.939
-3200/69092 Loss: 153.304
-6400/69092 Loss: 154.032
-9600/69092 Loss: 151.501
-12800/69092 Loss: 155.538
-16000/69092 Loss: 155.840
-19200/69092 Loss: 154.375
-22400/69092 Loss: 152.371
-25600/69092 Loss: 153.850
-28800/69092 Loss: 155.079
-32000/69092 Loss: 155.369
-35200/69092 Loss: 153.096
-38400/69092 Loss: 153.323
-41600/69092 Loss: 153.568
-44800/69092 Loss: 152.036
-48000/69092 Loss: 150.695
-51200/69092 Loss: 152.184
-54400/69092 Loss: 153.827
-57600/69092 Loss: 151.439
-60800/69092 Loss: 153.644
-64000/69092 Loss: 155.684
-67200/69092 Loss: 153.418
-Training time 0:05:00.557330
-Epoch: 74 Average loss: 153.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 76)
-0/69092 Loss: 150.033
-3200/69092 Loss: 153.176
-6400/69092 Loss: 153.239
-9600/69092 Loss: 151.274
-12800/69092 Loss: 153.676
-16000/69092 Loss: 155.003
-19200/69092 Loss: 152.913
-22400/69092 Loss: 153.146
-25600/69092 Loss: 152.478
-28800/69092 Loss: 153.191
-32000/69092 Loss: 154.477
-35200/69092 Loss: 151.997
-38400/69092 Loss: 150.608
-41600/69092 Loss: 155.911
-44800/69092 Loss: 154.714
-48000/69092 Loss: 151.517
-51200/69092 Loss: 153.886
-54400/69092 Loss: 152.867
-57600/69092 Loss: 153.793
-60800/69092 Loss: 152.574
-64000/69092 Loss: 151.439
-67200/69092 Loss: 154.768
-Training time 0:05:01.203807
-Epoch: 75 Average loss: 153.26
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 77)
-0/69092 Loss: 142.014
-3200/69092 Loss: 154.271
-6400/69092 Loss: 154.913
-9600/69092 Loss: 154.524
-12800/69092 Loss: 153.158
-16000/69092 Loss: 154.462
-19200/69092 Loss: 153.590
-22400/69092 Loss: 152.747
-25600/69092 Loss: 152.127
-28800/69092 Loss: 150.609
-32000/69092 Loss: 151.544
-35200/69092 Loss: 153.632
-38400/69092 Loss: 152.679
-41600/69092 Loss: 154.565
-44800/69092 Loss: 153.910
-48000/69092 Loss: 151.477
-51200/69092 Loss: 154.229
-54400/69092 Loss: 151.742
-57600/69092 Loss: 153.524
-60800/69092 Loss: 150.082
-64000/69092 Loss: 154.862
-67200/69092 Loss: 156.026
-Training time 0:05:04.062959
-Epoch: 76 Average loss: 153.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 78)
-0/69092 Loss: 148.453
-3200/69092 Loss: 152.221
-6400/69092 Loss: 153.214
-9600/69092 Loss: 155.322
-12800/69092 Loss: 153.553
-16000/69092 Loss: 152.134
-19200/69092 Loss: 153.447
-22400/69092 Loss: 154.105
-25600/69092 Loss: 153.733
-28800/69092 Loss: 151.577
-32000/69092 Loss: 155.673
-35200/69092 Loss: 153.258
-38400/69092 Loss: 152.589
-41600/69092 Loss: 152.946
-44800/69092 Loss: 152.928
-48000/69092 Loss: 152.054
-51200/69092 Loss: 153.723
-54400/69092 Loss: 151.409
-57600/69092 Loss: 152.121
-60800/69092 Loss: 153.611
-64000/69092 Loss: 152.776
-67200/69092 Loss: 153.087
-Training time 0:05:01.937133
-Epoch: 77 Average loss: 153.17
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 79)
-0/69092 Loss: 158.441
-3200/69092 Loss: 155.406
-6400/69092 Loss: 152.158
-9600/69092 Loss: 155.231
-12800/69092 Loss: 150.286
-16000/69092 Loss: 154.259
-19200/69092 Loss: 151.001
-22400/69092 Loss: 154.950
-25600/69092 Loss: 152.324
-28800/69092 Loss: 154.063
-32000/69092 Loss: 153.091
-35200/69092 Loss: 153.493
-38400/69092 Loss: 150.938
-41600/69092 Loss: 154.376
-44800/69092 Loss: 153.107
-48000/69092 Loss: 152.342
-51200/69092 Loss: 155.247
-54400/69092 Loss: 152.103
-57600/69092 Loss: 154.678
-60800/69092 Loss: 152.135
-64000/69092 Loss: 152.381
-67200/69092 Loss: 153.750
-Training time 0:05:03.291943
-Epoch: 78 Average loss: 153.20
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 80)
-0/69092 Loss: 151.019
-3200/69092 Loss: 151.870
-6400/69092 Loss: 152.273
-9600/69092 Loss: 153.427
-12800/69092 Loss: 155.270
-16000/69092 Loss: 154.600
-19200/69092 Loss: 150.932
-22400/69092 Loss: 154.699
-25600/69092 Loss: 153.568
-28800/69092 Loss: 149.703
-32000/69092 Loss: 151.962
-35200/69092 Loss: 153.908
-38400/69092 Loss: 152.027
-41600/69092 Loss: 154.136
-44800/69092 Loss: 154.786
-48000/69092 Loss: 155.455
-51200/69092 Loss: 153.557
-54400/69092 Loss: 154.232
-57600/69092 Loss: 152.527
-60800/69092 Loss: 151.458
-64000/69092 Loss: 155.241
-67200/69092 Loss: 155.344
-Training time 0:05:00.654061
-Epoch: 79 Average loss: 153.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 81)
-0/69092 Loss: 164.827
-3200/69092 Loss: 152.071
-6400/69092 Loss: 154.103
-9600/69092 Loss: 151.613
-12800/69092 Loss: 153.057
-16000/69092 Loss: 153.029
-19200/69092 Loss: 153.164
-22400/69092 Loss: 155.791
-25600/69092 Loss: 150.832
-28800/69092 Loss: 153.147
-32000/69092 Loss: 154.802
-35200/69092 Loss: 155.089
-38400/69092 Loss: 149.886
-41600/69092 Loss: 154.534
-44800/69092 Loss: 152.561
-48000/69092 Loss: 154.211
-51200/69092 Loss: 152.915
-54400/69092 Loss: 154.393
-57600/69092 Loss: 151.915
-60800/69092 Loss: 153.240
-64000/69092 Loss: 152.048
-67200/69092 Loss: 153.093
-Training time 0:04:59.990244
-Epoch: 80 Average loss: 153.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 82)
-0/69092 Loss: 151.023
-3200/69092 Loss: 150.561
-6400/69092 Loss: 152.307
-9600/69092 Loss: 152.909
-12800/69092 Loss: 154.198
-16000/69092 Loss: 152.977
-19200/69092 Loss: 151.994
-22400/69092 Loss: 154.000
-25600/69092 Loss: 152.126
-28800/69092 Loss: 155.862
-32000/69092 Loss: 153.807
-35200/69092 Loss: 156.478
-38400/69092 Loss: 153.013
-41600/69092 Loss: 153.210
-44800/69092 Loss: 153.690
-48000/69092 Loss: 151.425
-51200/69092 Loss: 154.031
-54400/69092 Loss: 155.327
-57600/69092 Loss: 151.086
-60800/69092 Loss: 152.455
-64000/69092 Loss: 151.816
-67200/69092 Loss: 155.467
-Training time 0:05:06.066471
-Epoch: 81 Average loss: 153.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 83)
-0/69092 Loss: 170.955
-3200/69092 Loss: 151.483
-6400/69092 Loss: 153.425
-9600/69092 Loss: 151.804
-12800/69092 Loss: 154.874
-16000/69092 Loss: 153.667
-19200/69092 Loss: 150.724
-22400/69092 Loss: 152.623
-25600/69092 Loss: 152.325
-28800/69092 Loss: 154.891
-32000/69092 Loss: 152.610
-35200/69092 Loss: 154.654
-38400/69092 Loss: 150.852
-41600/69092 Loss: 150.880
-44800/69092 Loss: 154.887
-48000/69092 Loss: 154.362
-51200/69092 Loss: 153.672
-54400/69092 Loss: 151.659
-57600/69092 Loss: 152.698
-60800/69092 Loss: 152.635
-64000/69092 Loss: 153.886
-67200/69092 Loss: 152.832
-Training time 0:05:04.369737
-Epoch: 82 Average loss: 152.92
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 84)
-0/69092 Loss: 147.327
-3200/69092 Loss: 151.784
-6400/69092 Loss: 154.445
-9600/69092 Loss: 154.886
-12800/69092 Loss: 152.869
-16000/69092 Loss: 153.140
-19200/69092 Loss: 151.202
-22400/69092 Loss: 154.594
-25600/69092 Loss: 154.053
-28800/69092 Loss: 152.765
-32000/69092 Loss: 154.873
-35200/69092 Loss: 150.885
-38400/69092 Loss: 154.746
-41600/69092 Loss: 156.010
-44800/69092 Loss: 152.345
-48000/69092 Loss: 154.142
-51200/69092 Loss: 151.205
-54400/69092 Loss: 151.321
-57600/69092 Loss: 152.261
-60800/69092 Loss: 155.695
-64000/69092 Loss: 151.443
-67200/69092 Loss: 151.694
-Training time 0:05:02.456637
-Epoch: 83 Average loss: 153.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 85)
-0/69092 Loss: 157.304
-3200/69092 Loss: 153.795
-6400/69092 Loss: 151.412
-9600/69092 Loss: 153.938
-12800/69092 Loss: 157.122
-16000/69092 Loss: 154.438
-19200/69092 Loss: 155.162
-22400/69092 Loss: 155.787
-25600/69092 Loss: 153.335
-28800/69092 Loss: 154.145
-32000/69092 Loss: 154.408
-35200/69092 Loss: 152.654
-38400/69092 Loss: 153.887
-41600/69092 Loss: 151.372
-44800/69092 Loss: 153.267
-48000/69092 Loss: 151.122
-51200/69092 Loss: 151.413
-54400/69092 Loss: 152.751
-57600/69092 Loss: 152.389
-60800/69092 Loss: 151.229
-64000/69092 Loss: 152.515
-67200/69092 Loss: 150.938
-Training time 0:05:04.469644
-Epoch: 84 Average loss: 153.20
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 86)
-0/69092 Loss: 155.411
-3200/69092 Loss: 152.728
-6400/69092 Loss: 153.224
-9600/69092 Loss: 153.888
-12800/69092 Loss: 150.202
-16000/69092 Loss: 151.087
-19200/69092 Loss: 151.997
-22400/69092 Loss: 153.448
-25600/69092 Loss: 153.868
-28800/69092 Loss: 154.632
-32000/69092 Loss: 152.747
-35200/69092 Loss: 151.499
-38400/69092 Loss: 152.371
-41600/69092 Loss: 155.379
-44800/69092 Loss: 150.440
-48000/69092 Loss: 152.814
-51200/69092 Loss: 153.243
-54400/69092 Loss: 154.576
-57600/69092 Loss: 153.910
-60800/69092 Loss: 152.324
-64000/69092 Loss: 156.518
-67200/69092 Loss: 151.910
-Training time 0:04:59.088313
-Epoch: 85 Average loss: 153.01
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 87)
-0/69092 Loss: 160.774
-3200/69092 Loss: 155.434
-6400/69092 Loss: 157.195
-9600/69092 Loss: 152.280
-12800/69092 Loss: 156.440
-16000/69092 Loss: 151.277
-19200/69092 Loss: 152.130
-22400/69092 Loss: 153.580
-25600/69092 Loss: 154.009
-28800/69092 Loss: 152.155
-32000/69092 Loss: 153.223
-35200/69092 Loss: 153.253
-38400/69092 Loss: 151.555
-41600/69092 Loss: 152.075
-44800/69092 Loss: 152.142
-48000/69092 Loss: 156.967
-51200/69092 Loss: 151.809
-54400/69092 Loss: 149.804
-57600/69092 Loss: 150.972
-60800/69092 Loss: 151.268
-64000/69092 Loss: 154.066
-67200/69092 Loss: 151.888
-Training time 0:04:58.442294
-Epoch: 86 Average loss: 153.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 88)
-0/69092 Loss: 152.322
-3200/69092 Loss: 151.590
-6400/69092 Loss: 153.602
-9600/69092 Loss: 151.057
-12800/69092 Loss: 151.128
-16000/69092 Loss: 154.163
-19200/69092 Loss: 153.779
-22400/69092 Loss: 152.040
-25600/69092 Loss: 154.772
-28800/69092 Loss: 153.669
-32000/69092 Loss: 151.816
-35200/69092 Loss: 151.665
-38400/69092 Loss: 153.741
-41600/69092 Loss: 155.616
-44800/69092 Loss: 154.520
-48000/69092 Loss: 151.972
-51200/69092 Loss: 152.793
-54400/69092 Loss: 154.131
-57600/69092 Loss: 152.470
-60800/69092 Loss: 153.640
-64000/69092 Loss: 153.099
-67200/69092 Loss: 150.981
-Training time 0:05:07.376272
-Epoch: 87 Average loss: 153.01
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 89)
-0/69092 Loss: 159.553
-3200/69092 Loss: 153.347
-6400/69092 Loss: 152.530
-9600/69092 Loss: 154.021
-12800/69092 Loss: 153.439
-16000/69092 Loss: 149.131
-19200/69092 Loss: 150.333
-22400/69092 Loss: 151.817
-25600/69092 Loss: 152.307
-28800/69092 Loss: 154.859
-32000/69092 Loss: 154.099
-35200/69092 Loss: 151.406
-38400/69092 Loss: 152.829
-41600/69092 Loss: 153.314
-44800/69092 Loss: 154.028
-48000/69092 Loss: 156.256
-51200/69092 Loss: 152.179
-54400/69092 Loss: 153.508
-57600/69092 Loss: 154.960
-60800/69092 Loss: 148.960
-64000/69092 Loss: 155.890
-67200/69092 Loss: 152.293
-Training time 0:04:55.985734
-Epoch: 88 Average loss: 152.89
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 90)
-0/69092 Loss: 136.290
-3200/69092 Loss: 152.589
-6400/69092 Loss: 151.043
-9600/69092 Loss: 155.248
-12800/69092 Loss: 151.427
-16000/69092 Loss: 151.395
-19200/69092 Loss: 151.643
-22400/69092 Loss: 154.406
-25600/69092 Loss: 155.140
-28800/69092 Loss: 156.893
-32000/69092 Loss: 151.823
-35200/69092 Loss: 153.980
-38400/69092 Loss: 151.603
-41600/69092 Loss: 154.155
-44800/69092 Loss: 151.745
-48000/69092 Loss: 152.713
-51200/69092 Loss: 156.490
-54400/69092 Loss: 151.307
-57600/69092 Loss: 154.355
-60800/69092 Loss: 152.788
-64000/69092 Loss: 150.361
-67200/69092 Loss: 151.625
-Training time 0:05:00.287694
-Epoch: 89 Average loss: 152.92
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 91)
-0/69092 Loss: 173.193
-3200/69092 Loss: 153.656
-6400/69092 Loss: 152.859
-9600/69092 Loss: 153.125
-12800/69092 Loss: 154.441
-16000/69092 Loss: 153.359
-19200/69092 Loss: 152.302
-22400/69092 Loss: 153.237
-25600/69092 Loss: 153.937
-28800/69092 Loss: 151.052
-32000/69092 Loss: 155.033
-35200/69092 Loss: 153.576
-38400/69092 Loss: 154.512
-41600/69092 Loss: 152.978
-44800/69092 Loss: 151.260
-48000/69092 Loss: 151.452
-51200/69092 Loss: 155.488
-54400/69092 Loss: 154.502
-57600/69092 Loss: 153.495
-60800/69092 Loss: 151.899
-64000/69092 Loss: 151.552
-67200/69092 Loss: 152.370
-Training time 0:05:07.109067
-Epoch: 90 Average loss: 153.12
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 92)
-0/69092 Loss: 138.774
-3200/69092 Loss: 151.979
-6400/69092 Loss: 152.541
-9600/69092 Loss: 153.044
-12800/69092 Loss: 154.177
-16000/69092 Loss: 151.911
-19200/69092 Loss: 153.195
-22400/69092 Loss: 152.966
-25600/69092 Loss: 151.744
-28800/69092 Loss: 151.799
-32000/69092 Loss: 151.514
-35200/69092 Loss: 154.238
-38400/69092 Loss: 153.472
-41600/69092 Loss: 152.963
-44800/69092 Loss: 153.216
-48000/69092 Loss: 150.231
-51200/69092 Loss: 154.025
-54400/69092 Loss: 153.853
-57600/69092 Loss: 151.647
-60800/69092 Loss: 153.048
-64000/69092 Loss: 151.840
-67200/69092 Loss: 153.029
-Training time 0:05:03.215848
-Epoch: 91 Average loss: 152.69
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 93)
-0/69092 Loss: 150.631
-3200/69092 Loss: 155.801
-6400/69092 Loss: 152.577
-9600/69092 Loss: 149.986
-12800/69092 Loss: 150.401
-16000/69092 Loss: 151.807
-19200/69092 Loss: 150.984
-22400/69092 Loss: 153.995
-25600/69092 Loss: 151.320
-28800/69092 Loss: 151.361
-32000/69092 Loss: 150.865
-35200/69092 Loss: 154.256
-38400/69092 Loss: 155.717
-41600/69092 Loss: 152.501
-44800/69092 Loss: 152.904
-48000/69092 Loss: 155.577
-51200/69092 Loss: 153.366
-54400/69092 Loss: 154.010
-57600/69092 Loss: 153.506
-60800/69092 Loss: 151.959
-64000/69092 Loss: 152.378
-67200/69092 Loss: 153.409
-Training time 0:05:02.467104
-Epoch: 92 Average loss: 152.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 94)
-0/69092 Loss: 137.588
-3200/69092 Loss: 154.422
-6400/69092 Loss: 153.005
-9600/69092 Loss: 152.546
-12800/69092 Loss: 151.804
-16000/69092 Loss: 152.492
-19200/69092 Loss: 149.259
-22400/69092 Loss: 152.988
-25600/69092 Loss: 154.934
-28800/69092 Loss: 154.740
-32000/69092 Loss: 153.126
-35200/69092 Loss: 151.362
-38400/69092 Loss: 153.404
-41600/69092 Loss: 152.740
-44800/69092 Loss: 152.464
-48000/69092 Loss: 153.898
-51200/69092 Loss: 152.364
-54400/69092 Loss: 152.889
-57600/69092 Loss: 150.061
-60800/69092 Loss: 153.786
-64000/69092 Loss: 154.129
-67200/69092 Loss: 151.211
-Training time 0:05:21.121234
-Epoch: 93 Average loss: 152.80
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 95)
-0/69092 Loss: 159.301
-3200/69092 Loss: 152.549
-6400/69092 Loss: 152.793
-9600/69092 Loss: 154.778
-12800/69092 Loss: 152.887
-16000/69092 Loss: 154.832
-19200/69092 Loss: 151.559
-22400/69092 Loss: 152.364
-25600/69092 Loss: 152.966
-28800/69092 Loss: 154.015
-32000/69092 Loss: 151.286
-35200/69092 Loss: 154.054
-38400/69092 Loss: 152.238
-41600/69092 Loss: 152.510
-44800/69092 Loss: 151.685
-48000/69092 Loss: 151.848
-51200/69092 Loss: 150.794
-54400/69092 Loss: 151.815
-57600/69092 Loss: 154.456
-60800/69092 Loss: 153.243
-64000/69092 Loss: 151.379
-67200/69092 Loss: 152.289
-Training time 0:05:05.718220
-Epoch: 94 Average loss: 152.75
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 96)
-0/69092 Loss: 148.685
-3200/69092 Loss: 153.959
-6400/69092 Loss: 154.756
-9600/69092 Loss: 153.469
-12800/69092 Loss: 151.996
-16000/69092 Loss: 151.456
-19200/69092 Loss: 153.570
-22400/69092 Loss: 151.253
-25600/69092 Loss: 153.916
-28800/69092 Loss: 151.222
-32000/69092 Loss: 153.491
-35200/69092 Loss: 151.802
-38400/69092 Loss: 151.863
-41600/69092 Loss: 152.482
-44800/69092 Loss: 157.120
-48000/69092 Loss: 153.743
-51200/69092 Loss: 153.713
-54400/69092 Loss: 151.019
-57600/69092 Loss: 152.423
-60800/69092 Loss: 153.373
-64000/69092 Loss: 152.027
-67200/69092 Loss: 153.569
-Training time 0:05:13.770123
-Epoch: 95 Average loss: 153.04
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 97)
-0/69092 Loss: 144.888
-3200/69092 Loss: 154.294
-6400/69092 Loss: 155.633
-9600/69092 Loss: 150.376
-12800/69092 Loss: 151.350
-16000/69092 Loss: 150.670
-19200/69092 Loss: 151.202
-22400/69092 Loss: 154.200
-25600/69092 Loss: 155.299
-28800/69092 Loss: 153.456
-32000/69092 Loss: 151.662
-35200/69092 Loss: 153.122
-38400/69092 Loss: 152.119
-41600/69092 Loss: 155.510
-44800/69092 Loss: 153.847
-48000/69092 Loss: 151.220
-51200/69092 Loss: 152.173
-54400/69092 Loss: 152.944
-57600/69092 Loss: 150.199
-60800/69092 Loss: 153.262
-64000/69092 Loss: 152.992
-67200/69092 Loss: 151.225
-Training time 0:05:14.512258
-Epoch: 96 Average loss: 152.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 98)
-0/69092 Loss: 145.908
-3200/69092 Loss: 156.202
-6400/69092 Loss: 153.557
-9600/69092 Loss: 153.879
-12800/69092 Loss: 151.261
-16000/69092 Loss: 151.924
-19200/69092 Loss: 155.570
-22400/69092 Loss: 149.156
-25600/69092 Loss: 153.326
-28800/69092 Loss: 153.375
-32000/69092 Loss: 150.357
-35200/69092 Loss: 149.965
-38400/69092 Loss: 152.330
-41600/69092 Loss: 155.561
-44800/69092 Loss: 153.511
-48000/69092 Loss: 155.264
-51200/69092 Loss: 153.119
-54400/69092 Loss: 153.118
-57600/69092 Loss: 150.697
-60800/69092 Loss: 151.908
-64000/69092 Loss: 152.887
-67200/69092 Loss: 152.033
-Training time 0:05:09.046628
-Epoch: 97 Average loss: 152.84
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 99)
-0/69092 Loss: 163.816
-3200/69092 Loss: 151.839
-6400/69092 Loss: 150.942
-9600/69092 Loss: 151.094
-12800/69092 Loss: 152.994
-16000/69092 Loss: 151.583
-19200/69092 Loss: 151.724
-22400/69092 Loss: 151.680
-25600/69092 Loss: 154.411
-28800/69092 Loss: 153.341
-32000/69092 Loss: 152.108
-35200/69092 Loss: 151.711
-38400/69092 Loss: 154.571
-41600/69092 Loss: 152.383
-44800/69092 Loss: 153.287
-48000/69092 Loss: 153.545
-51200/69092 Loss: 151.304
-54400/69092 Loss: 154.108
-57600/69092 Loss: 156.060
-60800/69092 Loss: 150.395
-64000/69092 Loss: 151.598
-67200/69092 Loss: 151.042
-Training time 0:05:17.460411
-Epoch: 98 Average loss: 152.48
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 100)
-0/69092 Loss: 142.495
-3200/69092 Loss: 152.631
-6400/69092 Loss: 153.448
-9600/69092 Loss: 154.208
-12800/69092 Loss: 152.384
-16000/69092 Loss: 152.287
-19200/69092 Loss: 153.442
-22400/69092 Loss: 152.089
-25600/69092 Loss: 151.928
-28800/69092 Loss: 152.185
-32000/69092 Loss: 154.098
-35200/69092 Loss: 152.993
-38400/69092 Loss: 151.704
-41600/69092 Loss: 151.850
-44800/69092 Loss: 153.045
-48000/69092 Loss: 151.880
-51200/69092 Loss: 153.108
-54400/69092 Loss: 149.770
-57600/69092 Loss: 153.855
-60800/69092 Loss: 152.210
-64000/69092 Loss: 152.729
-67200/69092 Loss: 151.185
-Training time 0:05:17.488419
-Epoch: 99 Average loss: 152.55
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 101)
-0/69092 Loss: 152.357
-3200/69092 Loss: 152.105
-6400/69092 Loss: 151.490
-9600/69092 Loss: 153.552
-12800/69092 Loss: 152.941
-16000/69092 Loss: 148.692
-19200/69092 Loss: 152.597
-22400/69092 Loss: 151.824
-25600/69092 Loss: 154.107
-28800/69092 Loss: 155.843
-32000/69092 Loss: 151.404
-35200/69092 Loss: 154.285
-38400/69092 Loss: 149.636
-41600/69092 Loss: 153.175
-44800/69092 Loss: 153.762
-48000/69092 Loss: 150.530
-51200/69092 Loss: 152.657
-54400/69092 Loss: 150.277
-57600/69092 Loss: 151.790
-60800/69092 Loss: 151.414
-64000/69092 Loss: 152.574
-67200/69092 Loss: 154.462
-Training time 0:05:04.079356
-Epoch: 100 Average loss: 152.46
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 102)
-0/69092 Loss: 150.764
-3200/69092 Loss: 156.045
-6400/69092 Loss: 153.180
-9600/69092 Loss: 150.329
-12800/69092 Loss: 151.842
-16000/69092 Loss: 151.438
-19200/69092 Loss: 149.832
-22400/69092 Loss: 152.585
-25600/69092 Loss: 155.156
-28800/69092 Loss: 152.419
-32000/69092 Loss: 154.063
-35200/69092 Loss: 151.402
-38400/69092 Loss: 154.315
-41600/69092 Loss: 150.096
-44800/69092 Loss: 152.664
-48000/69092 Loss: 154.527
-51200/69092 Loss: 153.800
-54400/69092 Loss: 152.519
-57600/69092 Loss: 153.290
-60800/69092 Loss: 155.294
-64000/69092 Loss: 152.205
-67200/69092 Loss: 152.099
-Training time 0:04:59.508990
-Epoch: 101 Average loss: 152.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 103)
-0/69092 Loss: 164.819
-3200/69092 Loss: 154.112
-6400/69092 Loss: 153.043
-9600/69092 Loss: 153.420
-12800/69092 Loss: 153.918
-16000/69092 Loss: 151.298
-19200/69092 Loss: 153.300
-22400/69092 Loss: 152.069
-25600/69092 Loss: 152.772
-28800/69092 Loss: 153.973
-32000/69092 Loss: 153.526
-35200/69092 Loss: 154.607
-38400/69092 Loss: 153.641
-41600/69092 Loss: 152.778
-44800/69092 Loss: 150.596
-48000/69092 Loss: 150.833
-51200/69092 Loss: 151.411
-54400/69092 Loss: 151.794
-57600/69092 Loss: 152.379
-60800/69092 Loss: 150.641
-64000/69092 Loss: 153.430
-67200/69092 Loss: 153.745
-Training time 0:04:58.759844
-Epoch: 102 Average loss: 152.79
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 104)
-0/69092 Loss: 155.212
-3200/69092 Loss: 150.710
-6400/69092 Loss: 150.372
-9600/69092 Loss: 152.780
-12800/69092 Loss: 154.372
-16000/69092 Loss: 152.948
-19200/69092 Loss: 154.913
-22400/69092 Loss: 154.924
-25600/69092 Loss: 151.664
-28800/69092 Loss: 153.776
-32000/69092 Loss: 151.676
-35200/69092 Loss: 152.477
-38400/69092 Loss: 149.843
-41600/69092 Loss: 151.344
-44800/69092 Loss: 153.824
-48000/69092 Loss: 151.946
-51200/69092 Loss: 152.546
-54400/69092 Loss: 151.850
-57600/69092 Loss: 153.006
-60800/69092 Loss: 150.892
-64000/69092 Loss: 153.496
-67200/69092 Loss: 151.937
-Training time 0:05:01.081316
-Epoch: 103 Average loss: 152.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 105)
-0/69092 Loss: 158.482
-3200/69092 Loss: 155.715
-6400/69092 Loss: 150.633
-9600/69092 Loss: 150.715
-12800/69092 Loss: 151.132
-16000/69092 Loss: 152.029
-19200/69092 Loss: 152.349
-22400/69092 Loss: 149.221
-25600/69092 Loss: 152.625
-28800/69092 Loss: 150.371
-32000/69092 Loss: 152.691
-35200/69092 Loss: 152.896
-38400/69092 Loss: 156.667
-41600/69092 Loss: 152.666
-44800/69092 Loss: 151.124
-48000/69092 Loss: 153.126
-51200/69092 Loss: 152.280
-54400/69092 Loss: 153.000
-57600/69092 Loss: 151.603
-60800/69092 Loss: 153.182
-64000/69092 Loss: 153.217
-67200/69092 Loss: 153.639
-Training time 0:05:05.078701
-Epoch: 104 Average loss: 152.43
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 106)
-0/69092 Loss: 162.693
-3200/69092 Loss: 152.524
-6400/69092 Loss: 152.094
-9600/69092 Loss: 152.530
-12800/69092 Loss: 151.146
-16000/69092 Loss: 151.000
-19200/69092 Loss: 153.157
-22400/69092 Loss: 152.684
-25600/69092 Loss: 152.236
-28800/69092 Loss: 151.991
-32000/69092 Loss: 149.786
-35200/69092 Loss: 154.276
-38400/69092 Loss: 153.001
-41600/69092 Loss: 152.500
-44800/69092 Loss: 150.808
-48000/69092 Loss: 152.246
-51200/69092 Loss: 152.803
-54400/69092 Loss: 150.922
-57600/69092 Loss: 151.247
-60800/69092 Loss: 154.350
-64000/69092 Loss: 154.206
-67200/69092 Loss: 152.359
-Training time 0:05:08.495428
-Epoch: 105 Average loss: 152.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 107)
-0/69092 Loss: 157.806
-3200/69092 Loss: 154.320
-6400/69092 Loss: 154.119
-9600/69092 Loss: 152.087
-12800/69092 Loss: 151.915
-16000/69092 Loss: 151.474
-19200/69092 Loss: 150.175
-22400/69092 Loss: 152.247
-25600/69092 Loss: 155.800
-28800/69092 Loss: 152.738
-32000/69092 Loss: 155.295
-35200/69092 Loss: 153.964
-38400/69092 Loss: 155.813
-41600/69092 Loss: 154.893
-44800/69092 Loss: 151.783
-48000/69092 Loss: 150.853
-51200/69092 Loss: 150.650
-54400/69092 Loss: 153.105
-57600/69092 Loss: 150.999
-60800/69092 Loss: 151.310
-64000/69092 Loss: 152.381
-67200/69092 Loss: 153.032
-Training time 0:05:01.722781
-Epoch: 106 Average loss: 152.78
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 108)
-0/69092 Loss: 164.493
-3200/69092 Loss: 151.558
-6400/69092 Loss: 153.669
-9600/69092 Loss: 153.055
-12800/69092 Loss: 152.687
-16000/69092 Loss: 150.611
-19200/69092 Loss: 147.977
-22400/69092 Loss: 152.367
-25600/69092 Loss: 152.304
-28800/69092 Loss: 153.159
-32000/69092 Loss: 152.434
-35200/69092 Loss: 151.772
-38400/69092 Loss: 154.893
-41600/69092 Loss: 154.256
-44800/69092 Loss: 148.339
-48000/69092 Loss: 154.205
-51200/69092 Loss: 152.878
-54400/69092 Loss: 152.201
-57600/69092 Loss: 153.168
-60800/69092 Loss: 152.438
-64000/69092 Loss: 155.415
-67200/69092 Loss: 153.441
-Training time 0:05:02.547415
-Epoch: 107 Average loss: 152.42
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 109)
-0/69092 Loss: 148.809
-3200/69092 Loss: 150.910
-6400/69092 Loss: 151.943
-9600/69092 Loss: 152.889
-12800/69092 Loss: 152.411
-16000/69092 Loss: 153.348
-19200/69092 Loss: 152.371
-22400/69092 Loss: 152.439
-25600/69092 Loss: 152.269
-28800/69092 Loss: 152.576
-32000/69092 Loss: 151.970
-35200/69092 Loss: 150.969
-38400/69092 Loss: 151.487
-41600/69092 Loss: 152.641
-44800/69092 Loss: 151.826
-48000/69092 Loss: 151.155
-51200/69092 Loss: 152.168
-54400/69092 Loss: 149.807
-57600/69092 Loss: 155.031
-60800/69092 Loss: 153.892
-64000/69092 Loss: 151.999
-67200/69092 Loss: 151.738
-Training time 0:05:04.695620
-Epoch: 108 Average loss: 152.26
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 110)
-0/69092 Loss: 158.586
-3200/69092 Loss: 151.509
-6400/69092 Loss: 151.652
-9600/69092 Loss: 152.892
-12800/69092 Loss: 153.234
-16000/69092 Loss: 153.368
-19200/69092 Loss: 153.232
-22400/69092 Loss: 152.319
-25600/69092 Loss: 149.443
-28800/69092 Loss: 150.087
-32000/69092 Loss: 154.087
-35200/69092 Loss: 155.178
-38400/69092 Loss: 150.814
-41600/69092 Loss: 153.138
-44800/69092 Loss: 151.443
-48000/69092 Loss: 150.927
-51200/69092 Loss: 151.618
-54400/69092 Loss: 153.429
-57600/69092 Loss: 153.643
-60800/69092 Loss: 152.830
-64000/69092 Loss: 152.977
-67200/69092 Loss: 151.568
-Training time 0:05:02.439395
-Epoch: 109 Average loss: 152.36
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 111)
-0/69092 Loss: 160.520
-3200/69092 Loss: 153.134
-6400/69092 Loss: 151.785
-9600/69092 Loss: 151.450
-12800/69092 Loss: 153.406
-16000/69092 Loss: 150.892
-19200/69092 Loss: 152.349
-22400/69092 Loss: 151.413
-25600/69092 Loss: 155.517
-28800/69092 Loss: 154.485
-32000/69092 Loss: 154.868
-35200/69092 Loss: 153.424
-38400/69092 Loss: 153.438
-41600/69092 Loss: 152.351
-44800/69092 Loss: 154.254
-48000/69092 Loss: 151.103
-51200/69092 Loss: 152.773
-54400/69092 Loss: 149.550
-57600/69092 Loss: 152.296
-60800/69092 Loss: 151.777
-64000/69092 Loss: 151.505
-67200/69092 Loss: 151.820
-Training time 0:05:06.358995
-Epoch: 110 Average loss: 152.60
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 112)
-0/69092 Loss: 144.156
-3200/69092 Loss: 152.230
-6400/69092 Loss: 151.840
-9600/69092 Loss: 153.787
-12800/69092 Loss: 151.389
-16000/69092 Loss: 154.197
-19200/69092 Loss: 154.010
-22400/69092 Loss: 153.567
-25600/69092 Loss: 151.977
-28800/69092 Loss: 151.630
-32000/69092 Loss: 148.550
-35200/69092 Loss: 154.312
-38400/69092 Loss: 154.578
-41600/69092 Loss: 153.901
-44800/69092 Loss: 150.806
-48000/69092 Loss: 150.984
-51200/69092 Loss: 154.965
-54400/69092 Loss: 152.275
-57600/69092 Loss: 149.143
-60800/69092 Loss: 149.454
-64000/69092 Loss: 151.215
-67200/69092 Loss: 151.462
-Training time 0:05:02.575174
-Epoch: 111 Average loss: 152.20
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 113)
-0/69092 Loss: 137.242
-3200/69092 Loss: 154.129
-6400/69092 Loss: 152.299
-9600/69092 Loss: 151.966
-12800/69092 Loss: 154.456
-16000/69092 Loss: 154.436
-19200/69092 Loss: 152.158
-22400/69092 Loss: 150.708
-25600/69092 Loss: 152.748
-28800/69092 Loss: 151.616
-32000/69092 Loss: 151.754
-35200/69092 Loss: 149.865
-38400/69092 Loss: 152.191
-41600/69092 Loss: 152.820
-44800/69092 Loss: 150.216
-48000/69092 Loss: 149.721
-51200/69092 Loss: 152.029
-54400/69092 Loss: 155.722
-57600/69092 Loss: 151.542
-60800/69092 Loss: 152.518
-64000/69092 Loss: 154.387
-67200/69092 Loss: 151.074
-Training time 0:05:02.396935
-Epoch: 112 Average loss: 152.31
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 114)
-0/69092 Loss: 165.902
-3200/69092 Loss: 150.377
-6400/69092 Loss: 151.814
-9600/69092 Loss: 153.642
-12800/69092 Loss: 151.890
-16000/69092 Loss: 153.804
-19200/69092 Loss: 150.675
-22400/69092 Loss: 153.077
-25600/69092 Loss: 152.290
-28800/69092 Loss: 155.946
-32000/69092 Loss: 151.610
-35200/69092 Loss: 152.848
-38400/69092 Loss: 151.772
-41600/69092 Loss: 150.248
-44800/69092 Loss: 153.183
-48000/69092 Loss: 151.950
-51200/69092 Loss: 153.444
-54400/69092 Loss: 154.098
-57600/69092 Loss: 153.529
-60800/69092 Loss: 150.748
-64000/69092 Loss: 152.207
-67200/69092 Loss: 151.174
-Training time 0:05:00.621314
-Epoch: 113 Average loss: 152.43
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 115)
-0/69092 Loss: 147.808
-3200/69092 Loss: 153.776
-6400/69092 Loss: 151.598
-9600/69092 Loss: 148.984
-12800/69092 Loss: 154.844
-16000/69092 Loss: 155.733
-19200/69092 Loss: 154.050
-22400/69092 Loss: 150.272
-25600/69092 Loss: 150.759
-28800/69092 Loss: 153.905
-32000/69092 Loss: 155.563
-35200/69092 Loss: 152.909
-38400/69092 Loss: 151.906
-41600/69092 Loss: 149.198
-44800/69092 Loss: 151.171
-48000/69092 Loss: 154.471
-51200/69092 Loss: 151.954
-54400/69092 Loss: 149.824
-57600/69092 Loss: 153.078
-60800/69092 Loss: 149.280
-64000/69092 Loss: 152.360
-67200/69092 Loss: 153.188
-Training time 0:05:07.754681
-Epoch: 114 Average loss: 152.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 116)
-0/69092 Loss: 162.564
-3200/69092 Loss: 152.357
-6400/69092 Loss: 150.666
-9600/69092 Loss: 152.617
-12800/69092 Loss: 152.975
-16000/69092 Loss: 154.865
-19200/69092 Loss: 153.846
-22400/69092 Loss: 150.764
-25600/69092 Loss: 150.878
-28800/69092 Loss: 150.933
-32000/69092 Loss: 152.093
-35200/69092 Loss: 152.873
-38400/69092 Loss: 152.629
-41600/69092 Loss: 151.633
-44800/69092 Loss: 151.503
-48000/69092 Loss: 152.399
-51200/69092 Loss: 154.762
-54400/69092 Loss: 153.077
-57600/69092 Loss: 149.121
-60800/69092 Loss: 151.332
-64000/69092 Loss: 154.033
-67200/69092 Loss: 151.749
-Training time 0:05:02.491970
-Epoch: 115 Average loss: 152.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 117)
-0/69092 Loss: 143.778
-3200/69092 Loss: 151.167
-6400/69092 Loss: 149.055
-9600/69092 Loss: 154.806
-12800/69092 Loss: 151.053
-16000/69092 Loss: 151.978
-19200/69092 Loss: 153.226
-22400/69092 Loss: 152.385
-25600/69092 Loss: 154.677
-28800/69092 Loss: 150.408
-32000/69092 Loss: 152.199
-35200/69092 Loss: 152.255
-38400/69092 Loss: 154.065
-41600/69092 Loss: 150.001
-44800/69092 Loss: 152.624
-48000/69092 Loss: 151.635
-51200/69092 Loss: 153.096
-54400/69092 Loss: 155.753
-57600/69092 Loss: 152.518
-60800/69092 Loss: 153.385
-64000/69092 Loss: 150.671
-67200/69092 Loss: 149.546
-Training time 0:05:04.539182
-Epoch: 116 Average loss: 152.24
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 118)
-0/69092 Loss: 145.364
-3200/69092 Loss: 155.135
-6400/69092 Loss: 149.908
-9600/69092 Loss: 151.907
-12800/69092 Loss: 148.680
-16000/69092 Loss: 151.505
-19200/69092 Loss: 152.239
-22400/69092 Loss: 151.608
-25600/69092 Loss: 149.992
-28800/69092 Loss: 152.539
-32000/69092 Loss: 155.070
-35200/69092 Loss: 151.357
-38400/69092 Loss: 154.963
-41600/69092 Loss: 151.068
-44800/69092 Loss: 154.297
-48000/69092 Loss: 152.450
-51200/69092 Loss: 152.996
-54400/69092 Loss: 149.902
-57600/69092 Loss: 153.720
-60800/69092 Loss: 152.241
-64000/69092 Loss: 152.892
-67200/69092 Loss: 152.491
-Training time 0:05:04.691764
-Epoch: 117 Average loss: 152.29
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 119)
-0/69092 Loss: 158.828
-3200/69092 Loss: 153.695
-6400/69092 Loss: 154.094
-9600/69092 Loss: 150.939
-12800/69092 Loss: 153.622
-16000/69092 Loss: 152.381
-19200/69092 Loss: 149.955
-22400/69092 Loss: 149.864
-25600/69092 Loss: 153.791
-28800/69092 Loss: 150.729
-32000/69092 Loss: 152.179
-35200/69092 Loss: 150.721
-38400/69092 Loss: 151.006
-41600/69092 Loss: 150.271
-44800/69092 Loss: 149.664
-48000/69092 Loss: 152.665
-51200/69092 Loss: 151.087
-54400/69092 Loss: 153.225
-57600/69092 Loss: 157.378
-60800/69092 Loss: 152.752
-64000/69092 Loss: 155.546
-67200/69092 Loss: 153.239
-Training time 0:05:11.812518
-Epoch: 118 Average loss: 152.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_20/checkpoints/last' (iter 120)
-0/69092 Loss: 156.434
-3200/69092 Loss: 151.044
-6400/69092 Loss: 152.033
-9600/69092 Loss: 152.175
-12800/69092 Loss: 153.270
-16000/69092 Loss: 154.147
diff --git a/OAR.2068290.stderr b/OAR.2068290.stderr
deleted file mode 100644
index 2c95ab0472..0000000000
--- a/OAR.2068290.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 02:59:26] Job 2068290 KILLED ##
diff --git a/OAR.2068290.stdout b/OAR.2068290.stdout
deleted file mode 100644
index 37eedf7207..0000000000
--- a/OAR.2068290.stdout
+++ /dev/null
@@ -1,2690 +0,0 @@
-Namespace(batch_size=64, beta=4, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='beta_VAE_bs_64_ls_5', gpu_devices=[0, 1], is_beta_VAE=True, latent_name='', latent_spec_cont=5, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/beta_VAE_bs_64_ls_5
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=10, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=5, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 761485
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last (iter 2)'
-0/69092 Loss: 206.284
-3200/69092 Loss: 191.772
-6400/69092 Loss: 186.580
-9600/69092 Loss: 187.553
-12800/69092 Loss: 179.883
-16000/69092 Loss: 182.176
-19200/69092 Loss: 187.932
-22400/69092 Loss: 184.194
-25600/69092 Loss: 180.651
-28800/69092 Loss: 178.819
-32000/69092 Loss: 175.748
-35200/69092 Loss: 185.757
-38400/69092 Loss: 184.852
-41600/69092 Loss: 178.318
-44800/69092 Loss: 180.974
-48000/69092 Loss: 176.737
-51200/69092 Loss: 184.122
-54400/69092 Loss: 177.643
-57600/69092 Loss: 179.564
-60800/69092 Loss: 179.818
-64000/69092 Loss: 178.485
-67200/69092 Loss: 180.491
-Training time 0:05:42.886828
-Epoch: 1 Average loss: 181.99
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 3)
-0/69092 Loss: 185.484
-3200/69092 Loss: 177.918
-6400/69092 Loss: 178.950
-9600/69092 Loss: 175.949
-12800/69092 Loss: 180.625
-16000/69092 Loss: 179.795
-19200/69092 Loss: 176.926
-22400/69092 Loss: 177.637
-25600/69092 Loss: 182.322
-28800/69092 Loss: 175.535
-32000/69092 Loss: 179.663
-35200/69092 Loss: 178.396
-38400/69092 Loss: 177.509
-41600/69092 Loss: 178.524
-44800/69092 Loss: 180.868
-48000/69092 Loss: 179.206
-51200/69092 Loss: 175.411
-54400/69092 Loss: 175.164
-57600/69092 Loss: 175.484
-60800/69092 Loss: 177.437
-64000/69092 Loss: 183.367
-67200/69092 Loss: 175.420
-Training time 0:05:50.560333
-Epoch: 2 Average loss: 178.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 4)
-0/69092 Loss: 165.081
-3200/69092 Loss: 177.282
-6400/69092 Loss: 177.009
-9600/69092 Loss: 175.280
-12800/69092 Loss: 173.575
-16000/69092 Loss: 177.322
-19200/69092 Loss: 173.360
-22400/69092 Loss: 179.046
-25600/69092 Loss: 179.528
-28800/69092 Loss: 179.841
-32000/69092 Loss: 175.505
-35200/69092 Loss: 173.406
-38400/69092 Loss: 178.157
-41600/69092 Loss: 181.415
-44800/69092 Loss: 177.471
-48000/69092 Loss: 178.392
-51200/69092 Loss: 179.621
-54400/69092 Loss: 179.774
-57600/69092 Loss: 179.728
-60800/69092 Loss: 176.719
-64000/69092 Loss: 177.497
-67200/69092 Loss: 174.821
-Training time 0:06:03.416294
-Epoch: 3 Average loss: 177.34
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 5)
-0/69092 Loss: 177.347
-3200/69092 Loss: 176.306
-6400/69092 Loss: 174.916
-9600/69092 Loss: 178.468
-12800/69092 Loss: 175.838
-16000/69092 Loss: 179.554
-19200/69092 Loss: 175.765
-22400/69092 Loss: 178.247
-25600/69092 Loss: 173.473
-28800/69092 Loss: 177.255
-32000/69092 Loss: 175.557
-35200/69092 Loss: 177.057
-38400/69092 Loss: 176.364
-41600/69092 Loss: 177.415
-44800/69092 Loss: 176.233
-48000/69092 Loss: 176.041
-51200/69092 Loss: 177.231
-54400/69092 Loss: 177.484
-57600/69092 Loss: 177.772
-60800/69092 Loss: 179.202
-64000/69092 Loss: 177.597
-67200/69092 Loss: 176.004
-Training time 0:05:43.414806
-Epoch: 4 Average loss: 176.76
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 6)
-0/69092 Loss: 192.912
-3200/69092 Loss: 177.919
-6400/69092 Loss: 176.670
-9600/69092 Loss: 176.543
-12800/69092 Loss: 176.900
-16000/69092 Loss: 173.263
-19200/69092 Loss: 177.434
-22400/69092 Loss: 174.874
-25600/69092 Loss: 178.713
-28800/69092 Loss: 174.574
-32000/69092 Loss: 174.557
-35200/69092 Loss: 178.241
-38400/69092 Loss: 174.689
-41600/69092 Loss: 174.315
-44800/69092 Loss: 178.442
-48000/69092 Loss: 178.501
-51200/69092 Loss: 176.855
-54400/69092 Loss: 175.434
-57600/69092 Loss: 176.113
-60800/69092 Loss: 177.818
-64000/69092 Loss: 172.621
-67200/69092 Loss: 176.531
-Training time 0:05:29.381799
-Epoch: 5 Average loss: 176.25
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 7)
-0/69092 Loss: 185.043
-3200/69092 Loss: 172.702
-6400/69092 Loss: 179.136
-9600/69092 Loss: 176.406
-12800/69092 Loss: 175.405
-16000/69092 Loss: 175.605
-19200/69092 Loss: 174.544
-22400/69092 Loss: 172.518
-25600/69092 Loss: 175.201
-28800/69092 Loss: 173.957
-32000/69092 Loss: 178.255
-35200/69092 Loss: 175.895
-38400/69092 Loss: 174.356
-41600/69092 Loss: 174.803
-44800/69092 Loss: 175.339
-48000/69092 Loss: 177.531
-51200/69092 Loss: 173.707
-54400/69092 Loss: 174.617
-57600/69092 Loss: 179.951
-60800/69092 Loss: 176.160
-64000/69092 Loss: 177.427
-67200/69092 Loss: 174.210
-Training time 0:05:32.869675
-Epoch: 6 Average loss: 175.75
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 8)
-0/69092 Loss: 175.536
-3200/69092 Loss: 176.146
-6400/69092 Loss: 182.585
-9600/69092 Loss: 179.227
-12800/69092 Loss: 173.100
-16000/69092 Loss: 177.521
-19200/69092 Loss: 176.860
-22400/69092 Loss: 174.105
-25600/69092 Loss: 175.694
-28800/69092 Loss: 176.292
-32000/69092 Loss: 172.337
-35200/69092 Loss: 173.839
-38400/69092 Loss: 175.045
-41600/69092 Loss: 178.532
-44800/69092 Loss: 178.498
-48000/69092 Loss: 176.122
-51200/69092 Loss: 172.301
-54400/69092 Loss: 173.076
-57600/69092 Loss: 175.092
-60800/69092 Loss: 174.465
-64000/69092 Loss: 170.611
-67200/69092 Loss: 177.806
-Training time 0:05:26.216188
-Epoch: 7 Average loss: 175.80
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 9)
-0/69092 Loss: 185.987
-3200/69092 Loss: 178.445
-6400/69092 Loss: 170.073
-9600/69092 Loss: 174.401
-12800/69092 Loss: 179.827
-16000/69092 Loss: 175.722
-19200/69092 Loss: 174.884
-22400/69092 Loss: 174.974
-25600/69092 Loss: 172.651
-28800/69092 Loss: 172.641
-32000/69092 Loss: 178.871
-35200/69092 Loss: 173.840
-38400/69092 Loss: 175.191
-41600/69092 Loss: 175.336
-44800/69092 Loss: 177.951
-48000/69092 Loss: 172.772
-51200/69092 Loss: 177.344
-54400/69092 Loss: 174.130
-57600/69092 Loss: 173.331
-60800/69092 Loss: 176.248
-64000/69092 Loss: 174.978
-67200/69092 Loss: 175.957
-Training time 0:05:32.889948
-Epoch: 8 Average loss: 175.34
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 10)
-0/69092 Loss: 195.713
-3200/69092 Loss: 172.833
-6400/69092 Loss: 173.741
-9600/69092 Loss: 177.423
-12800/69092 Loss: 179.955
-16000/69092 Loss: 174.259
-19200/69092 Loss: 177.071
-22400/69092 Loss: 173.643
-25600/69092 Loss: 173.985
-28800/69092 Loss: 177.484
-32000/69092 Loss: 175.859
-35200/69092 Loss: 172.818
-38400/69092 Loss: 178.825
-41600/69092 Loss: 174.300
-44800/69092 Loss: 175.437
-48000/69092 Loss: 175.735
-51200/69092 Loss: 174.531
-54400/69092 Loss: 173.547
-57600/69092 Loss: 174.477
-60800/69092 Loss: 175.797
-64000/69092 Loss: 173.868
-67200/69092 Loss: 174.690
-Training time 0:05:29.560786
-Epoch: 9 Average loss: 175.34
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 11)
-0/69092 Loss: 173.612
-3200/69092 Loss: 174.081
-6400/69092 Loss: 174.155
-9600/69092 Loss: 173.137
-12800/69092 Loss: 176.574
-16000/69092 Loss: 177.726
-19200/69092 Loss: 174.834
-22400/69092 Loss: 175.774
-25600/69092 Loss: 176.048
-28800/69092 Loss: 176.829
-32000/69092 Loss: 175.205
-35200/69092 Loss: 175.138
-38400/69092 Loss: 174.141
-41600/69092 Loss: 173.852
-44800/69092 Loss: 175.199
-48000/69092 Loss: 179.661
-51200/69092 Loss: 174.070
-54400/69092 Loss: 173.991
-57600/69092 Loss: 172.956
-60800/69092 Loss: 173.462
-64000/69092 Loss: 176.472
-67200/69092 Loss: 173.347
-Training time 0:05:42.417051
-Epoch: 10 Average loss: 175.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 12)
-0/69092 Loss: 163.116
-3200/69092 Loss: 175.304
-6400/69092 Loss: 177.005
-9600/69092 Loss: 173.286
-12800/69092 Loss: 174.734
-16000/69092 Loss: 174.939
-19200/69092 Loss: 173.188
-22400/69092 Loss: 173.347
-25600/69092 Loss: 175.969
-28800/69092 Loss: 173.679
-32000/69092 Loss: 175.613
-35200/69092 Loss: 177.046
-38400/69092 Loss: 172.615
-41600/69092 Loss: 176.622
-44800/69092 Loss: 174.378
-48000/69092 Loss: 172.333
-51200/69092 Loss: 174.156
-54400/69092 Loss: 178.344
-57600/69092 Loss: 174.554
-60800/69092 Loss: 171.129
-64000/69092 Loss: 173.789
-67200/69092 Loss: 174.153
-Training time 0:05:38.281182
-Epoch: 11 Average loss: 174.53
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 13)
-0/69092 Loss: 167.593
-3200/69092 Loss: 172.577
-6400/69092 Loss: 175.898
-9600/69092 Loss: 173.126
-12800/69092 Loss: 174.301
-16000/69092 Loss: 173.796
-19200/69092 Loss: 176.480
-22400/69092 Loss: 176.278
-25600/69092 Loss: 174.386
-28800/69092 Loss: 175.487
-32000/69092 Loss: 172.144
-35200/69092 Loss: 168.589
-38400/69092 Loss: 178.079
-41600/69092 Loss: 178.203
-44800/69092 Loss: 172.678
-48000/69092 Loss: 175.696
-51200/69092 Loss: 173.820
-54400/69092 Loss: 172.014
-57600/69092 Loss: 174.640
-60800/69092 Loss: 177.710
-64000/69092 Loss: 175.304
-67200/69092 Loss: 171.286
-Training time 0:05:22.413960
-Epoch: 12 Average loss: 174.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 14)
-0/69092 Loss: 180.297
-3200/69092 Loss: 171.896
-6400/69092 Loss: 173.761
-9600/69092 Loss: 176.759
-12800/69092 Loss: 174.684
-16000/69092 Loss: 173.839
-19200/69092 Loss: 174.083
-22400/69092 Loss: 175.820
-25600/69092 Loss: 176.575
-28800/69092 Loss: 173.056
-32000/69092 Loss: 173.990
-35200/69092 Loss: 171.532
-38400/69092 Loss: 177.350
-41600/69092 Loss: 174.512
-44800/69092 Loss: 175.190
-48000/69092 Loss: 171.103
-51200/69092 Loss: 177.047
-54400/69092 Loss: 177.925
-57600/69092 Loss: 173.641
-60800/69092 Loss: 176.523
-64000/69092 Loss: 173.404
-67200/69092 Loss: 172.554
-Training time 0:05:33.331409
-Epoch: 13 Average loss: 174.60
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 15)
-0/69092 Loss: 190.760
-3200/69092 Loss: 172.674
-6400/69092 Loss: 172.813
-9600/69092 Loss: 173.694
-12800/69092 Loss: 175.784
-16000/69092 Loss: 175.043
-19200/69092 Loss: 176.451
-22400/69092 Loss: 172.945
-25600/69092 Loss: 172.757
-28800/69092 Loss: 177.959
-32000/69092 Loss: 172.057
-35200/69092 Loss: 173.982
-38400/69092 Loss: 174.324
-41600/69092 Loss: 173.081
-44800/69092 Loss: 177.249
-48000/69092 Loss: 173.428
-51200/69092 Loss: 175.714
-54400/69092 Loss: 173.761
-57600/69092 Loss: 172.590
-60800/69092 Loss: 175.677
-64000/69092 Loss: 172.918
-67200/69092 Loss: 173.185
-Training time 0:05:22.947126
-Epoch: 14 Average loss: 174.21
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 16)
-0/69092 Loss: 167.152
-3200/69092 Loss: 175.923
-6400/69092 Loss: 173.443
-9600/69092 Loss: 175.274
-12800/69092 Loss: 173.762
-16000/69092 Loss: 176.352
-19200/69092 Loss: 172.607
-22400/69092 Loss: 172.997
-25600/69092 Loss: 178.061
-28800/69092 Loss: 172.353
-32000/69092 Loss: 175.860
-35200/69092 Loss: 171.380
-38400/69092 Loss: 173.802
-41600/69092 Loss: 177.668
-44800/69092 Loss: 175.795
-48000/69092 Loss: 173.208
-51200/69092 Loss: 175.804
-54400/69092 Loss: 170.799
-57600/69092 Loss: 173.943
-60800/69092 Loss: 176.869
-64000/69092 Loss: 173.862
-67200/69092 Loss: 171.966
-Training time 0:05:44.882489
-Epoch: 15 Average loss: 174.33
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 17)
-0/69092 Loss: 175.757
-3200/69092 Loss: 175.039
-6400/69092 Loss: 173.789
-9600/69092 Loss: 176.758
-12800/69092 Loss: 176.867
-16000/69092 Loss: 176.634
-19200/69092 Loss: 172.219
-22400/69092 Loss: 171.303
-25600/69092 Loss: 171.701
-28800/69092 Loss: 173.745
-32000/69092 Loss: 173.220
-35200/69092 Loss: 172.173
-38400/69092 Loss: 174.064
-41600/69092 Loss: 173.507
-44800/69092 Loss: 174.430
-48000/69092 Loss: 175.702
-51200/69092 Loss: 168.808
-54400/69092 Loss: 175.641
-57600/69092 Loss: 170.829
-60800/69092 Loss: 177.189
-64000/69092 Loss: 171.159
-67200/69092 Loss: 175.589
-Training time 0:05:51.200178
-Epoch: 16 Average loss: 173.88
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 18)
-0/69092 Loss: 158.718
-3200/69092 Loss: 173.612
-6400/69092 Loss: 177.566
-9600/69092 Loss: 174.291
-12800/69092 Loss: 169.936
-16000/69092 Loss: 170.902
-19200/69092 Loss: 177.548
-22400/69092 Loss: 174.334
-25600/69092 Loss: 175.364
-28800/69092 Loss: 173.103
-32000/69092 Loss: 176.042
-35200/69092 Loss: 177.162
-38400/69092 Loss: 176.477
-41600/69092 Loss: 173.526
-44800/69092 Loss: 171.050
-48000/69092 Loss: 175.433
-51200/69092 Loss: 173.217
-54400/69092 Loss: 173.919
-57600/69092 Loss: 173.317
-60800/69092 Loss: 171.425
-64000/69092 Loss: 172.770
-67200/69092 Loss: 171.839
-Training time 0:05:37.227078
-Epoch: 17 Average loss: 173.91
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 19)
-0/69092 Loss: 175.521
-3200/69092 Loss: 169.495
-6400/69092 Loss: 175.040
-9600/69092 Loss: 174.591
-12800/69092 Loss: 173.541
-16000/69092 Loss: 174.730
-19200/69092 Loss: 176.340
-22400/69092 Loss: 170.779
-25600/69092 Loss: 174.685
-28800/69092 Loss: 173.111
-32000/69092 Loss: 175.287
-35200/69092 Loss: 177.107
-38400/69092 Loss: 173.228
-41600/69092 Loss: 173.567
-44800/69092 Loss: 174.867
-48000/69092 Loss: 176.990
-51200/69092 Loss: 176.325
-54400/69092 Loss: 172.071
-57600/69092 Loss: 169.826
-60800/69092 Loss: 176.096
-64000/69092 Loss: 171.550
-67200/69092 Loss: 174.078
-Training time 0:06:00.896832
-Epoch: 18 Average loss: 173.96
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 20)
-0/69092 Loss: 181.706
-3200/69092 Loss: 174.942
-6400/69092 Loss: 174.335
-9600/69092 Loss: 175.405
-12800/69092 Loss: 174.920
-16000/69092 Loss: 174.579
-19200/69092 Loss: 174.273
-22400/69092 Loss: 175.236
-25600/69092 Loss: 172.553
-28800/69092 Loss: 173.624
-32000/69092 Loss: 173.970
-35200/69092 Loss: 174.625
-38400/69092 Loss: 176.944
-41600/69092 Loss: 177.543
-44800/69092 Loss: 171.156
-48000/69092 Loss: 175.112
-51200/69092 Loss: 168.709
-54400/69092 Loss: 173.187
-57600/69092 Loss: 173.014
-60800/69092 Loss: 173.705
-64000/69092 Loss: 172.995
-67200/69092 Loss: 172.727
-Training time 0:05:33.461102
-Epoch: 19 Average loss: 173.94
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 21)
-0/69092 Loss: 181.324
-3200/69092 Loss: 175.460
-6400/69092 Loss: 173.600
-9600/69092 Loss: 172.653
-12800/69092 Loss: 176.877
-16000/69092 Loss: 173.990
-19200/69092 Loss: 175.041
-22400/69092 Loss: 173.715
-25600/69092 Loss: 174.660
-28800/69092 Loss: 174.793
-32000/69092 Loss: 174.699
-35200/69092 Loss: 170.826
-38400/69092 Loss: 173.354
-41600/69092 Loss: 172.968
-44800/69092 Loss: 171.330
-48000/69092 Loss: 173.645
-51200/69092 Loss: 173.527
-54400/69092 Loss: 174.024
-57600/69092 Loss: 172.847
-60800/69092 Loss: 170.919
-64000/69092 Loss: 173.528
-67200/69092 Loss: 176.333
-Training time 0:05:41.627131
-Epoch: 20 Average loss: 173.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 22)
-0/69092 Loss: 175.522
-3200/69092 Loss: 171.681
-6400/69092 Loss: 174.306
-9600/69092 Loss: 173.824
-12800/69092 Loss: 173.190
-16000/69092 Loss: 177.138
-19200/69092 Loss: 173.399
-22400/69092 Loss: 175.519
-25600/69092 Loss: 174.662
-28800/69092 Loss: 173.911
-32000/69092 Loss: 171.048
-35200/69092 Loss: 172.223
-38400/69092 Loss: 173.460
-41600/69092 Loss: 175.998
-44800/69092 Loss: 173.967
-48000/69092 Loss: 172.762
-51200/69092 Loss: 174.501
-54400/69092 Loss: 174.181
-57600/69092 Loss: 174.943
-60800/69092 Loss: 170.237
-64000/69092 Loss: 177.731
-67200/69092 Loss: 175.039
-Training time 0:05:32.326405
-Epoch: 21 Average loss: 174.01
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 23)
-0/69092 Loss: 169.470
-3200/69092 Loss: 173.431
-6400/69092 Loss: 173.364
-9600/69092 Loss: 173.243
-12800/69092 Loss: 175.181
-16000/69092 Loss: 172.482
-19200/69092 Loss: 172.325
-22400/69092 Loss: 170.139
-25600/69092 Loss: 174.497
-28800/69092 Loss: 178.208
-32000/69092 Loss: 171.218
-35200/69092 Loss: 173.980
-38400/69092 Loss: 177.087
-41600/69092 Loss: 175.343
-44800/69092 Loss: 171.970
-48000/69092 Loss: 177.428
-51200/69092 Loss: 172.604
-54400/69092 Loss: 173.524
-57600/69092 Loss: 175.285
-60800/69092 Loss: 169.347
-64000/69092 Loss: 175.777
-67200/69092 Loss: 173.082
-Training time 0:05:41.385094
-Epoch: 22 Average loss: 173.72
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 24)
-0/69092 Loss: 170.264
-3200/69092 Loss: 175.610
-6400/69092 Loss: 173.777
-9600/69092 Loss: 174.105
-12800/69092 Loss: 173.542
-16000/69092 Loss: 173.334
-19200/69092 Loss: 170.956
-22400/69092 Loss: 177.598
-25600/69092 Loss: 176.880
-28800/69092 Loss: 172.293
-32000/69092 Loss: 174.877
-35200/69092 Loss: 171.622
-38400/69092 Loss: 172.211
-41600/69092 Loss: 172.787
-44800/69092 Loss: 176.438
-48000/69092 Loss: 173.580
-51200/69092 Loss: 173.973
-54400/69092 Loss: 174.231
-57600/69092 Loss: 176.727
-60800/69092 Loss: 172.584
-64000/69092 Loss: 171.992
-67200/69092 Loss: 172.850
-Training time 0:05:31.432612
-Epoch: 23 Average loss: 173.84
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 25)
-0/69092 Loss: 192.459
-3200/69092 Loss: 174.192
-6400/69092 Loss: 172.172
-9600/69092 Loss: 173.914
-12800/69092 Loss: 173.817
-16000/69092 Loss: 175.222
-19200/69092 Loss: 174.602
-22400/69092 Loss: 170.613
-25600/69092 Loss: 173.318
-28800/69092 Loss: 174.815
-32000/69092 Loss: 173.949
-35200/69092 Loss: 173.028
-38400/69092 Loss: 173.344
-41600/69092 Loss: 172.672
-44800/69092 Loss: 173.504
-48000/69092 Loss: 176.420
-51200/69092 Loss: 173.166
-54400/69092 Loss: 172.663
-57600/69092 Loss: 173.213
-60800/69092 Loss: 173.389
-64000/69092 Loss: 174.746
-67200/69092 Loss: 173.229
-Training time 0:05:41.747589
-Epoch: 24 Average loss: 173.78
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 26)
-0/69092 Loss: 187.258
-3200/69092 Loss: 174.271
-6400/69092 Loss: 169.356
-9600/69092 Loss: 173.209
-12800/69092 Loss: 171.349
-16000/69092 Loss: 176.658
-19200/69092 Loss: 175.129
-22400/69092 Loss: 169.299
-25600/69092 Loss: 176.399
-28800/69092 Loss: 177.179
-32000/69092 Loss: 175.130
-35200/69092 Loss: 175.582
-38400/69092 Loss: 171.445
-41600/69092 Loss: 173.623
-44800/69092 Loss: 173.105
-48000/69092 Loss: 174.830
-51200/69092 Loss: 173.433
-54400/69092 Loss: 174.068
-57600/69092 Loss: 172.694
-60800/69092 Loss: 172.232
-64000/69092 Loss: 170.319
-67200/69092 Loss: 175.323
-Training time 0:05:48.043514
-Epoch: 25 Average loss: 173.56
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 27)
-0/69092 Loss: 159.018
-3200/69092 Loss: 174.298
-6400/69092 Loss: 172.624
-9600/69092 Loss: 173.771
-12800/69092 Loss: 171.477
-16000/69092 Loss: 176.488
-19200/69092 Loss: 177.637
-22400/69092 Loss: 174.962
-25600/69092 Loss: 173.725
-28800/69092 Loss: 175.619
-32000/69092 Loss: 172.961
-35200/69092 Loss: 169.719
-38400/69092 Loss: 173.452
-41600/69092 Loss: 174.124
-44800/69092 Loss: 174.044
-48000/69092 Loss: 171.758
-51200/69092 Loss: 173.624
-54400/69092 Loss: 172.592
-57600/69092 Loss: 171.208
-60800/69092 Loss: 176.300
-64000/69092 Loss: 174.036
-67200/69092 Loss: 173.975
-Training time 0:05:29.049309
-Epoch: 26 Average loss: 173.78
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 28)
-0/69092 Loss: 160.580
-3200/69092 Loss: 175.324
-6400/69092 Loss: 174.976
-9600/69092 Loss: 174.375
-12800/69092 Loss: 173.432
-16000/69092 Loss: 173.015
-19200/69092 Loss: 174.784
-22400/69092 Loss: 170.553
-25600/69092 Loss: 174.186
-28800/69092 Loss: 178.069
-32000/69092 Loss: 175.331
-35200/69092 Loss: 177.122
-38400/69092 Loss: 173.582
-41600/69092 Loss: 170.883
-44800/69092 Loss: 168.975
-48000/69092 Loss: 171.320
-51200/69092 Loss: 171.969
-54400/69092 Loss: 171.927
-57600/69092 Loss: 175.958
-60800/69092 Loss: 177.487
-64000/69092 Loss: 171.726
-67200/69092 Loss: 173.001
-Training time 0:05:40.474273
-Epoch: 27 Average loss: 173.70
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 29)
-0/69092 Loss: 186.247
-3200/69092 Loss: 172.054
-6400/69092 Loss: 174.711
-9600/69092 Loss: 173.377
-12800/69092 Loss: 174.325
-16000/69092 Loss: 171.554
-19200/69092 Loss: 170.114
-22400/69092 Loss: 172.368
-25600/69092 Loss: 178.603
-28800/69092 Loss: 172.321
-32000/69092 Loss: 175.067
-35200/69092 Loss: 172.821
-38400/69092 Loss: 173.497
-41600/69092 Loss: 170.781
-44800/69092 Loss: 172.645
-48000/69092 Loss: 174.624
-51200/69092 Loss: 174.692
-54400/69092 Loss: 174.437
-57600/69092 Loss: 173.175
-60800/69092 Loss: 175.592
-64000/69092 Loss: 176.727
-67200/69092 Loss: 171.446
-Training time 0:05:54.306120
-Epoch: 28 Average loss: 173.55
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 30)
-0/69092 Loss: 177.635
-3200/69092 Loss: 176.320
-6400/69092 Loss: 173.105
-9600/69092 Loss: 173.753
-12800/69092 Loss: 173.966
-16000/69092 Loss: 173.023
-19200/69092 Loss: 177.296
-22400/69092 Loss: 171.875
-25600/69092 Loss: 172.370
-28800/69092 Loss: 171.588
-32000/69092 Loss: 174.452
-35200/69092 Loss: 172.140
-38400/69092 Loss: 172.938
-41600/69092 Loss: 171.031
-44800/69092 Loss: 174.442
-48000/69092 Loss: 169.778
-51200/69092 Loss: 175.924
-54400/69092 Loss: 172.634
-57600/69092 Loss: 173.484
-60800/69092 Loss: 175.750
-64000/69092 Loss: 174.191
-67200/69092 Loss: 172.983
-Training time 0:05:23.217377
-Epoch: 29 Average loss: 173.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 31)
-0/69092 Loss: 177.443
-3200/69092 Loss: 172.360
-6400/69092 Loss: 171.361
-9600/69092 Loss: 171.755
-12800/69092 Loss: 174.928
-16000/69092 Loss: 174.394
-19200/69092 Loss: 174.640
-22400/69092 Loss: 171.706
-25600/69092 Loss: 174.741
-28800/69092 Loss: 172.728
-32000/69092 Loss: 175.243
-35200/69092 Loss: 170.282
-38400/69092 Loss: 173.597
-41600/69092 Loss: 175.927
-44800/69092 Loss: 171.773
-48000/69092 Loss: 172.405
-51200/69092 Loss: 176.730
-54400/69092 Loss: 176.713
-57600/69092 Loss: 172.287
-60800/69092 Loss: 173.667
-64000/69092 Loss: 172.699
-67200/69092 Loss: 174.272
-Training time 0:05:40.304543
-Epoch: 30 Average loss: 173.62
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 32)
-0/69092 Loss: 191.708
-3200/69092 Loss: 173.430
-6400/69092 Loss: 173.703
-9600/69092 Loss: 171.621
-12800/69092 Loss: 175.206
-16000/69092 Loss: 173.444
-19200/69092 Loss: 173.582
-22400/69092 Loss: 172.806
-25600/69092 Loss: 175.794
-28800/69092 Loss: 171.370
-32000/69092 Loss: 172.763
-35200/69092 Loss: 173.796
-38400/69092 Loss: 172.945
-41600/69092 Loss: 171.384
-44800/69092 Loss: 174.757
-48000/69092 Loss: 173.012
-51200/69092 Loss: 173.523
-54400/69092 Loss: 177.514
-57600/69092 Loss: 174.484
-60800/69092 Loss: 173.689
-64000/69092 Loss: 175.510
-67200/69092 Loss: 171.662
-Training time 0:05:25.356098
-Epoch: 31 Average loss: 173.58
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 33)
-0/69092 Loss: 196.864
-3200/69092 Loss: 174.341
-6400/69092 Loss: 173.206
-9600/69092 Loss: 175.148
-12800/69092 Loss: 174.531
-16000/69092 Loss: 173.104
-19200/69092 Loss: 174.909
-22400/69092 Loss: 171.156
-25600/69092 Loss: 172.036
-28800/69092 Loss: 173.442
-32000/69092 Loss: 172.939
-35200/69092 Loss: 173.429
-38400/69092 Loss: 174.354
-41600/69092 Loss: 174.152
-44800/69092 Loss: 173.010
-48000/69092 Loss: 173.626
-51200/69092 Loss: 169.262
-54400/69092 Loss: 170.032
-57600/69092 Loss: 178.830
-60800/69092 Loss: 176.600
-64000/69092 Loss: 172.144
-67200/69092 Loss: 172.936
-Training time 0:05:23.495012
-Epoch: 32 Average loss: 173.53
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 34)
-0/69092 Loss: 166.554
-3200/69092 Loss: 174.301
-6400/69092 Loss: 173.805
-9600/69092 Loss: 171.245
-12800/69092 Loss: 174.749
-16000/69092 Loss: 175.356
-19200/69092 Loss: 173.674
-22400/69092 Loss: 171.741
-25600/69092 Loss: 174.273
-28800/69092 Loss: 174.210
-32000/69092 Loss: 171.078
-35200/69092 Loss: 175.898
-38400/69092 Loss: 178.527
-41600/69092 Loss: 174.504
-44800/69092 Loss: 174.795
-48000/69092 Loss: 171.500
-51200/69092 Loss: 173.709
-54400/69092 Loss: 171.968
-57600/69092 Loss: 174.119
-60800/69092 Loss: 175.209
-64000/69092 Loss: 171.790
-67200/69092 Loss: 173.900
-Training time 0:05:39.295017
-Epoch: 33 Average loss: 173.71
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 35)
-0/69092 Loss: 186.714
-3200/69092 Loss: 176.883
-6400/69092 Loss: 172.812
-9600/69092 Loss: 171.623
-12800/69092 Loss: 174.599
-16000/69092 Loss: 173.348
-19200/69092 Loss: 173.608
-22400/69092 Loss: 172.481
-25600/69092 Loss: 175.913
-28800/69092 Loss: 174.323
-32000/69092 Loss: 172.932
-35200/69092 Loss: 172.995
-38400/69092 Loss: 173.248
-41600/69092 Loss: 172.981
-44800/69092 Loss: 172.659
-48000/69092 Loss: 173.360
-51200/69092 Loss: 171.643
-54400/69092 Loss: 173.445
-57600/69092 Loss: 174.796
-60800/69092 Loss: 174.537
-64000/69092 Loss: 173.874
-67200/69092 Loss: 172.268
-Training time 0:05:44.055745
-Epoch: 34 Average loss: 173.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 36)
-0/69092 Loss: 164.509
-3200/69092 Loss: 169.188
-6400/69092 Loss: 173.661
-9600/69092 Loss: 172.126
-12800/69092 Loss: 175.549
-16000/69092 Loss: 173.874
-19200/69092 Loss: 174.934
-22400/69092 Loss: 172.382
-25600/69092 Loss: 171.855
-28800/69092 Loss: 172.607
-32000/69092 Loss: 174.699
-35200/69092 Loss: 170.735
-38400/69092 Loss: 172.636
-41600/69092 Loss: 174.432
-44800/69092 Loss: 171.385
-48000/69092 Loss: 176.124
-51200/69092 Loss: 172.042
-54400/69092 Loss: 175.066
-57600/69092 Loss: 174.499
-60800/69092 Loss: 174.652
-64000/69092 Loss: 173.362
-67200/69092 Loss: 176.318
-Training time 0:05:29.571042
-Epoch: 35 Average loss: 173.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 37)
-0/69092 Loss: 184.585
-3200/69092 Loss: 175.565
-6400/69092 Loss: 172.125
-9600/69092 Loss: 170.228
-12800/69092 Loss: 171.469
-16000/69092 Loss: 172.525
-19200/69092 Loss: 173.128
-22400/69092 Loss: 172.829
-25600/69092 Loss: 173.167
-28800/69092 Loss: 170.336
-32000/69092 Loss: 175.812
-35200/69092 Loss: 173.563
-38400/69092 Loss: 177.054
-41600/69092 Loss: 173.328
-44800/69092 Loss: 173.700
-48000/69092 Loss: 173.092
-51200/69092 Loss: 172.745
-54400/69092 Loss: 170.423
-57600/69092 Loss: 172.372
-60800/69092 Loss: 171.590
-64000/69092 Loss: 175.804
-67200/69092 Loss: 171.773
-Training time 0:05:51.309468
-Epoch: 36 Average loss: 173.09
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 38)
-0/69092 Loss: 173.427
-3200/69092 Loss: 173.175
-6400/69092 Loss: 172.144
-9600/69092 Loss: 173.344
-12800/69092 Loss: 174.643
-16000/69092 Loss: 178.121
-19200/69092 Loss: 173.095
-22400/69092 Loss: 174.251
-25600/69092 Loss: 172.400
-28800/69092 Loss: 174.409
-32000/69092 Loss: 177.024
-35200/69092 Loss: 171.541
-38400/69092 Loss: 175.171
-41600/69092 Loss: 171.738
-44800/69092 Loss: 174.493
-48000/69092 Loss: 173.316
-51200/69092 Loss: 170.099
-54400/69092 Loss: 173.562
-57600/69092 Loss: 170.568
-60800/69092 Loss: 172.148
-64000/69092 Loss: 173.017
-67200/69092 Loss: 173.565
-Training time 0:05:40.488864
-Epoch: 37 Average loss: 173.56
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 39)
-0/69092 Loss: 186.108
-3200/69092 Loss: 170.907
-6400/69092 Loss: 173.202
-9600/69092 Loss: 178.612
-12800/69092 Loss: 171.577
-16000/69092 Loss: 172.614
-19200/69092 Loss: 173.740
-22400/69092 Loss: 176.534
-25600/69092 Loss: 174.375
-28800/69092 Loss: 173.829
-32000/69092 Loss: 171.273
-35200/69092 Loss: 172.430
-38400/69092 Loss: 172.139
-41600/69092 Loss: 171.459
-44800/69092 Loss: 174.351
-48000/69092 Loss: 173.663
-51200/69092 Loss: 174.352
-54400/69092 Loss: 170.678
-57600/69092 Loss: 170.146
-60800/69092 Loss: 173.981
-64000/69092 Loss: 174.069
-67200/69092 Loss: 171.602
-Training time 0:05:40.008656
-Epoch: 38 Average loss: 173.15
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 40)
-0/69092 Loss: 187.263
-3200/69092 Loss: 174.044
-6400/69092 Loss: 171.880
-9600/69092 Loss: 170.916
-12800/69092 Loss: 172.835
-16000/69092 Loss: 169.904
-19200/69092 Loss: 173.127
-22400/69092 Loss: 172.923
-25600/69092 Loss: 175.621
-28800/69092 Loss: 177.994
-32000/69092 Loss: 172.789
-35200/69092 Loss: 174.507
-38400/69092 Loss: 174.986
-41600/69092 Loss: 171.516
-44800/69092 Loss: 170.562
-48000/69092 Loss: 174.539
-51200/69092 Loss: 173.680
-54400/69092 Loss: 172.400
-57600/69092 Loss: 172.262
-60800/69092 Loss: 174.315
-64000/69092 Loss: 171.795
-67200/69092 Loss: 173.152
-Training time 0:05:33.916960
-Epoch: 39 Average loss: 173.26
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 41)
-0/69092 Loss: 180.096
-3200/69092 Loss: 174.381
-6400/69092 Loss: 170.518
-9600/69092 Loss: 172.870
-12800/69092 Loss: 172.021
-16000/69092 Loss: 172.750
-19200/69092 Loss: 170.749
-22400/69092 Loss: 172.568
-25600/69092 Loss: 175.968
-28800/69092 Loss: 172.411
-32000/69092 Loss: 176.875
-35200/69092 Loss: 171.088
-38400/69092 Loss: 172.786
-41600/69092 Loss: 177.546
-44800/69092 Loss: 174.277
-48000/69092 Loss: 175.076
-51200/69092 Loss: 170.425
-54400/69092 Loss: 172.672
-57600/69092 Loss: 177.248
-60800/69092 Loss: 173.309
-64000/69092 Loss: 170.583
-67200/69092 Loss: 173.451
-Training time 0:05:47.549711
-Epoch: 40 Average loss: 173.44
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 42)
-0/69092 Loss: 166.892
-3200/69092 Loss: 169.907
-6400/69092 Loss: 174.729
-9600/69092 Loss: 174.300
-12800/69092 Loss: 171.541
-16000/69092 Loss: 169.615
-19200/69092 Loss: 171.974
-22400/69092 Loss: 170.669
-25600/69092 Loss: 175.969
-28800/69092 Loss: 173.754
-32000/69092 Loss: 172.225
-35200/69092 Loss: 172.512
-38400/69092 Loss: 173.071
-41600/69092 Loss: 170.008
-44800/69092 Loss: 171.252
-48000/69092 Loss: 170.339
-51200/69092 Loss: 172.338
-54400/69092 Loss: 174.364
-57600/69092 Loss: 173.408
-60800/69092 Loss: 170.907
-64000/69092 Loss: 172.668
-67200/69092 Loss: 173.325
-Training time 0:05:35.665365
-Epoch: 41 Average loss: 172.28
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 43)
-0/69092 Loss: 183.274
-3200/69092 Loss: 172.073
-6400/69092 Loss: 175.359
-9600/69092 Loss: 170.925
-12800/69092 Loss: 174.301
-16000/69092 Loss: 172.649
-19200/69092 Loss: 170.175
-22400/69092 Loss: 171.567
-25600/69092 Loss: 170.073
-28800/69092 Loss: 170.343
-32000/69092 Loss: 166.742
-35200/69092 Loss: 172.750
-38400/69092 Loss: 171.848
-41600/69092 Loss: 171.209
-44800/69092 Loss: 169.259
-48000/69092 Loss: 174.016
-51200/69092 Loss: 171.689
-54400/69092 Loss: 168.837
-57600/69092 Loss: 168.469
-60800/69092 Loss: 169.180
-64000/69092 Loss: 174.771
-67200/69092 Loss: 173.935
-Training time 0:05:54.282279
-Epoch: 42 Average loss: 171.47
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 44)
-0/69092 Loss: 167.563
-3200/69092 Loss: 167.655
-6400/69092 Loss: 170.149
-9600/69092 Loss: 171.828
-12800/69092 Loss: 172.133
-16000/69092 Loss: 171.540
-19200/69092 Loss: 166.793
-22400/69092 Loss: 171.767
-25600/69092 Loss: 171.824
-28800/69092 Loss: 169.961
-32000/69092 Loss: 172.404
-35200/69092 Loss: 171.086
-38400/69092 Loss: 171.440
-41600/69092 Loss: 171.000
-44800/69092 Loss: 167.727
-48000/69092 Loss: 168.990
-51200/69092 Loss: 169.421
-54400/69092 Loss: 171.666
-57600/69092 Loss: 172.731
-60800/69092 Loss: 168.360
-64000/69092 Loss: 169.549
-67200/69092 Loss: 170.794
-Training time 0:05:54.221089
-Epoch: 43 Average loss: 170.41
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 45)
-0/69092 Loss: 173.246
-3200/69092 Loss: 171.212
-6400/69092 Loss: 171.112
-9600/69092 Loss: 171.287
-12800/69092 Loss: 173.460
-16000/69092 Loss: 170.604
-19200/69092 Loss: 170.470
-22400/69092 Loss: 169.744
-25600/69092 Loss: 169.659
-28800/69092 Loss: 170.463
-32000/69092 Loss: 167.962
-35200/69092 Loss: 168.192
-38400/69092 Loss: 169.308
-41600/69092 Loss: 166.174
-44800/69092 Loss: 167.972
-48000/69092 Loss: 167.101
-51200/69092 Loss: 168.082
-54400/69092 Loss: 168.402
-57600/69092 Loss: 167.455
-60800/69092 Loss: 168.489
-64000/69092 Loss: 168.424
-67200/69092 Loss: 166.649
-Training time 0:05:42.435056
-Epoch: 44 Average loss: 169.13
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 46)
-0/69092 Loss: 153.235
-3200/69092 Loss: 167.863
-6400/69092 Loss: 168.738
-9600/69092 Loss: 170.254
-12800/69092 Loss: 165.962
-16000/69092 Loss: 169.147
-19200/69092 Loss: 165.075
-22400/69092 Loss: 166.501
-25600/69092 Loss: 167.458
-28800/69092 Loss: 170.880
-32000/69092 Loss: 166.437
-35200/69092 Loss: 166.887
-38400/69092 Loss: 169.201
-41600/69092 Loss: 167.544
-44800/69092 Loss: 167.635
-48000/69092 Loss: 164.696
-51200/69092 Loss: 167.352
-54400/69092 Loss: 168.781
-57600/69092 Loss: 169.274
-60800/69092 Loss: 170.615
-64000/69092 Loss: 167.813
-67200/69092 Loss: 167.527
-Training time 0:05:32.692638
-Epoch: 45 Average loss: 167.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 47)
-0/69092 Loss: 157.577
-3200/69092 Loss: 168.256
-6400/69092 Loss: 170.025
-9600/69092 Loss: 170.829
-12800/69092 Loss: 164.074
-16000/69092 Loss: 167.900
-19200/69092 Loss: 168.318
-22400/69092 Loss: 167.668
-25600/69092 Loss: 165.187
-28800/69092 Loss: 164.678
-32000/69092 Loss: 167.627
-35200/69092 Loss: 165.355
-38400/69092 Loss: 165.897
-41600/69092 Loss: 167.423
-44800/69092 Loss: 166.143
-48000/69092 Loss: 165.399
-51200/69092 Loss: 166.400
-54400/69092 Loss: 165.740
-57600/69092 Loss: 167.359
-60800/69092 Loss: 167.019
-64000/69092 Loss: 164.991
-67200/69092 Loss: 165.534
-Training time 0:05:40.355541
-Epoch: 46 Average loss: 166.73
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 48)
-0/69092 Loss: 167.794
-3200/69092 Loss: 166.358
-6400/69092 Loss: 167.976
-9600/69092 Loss: 161.915
-12800/69092 Loss: 170.618
-16000/69092 Loss: 169.478
-19200/69092 Loss: 168.012
-22400/69092 Loss: 168.640
-25600/69092 Loss: 166.508
-28800/69092 Loss: 164.664
-32000/69092 Loss: 165.563
-35200/69092 Loss: 165.242
-38400/69092 Loss: 165.173
-41600/69092 Loss: 166.427
-44800/69092 Loss: 164.840
-48000/69092 Loss: 164.091
-51200/69092 Loss: 165.624
-54400/69092 Loss: 167.620
-57600/69092 Loss: 167.491
-60800/69092 Loss: 167.892
-64000/69092 Loss: 166.079
-67200/69092 Loss: 165.601
-Training time 0:05:39.830287
-Epoch: 47 Average loss: 166.56
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 49)
-0/69092 Loss: 160.000
-3200/69092 Loss: 168.413
-6400/69092 Loss: 166.428
-9600/69092 Loss: 167.653
-12800/69092 Loss: 166.982
-16000/69092 Loss: 167.007
-19200/69092 Loss: 166.679
-22400/69092 Loss: 166.577
-25600/69092 Loss: 165.914
-28800/69092 Loss: 165.350
-32000/69092 Loss: 164.527
-35200/69092 Loss: 164.677
-38400/69092 Loss: 169.371
-41600/69092 Loss: 165.501
-44800/69092 Loss: 165.035
-48000/69092 Loss: 167.083
-51200/69092 Loss: 165.342
-54400/69092 Loss: 168.917
-57600/69092 Loss: 164.038
-60800/69092 Loss: 162.979
-64000/69092 Loss: 163.487
-67200/69092 Loss: 165.938
-Training time 0:05:38.988145
-Epoch: 48 Average loss: 166.13
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 50)
-0/69092 Loss: 154.051
-3200/69092 Loss: 168.800
-6400/69092 Loss: 164.603
-9600/69092 Loss: 168.144
-12800/69092 Loss: 166.208
-16000/69092 Loss: 167.659
-19200/69092 Loss: 162.595
-22400/69092 Loss: 166.029
-25600/69092 Loss: 169.441
-28800/69092 Loss: 164.896
-32000/69092 Loss: 163.644
-35200/69092 Loss: 169.101
-38400/69092 Loss: 164.853
-41600/69092 Loss: 166.421
-44800/69092 Loss: 166.245
-48000/69092 Loss: 166.465
-51200/69092 Loss: 165.259
-54400/69092 Loss: 164.067
-57600/69092 Loss: 165.839
-60800/69092 Loss: 165.805
-64000/69092 Loss: 164.429
-67200/69092 Loss: 165.264
-Training time 0:05:57.260261
-Epoch: 49 Average loss: 165.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 51)
-0/69092 Loss: 181.015
-3200/69092 Loss: 164.637
-6400/69092 Loss: 164.384
-9600/69092 Loss: 166.718
-12800/69092 Loss: 167.925
-16000/69092 Loss: 164.983
-19200/69092 Loss: 166.862
-22400/69092 Loss: 164.006
-25600/69092 Loss: 168.377
-28800/69092 Loss: 164.324
-32000/69092 Loss: 163.546
-35200/69092 Loss: 164.518
-38400/69092 Loss: 163.273
-41600/69092 Loss: 162.711
-44800/69092 Loss: 167.412
-48000/69092 Loss: 166.993
-51200/69092 Loss: 166.282
-54400/69092 Loss: 167.241
-57600/69092 Loss: 162.450
-60800/69092 Loss: 165.818
-64000/69092 Loss: 164.673
-67200/69092 Loss: 167.188
-Training time 0:05:50.119307
-Epoch: 50 Average loss: 165.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 52)
-0/69092 Loss: 198.353
-3200/69092 Loss: 168.760
-6400/69092 Loss: 163.387
-9600/69092 Loss: 165.692
-12800/69092 Loss: 164.378
-16000/69092 Loss: 166.856
-19200/69092 Loss: 165.326
-22400/69092 Loss: 164.655
-25600/69092 Loss: 164.794
-28800/69092 Loss: 165.226
-32000/69092 Loss: 166.955
-35200/69092 Loss: 161.901
-38400/69092 Loss: 164.587
-41600/69092 Loss: 164.124
-44800/69092 Loss: 166.599
-48000/69092 Loss: 163.628
-51200/69092 Loss: 166.996
-54400/69092 Loss: 166.418
-57600/69092 Loss: 165.492
-60800/69092 Loss: 165.077
-64000/69092 Loss: 162.775
-67200/69092 Loss: 166.733
-Training time 0:05:36.376033
-Epoch: 51 Average loss: 165.16
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 53)
-0/69092 Loss: 143.459
-3200/69092 Loss: 163.731
-6400/69092 Loss: 163.375
-9600/69092 Loss: 168.696
-12800/69092 Loss: 165.597
-16000/69092 Loss: 165.569
-19200/69092 Loss: 166.215
-22400/69092 Loss: 167.393
-25600/69092 Loss: 167.570
-28800/69092 Loss: 163.246
-32000/69092 Loss: 166.556
-35200/69092 Loss: 162.497
-38400/69092 Loss: 166.182
-41600/69092 Loss: 167.587
-44800/69092 Loss: 161.856
-48000/69092 Loss: 163.982
-51200/69092 Loss: 165.737
-54400/69092 Loss: 163.250
-57600/69092 Loss: 165.125
-60800/69092 Loss: 163.595
-64000/69092 Loss: 162.587
-67200/69092 Loss: 165.027
-Training time 0:05:40.020361
-Epoch: 52 Average loss: 165.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 54)
-0/69092 Loss: 150.567
-3200/69092 Loss: 166.590
-6400/69092 Loss: 166.091
-9600/69092 Loss: 162.325
-12800/69092 Loss: 165.441
-16000/69092 Loss: 162.639
-19200/69092 Loss: 166.093
-22400/69092 Loss: 163.996
-25600/69092 Loss: 164.310
-28800/69092 Loss: 165.598
-32000/69092 Loss: 165.352
-35200/69092 Loss: 163.505
-38400/69092 Loss: 163.557
-41600/69092 Loss: 165.363
-44800/69092 Loss: 167.443
-48000/69092 Loss: 163.115
-51200/69092 Loss: 164.136
-54400/69092 Loss: 169.178
-57600/69092 Loss: 161.254
-60800/69092 Loss: 165.040
-64000/69092 Loss: 163.431
-67200/69092 Loss: 163.072
-Training time 0:05:34.292027
-Epoch: 53 Average loss: 164.64
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 55)
-0/69092 Loss: 179.397
-3200/69092 Loss: 169.331
-6400/69092 Loss: 165.416
-9600/69092 Loss: 163.820
-12800/69092 Loss: 164.717
-16000/69092 Loss: 167.858
-19200/69092 Loss: 165.986
-22400/69092 Loss: 162.102
-25600/69092 Loss: 162.791
-28800/69092 Loss: 162.377
-32000/69092 Loss: 161.870
-35200/69092 Loss: 164.394
-38400/69092 Loss: 167.809
-41600/69092 Loss: 162.293
-44800/69092 Loss: 164.169
-48000/69092 Loss: 163.266
-51200/69092 Loss: 164.188
-54400/69092 Loss: 164.553
-57600/69092 Loss: 163.790
-60800/69092 Loss: 163.379
-64000/69092 Loss: 163.940
-67200/69092 Loss: 163.795
-Training time 0:05:52.653168
-Epoch: 54 Average loss: 164.30
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 56)
-0/69092 Loss: 158.589
-3200/69092 Loss: 164.807
-6400/69092 Loss: 161.015
-9600/69092 Loss: 162.975
-12800/69092 Loss: 164.167
-16000/69092 Loss: 162.519
-19200/69092 Loss: 166.933
-22400/69092 Loss: 162.555
-25600/69092 Loss: 163.479
-28800/69092 Loss: 163.457
-32000/69092 Loss: 167.122
-35200/69092 Loss: 165.168
-38400/69092 Loss: 162.780
-41600/69092 Loss: 162.968
-44800/69092 Loss: 162.150
-48000/69092 Loss: 164.946
-51200/69092 Loss: 163.820
-54400/69092 Loss: 164.089
-57600/69092 Loss: 163.518
-60800/69092 Loss: 162.881
-64000/69092 Loss: 159.904
-67200/69092 Loss: 162.548
-Training time 0:05:52.862775
-Epoch: 55 Average loss: 163.54
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 57)
-0/69092 Loss: 150.236
-3200/69092 Loss: 162.965
-6400/69092 Loss: 161.524
-9600/69092 Loss: 165.274
-12800/69092 Loss: 162.213
-16000/69092 Loss: 162.425
-19200/69092 Loss: 163.687
-22400/69092 Loss: 161.616
-25600/69092 Loss: 160.336
-28800/69092 Loss: 166.733
-32000/69092 Loss: 165.842
-35200/69092 Loss: 164.410
-38400/69092 Loss: 164.495
-41600/69092 Loss: 164.165
-44800/69092 Loss: 160.374
-48000/69092 Loss: 160.507
-51200/69092 Loss: 161.214
-54400/69092 Loss: 162.758
-57600/69092 Loss: 163.086
-60800/69092 Loss: 163.382
-64000/69092 Loss: 161.542
-67200/69092 Loss: 160.924
-Training time 0:05:42.539817
-Epoch: 56 Average loss: 162.94
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 58)
-0/69092 Loss: 139.150
-3200/69092 Loss: 159.976
-6400/69092 Loss: 164.714
-9600/69092 Loss: 158.648
-12800/69092 Loss: 163.976
-16000/69092 Loss: 163.032
-19200/69092 Loss: 165.323
-22400/69092 Loss: 162.589
-25600/69092 Loss: 161.895
-28800/69092 Loss: 161.899
-32000/69092 Loss: 161.471
-35200/69092 Loss: 162.316
-38400/69092 Loss: 159.002
-41600/69092 Loss: 161.996
-44800/69092 Loss: 162.421
-48000/69092 Loss: 161.444
-51200/69092 Loss: 162.999
-54400/69092 Loss: 160.922
-57600/69092 Loss: 164.080
-60800/69092 Loss: 163.423
-64000/69092 Loss: 163.086
-67200/69092 Loss: 163.945
-Training time 0:05:46.353508
-Epoch: 57 Average loss: 162.38
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 59)
-0/69092 Loss: 178.841
-3200/69092 Loss: 162.692
-6400/69092 Loss: 159.783
-9600/69092 Loss: 160.010
-12800/69092 Loss: 163.379
-16000/69092 Loss: 160.886
-19200/69092 Loss: 162.199
-22400/69092 Loss: 162.560
-25600/69092 Loss: 168.001
-28800/69092 Loss: 161.574
-32000/69092 Loss: 160.602
-35200/69092 Loss: 160.272
-38400/69092 Loss: 158.592
-41600/69092 Loss: 162.144
-44800/69092 Loss: 161.838
-48000/69092 Loss: 164.109
-51200/69092 Loss: 162.542
-54400/69092 Loss: 158.274
-57600/69092 Loss: 159.163
-60800/69092 Loss: 163.266
-64000/69092 Loss: 162.224
-67200/69092 Loss: 165.458
-Training time 0:05:39.626714
-Epoch: 58 Average loss: 161.89
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 60)
-0/69092 Loss: 166.984
-3200/69092 Loss: 162.239
-6400/69092 Loss: 162.115
-9600/69092 Loss: 162.349
-12800/69092 Loss: 159.904
-16000/69092 Loss: 158.859
-19200/69092 Loss: 162.854
-22400/69092 Loss: 160.167
-25600/69092 Loss: 160.621
-28800/69092 Loss: 158.050
-32000/69092 Loss: 162.151
-35200/69092 Loss: 161.174
-38400/69092 Loss: 160.051
-41600/69092 Loss: 162.315
-44800/69092 Loss: 161.528
-48000/69092 Loss: 162.895
-51200/69092 Loss: 162.563
-54400/69092 Loss: 163.136
-57600/69092 Loss: 160.897
-60800/69092 Loss: 162.557
-64000/69092 Loss: 160.214
-67200/69092 Loss: 163.037
-Training time 0:05:33.048844
-Epoch: 59 Average loss: 161.45
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 61)
-0/69092 Loss: 149.507
-3200/69092 Loss: 160.715
-6400/69092 Loss: 161.707
-9600/69092 Loss: 161.779
-12800/69092 Loss: 160.168
-16000/69092 Loss: 160.552
-19200/69092 Loss: 159.908
-22400/69092 Loss: 161.218
-25600/69092 Loss: 163.683
-28800/69092 Loss: 159.321
-32000/69092 Loss: 159.532
-35200/69092 Loss: 159.671
-38400/69092 Loss: 161.547
-41600/69092 Loss: 158.484
-44800/69092 Loss: 159.405
-48000/69092 Loss: 161.779
-51200/69092 Loss: 159.974
-54400/69092 Loss: 162.963
-57600/69092 Loss: 160.340
-60800/69092 Loss: 161.868
-64000/69092 Loss: 158.539
-67200/69092 Loss: 160.137
-Training time 0:05:40.333830
-Epoch: 60 Average loss: 160.77
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 62)
-0/69092 Loss: 168.603
-3200/69092 Loss: 159.598
-6400/69092 Loss: 160.441
-9600/69092 Loss: 159.780
-12800/69092 Loss: 164.112
-16000/69092 Loss: 163.368
-19200/69092 Loss: 160.479
-22400/69092 Loss: 162.530
-25600/69092 Loss: 161.251
-28800/69092 Loss: 162.324
-32000/69092 Loss: 162.983
-35200/69092 Loss: 163.757
-38400/69092 Loss: 159.764
-41600/69092 Loss: 160.018
-44800/69092 Loss: 160.194
-48000/69092 Loss: 158.096
-51200/69092 Loss: 161.157
-54400/69092 Loss: 159.922
-57600/69092 Loss: 160.651
-60800/69092 Loss: 157.688
-64000/69092 Loss: 159.952
-67200/69092 Loss: 160.075
-Training time 0:05:45.995703
-Epoch: 61 Average loss: 160.82
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 63)
-0/69092 Loss: 164.432
-3200/69092 Loss: 159.754
-6400/69092 Loss: 159.381
-9600/69092 Loss: 161.880
-12800/69092 Loss: 161.369
-16000/69092 Loss: 157.463
-19200/69092 Loss: 161.791
-22400/69092 Loss: 159.944
-25600/69092 Loss: 160.871
-28800/69092 Loss: 162.126
-32000/69092 Loss: 162.310
-35200/69092 Loss: 161.692
-38400/69092 Loss: 162.270
-41600/69092 Loss: 158.490
-44800/69092 Loss: 162.484
-48000/69092 Loss: 158.736
-51200/69092 Loss: 158.702
-54400/69092 Loss: 160.241
-57600/69092 Loss: 160.938
-60800/69092 Loss: 158.529
-64000/69092 Loss: 161.997
-67200/69092 Loss: 161.102
-Training time 0:05:40.618788
-Epoch: 62 Average loss: 160.64
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 64)
-0/69092 Loss: 154.568
-3200/69092 Loss: 160.887
-6400/69092 Loss: 161.419
-9600/69092 Loss: 159.361
-12800/69092 Loss: 159.252
-16000/69092 Loss: 160.597
-19200/69092 Loss: 158.492
-22400/69092 Loss: 160.724
-25600/69092 Loss: 163.020
-28800/69092 Loss: 159.280
-32000/69092 Loss: 160.119
-35200/69092 Loss: 157.753
-38400/69092 Loss: 159.272
-41600/69092 Loss: 161.015
-44800/69092 Loss: 159.210
-48000/69092 Loss: 160.275
-51200/69092 Loss: 160.902
-54400/69092 Loss: 157.824
-57600/69092 Loss: 161.885
-60800/69092 Loss: 161.744
-64000/69092 Loss: 162.985
-67200/69092 Loss: 160.771
-Training time 0:05:53.095656
-Epoch: 63 Average loss: 160.34
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 65)
-0/69092 Loss: 172.859
-3200/69092 Loss: 162.614
-6400/69092 Loss: 159.534
-9600/69092 Loss: 161.002
-12800/69092 Loss: 162.184
-16000/69092 Loss: 160.792
-19200/69092 Loss: 160.219
-22400/69092 Loss: 161.261
-25600/69092 Loss: 161.704
-28800/69092 Loss: 157.483
-32000/69092 Loss: 159.020
-35200/69092 Loss: 161.533
-38400/69092 Loss: 158.825
-41600/69092 Loss: 158.501
-44800/69092 Loss: 159.131
-48000/69092 Loss: 159.244
-51200/69092 Loss: 160.231
-54400/69092 Loss: 160.575
-57600/69092 Loss: 159.540
-60800/69092 Loss: 160.942
-64000/69092 Loss: 160.067
-67200/69092 Loss: 162.011
-Training time 0:05:34.212499
-Epoch: 64 Average loss: 160.41
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 66)
-0/69092 Loss: 139.824
-3200/69092 Loss: 158.205
-6400/69092 Loss: 160.618
-9600/69092 Loss: 156.324
-12800/69092 Loss: 162.737
-16000/69092 Loss: 160.543
-19200/69092 Loss: 161.895
-22400/69092 Loss: 162.182
-25600/69092 Loss: 158.472
-28800/69092 Loss: 158.899
-32000/69092 Loss: 156.941
-35200/69092 Loss: 159.754
-38400/69092 Loss: 161.669
-41600/69092 Loss: 159.106
-44800/69092 Loss: 160.160
-48000/69092 Loss: 161.184
-51200/69092 Loss: 159.042
-54400/69092 Loss: 156.636
-57600/69092 Loss: 163.306
-60800/69092 Loss: 159.992
-64000/69092 Loss: 160.094
-67200/69092 Loss: 163.599
-Training time 0:05:32.575799
-Epoch: 65 Average loss: 160.05
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 67)
-0/69092 Loss: 155.559
-3200/69092 Loss: 162.071
-6400/69092 Loss: 158.085
-9600/69092 Loss: 163.591
-12800/69092 Loss: 160.074
-16000/69092 Loss: 162.083
-19200/69092 Loss: 160.218
-22400/69092 Loss: 160.989
-25600/69092 Loss: 160.541
-28800/69092 Loss: 156.759
-32000/69092 Loss: 157.632
-35200/69092 Loss: 160.790
-38400/69092 Loss: 158.259
-41600/69092 Loss: 161.889
-44800/69092 Loss: 162.124
-48000/69092 Loss: 159.639
-51200/69092 Loss: 159.816
-54400/69092 Loss: 157.599
-57600/69092 Loss: 160.068
-60800/69092 Loss: 160.466
-64000/69092 Loss: 160.161
-67200/69092 Loss: 161.598
-Training time 0:05:33.207884
-Epoch: 66 Average loss: 160.04
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 68)
-0/69092 Loss: 154.558
-3200/69092 Loss: 161.224
-6400/69092 Loss: 160.700
-9600/69092 Loss: 160.048
-12800/69092 Loss: 160.292
-16000/69092 Loss: 161.326
-19200/69092 Loss: 158.982
-22400/69092 Loss: 161.091
-25600/69092 Loss: 162.158
-28800/69092 Loss: 158.306
-32000/69092 Loss: 161.938
-35200/69092 Loss: 158.099
-38400/69092 Loss: 160.225
-41600/69092 Loss: 161.799
-44800/69092 Loss: 159.889
-48000/69092 Loss: 161.780
-51200/69092 Loss: 157.643
-54400/69092 Loss: 161.322
-57600/69092 Loss: 159.164
-60800/69092 Loss: 158.339
-64000/69092 Loss: 159.711
-67200/69092 Loss: 159.860
-Training time 0:05:33.566629
-Epoch: 67 Average loss: 160.19
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 69)
-0/69092 Loss: 169.675
-3200/69092 Loss: 160.542
-6400/69092 Loss: 158.814
-9600/69092 Loss: 160.833
-12800/69092 Loss: 163.534
-16000/69092 Loss: 158.616
-19200/69092 Loss: 157.820
-22400/69092 Loss: 162.494
-25600/69092 Loss: 159.611
-28800/69092 Loss: 159.206
-32000/69092 Loss: 163.601
-35200/69092 Loss: 160.216
-38400/69092 Loss: 158.062
-41600/69092 Loss: 160.071
-44800/69092 Loss: 161.188
-48000/69092 Loss: 161.149
-51200/69092 Loss: 159.584
-54400/69092 Loss: 158.012
-57600/69092 Loss: 159.519
-60800/69092 Loss: 160.839
-64000/69092 Loss: 160.357
-67200/69092 Loss: 160.408
-Training time 0:05:35.774903
-Epoch: 68 Average loss: 160.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 70)
-0/69092 Loss: 161.484
-3200/69092 Loss: 161.311
-6400/69092 Loss: 159.259
-9600/69092 Loss: 157.865
-12800/69092 Loss: 160.388
-16000/69092 Loss: 161.656
-19200/69092 Loss: 159.835
-22400/69092 Loss: 157.867
-25600/69092 Loss: 159.708
-28800/69092 Loss: 163.847
-32000/69092 Loss: 161.511
-35200/69092 Loss: 158.605
-38400/69092 Loss: 160.856
-41600/69092 Loss: 161.425
-44800/69092 Loss: 158.509
-48000/69092 Loss: 158.459
-51200/69092 Loss: 157.175
-54400/69092 Loss: 158.936
-57600/69092 Loss: 158.645
-60800/69092 Loss: 162.137
-64000/69092 Loss: 161.631
-67200/69092 Loss: 161.586
-Training time 0:05:45.968104
-Epoch: 69 Average loss: 160.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 71)
-0/69092 Loss: 164.481
-3200/69092 Loss: 159.260
-6400/69092 Loss: 161.784
-9600/69092 Loss: 160.517
-12800/69092 Loss: 159.791
-16000/69092 Loss: 157.795
-19200/69092 Loss: 159.406
-22400/69092 Loss: 158.184
-25600/69092 Loss: 157.690
-28800/69092 Loss: 159.254
-32000/69092 Loss: 160.635
-35200/69092 Loss: 162.649
-38400/69092 Loss: 160.130
-41600/69092 Loss: 159.409
-44800/69092 Loss: 160.040
-48000/69092 Loss: 159.570
-51200/69092 Loss: 160.380
-54400/69092 Loss: 158.930
-57600/69092 Loss: 161.539
-60800/69092 Loss: 158.730
-64000/69092 Loss: 160.679
-67200/69092 Loss: 159.969
-Training time 0:05:32.651529
-Epoch: 70 Average loss: 159.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 72)
-0/69092 Loss: 142.716
-3200/69092 Loss: 157.992
-6400/69092 Loss: 157.551
-9600/69092 Loss: 160.012
-12800/69092 Loss: 159.935
-16000/69092 Loss: 159.061
-19200/69092 Loss: 161.256
-22400/69092 Loss: 159.462
-25600/69092 Loss: 162.119
-28800/69092 Loss: 161.915
-32000/69092 Loss: 156.964
-35200/69092 Loss: 160.437
-38400/69092 Loss: 161.939
-41600/69092 Loss: 162.232
-44800/69092 Loss: 158.483
-48000/69092 Loss: 159.101
-51200/69092 Loss: 157.089
-54400/69092 Loss: 158.380
-57600/69092 Loss: 160.195
-60800/69092 Loss: 161.569
-64000/69092 Loss: 160.382
-67200/69092 Loss: 158.295
-Training time 0:05:31.268910
-Epoch: 71 Average loss: 159.72
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 73)
-0/69092 Loss: 144.982
-3200/69092 Loss: 158.636
-6400/69092 Loss: 159.587
-9600/69092 Loss: 158.902
-12800/69092 Loss: 158.461
-16000/69092 Loss: 160.561
-19200/69092 Loss: 158.414
-22400/69092 Loss: 159.442
-25600/69092 Loss: 155.782
-28800/69092 Loss: 159.598
-32000/69092 Loss: 160.719
-35200/69092 Loss: 160.212
-38400/69092 Loss: 158.779
-41600/69092 Loss: 160.444
-44800/69092 Loss: 160.412
-48000/69092 Loss: 160.666
-51200/69092 Loss: 159.817
-54400/69092 Loss: 159.676
-57600/69092 Loss: 157.572
-60800/69092 Loss: 159.114
-64000/69092 Loss: 164.526
-67200/69092 Loss: 160.948
-Training time 0:05:50.763759
-Epoch: 72 Average loss: 159.63
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 74)
-0/69092 Loss: 145.163
-3200/69092 Loss: 159.608
-6400/69092 Loss: 159.834
-9600/69092 Loss: 160.672
-12800/69092 Loss: 161.739
-16000/69092 Loss: 158.802
-19200/69092 Loss: 161.271
-22400/69092 Loss: 160.589
-25600/69092 Loss: 158.441
-28800/69092 Loss: 160.220
-32000/69092 Loss: 159.768
-35200/69092 Loss: 158.483
-38400/69092 Loss: 160.513
-41600/69092 Loss: 159.295
-44800/69092 Loss: 157.276
-48000/69092 Loss: 157.452
-51200/69092 Loss: 158.179
-54400/69092 Loss: 160.086
-57600/69092 Loss: 159.868
-60800/69092 Loss: 160.561
-64000/69092 Loss: 160.033
-67200/69092 Loss: 159.217
-Training time 0:05:27.953398
-Epoch: 73 Average loss: 159.64
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 75)
-0/69092 Loss: 182.593
-3200/69092 Loss: 157.735
-6400/69092 Loss: 162.623
-9600/69092 Loss: 157.961
-12800/69092 Loss: 156.636
-16000/69092 Loss: 159.952
-19200/69092 Loss: 159.249
-22400/69092 Loss: 161.514
-25600/69092 Loss: 155.918
-28800/69092 Loss: 158.620
-32000/69092 Loss: 158.486
-35200/69092 Loss: 160.225
-38400/69092 Loss: 161.200
-41600/69092 Loss: 158.838
-44800/69092 Loss: 161.555
-48000/69092 Loss: 160.739
-51200/69092 Loss: 157.590
-54400/69092 Loss: 157.939
-57600/69092 Loss: 159.183
-60800/69092 Loss: 161.986
-64000/69092 Loss: 157.023
-67200/69092 Loss: 161.347
-Training time 0:05:26.295751
-Epoch: 74 Average loss: 159.40
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 76)
-0/69092 Loss: 158.681
-3200/69092 Loss: 161.179
-6400/69092 Loss: 158.464
-9600/69092 Loss: 157.540
-12800/69092 Loss: 158.278
-16000/69092 Loss: 160.927
-19200/69092 Loss: 158.889
-22400/69092 Loss: 158.557
-25600/69092 Loss: 159.444
-28800/69092 Loss: 158.354
-32000/69092 Loss: 158.480
-35200/69092 Loss: 159.606
-38400/69092 Loss: 158.638
-41600/69092 Loss: 158.121
-44800/69092 Loss: 161.871
-48000/69092 Loss: 159.119
-51200/69092 Loss: 157.051
-54400/69092 Loss: 158.179
-57600/69092 Loss: 162.269
-60800/69092 Loss: 161.076
-64000/69092 Loss: 159.565
-67200/69092 Loss: 159.024
-Training time 0:05:37.460671
-Epoch: 75 Average loss: 159.33
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 77)
-0/69092 Loss: 180.183
-3200/69092 Loss: 161.326
-6400/69092 Loss: 156.454
-9600/69092 Loss: 158.102
-12800/69092 Loss: 160.033
-16000/69092 Loss: 157.371
-19200/69092 Loss: 158.610
-22400/69092 Loss: 161.016
-25600/69092 Loss: 158.187
-28800/69092 Loss: 158.732
-32000/69092 Loss: 158.551
-35200/69092 Loss: 164.114
-38400/69092 Loss: 158.244
-41600/69092 Loss: 160.820
-44800/69092 Loss: 161.380
-48000/69092 Loss: 160.957
-51200/69092 Loss: 160.380
-54400/69092 Loss: 159.550
-57600/69092 Loss: 159.288
-60800/69092 Loss: 159.340
-64000/69092 Loss: 159.191
-67200/69092 Loss: 160.314
-Training time 0:05:39.624340
-Epoch: 76 Average loss: 159.65
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 78)
-0/69092 Loss: 154.192
-3200/69092 Loss: 160.147
-6400/69092 Loss: 160.512
-9600/69092 Loss: 163.486
-12800/69092 Loss: 160.083
-16000/69092 Loss: 161.902
-19200/69092 Loss: 159.175
-22400/69092 Loss: 159.717
-25600/69092 Loss: 157.231
-28800/69092 Loss: 156.782
-32000/69092 Loss: 161.465
-35200/69092 Loss: 156.727
-38400/69092 Loss: 160.297
-41600/69092 Loss: 160.974
-44800/69092 Loss: 158.703
-48000/69092 Loss: 160.782
-51200/69092 Loss: 158.618
-54400/69092 Loss: 156.340
-57600/69092 Loss: 157.774
-60800/69092 Loss: 160.375
-64000/69092 Loss: 159.188
-67200/69092 Loss: 161.189
-Training time 0:05:34.005221
-Epoch: 77 Average loss: 159.61
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 79)
-0/69092 Loss: 163.315
-3200/69092 Loss: 159.521
-6400/69092 Loss: 157.050
-9600/69092 Loss: 158.928
-12800/69092 Loss: 159.364
-16000/69092 Loss: 160.024
-19200/69092 Loss: 159.391
-22400/69092 Loss: 160.335
-25600/69092 Loss: 158.621
-28800/69092 Loss: 159.980
-32000/69092 Loss: 157.115
-35200/69092 Loss: 158.873
-38400/69092 Loss: 162.329
-41600/69092 Loss: 161.074
-44800/69092 Loss: 157.698
-48000/69092 Loss: 158.620
-51200/69092 Loss: 160.713
-54400/69092 Loss: 158.261
-57600/69092 Loss: 160.761
-60800/69092 Loss: 161.576
-64000/69092 Loss: 159.373
-67200/69092 Loss: 160.216
-Training time 0:05:52.913169
-Epoch: 78 Average loss: 159.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 80)
-0/69092 Loss: 172.063
-3200/69092 Loss: 160.270
-6400/69092 Loss: 157.432
-9600/69092 Loss: 158.220
-12800/69092 Loss: 157.986
-16000/69092 Loss: 160.562
-19200/69092 Loss: 157.943
-22400/69092 Loss: 160.751
-25600/69092 Loss: 158.696
-28800/69092 Loss: 158.822
-32000/69092 Loss: 160.434
-35200/69092 Loss: 158.596
-38400/69092 Loss: 158.962
-41600/69092 Loss: 165.257
-44800/69092 Loss: 157.434
-48000/69092 Loss: 159.686
-51200/69092 Loss: 162.117
-54400/69092 Loss: 159.919
-57600/69092 Loss: 162.438
-60800/69092 Loss: 158.443
-64000/69092 Loss: 159.690
-67200/69092 Loss: 156.254
-Training time 0:05:32.739756
-Epoch: 79 Average loss: 159.49
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 81)
-0/69092 Loss: 156.964
-3200/69092 Loss: 161.015
-6400/69092 Loss: 156.071
-9600/69092 Loss: 159.688
-12800/69092 Loss: 157.272
-16000/69092 Loss: 160.853
-19200/69092 Loss: 162.442
-22400/69092 Loss: 159.761
-25600/69092 Loss: 159.435
-28800/69092 Loss: 162.287
-32000/69092 Loss: 160.241
-35200/69092 Loss: 158.339
-38400/69092 Loss: 159.539
-41600/69092 Loss: 158.518
-44800/69092 Loss: 162.535
-48000/69092 Loss: 157.626
-51200/69092 Loss: 158.148
-54400/69092 Loss: 156.977
-57600/69092 Loss: 160.558
-60800/69092 Loss: 159.007
-64000/69092 Loss: 158.975
-67200/69092 Loss: 160.422
-Training time 0:05:38.436039
-Epoch: 80 Average loss: 159.55
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 82)
-0/69092 Loss: 166.420
-3200/69092 Loss: 158.251
-6400/69092 Loss: 159.005
-9600/69092 Loss: 159.200
-12800/69092 Loss: 160.833
-16000/69092 Loss: 159.219
-19200/69092 Loss: 161.466
-22400/69092 Loss: 157.718
-25600/69092 Loss: 159.957
-28800/69092 Loss: 158.104
-32000/69092 Loss: 157.485
-35200/69092 Loss: 160.498
-38400/69092 Loss: 159.825
-41600/69092 Loss: 158.072
-44800/69092 Loss: 158.347
-48000/69092 Loss: 156.493
-51200/69092 Loss: 159.301
-54400/69092 Loss: 161.004
-57600/69092 Loss: 161.581
-60800/69092 Loss: 158.647
-64000/69092 Loss: 160.269
-67200/69092 Loss: 161.770
-Training time 0:05:37.385188
-Epoch: 81 Average loss: 159.47
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 83)
-0/69092 Loss: 147.358
-3200/69092 Loss: 158.292
-6400/69092 Loss: 157.895
-9600/69092 Loss: 159.892
-12800/69092 Loss: 158.760
-16000/69092 Loss: 159.902
-19200/69092 Loss: 157.565
-22400/69092 Loss: 159.770
-25600/69092 Loss: 161.968
-28800/69092 Loss: 160.955
-32000/69092 Loss: 159.616
-35200/69092 Loss: 160.013
-38400/69092 Loss: 159.763
-41600/69092 Loss: 157.884
-44800/69092 Loss: 160.106
-48000/69092 Loss: 157.624
-51200/69092 Loss: 160.414
-54400/69092 Loss: 156.007
-57600/69092 Loss: 162.964
-60800/69092 Loss: 158.520
-64000/69092 Loss: 159.945
-67200/69092 Loss: 160.523
-Training time 0:05:26.791158
-Epoch: 82 Average loss: 159.45
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 84)
-0/69092 Loss: 151.199
-3200/69092 Loss: 159.845
-6400/69092 Loss: 159.746
-9600/69092 Loss: 158.563
-12800/69092 Loss: 158.639
-16000/69092 Loss: 158.074
-19200/69092 Loss: 158.288
-22400/69092 Loss: 157.029
-25600/69092 Loss: 160.350
-28800/69092 Loss: 161.038
-32000/69092 Loss: 161.095
-35200/69092 Loss: 158.589
-38400/69092 Loss: 162.509
-41600/69092 Loss: 160.726
-44800/69092 Loss: 157.305
-48000/69092 Loss: 159.656
-51200/69092 Loss: 159.312
-54400/69092 Loss: 157.474
-57600/69092 Loss: 157.230
-60800/69092 Loss: 158.984
-64000/69092 Loss: 159.303
-67200/69092 Loss: 161.517
-Training time 0:05:48.321003
-Epoch: 83 Average loss: 159.27
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 85)
-0/69092 Loss: 167.506
-3200/69092 Loss: 158.734
-6400/69092 Loss: 154.474
-9600/69092 Loss: 158.548
-12800/69092 Loss: 159.065
-16000/69092 Loss: 161.150
-19200/69092 Loss: 156.751
-22400/69092 Loss: 161.333
-25600/69092 Loss: 158.619
-28800/69092 Loss: 159.785
-32000/69092 Loss: 158.721
-35200/69092 Loss: 160.114
-38400/69092 Loss: 159.841
-41600/69092 Loss: 158.137
-44800/69092 Loss: 161.397
-48000/69092 Loss: 157.815
-51200/69092 Loss: 159.810
-54400/69092 Loss: 159.795
-57600/69092 Loss: 162.666
-60800/69092 Loss: 160.183
-64000/69092 Loss: 161.473
-67200/69092 Loss: 161.339
-Training time 0:05:36.990551
-Epoch: 84 Average loss: 159.50
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 86)
-0/69092 Loss: 155.993
-3200/69092 Loss: 160.144
-6400/69092 Loss: 159.036
-9600/69092 Loss: 158.457
-12800/69092 Loss: 156.089
-16000/69092 Loss: 160.999
-19200/69092 Loss: 159.388
-22400/69092 Loss: 160.120
-25600/69092 Loss: 161.818
-28800/69092 Loss: 158.264
-32000/69092 Loss: 159.129
-35200/69092 Loss: 155.037
-38400/69092 Loss: 156.492
-41600/69092 Loss: 161.887
-44800/69092 Loss: 157.376
-48000/69092 Loss: 160.773
-51200/69092 Loss: 159.116
-54400/69092 Loss: 158.015
-57600/69092 Loss: 160.229
-60800/69092 Loss: 160.340
-64000/69092 Loss: 161.229
-67200/69092 Loss: 158.952
-Training time 0:06:00.143695
-Epoch: 85 Average loss: 159.23
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 87)
-0/69092 Loss: 155.338
-3200/69092 Loss: 156.856
-6400/69092 Loss: 159.420
-9600/69092 Loss: 158.050
-12800/69092 Loss: 156.955
-16000/69092 Loss: 161.199
-19200/69092 Loss: 161.122
-22400/69092 Loss: 160.793
-25600/69092 Loss: 160.091
-28800/69092 Loss: 157.460
-32000/69092 Loss: 158.015
-35200/69092 Loss: 160.317
-38400/69092 Loss: 162.705
-41600/69092 Loss: 156.314
-44800/69092 Loss: 157.986
-48000/69092 Loss: 157.577
-51200/69092 Loss: 157.721
-54400/69092 Loss: 160.059
-57600/69092 Loss: 159.799
-60800/69092 Loss: 159.100
-64000/69092 Loss: 160.676
-67200/69092 Loss: 161.405
-Training time 0:06:06.903945
-Epoch: 86 Average loss: 159.18
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 88)
-0/69092 Loss: 149.605
-3200/69092 Loss: 158.922
-6400/69092 Loss: 161.236
-9600/69092 Loss: 159.632
-12800/69092 Loss: 159.879
-16000/69092 Loss: 159.513
-19200/69092 Loss: 159.728
-22400/69092 Loss: 156.810
-25600/69092 Loss: 159.908
-28800/69092 Loss: 158.473
-32000/69092 Loss: 162.172
-35200/69092 Loss: 158.501
-38400/69092 Loss: 156.194
-41600/69092 Loss: 159.270
-44800/69092 Loss: 156.212
-48000/69092 Loss: 159.069
-51200/69092 Loss: 162.970
-54400/69092 Loss: 159.473
-57600/69092 Loss: 160.206
-60800/69092 Loss: 158.938
-64000/69092 Loss: 161.160
-67200/69092 Loss: 157.509
-Training time 0:05:50.139203
-Epoch: 87 Average loss: 159.35
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 89)
-0/69092 Loss: 177.011
-3200/69092 Loss: 160.157
-6400/69092 Loss: 157.318
-9600/69092 Loss: 157.788
-12800/69092 Loss: 159.433
-16000/69092 Loss: 161.363
-19200/69092 Loss: 160.101
-22400/69092 Loss: 158.566
-25600/69092 Loss: 158.240
-28800/69092 Loss: 158.962
-32000/69092 Loss: 160.175
-35200/69092 Loss: 160.883
-38400/69092 Loss: 163.155
-41600/69092 Loss: 161.841
-44800/69092 Loss: 158.269
-48000/69092 Loss: 156.448
-51200/69092 Loss: 157.790
-54400/69092 Loss: 157.862
-57600/69092 Loss: 156.747
-60800/69092 Loss: 158.219
-64000/69092 Loss: 158.478
-67200/69092 Loss: 161.865
-Training time 0:05:43.728689
-Epoch: 88 Average loss: 159.24
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 90)
-0/69092 Loss: 166.930
-3200/69092 Loss: 159.466
-6400/69092 Loss: 159.608
-9600/69092 Loss: 156.597
-12800/69092 Loss: 161.365
-16000/69092 Loss: 158.517
-19200/69092 Loss: 160.347
-22400/69092 Loss: 158.586
-25600/69092 Loss: 156.568
-28800/69092 Loss: 157.357
-32000/69092 Loss: 157.222
-35200/69092 Loss: 159.279
-38400/69092 Loss: 161.612
-41600/69092 Loss: 160.618
-44800/69092 Loss: 159.613
-48000/69092 Loss: 156.892
-51200/69092 Loss: 161.148
-54400/69092 Loss: 158.872
-57600/69092 Loss: 157.522
-60800/69092 Loss: 159.689
-64000/69092 Loss: 162.225
-67200/69092 Loss: 160.018
-Training time 0:05:50.054965
-Epoch: 89 Average loss: 159.20
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 91)
-0/69092 Loss: 163.660
-3200/69092 Loss: 160.243
-6400/69092 Loss: 160.221
-9600/69092 Loss: 159.913
-12800/69092 Loss: 159.190
-16000/69092 Loss: 159.877
-19200/69092 Loss: 157.558
-22400/69092 Loss: 156.779
-25600/69092 Loss: 160.367
-28800/69092 Loss: 159.827
-32000/69092 Loss: 157.915
-35200/69092 Loss: 159.848
-38400/69092 Loss: 162.339
-41600/69092 Loss: 159.374
-44800/69092 Loss: 158.487
-48000/69092 Loss: 157.560
-51200/69092 Loss: 157.324
-54400/69092 Loss: 162.203
-57600/69092 Loss: 159.657
-60800/69092 Loss: 156.430
-64000/69092 Loss: 158.719
-67200/69092 Loss: 161.346
-Training time 0:05:38.412112
-Epoch: 90 Average loss: 159.33
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 92)
-0/69092 Loss: 150.490
-3200/69092 Loss: 158.934
-6400/69092 Loss: 159.617
-9600/69092 Loss: 159.273
-12800/69092 Loss: 158.963
-16000/69092 Loss: 157.031
-19200/69092 Loss: 159.648
-22400/69092 Loss: 161.084
-25600/69092 Loss: 161.378
-28800/69092 Loss: 157.690
-32000/69092 Loss: 157.451
-35200/69092 Loss: 157.694
-38400/69092 Loss: 156.956
-41600/69092 Loss: 157.919
-44800/69092 Loss: 160.401
-48000/69092 Loss: 158.635
-51200/69092 Loss: 159.358
-54400/69092 Loss: 160.336
-57600/69092 Loss: 160.171
-60800/69092 Loss: 160.302
-64000/69092 Loss: 160.705
-67200/69092 Loss: 157.521
-Training time 0:05:28.990469
-Epoch: 91 Average loss: 159.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 93)
-0/69092 Loss: 145.606
-3200/69092 Loss: 157.411
-6400/69092 Loss: 158.385
-9600/69092 Loss: 161.953
-12800/69092 Loss: 162.363
-16000/69092 Loss: 160.688
-19200/69092 Loss: 159.999
-22400/69092 Loss: 160.088
-25600/69092 Loss: 157.191
-28800/69092 Loss: 157.325
-32000/69092 Loss: 157.672
-35200/69092 Loss: 157.772
-38400/69092 Loss: 159.461
-41600/69092 Loss: 158.805
-44800/69092 Loss: 160.401
-48000/69092 Loss: 159.929
-51200/69092 Loss: 155.478
-54400/69092 Loss: 159.072
-57600/69092 Loss: 160.275
-60800/69092 Loss: 158.119
-64000/69092 Loss: 155.665
-67200/69092 Loss: 162.841
-Training time 0:05:38.189466
-Epoch: 92 Average loss: 159.14
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 94)
-0/69092 Loss: 149.699
-3200/69092 Loss: 160.871
-6400/69092 Loss: 160.415
-9600/69092 Loss: 158.102
-12800/69092 Loss: 159.485
-16000/69092 Loss: 160.179
-19200/69092 Loss: 157.111
-22400/69092 Loss: 159.198
-25600/69092 Loss: 158.266
-28800/69092 Loss: 159.081
-32000/69092 Loss: 159.866
-35200/69092 Loss: 160.600
-38400/69092 Loss: 161.372
-41600/69092 Loss: 161.123
-44800/69092 Loss: 157.819
-48000/69092 Loss: 160.199
-51200/69092 Loss: 157.882
-54400/69092 Loss: 158.645
-57600/69092 Loss: 156.973
-60800/69092 Loss: 157.073
-64000/69092 Loss: 158.881
-67200/69092 Loss: 160.097
-Training time 0:05:51.833121
-Epoch: 93 Average loss: 159.22
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 95)
-0/69092 Loss: 184.254
-3200/69092 Loss: 159.065
-6400/69092 Loss: 159.760
-9600/69092 Loss: 159.856
-12800/69092 Loss: 161.118
-16000/69092 Loss: 158.212
-19200/69092 Loss: 160.134
-22400/69092 Loss: 158.819
-25600/69092 Loss: 159.705
-28800/69092 Loss: 157.535
-32000/69092 Loss: 158.722
-35200/69092 Loss: 158.514
-38400/69092 Loss: 160.212
-41600/69092 Loss: 156.201
-44800/69092 Loss: 160.091
-48000/69092 Loss: 161.874
-51200/69092 Loss: 157.687
-54400/69092 Loss: 160.520
-57600/69092 Loss: 158.559
-60800/69092 Loss: 159.642
-64000/69092 Loss: 157.527
-67200/69092 Loss: 157.909
-Training time 0:05:30.468429
-Epoch: 94 Average loss: 159.08
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 96)
-0/69092 Loss: 158.403
-3200/69092 Loss: 161.799
-6400/69092 Loss: 160.832
-9600/69092 Loss: 159.543
-12800/69092 Loss: 157.111
-16000/69092 Loss: 159.294
-19200/69092 Loss: 158.326
-22400/69092 Loss: 157.586
-25600/69092 Loss: 159.439
-28800/69092 Loss: 158.697
-32000/69092 Loss: 160.257
-35200/69092 Loss: 161.020
-38400/69092 Loss: 158.668
-41600/69092 Loss: 157.037
-44800/69092 Loss: 159.130
-48000/69092 Loss: 159.078
-51200/69092 Loss: 159.145
-54400/69092 Loss: 158.187
-57600/69092 Loss: 158.109
-60800/69092 Loss: 156.643
-64000/69092 Loss: 159.603
-67200/69092 Loss: 161.188
-Training time 0:05:38.293450
-Epoch: 95 Average loss: 159.00
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 97)
-0/69092 Loss: 168.477
-3200/69092 Loss: 161.501
-6400/69092 Loss: 159.521
-9600/69092 Loss: 158.598
-12800/69092 Loss: 156.909
-16000/69092 Loss: 161.964
-19200/69092 Loss: 157.111
-22400/69092 Loss: 162.194
-25600/69092 Loss: 159.024
-28800/69092 Loss: 158.036
-32000/69092 Loss: 160.642
-35200/69092 Loss: 156.836
-38400/69092 Loss: 158.410
-41600/69092 Loss: 159.573
-44800/69092 Loss: 160.553
-48000/69092 Loss: 159.129
-51200/69092 Loss: 160.196
-54400/69092 Loss: 158.417
-57600/69092 Loss: 161.815
-60800/69092 Loss: 156.995
-64000/69092 Loss: 154.083
-67200/69092 Loss: 158.133
-Training time 0:05:28.475772
-Epoch: 96 Average loss: 159.04
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 98)
-0/69092 Loss: 140.255
-3200/69092 Loss: 156.551
-6400/69092 Loss: 159.354
-9600/69092 Loss: 160.916
-12800/69092 Loss: 158.278
-16000/69092 Loss: 159.341
-19200/69092 Loss: 161.566
-22400/69092 Loss: 158.895
-25600/69092 Loss: 158.972
-28800/69092 Loss: 157.996
-32000/69092 Loss: 158.795
-35200/69092 Loss: 159.576
-38400/69092 Loss: 160.755
-41600/69092 Loss: 160.168
-44800/69092 Loss: 159.245
-48000/69092 Loss: 157.132
-51200/69092 Loss: 159.715
-54400/69092 Loss: 157.385
-57600/69092 Loss: 159.976
-60800/69092 Loss: 161.275
-64000/69092 Loss: 157.620
-67200/69092 Loss: 159.525
-Training time 0:05:40.654846
-Epoch: 97 Average loss: 159.14
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 99)
-0/69092 Loss: 153.552
-3200/69092 Loss: 157.359
-6400/69092 Loss: 156.474
-9600/69092 Loss: 157.425
-12800/69092 Loss: 157.220
-16000/69092 Loss: 160.235
-19200/69092 Loss: 158.997
-22400/69092 Loss: 159.980
-25600/69092 Loss: 159.940
-28800/69092 Loss: 156.694
-32000/69092 Loss: 160.209
-35200/69092 Loss: 156.144
-38400/69092 Loss: 161.132
-41600/69092 Loss: 160.131
-44800/69092 Loss: 160.084
-48000/69092 Loss: 161.853
-51200/69092 Loss: 157.055
-54400/69092 Loss: 161.999
-57600/69092 Loss: 160.006
-60800/69092 Loss: 159.206
-64000/69092 Loss: 157.588
-67200/69092 Loss: 157.070
-Training time 0:05:38.871933
-Epoch: 98 Average loss: 158.93
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 100)
-0/69092 Loss: 173.034
-3200/69092 Loss: 158.607
-6400/69092 Loss: 157.463
-9600/69092 Loss: 160.543
-12800/69092 Loss: 155.781
-16000/69092 Loss: 157.382
-19200/69092 Loss: 160.133
-22400/69092 Loss: 159.512
-25600/69092 Loss: 158.401
-28800/69092 Loss: 162.084
-32000/69092 Loss: 157.081
-35200/69092 Loss: 160.956
-38400/69092 Loss: 156.895
-41600/69092 Loss: 159.678
-44800/69092 Loss: 160.463
-48000/69092 Loss: 160.401
-51200/69092 Loss: 158.272
-54400/69092 Loss: 157.737
-57600/69092 Loss: 159.711
-60800/69092 Loss: 159.560
-64000/69092 Loss: 160.014
-67200/69092 Loss: 158.850
-Training time 0:05:35.589953
-Epoch: 99 Average loss: 158.99
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 101)
-0/69092 Loss: 167.127
-3200/69092 Loss: 158.691
-6400/69092 Loss: 160.346
-9600/69092 Loss: 158.123
-12800/69092 Loss: 161.401
-16000/69092 Loss: 155.992
-19200/69092 Loss: 155.775
-22400/69092 Loss: 157.855
-25600/69092 Loss: 157.884
-28800/69092 Loss: 158.127
-32000/69092 Loss: 157.958
-35200/69092 Loss: 157.580
-38400/69092 Loss: 159.400
-41600/69092 Loss: 159.374
-44800/69092 Loss: 159.242
-48000/69092 Loss: 159.683
-51200/69092 Loss: 161.591
-54400/69092 Loss: 160.516
-57600/69092 Loss: 163.235
-60800/69092 Loss: 157.712
-64000/69092 Loss: 158.136
-67200/69092 Loss: 160.390
-Training time 0:05:58.043103
-Epoch: 100 Average loss: 158.96
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 102)
-0/69092 Loss: 152.027
-3200/69092 Loss: 158.885
-6400/69092 Loss: 159.788
-9600/69092 Loss: 161.860
-12800/69092 Loss: 158.560
-16000/69092 Loss: 159.234
-19200/69092 Loss: 161.745
-22400/69092 Loss: 158.516
-25600/69092 Loss: 157.561
-28800/69092 Loss: 159.708
-32000/69092 Loss: 156.264
-35200/69092 Loss: 158.669
-38400/69092 Loss: 159.436
-41600/69092 Loss: 160.343
-44800/69092 Loss: 156.492
-48000/69092 Loss: 158.668
-51200/69092 Loss: 156.608
-54400/69092 Loss: 159.002
-57600/69092 Loss: 158.732
-60800/69092 Loss: 158.290
-64000/69092 Loss: 160.763
-67200/69092 Loss: 161.906
-Training time 0:05:35.318233
-Epoch: 101 Average loss: 159.11
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 103)
-0/69092 Loss: 157.941
-3200/69092 Loss: 159.008
-6400/69092 Loss: 157.562
-9600/69092 Loss: 159.699
-12800/69092 Loss: 161.177
-16000/69092 Loss: 159.552
-19200/69092 Loss: 158.248
-22400/69092 Loss: 159.358
-25600/69092 Loss: 158.911
-28800/69092 Loss: 159.869
-32000/69092 Loss: 159.056
-35200/69092 Loss: 161.017
-38400/69092 Loss: 157.137
-41600/69092 Loss: 157.186
-44800/69092 Loss: 163.476
-48000/69092 Loss: 157.922
-51200/69092 Loss: 159.202
-54400/69092 Loss: 156.061
-57600/69092 Loss: 159.155
-60800/69092 Loss: 161.382
-64000/69092 Loss: 156.198
-67200/69092 Loss: 159.163
-Training time 0:05:42.512486
-Epoch: 102 Average loss: 159.02
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 104)
-0/69092 Loss: 165.301
-3200/69092 Loss: 157.779
-6400/69092 Loss: 158.741
-9600/69092 Loss: 158.514
-12800/69092 Loss: 159.785
-16000/69092 Loss: 158.431
-19200/69092 Loss: 160.162
-22400/69092 Loss: 155.917
-25600/69092 Loss: 160.767
-28800/69092 Loss: 157.529
-32000/69092 Loss: 157.990
-35200/69092 Loss: 157.774
-38400/69092 Loss: 159.274
-41600/69092 Loss: 160.234
-44800/69092 Loss: 160.363
-48000/69092 Loss: 159.043
-51200/69092 Loss: 159.252
-54400/69092 Loss: 158.529
-57600/69092 Loss: 161.563
-60800/69092 Loss: 155.825
-64000/69092 Loss: 158.326
-67200/69092 Loss: 159.363
-Training time 0:05:38.708248
-Epoch: 103 Average loss: 158.85
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 105)
-0/69092 Loss: 162.340
-3200/69092 Loss: 159.264
-6400/69092 Loss: 158.435
-9600/69092 Loss: 159.761
-12800/69092 Loss: 158.671
-16000/69092 Loss: 159.417
-19200/69092 Loss: 159.279
-22400/69092 Loss: 158.103
-25600/69092 Loss: 158.076
-28800/69092 Loss: 161.202
-32000/69092 Loss: 158.187
-35200/69092 Loss: 161.701
-38400/69092 Loss: 157.858
-41600/69092 Loss: 159.545
-44800/69092 Loss: 161.386
-48000/69092 Loss: 160.321
-51200/69092 Loss: 157.574
-54400/69092 Loss: 155.936
-57600/69092 Loss: 157.492
-60800/69092 Loss: 159.926
-64000/69092 Loss: 159.998
-67200/69092 Loss: 159.038
-Training time 0:05:38.603309
-Epoch: 104 Average loss: 159.10
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 106)
-0/69092 Loss: 152.111
-3200/69092 Loss: 159.423
-6400/69092 Loss: 162.587
-9600/69092 Loss: 160.640
-12800/69092 Loss: 159.132
-16000/69092 Loss: 159.707
-19200/69092 Loss: 158.382
-22400/69092 Loss: 156.301
-25600/69092 Loss: 159.051
-28800/69092 Loss: 158.924
-32000/69092 Loss: 157.140
-35200/69092 Loss: 162.650
-38400/69092 Loss: 157.653
-41600/69092 Loss: 159.198
-44800/69092 Loss: 159.082
-48000/69092 Loss: 158.785
-51200/69092 Loss: 156.259
-54400/69092 Loss: 158.097
-57600/69092 Loss: 157.105
-60800/69092 Loss: 163.704
-64000/69092 Loss: 158.391
-67200/69092 Loss: 156.931
-Training time 0:05:34.796696
-Epoch: 105 Average loss: 159.00
-=> saved checkpoint 'trained_models/rendered_chairs/beta_VAE_bs_64_ls_5/checkpoints/last' (iter 107)
-0/69092 Loss: 170.103
-3200/69092 Loss: 156.306
-6400/69092 Loss: 160.654
-9600/69092 Loss: 159.796
-12800/69092 Loss: 157.796
-16000/69092 Loss: 157.300
-19200/69092 Loss: 157.026
-22400/69092 Loss: 158.475
-25600/69092 Loss: 158.968
-28800/69092 Loss: 159.848
-32000/69092 Loss: 158.780
-35200/69092 Loss: 159.463
-38400/69092 Loss: 160.543
-41600/69092 Loss: 159.262
-44800/69092 Loss: 158.482
-48000/69092 Loss: 157.139
-51200/69092 Loss: 160.624
-54400/69092 Loss: 160.324
diff --git a/OAR.2068291.stderr b/OAR.2068291.stderr
deleted file mode 100644
index bef21b425d..0000000000
--- a/OAR.2068291.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 02:59:26] Job 2068291 KILLED ##
diff --git a/OAR.2068291.stdout b/OAR.2068291.stdout
deleted file mode 100644
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--- a/OAR.2068291.stdout
+++ /dev/null
@@ -1,3168 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_5', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=5, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_5
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=10, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=5, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 761485
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last (iter 1)'
-0/69092 Loss: 160.718
-3200/69092 Loss: 195.348
-6400/69092 Loss: 196.738
-9600/69092 Loss: 194.883
-12800/69092 Loss: 190.485
-16000/69092 Loss: 187.904
-19200/69092 Loss: 191.408
-22400/69092 Loss: 192.884
-25600/69092 Loss: 190.201
-28800/69092 Loss: 187.534
-32000/69092 Loss: 188.378
-35200/69092 Loss: 187.631
-38400/69092 Loss: 187.406
-41600/69092 Loss: 188.709
-44800/69092 Loss: 186.751
-48000/69092 Loss: 191.667
-51200/69092 Loss: 183.246
-54400/69092 Loss: 187.353
-57600/69092 Loss: 188.015
-60800/69092 Loss: 183.729
-64000/69092 Loss: 184.278
-67200/69092 Loss: 186.790
-Training time 0:04:47.348882
-Epoch: 1 Average loss: 189.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 2)
-0/69092 Loss: 168.150
-3200/69092 Loss: 183.479
-6400/69092 Loss: 179.790
-9600/69092 Loss: 183.119
-12800/69092 Loss: 181.762
-16000/69092 Loss: 179.022
-19200/69092 Loss: 185.978
-22400/69092 Loss: 183.064
-25600/69092 Loss: 181.177
-28800/69092 Loss: 181.881
-32000/69092 Loss: 184.199
-35200/69092 Loss: 181.692
-38400/69092 Loss: 181.997
-41600/69092 Loss: 180.545
-44800/69092 Loss: 184.930
-48000/69092 Loss: 181.591
-51200/69092 Loss: 183.077
-54400/69092 Loss: 182.514
-57600/69092 Loss: 184.202
-60800/69092 Loss: 175.696
-64000/69092 Loss: 178.647
-67200/69092 Loss: 178.508
-Training time 0:04:50.598290
-Epoch: 2 Average loss: 181.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 3)
-0/69092 Loss: 160.616
-3200/69092 Loss: 176.036
-6400/69092 Loss: 181.527
-9600/69092 Loss: 180.076
-12800/69092 Loss: 180.270
-16000/69092 Loss: 180.807
-19200/69092 Loss: 177.929
-22400/69092 Loss: 178.709
-25600/69092 Loss: 181.522
-28800/69092 Loss: 178.841
-32000/69092 Loss: 180.035
-35200/69092 Loss: 178.275
-38400/69092 Loss: 182.683
-41600/69092 Loss: 177.399
-44800/69092 Loss: 180.405
-48000/69092 Loss: 181.841
-51200/69092 Loss: 176.475
-54400/69092 Loss: 177.734
-57600/69092 Loss: 182.002
-60800/69092 Loss: 180.416
-64000/69092 Loss: 176.499
-67200/69092 Loss: 179.069
-Training time 0:04:58.449314
-Epoch: 3 Average loss: 179.47
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 4)
-0/69092 Loss: 166.288
-3200/69092 Loss: 180.779
-6400/69092 Loss: 177.722
-9600/69092 Loss: 178.878
-12800/69092 Loss: 176.309
-16000/69092 Loss: 176.302
-19200/69092 Loss: 181.046
-22400/69092 Loss: 181.669
-25600/69092 Loss: 180.611
-28800/69092 Loss: 177.631
-32000/69092 Loss: 175.672
-35200/69092 Loss: 176.264
-38400/69092 Loss: 180.020
-41600/69092 Loss: 178.528
-44800/69092 Loss: 181.005
-48000/69092 Loss: 176.038
-51200/69092 Loss: 178.528
-54400/69092 Loss: 177.017
-57600/69092 Loss: 176.450
-60800/69092 Loss: 178.622
-64000/69092 Loss: 173.096
-67200/69092 Loss: 178.671
-Training time 0:04:53.296224
-Epoch: 4 Average loss: 178.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 5)
-0/69092 Loss: 162.201
-3200/69092 Loss: 175.820
-6400/69092 Loss: 179.074
-9600/69092 Loss: 177.050
-12800/69092 Loss: 175.576
-16000/69092 Loss: 177.369
-19200/69092 Loss: 177.303
-22400/69092 Loss: 175.484
-25600/69092 Loss: 176.561
-28800/69092 Loss: 180.101
-32000/69092 Loss: 175.739
-35200/69092 Loss: 179.139
-38400/69092 Loss: 173.434
-41600/69092 Loss: 181.191
-44800/69092 Loss: 178.676
-48000/69092 Loss: 177.746
-51200/69092 Loss: 177.446
-54400/69092 Loss: 175.045
-57600/69092 Loss: 177.810
-60800/69092 Loss: 176.667
-64000/69092 Loss: 176.333
-67200/69092 Loss: 178.492
-Training time 0:04:51.420617
-Epoch: 5 Average loss: 177.25
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 6)
-0/69092 Loss: 160.424
-3200/69092 Loss: 178.602
-6400/69092 Loss: 175.228
-9600/69092 Loss: 173.148
-12800/69092 Loss: 173.935
-16000/69092 Loss: 176.762
-19200/69092 Loss: 177.120
-22400/69092 Loss: 176.178
-25600/69092 Loss: 178.346
-28800/69092 Loss: 173.847
-32000/69092 Loss: 175.982
-35200/69092 Loss: 176.556
-38400/69092 Loss: 177.775
-41600/69092 Loss: 176.511
-44800/69092 Loss: 177.889
-48000/69092 Loss: 172.558
-51200/69092 Loss: 174.388
-54400/69092 Loss: 175.100
-57600/69092 Loss: 177.807
-60800/69092 Loss: 173.273
-64000/69092 Loss: 173.717
-67200/69092 Loss: 176.009
-Training time 0:04:44.187596
-Epoch: 6 Average loss: 175.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 7)
-0/69092 Loss: 154.626
-3200/69092 Loss: 175.090
-6400/69092 Loss: 173.648
-9600/69092 Loss: 177.601
-12800/69092 Loss: 175.078
-16000/69092 Loss: 171.486
-19200/69092 Loss: 174.718
-22400/69092 Loss: 175.500
-25600/69092 Loss: 175.546
-28800/69092 Loss: 174.822
-32000/69092 Loss: 172.752
-35200/69092 Loss: 176.297
-38400/69092 Loss: 173.670
-41600/69092 Loss: 177.349
-44800/69092 Loss: 177.002
-48000/69092 Loss: 171.563
-51200/69092 Loss: 173.142
-54400/69092 Loss: 175.472
-57600/69092 Loss: 177.937
-60800/69092 Loss: 177.506
-64000/69092 Loss: 173.922
-67200/69092 Loss: 176.779
-Training time 0:04:42.086637
-Epoch: 7 Average loss: 175.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 8)
-0/69092 Loss: 166.842
-3200/69092 Loss: 176.393
-6400/69092 Loss: 177.910
-9600/69092 Loss: 174.545
-12800/69092 Loss: 175.173
-16000/69092 Loss: 172.209
-19200/69092 Loss: 177.664
-22400/69092 Loss: 174.725
-25600/69092 Loss: 173.448
-28800/69092 Loss: 174.825
-32000/69092 Loss: 176.125
-35200/69092 Loss: 172.737
-38400/69092 Loss: 175.656
-41600/69092 Loss: 173.128
-44800/69092 Loss: 172.895
-48000/69092 Loss: 172.324
-51200/69092 Loss: 172.439
-54400/69092 Loss: 175.153
-57600/69092 Loss: 176.990
-60800/69092 Loss: 173.385
-64000/69092 Loss: 171.504
-67200/69092 Loss: 175.988
-Training time 0:04:50.085384
-Epoch: 8 Average loss: 174.55
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 9)
-0/69092 Loss: 192.984
-3200/69092 Loss: 168.908
-6400/69092 Loss: 174.075
-9600/69092 Loss: 177.689
-12800/69092 Loss: 173.688
-16000/69092 Loss: 177.886
-19200/69092 Loss: 174.232
-22400/69092 Loss: 173.340
-25600/69092 Loss: 172.025
-28800/69092 Loss: 172.520
-32000/69092 Loss: 171.036
-35200/69092 Loss: 173.630
-38400/69092 Loss: 172.711
-41600/69092 Loss: 173.286
-44800/69092 Loss: 171.935
-48000/69092 Loss: 175.494
-51200/69092 Loss: 175.592
-54400/69092 Loss: 171.378
-57600/69092 Loss: 176.081
-60800/69092 Loss: 171.243
-64000/69092 Loss: 175.991
-67200/69092 Loss: 171.297
-Training time 0:04:46.070348
-Epoch: 9 Average loss: 173.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 10)
-0/69092 Loss: 146.981
-3200/69092 Loss: 171.780
-6400/69092 Loss: 173.784
-9600/69092 Loss: 177.090
-12800/69092 Loss: 170.615
-16000/69092 Loss: 168.159
-19200/69092 Loss: 172.559
-22400/69092 Loss: 170.943
-25600/69092 Loss: 169.955
-28800/69092 Loss: 167.313
-32000/69092 Loss: 169.852
-35200/69092 Loss: 168.104
-38400/69092 Loss: 167.028
-41600/69092 Loss: 162.734
-44800/69092 Loss: 162.262
-48000/69092 Loss: 167.438
-51200/69092 Loss: 164.043
-54400/69092 Loss: 163.100
-57600/69092 Loss: 164.585
-60800/69092 Loss: 162.346
-64000/69092 Loss: 161.962
-67200/69092 Loss: 166.577
-Training time 0:04:47.102107
-Epoch: 10 Average loss: 167.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 11)
-0/69092 Loss: 151.183
-3200/69092 Loss: 165.384
-6400/69092 Loss: 167.018
-9600/69092 Loss: 163.825
-12800/69092 Loss: 162.573
-16000/69092 Loss: 161.033
-19200/69092 Loss: 162.465
-22400/69092 Loss: 163.940
-25600/69092 Loss: 158.944
-28800/69092 Loss: 162.664
-32000/69092 Loss: 161.330
-35200/69092 Loss: 163.406
-38400/69092 Loss: 158.683
-41600/69092 Loss: 160.531
-44800/69092 Loss: 160.417
-48000/69092 Loss: 164.075
-51200/69092 Loss: 163.731
-54400/69092 Loss: 163.045
-57600/69092 Loss: 164.244
-60800/69092 Loss: 157.949
-64000/69092 Loss: 160.197
-67200/69092 Loss: 162.859
-Training time 0:04:51.746640
-Epoch: 11 Average loss: 162.21
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 12)
-0/69092 Loss: 154.924
-3200/69092 Loss: 163.273
-6400/69092 Loss: 159.163
-9600/69092 Loss: 155.884
-12800/69092 Loss: 162.201
-16000/69092 Loss: 159.360
-19200/69092 Loss: 156.143
-22400/69092 Loss: 156.272
-25600/69092 Loss: 156.757
-28800/69092 Loss: 157.364
-32000/69092 Loss: 158.780
-35200/69092 Loss: 156.232
-38400/69092 Loss: 154.412
-41600/69092 Loss: 155.536
-44800/69092 Loss: 158.557
-48000/69092 Loss: 153.966
-51200/69092 Loss: 155.738
-54400/69092 Loss: 153.539
-57600/69092 Loss: 157.388
-60800/69092 Loss: 155.193
-64000/69092 Loss: 156.084
-67200/69092 Loss: 154.706
-Training time 0:04:39.651515
-Epoch: 12 Average loss: 156.94
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 13)
-0/69092 Loss: 142.486
-3200/69092 Loss: 156.168
-6400/69092 Loss: 155.495
-9600/69092 Loss: 154.547
-12800/69092 Loss: 150.812
-16000/69092 Loss: 152.557
-19200/69092 Loss: 155.233
-22400/69092 Loss: 153.208
-25600/69092 Loss: 152.687
-28800/69092 Loss: 154.943
-32000/69092 Loss: 153.995
-35200/69092 Loss: 155.391
-38400/69092 Loss: 150.432
-41600/69092 Loss: 152.702
-44800/69092 Loss: 154.048
-48000/69092 Loss: 153.700
-51200/69092 Loss: 153.710
-54400/69092 Loss: 153.347
-57600/69092 Loss: 156.340
-60800/69092 Loss: 155.228
-64000/69092 Loss: 153.031
-67200/69092 Loss: 156.122
-Training time 0:04:47.079566
-Epoch: 13 Average loss: 154.08
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 14)
-0/69092 Loss: 167.874
-3200/69092 Loss: 153.950
-6400/69092 Loss: 153.100
-9600/69092 Loss: 154.868
-12800/69092 Loss: 153.843
-16000/69092 Loss: 152.569
-19200/69092 Loss: 152.143
-22400/69092 Loss: 156.714
-25600/69092 Loss: 149.704
-28800/69092 Loss: 150.733
-32000/69092 Loss: 148.052
-35200/69092 Loss: 155.286
-38400/69092 Loss: 151.164
-41600/69092 Loss: 150.744
-44800/69092 Loss: 149.292
-48000/69092 Loss: 151.365
-51200/69092 Loss: 153.081
-54400/69092 Loss: 148.012
-57600/69092 Loss: 153.617
-60800/69092 Loss: 154.546
-64000/69092 Loss: 153.127
-67200/69092 Loss: 153.229
-Training time 0:04:38.197224
-Epoch: 14 Average loss: 152.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 15)
-0/69092 Loss: 142.733
-3200/69092 Loss: 153.018
-6400/69092 Loss: 151.895
-9600/69092 Loss: 151.264
-12800/69092 Loss: 148.139
-16000/69092 Loss: 150.293
-19200/69092 Loss: 152.738
-22400/69092 Loss: 152.494
-25600/69092 Loss: 149.747
-28800/69092 Loss: 151.198
-32000/69092 Loss: 150.283
-35200/69092 Loss: 154.543
-38400/69092 Loss: 149.681
-41600/69092 Loss: 150.284
-44800/69092 Loss: 151.567
-48000/69092 Loss: 153.972
-51200/69092 Loss: 153.460
-54400/69092 Loss: 150.492
-57600/69092 Loss: 151.530
-60800/69092 Loss: 153.527
-64000/69092 Loss: 152.394
-67200/69092 Loss: 151.078
-Training time 0:04:39.605667
-Epoch: 15 Average loss: 151.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 16)
-0/69092 Loss: 135.762
-3200/69092 Loss: 151.223
-6400/69092 Loss: 149.636
-9600/69092 Loss: 151.390
-12800/69092 Loss: 152.078
-16000/69092 Loss: 152.049
-19200/69092 Loss: 148.491
-22400/69092 Loss: 149.151
-25600/69092 Loss: 153.019
-28800/69092 Loss: 147.553
-32000/69092 Loss: 153.056
-35200/69092 Loss: 151.313
-38400/69092 Loss: 149.743
-41600/69092 Loss: 149.528
-44800/69092 Loss: 149.730
-48000/69092 Loss: 152.423
-51200/69092 Loss: 153.822
-54400/69092 Loss: 150.835
-57600/69092 Loss: 151.424
-60800/69092 Loss: 151.928
-64000/69092 Loss: 146.308
-67200/69092 Loss: 150.844
-Training time 0:04:41.437413
-Epoch: 16 Average loss: 150.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 17)
-0/69092 Loss: 140.489
-3200/69092 Loss: 152.261
-6400/69092 Loss: 149.076
-9600/69092 Loss: 147.913
-12800/69092 Loss: 151.479
-16000/69092 Loss: 152.871
-19200/69092 Loss: 149.458
-22400/69092 Loss: 153.279
-25600/69092 Loss: 150.869
-28800/69092 Loss: 150.986
-32000/69092 Loss: 152.924
-35200/69092 Loss: 148.119
-38400/69092 Loss: 150.243
-41600/69092 Loss: 148.496
-44800/69092 Loss: 150.882
-48000/69092 Loss: 149.852
-51200/69092 Loss: 149.254
-54400/69092 Loss: 149.813
-57600/69092 Loss: 148.314
-60800/69092 Loss: 151.928
-64000/69092 Loss: 150.182
-67200/69092 Loss: 151.590
-Training time 0:04:41.424319
-Epoch: 17 Average loss: 150.45
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 18)
-0/69092 Loss: 165.653
-3200/69092 Loss: 150.708
-6400/69092 Loss: 150.738
-9600/69092 Loss: 149.234
-12800/69092 Loss: 150.091
-16000/69092 Loss: 153.208
-19200/69092 Loss: 150.966
-22400/69092 Loss: 148.370
-25600/69092 Loss: 150.041
-28800/69092 Loss: 152.196
-32000/69092 Loss: 147.806
-35200/69092 Loss: 146.719
-38400/69092 Loss: 149.678
-41600/69092 Loss: 151.082
-44800/69092 Loss: 151.379
-48000/69092 Loss: 149.959
-51200/69092 Loss: 150.877
-54400/69092 Loss: 149.647
-57600/69092 Loss: 148.742
-60800/69092 Loss: 151.242
-64000/69092 Loss: 148.770
-67200/69092 Loss: 151.824
-Training time 0:04:48.453964
-Epoch: 18 Average loss: 150.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 19)
-0/69092 Loss: 137.928
-3200/69092 Loss: 145.544
-6400/69092 Loss: 151.132
-9600/69092 Loss: 153.427
-12800/69092 Loss: 152.087
-16000/69092 Loss: 148.224
-19200/69092 Loss: 151.954
-22400/69092 Loss: 151.094
-25600/69092 Loss: 149.743
-28800/69092 Loss: 150.293
-32000/69092 Loss: 149.179
-35200/69092 Loss: 148.198
-38400/69092 Loss: 149.964
-41600/69092 Loss: 149.894
-44800/69092 Loss: 148.807
-48000/69092 Loss: 152.734
-51200/69092 Loss: 148.849
-54400/69092 Loss: 147.120
-57600/69092 Loss: 149.641
-60800/69092 Loss: 147.192
-64000/69092 Loss: 149.263
-67200/69092 Loss: 149.469
-Training time 0:04:56.394880
-Epoch: 19 Average loss: 149.71
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 20)
-0/69092 Loss: 129.201
-3200/69092 Loss: 149.012
-6400/69092 Loss: 149.960
-9600/69092 Loss: 149.647
-12800/69092 Loss: 151.793
-16000/69092 Loss: 149.258
-19200/69092 Loss: 148.539
-22400/69092 Loss: 147.455
-25600/69092 Loss: 149.341
-28800/69092 Loss: 149.944
-32000/69092 Loss: 152.197
-35200/69092 Loss: 146.482
-38400/69092 Loss: 148.127
-41600/69092 Loss: 146.162
-44800/69092 Loss: 151.764
-48000/69092 Loss: 150.575
-51200/69092 Loss: 150.623
-54400/69092 Loss: 149.253
-57600/69092 Loss: 147.238
-60800/69092 Loss: 149.014
-64000/69092 Loss: 150.219
-67200/69092 Loss: 148.554
-Training time 0:04:45.573469
-Epoch: 20 Average loss: 149.37
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 21)
-0/69092 Loss: 133.640
-3200/69092 Loss: 148.624
-6400/69092 Loss: 149.967
-9600/69092 Loss: 148.680
-12800/69092 Loss: 147.118
-16000/69092 Loss: 150.804
-19200/69092 Loss: 148.523
-22400/69092 Loss: 152.628
-25600/69092 Loss: 150.004
-28800/69092 Loss: 149.583
-32000/69092 Loss: 148.045
-35200/69092 Loss: 147.617
-38400/69092 Loss: 152.470
-41600/69092 Loss: 150.862
-44800/69092 Loss: 149.814
-48000/69092 Loss: 149.141
-51200/69092 Loss: 148.093
-54400/69092 Loss: 152.332
-57600/69092 Loss: 146.968
-60800/69092 Loss: 149.775
-64000/69092 Loss: 147.789
-67200/69092 Loss: 147.252
-Training time 0:04:59.276110
-Epoch: 21 Average loss: 149.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 22)
-0/69092 Loss: 131.701
-3200/69092 Loss: 148.449
-6400/69092 Loss: 151.597
-9600/69092 Loss: 148.279
-12800/69092 Loss: 149.448
-16000/69092 Loss: 147.015
-19200/69092 Loss: 147.292
-22400/69092 Loss: 150.862
-25600/69092 Loss: 151.634
-28800/69092 Loss: 146.623
-32000/69092 Loss: 150.266
-35200/69092 Loss: 150.815
-38400/69092 Loss: 148.912
-41600/69092 Loss: 148.657
-44800/69092 Loss: 151.418
-48000/69092 Loss: 146.808
-51200/69092 Loss: 148.590
-54400/69092 Loss: 144.899
-57600/69092 Loss: 149.390
-60800/69092 Loss: 148.584
-64000/69092 Loss: 150.349
-67200/69092 Loss: 152.418
-Training time 0:04:46.599533
-Epoch: 22 Average loss: 149.21
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 23)
-0/69092 Loss: 147.441
-3200/69092 Loss: 146.450
-6400/69092 Loss: 147.865
-9600/69092 Loss: 149.093
-12800/69092 Loss: 149.175
-16000/69092 Loss: 148.235
-19200/69092 Loss: 145.462
-22400/69092 Loss: 148.329
-25600/69092 Loss: 149.039
-28800/69092 Loss: 150.100
-32000/69092 Loss: 149.619
-35200/69092 Loss: 148.932
-38400/69092 Loss: 151.061
-41600/69092 Loss: 150.732
-44800/69092 Loss: 147.543
-48000/69092 Loss: 148.581
-51200/69092 Loss: 149.412
-54400/69092 Loss: 150.560
-57600/69092 Loss: 147.948
-60800/69092 Loss: 148.273
-64000/69092 Loss: 148.835
-67200/69092 Loss: 150.739
-Training time 0:04:49.055498
-Epoch: 23 Average loss: 148.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 24)
-0/69092 Loss: 148.316
-3200/69092 Loss: 150.705
-6400/69092 Loss: 145.427
-9600/69092 Loss: 145.590
-12800/69092 Loss: 146.992
-16000/69092 Loss: 151.595
-19200/69092 Loss: 150.990
-22400/69092 Loss: 149.186
-25600/69092 Loss: 148.401
-28800/69092 Loss: 149.080
-32000/69092 Loss: 149.414
-35200/69092 Loss: 150.053
-38400/69092 Loss: 147.450
-41600/69092 Loss: 151.939
-44800/69092 Loss: 146.092
-48000/69092 Loss: 149.252
-51200/69092 Loss: 149.241
-54400/69092 Loss: 147.512
-57600/69092 Loss: 148.757
-60800/69092 Loss: 150.917
-64000/69092 Loss: 144.102
-67200/69092 Loss: 148.888
-Training time 0:04:42.031507
-Epoch: 24 Average loss: 148.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 25)
-0/69092 Loss: 152.213
-3200/69092 Loss: 149.305
-6400/69092 Loss: 147.650
-9600/69092 Loss: 147.823
-12800/69092 Loss: 150.604
-16000/69092 Loss: 146.576
-19200/69092 Loss: 150.881
-22400/69092 Loss: 149.893
-25600/69092 Loss: 148.029
-28800/69092 Loss: 150.403
-32000/69092 Loss: 149.834
-35200/69092 Loss: 150.335
-38400/69092 Loss: 149.817
-41600/69092 Loss: 148.180
-44800/69092 Loss: 148.837
-48000/69092 Loss: 148.287
-51200/69092 Loss: 145.299
-54400/69092 Loss: 150.729
-57600/69092 Loss: 146.837
-60800/69092 Loss: 146.870
-64000/69092 Loss: 147.973
-67200/69092 Loss: 147.860
-Training time 0:04:47.412749
-Epoch: 25 Average loss: 148.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 26)
-0/69092 Loss: 147.533
-3200/69092 Loss: 149.722
-6400/69092 Loss: 145.848
-9600/69092 Loss: 149.544
-12800/69092 Loss: 147.232
-16000/69092 Loss: 146.528
-19200/69092 Loss: 144.404
-22400/69092 Loss: 148.635
-25600/69092 Loss: 150.073
-28800/69092 Loss: 148.495
-32000/69092 Loss: 148.930
-35200/69092 Loss: 151.213
-38400/69092 Loss: 149.984
-41600/69092 Loss: 149.236
-44800/69092 Loss: 148.683
-48000/69092 Loss: 149.080
-51200/69092 Loss: 147.438
-54400/69092 Loss: 148.451
-57600/69092 Loss: 146.744
-60800/69092 Loss: 150.171
-64000/69092 Loss: 148.242
-67200/69092 Loss: 149.408
-Training time 0:04:50.951991
-Epoch: 26 Average loss: 148.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 27)
-0/69092 Loss: 152.592
-3200/69092 Loss: 149.182
-6400/69092 Loss: 148.681
-9600/69092 Loss: 147.861
-12800/69092 Loss: 148.158
-16000/69092 Loss: 147.307
-19200/69092 Loss: 148.734
-22400/69092 Loss: 148.499
-25600/69092 Loss: 147.275
-28800/69092 Loss: 151.277
-32000/69092 Loss: 149.926
-35200/69092 Loss: 150.180
-38400/69092 Loss: 147.927
-41600/69092 Loss: 147.626
-44800/69092 Loss: 147.453
-48000/69092 Loss: 148.842
-51200/69092 Loss: 151.201
-54400/69092 Loss: 149.597
-57600/69092 Loss: 147.173
-60800/69092 Loss: 150.191
-64000/69092 Loss: 148.148
-67200/69092 Loss: 148.408
-Training time 0:04:53.876524
-Epoch: 27 Average loss: 148.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 28)
-0/69092 Loss: 136.799
-3200/69092 Loss: 149.160
-6400/69092 Loss: 148.577
-9600/69092 Loss: 148.877
-12800/69092 Loss: 148.757
-16000/69092 Loss: 148.481
-19200/69092 Loss: 148.485
-22400/69092 Loss: 145.469
-25600/69092 Loss: 147.464
-28800/69092 Loss: 150.880
-32000/69092 Loss: 148.038
-35200/69092 Loss: 150.974
-38400/69092 Loss: 148.349
-41600/69092 Loss: 146.056
-44800/69092 Loss: 152.184
-48000/69092 Loss: 146.304
-51200/69092 Loss: 148.212
-54400/69092 Loss: 147.954
-57600/69092 Loss: 146.696
-60800/69092 Loss: 148.265
-64000/69092 Loss: 148.102
-67200/69092 Loss: 148.043
-Training time 0:04:48.916889
-Epoch: 28 Average loss: 148.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 29)
-0/69092 Loss: 139.670
-3200/69092 Loss: 149.241
-6400/69092 Loss: 146.362
-9600/69092 Loss: 149.768
-12800/69092 Loss: 150.836
-16000/69092 Loss: 151.187
-19200/69092 Loss: 148.298
-22400/69092 Loss: 146.347
-25600/69092 Loss: 147.607
-28800/69092 Loss: 148.707
-32000/69092 Loss: 149.895
-35200/69092 Loss: 149.527
-38400/69092 Loss: 148.237
-41600/69092 Loss: 144.982
-44800/69092 Loss: 151.784
-48000/69092 Loss: 147.750
-51200/69092 Loss: 146.564
-54400/69092 Loss: 146.418
-57600/69092 Loss: 149.342
-60800/69092 Loss: 148.502
-64000/69092 Loss: 149.298
-67200/69092 Loss: 147.498
-Training time 0:04:45.409229
-Epoch: 29 Average loss: 148.46
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 30)
-0/69092 Loss: 151.405
-3200/69092 Loss: 146.274
-6400/69092 Loss: 149.452
-9600/69092 Loss: 146.109
-12800/69092 Loss: 149.210
-16000/69092 Loss: 146.885
-19200/69092 Loss: 148.982
-22400/69092 Loss: 149.403
-25600/69092 Loss: 150.823
-28800/69092 Loss: 149.720
-32000/69092 Loss: 146.378
-35200/69092 Loss: 151.609
-38400/69092 Loss: 151.925
-41600/69092 Loss: 150.469
-44800/69092 Loss: 148.398
-48000/69092 Loss: 148.156
-51200/69092 Loss: 146.210
-54400/69092 Loss: 147.480
-57600/69092 Loss: 147.065
-60800/69092 Loss: 145.786
-64000/69092 Loss: 150.431
-67200/69092 Loss: 146.721
-Training time 0:04:50.737945
-Epoch: 30 Average loss: 148.42
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 31)
-0/69092 Loss: 150.116
-3200/69092 Loss: 150.399
-6400/69092 Loss: 148.203
-9600/69092 Loss: 151.006
-12800/69092 Loss: 147.144
-16000/69092 Loss: 150.393
-19200/69092 Loss: 146.829
-22400/69092 Loss: 147.297
-25600/69092 Loss: 145.868
-28800/69092 Loss: 148.685
-32000/69092 Loss: 147.328
-35200/69092 Loss: 150.047
-38400/69092 Loss: 144.112
-41600/69092 Loss: 145.091
-44800/69092 Loss: 147.921
-48000/69092 Loss: 147.783
-51200/69092 Loss: 147.961
-54400/69092 Loss: 149.061
-57600/69092 Loss: 147.789
-60800/69092 Loss: 146.963
-64000/69092 Loss: 149.435
-67200/69092 Loss: 146.020
-Training time 0:04:48.621983
-Epoch: 31 Average loss: 147.92
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 32)
-0/69092 Loss: 139.254
-3200/69092 Loss: 147.274
-6400/69092 Loss: 148.368
-9600/69092 Loss: 147.824
-12800/69092 Loss: 144.687
-16000/69092 Loss: 147.647
-19200/69092 Loss: 145.607
-22400/69092 Loss: 145.909
-25600/69092 Loss: 147.128
-28800/69092 Loss: 147.337
-32000/69092 Loss: 147.407
-35200/69092 Loss: 147.988
-38400/69092 Loss: 150.538
-41600/69092 Loss: 151.803
-44800/69092 Loss: 146.955
-48000/69092 Loss: 147.923
-51200/69092 Loss: 147.718
-54400/69092 Loss: 149.130
-57600/69092 Loss: 149.352
-60800/69092 Loss: 147.535
-64000/69092 Loss: 149.475
-67200/69092 Loss: 147.609
-Training time 0:04:48.911700
-Epoch: 32 Average loss: 147.93
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 33)
-0/69092 Loss: 135.456
-3200/69092 Loss: 147.926
-6400/69092 Loss: 145.118
-9600/69092 Loss: 149.077
-12800/69092 Loss: 150.177
-16000/69092 Loss: 148.397
-19200/69092 Loss: 147.117
-22400/69092 Loss: 145.922
-25600/69092 Loss: 146.261
-28800/69092 Loss: 148.776
-32000/69092 Loss: 149.062
-35200/69092 Loss: 149.170
-38400/69092 Loss: 147.219
-41600/69092 Loss: 148.891
-44800/69092 Loss: 147.959
-48000/69092 Loss: 150.057
-51200/69092 Loss: 147.330
-54400/69092 Loss: 147.750
-57600/69092 Loss: 148.495
-60800/69092 Loss: 147.875
-64000/69092 Loss: 148.009
-67200/69092 Loss: 149.262
-Training time 0:04:50.174805
-Epoch: 33 Average loss: 148.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 34)
-0/69092 Loss: 182.166
-3200/69092 Loss: 148.901
-6400/69092 Loss: 145.378
-9600/69092 Loss: 148.315
-12800/69092 Loss: 146.911
-16000/69092 Loss: 147.523
-19200/69092 Loss: 147.612
-22400/69092 Loss: 146.449
-25600/69092 Loss: 147.696
-28800/69092 Loss: 150.118
-32000/69092 Loss: 148.327
-35200/69092 Loss: 147.242
-38400/69092 Loss: 148.225
-41600/69092 Loss: 146.721
-44800/69092 Loss: 149.915
-48000/69092 Loss: 147.828
-51200/69092 Loss: 146.816
-54400/69092 Loss: 148.654
-57600/69092 Loss: 147.533
-60800/69092 Loss: 148.067
-64000/69092 Loss: 148.144
-67200/69092 Loss: 150.079
-Training time 0:04:43.649297
-Epoch: 34 Average loss: 147.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 35)
-0/69092 Loss: 144.509
-3200/69092 Loss: 148.918
-6400/69092 Loss: 149.180
-9600/69092 Loss: 143.877
-12800/69092 Loss: 147.871
-16000/69092 Loss: 148.619
-19200/69092 Loss: 148.622
-22400/69092 Loss: 149.938
-25600/69092 Loss: 151.149
-28800/69092 Loss: 145.947
-32000/69092 Loss: 146.845
-35200/69092 Loss: 143.968
-38400/69092 Loss: 148.796
-41600/69092 Loss: 145.774
-44800/69092 Loss: 147.522
-48000/69092 Loss: 150.373
-51200/69092 Loss: 150.224
-54400/69092 Loss: 144.202
-57600/69092 Loss: 147.134
-60800/69092 Loss: 147.678
-64000/69092 Loss: 147.897
-67200/69092 Loss: 147.136
-Training time 0:04:52.302760
-Epoch: 35 Average loss: 147.78
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 36)
-0/69092 Loss: 171.568
-3200/69092 Loss: 147.211
-6400/69092 Loss: 151.186
-9600/69092 Loss: 147.847
-12800/69092 Loss: 147.045
-16000/69092 Loss: 147.694
-19200/69092 Loss: 147.207
-22400/69092 Loss: 146.437
-25600/69092 Loss: 148.529
-28800/69092 Loss: 147.193
-32000/69092 Loss: 147.475
-35200/69092 Loss: 149.954
-38400/69092 Loss: 146.927
-41600/69092 Loss: 147.328
-44800/69092 Loss: 147.303
-48000/69092 Loss: 147.689
-51200/69092 Loss: 145.557
-54400/69092 Loss: 149.372
-57600/69092 Loss: 149.927
-60800/69092 Loss: 148.130
-64000/69092 Loss: 145.447
-67200/69092 Loss: 147.423
-Training time 0:04:41.499130
-Epoch: 36 Average loss: 147.66
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 37)
-0/69092 Loss: 126.942
-3200/69092 Loss: 147.392
-6400/69092 Loss: 149.148
-9600/69092 Loss: 148.443
-12800/69092 Loss: 146.970
-16000/69092 Loss: 147.117
-19200/69092 Loss: 145.697
-22400/69092 Loss: 150.965
-25600/69092 Loss: 150.003
-28800/69092 Loss: 144.241
-32000/69092 Loss: 148.380
-35200/69092 Loss: 143.263
-38400/69092 Loss: 146.500
-41600/69092 Loss: 147.698
-44800/69092 Loss: 148.868
-48000/69092 Loss: 149.101
-51200/69092 Loss: 146.882
-54400/69092 Loss: 149.080
-57600/69092 Loss: 145.908
-60800/69092 Loss: 150.441
-64000/69092 Loss: 149.058
-67200/69092 Loss: 148.011
-Training time 0:04:43.312257
-Epoch: 37 Average loss: 147.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 38)
-0/69092 Loss: 138.473
-3200/69092 Loss: 148.439
-6400/69092 Loss: 146.342
-9600/69092 Loss: 149.556
-12800/69092 Loss: 147.739
-16000/69092 Loss: 147.844
-19200/69092 Loss: 150.256
-22400/69092 Loss: 147.245
-25600/69092 Loss: 148.738
-28800/69092 Loss: 145.625
-32000/69092 Loss: 149.568
-35200/69092 Loss: 144.465
-38400/69092 Loss: 145.087
-41600/69092 Loss: 148.033
-44800/69092 Loss: 147.266
-48000/69092 Loss: 147.949
-51200/69092 Loss: 147.969
-54400/69092 Loss: 151.305
-57600/69092 Loss: 144.169
-60800/69092 Loss: 148.036
-64000/69092 Loss: 146.607
-67200/69092 Loss: 148.207
-Training time 0:04:37.742191
-Epoch: 38 Average loss: 147.66
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 39)
-0/69092 Loss: 140.590
-3200/69092 Loss: 147.467
-6400/69092 Loss: 145.737
-9600/69092 Loss: 148.149
-12800/69092 Loss: 148.441
-16000/69092 Loss: 147.550
-19200/69092 Loss: 148.744
-22400/69092 Loss: 145.392
-25600/69092 Loss: 147.454
-28800/69092 Loss: 148.207
-32000/69092 Loss: 147.382
-35200/69092 Loss: 148.161
-38400/69092 Loss: 148.098
-41600/69092 Loss: 146.294
-44800/69092 Loss: 147.684
-48000/69092 Loss: 146.768
-51200/69092 Loss: 148.378
-54400/69092 Loss: 148.982
-57600/69092 Loss: 146.299
-60800/69092 Loss: 148.486
-64000/69092 Loss: 146.811
-67200/69092 Loss: 148.951
-Training time 0:04:50.802320
-Epoch: 39 Average loss: 147.54
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 40)
-0/69092 Loss: 136.610
-3200/69092 Loss: 150.866
-6400/69092 Loss: 147.610
-9600/69092 Loss: 148.863
-12800/69092 Loss: 147.901
-16000/69092 Loss: 146.124
-19200/69092 Loss: 147.856
-22400/69092 Loss: 147.756
-25600/69092 Loss: 146.895
-28800/69092 Loss: 148.882
-32000/69092 Loss: 149.392
-35200/69092 Loss: 145.366
-38400/69092 Loss: 146.326
-41600/69092 Loss: 148.099
-44800/69092 Loss: 147.129
-48000/69092 Loss: 147.240
-51200/69092 Loss: 146.275
-54400/69092 Loss: 150.795
-57600/69092 Loss: 146.048
-60800/69092 Loss: 145.345
-64000/69092 Loss: 146.640
-67200/69092 Loss: 147.691
-Training time 0:04:46.034226
-Epoch: 40 Average loss: 147.57
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 41)
-0/69092 Loss: 130.478
-3200/69092 Loss: 145.856
-6400/69092 Loss: 148.837
-9600/69092 Loss: 148.716
-12800/69092 Loss: 147.260
-16000/69092 Loss: 146.766
-19200/69092 Loss: 148.677
-22400/69092 Loss: 144.870
-25600/69092 Loss: 146.645
-28800/69092 Loss: 149.022
-32000/69092 Loss: 149.616
-35200/69092 Loss: 147.131
-38400/69092 Loss: 147.440
-41600/69092 Loss: 146.554
-44800/69092 Loss: 149.245
-48000/69092 Loss: 150.220
-51200/69092 Loss: 147.618
-54400/69092 Loss: 149.107
-57600/69092 Loss: 147.340
-60800/69092 Loss: 147.957
-64000/69092 Loss: 146.702
-67200/69092 Loss: 147.134
-Training time 0:04:32.941870
-Epoch: 41 Average loss: 147.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 42)
-0/69092 Loss: 142.196
-3200/69092 Loss: 149.834
-6400/69092 Loss: 147.423
-9600/69092 Loss: 147.878
-12800/69092 Loss: 148.993
-16000/69092 Loss: 146.516
-19200/69092 Loss: 147.415
-22400/69092 Loss: 148.012
-25600/69092 Loss: 147.496
-28800/69092 Loss: 148.991
-32000/69092 Loss: 147.641
-35200/69092 Loss: 144.425
-38400/69092 Loss: 148.495
-41600/69092 Loss: 146.185
-44800/69092 Loss: 145.948
-48000/69092 Loss: 148.388
-51200/69092 Loss: 144.057
-54400/69092 Loss: 149.661
-57600/69092 Loss: 149.148
-60800/69092 Loss: 148.142
-64000/69092 Loss: 146.454
-67200/69092 Loss: 147.064
-Training time 0:04:51.137364
-Epoch: 42 Average loss: 147.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 43)
-0/69092 Loss: 146.976
-3200/69092 Loss: 145.914
-6400/69092 Loss: 149.067
-9600/69092 Loss: 147.212
-12800/69092 Loss: 149.855
-16000/69092 Loss: 147.618
-19200/69092 Loss: 147.907
-22400/69092 Loss: 143.236
-25600/69092 Loss: 146.884
-28800/69092 Loss: 146.931
-32000/69092 Loss: 149.960
-35200/69092 Loss: 147.290
-38400/69092 Loss: 146.588
-41600/69092 Loss: 148.242
-44800/69092 Loss: 147.682
-48000/69092 Loss: 149.333
-51200/69092 Loss: 145.939
-54400/69092 Loss: 148.984
-57600/69092 Loss: 147.244
-60800/69092 Loss: 146.377
-64000/69092 Loss: 147.587
-67200/69092 Loss: 148.987
-Training time 0:04:52.995865
-Epoch: 43 Average loss: 147.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 44)
-0/69092 Loss: 147.195
-3200/69092 Loss: 145.492
-6400/69092 Loss: 148.713
-9600/69092 Loss: 147.604
-12800/69092 Loss: 148.692
-16000/69092 Loss: 149.684
-19200/69092 Loss: 150.388
-22400/69092 Loss: 146.937
-25600/69092 Loss: 149.534
-28800/69092 Loss: 148.582
-32000/69092 Loss: 147.982
-35200/69092 Loss: 150.096
-38400/69092 Loss: 146.612
-41600/69092 Loss: 143.746
-44800/69092 Loss: 145.780
-48000/69092 Loss: 146.939
-51200/69092 Loss: 144.991
-54400/69092 Loss: 149.095
-57600/69092 Loss: 146.711
-60800/69092 Loss: 145.298
-64000/69092 Loss: 146.612
-67200/69092 Loss: 147.295
-Training time 0:04:48.267435
-Epoch: 44 Average loss: 147.44
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 45)
-0/69092 Loss: 144.535
-3200/69092 Loss: 149.252
-6400/69092 Loss: 147.248
-9600/69092 Loss: 145.847
-12800/69092 Loss: 147.830
-16000/69092 Loss: 145.908
-19200/69092 Loss: 148.936
-22400/69092 Loss: 147.652
-25600/69092 Loss: 146.594
-28800/69092 Loss: 148.105
-32000/69092 Loss: 147.654
-35200/69092 Loss: 147.288
-38400/69092 Loss: 146.380
-41600/69092 Loss: 150.282
-44800/69092 Loss: 146.159
-48000/69092 Loss: 149.498
-51200/69092 Loss: 146.705
-54400/69092 Loss: 148.901
-57600/69092 Loss: 148.219
-60800/69092 Loss: 144.109
-64000/69092 Loss: 146.984
-67200/69092 Loss: 146.319
-Training time 0:04:46.182034
-Epoch: 45 Average loss: 147.42
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 46)
-0/69092 Loss: 136.896
-3200/69092 Loss: 149.550
-6400/69092 Loss: 148.753
-9600/69092 Loss: 148.302
-12800/69092 Loss: 148.910
-16000/69092 Loss: 146.299
-19200/69092 Loss: 148.390
-22400/69092 Loss: 145.611
-25600/69092 Loss: 147.391
-28800/69092 Loss: 148.267
-32000/69092 Loss: 146.850
-35200/69092 Loss: 147.362
-38400/69092 Loss: 147.291
-41600/69092 Loss: 149.410
-44800/69092 Loss: 147.307
-48000/69092 Loss: 144.954
-51200/69092 Loss: 148.240
-54400/69092 Loss: 147.475
-57600/69092 Loss: 145.484
-60800/69092 Loss: 143.873
-64000/69092 Loss: 148.499
-67200/69092 Loss: 147.200
-Training time 0:04:42.458226
-Epoch: 46 Average loss: 147.40
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 47)
-0/69092 Loss: 150.699
-3200/69092 Loss: 147.425
-6400/69092 Loss: 147.047
-9600/69092 Loss: 145.380
-12800/69092 Loss: 149.754
-16000/69092 Loss: 149.451
-19200/69092 Loss: 147.034
-22400/69092 Loss: 147.372
-25600/69092 Loss: 147.991
-28800/69092 Loss: 148.776
-32000/69092 Loss: 149.615
-35200/69092 Loss: 147.608
-38400/69092 Loss: 148.215
-41600/69092 Loss: 149.303
-44800/69092 Loss: 146.046
-48000/69092 Loss: 145.386
-51200/69092 Loss: 145.610
-54400/69092 Loss: 146.915
-57600/69092 Loss: 148.651
-60800/69092 Loss: 146.439
-64000/69092 Loss: 145.994
-67200/69092 Loss: 145.309
-Training time 0:04:50.171637
-Epoch: 47 Average loss: 147.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 48)
-0/69092 Loss: 152.689
-3200/69092 Loss: 148.242
-6400/69092 Loss: 149.818
-9600/69092 Loss: 150.796
-12800/69092 Loss: 146.022
-16000/69092 Loss: 146.036
-19200/69092 Loss: 148.187
-22400/69092 Loss: 146.057
-25600/69092 Loss: 148.854
-28800/69092 Loss: 146.305
-32000/69092 Loss: 147.919
-35200/69092 Loss: 147.342
-38400/69092 Loss: 145.379
-41600/69092 Loss: 147.849
-44800/69092 Loss: 145.081
-48000/69092 Loss: 148.374
-51200/69092 Loss: 148.579
-54400/69092 Loss: 148.269
-57600/69092 Loss: 148.248
-60800/69092 Loss: 145.525
-64000/69092 Loss: 143.879
-67200/69092 Loss: 146.685
-Training time 0:04:51.065306
-Epoch: 48 Average loss: 147.28
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 49)
-0/69092 Loss: 138.702
-3200/69092 Loss: 149.051
-6400/69092 Loss: 146.844
-9600/69092 Loss: 146.851
-12800/69092 Loss: 148.108
-16000/69092 Loss: 149.468
-19200/69092 Loss: 146.898
-22400/69092 Loss: 147.229
-25600/69092 Loss: 148.109
-28800/69092 Loss: 144.980
-32000/69092 Loss: 146.640
-35200/69092 Loss: 147.083
-38400/69092 Loss: 144.511
-41600/69092 Loss: 149.689
-44800/69092 Loss: 146.317
-48000/69092 Loss: 148.143
-51200/69092 Loss: 149.500
-54400/69092 Loss: 146.935
-57600/69092 Loss: 145.848
-60800/69092 Loss: 149.408
-64000/69092 Loss: 145.568
-67200/69092 Loss: 146.664
-Training time 0:04:52.656015
-Epoch: 49 Average loss: 147.28
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 50)
-0/69092 Loss: 141.442
-3200/69092 Loss: 145.800
-6400/69092 Loss: 148.988
-9600/69092 Loss: 146.610
-12800/69092 Loss: 149.453
-16000/69092 Loss: 146.489
-19200/69092 Loss: 147.201
-22400/69092 Loss: 146.820
-25600/69092 Loss: 146.664
-28800/69092 Loss: 144.953
-32000/69092 Loss: 150.625
-35200/69092 Loss: 145.450
-38400/69092 Loss: 145.755
-41600/69092 Loss: 147.921
-44800/69092 Loss: 146.116
-48000/69092 Loss: 147.734
-51200/69092 Loss: 144.139
-54400/69092 Loss: 143.210
-57600/69092 Loss: 146.801
-60800/69092 Loss: 149.121
-64000/69092 Loss: 150.397
-67200/69092 Loss: 147.114
-Training time 0:04:52.556216
-Epoch: 50 Average loss: 147.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 51)
-0/69092 Loss: 148.842
-3200/69092 Loss: 149.280
-6400/69092 Loss: 144.520
-9600/69092 Loss: 145.122
-12800/69092 Loss: 148.532
-16000/69092 Loss: 148.949
-19200/69092 Loss: 152.320
-22400/69092 Loss: 147.693
-25600/69092 Loss: 148.352
-28800/69092 Loss: 147.083
-32000/69092 Loss: 143.256
-35200/69092 Loss: 147.945
-38400/69092 Loss: 148.295
-41600/69092 Loss: 146.062
-44800/69092 Loss: 148.280
-48000/69092 Loss: 148.141
-51200/69092 Loss: 144.961
-54400/69092 Loss: 146.155
-57600/69092 Loss: 149.486
-60800/69092 Loss: 147.682
-64000/69092 Loss: 144.341
-67200/69092 Loss: 146.745
-Training time 0:04:52.407796
-Epoch: 51 Average loss: 147.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 52)
-0/69092 Loss: 144.874
-3200/69092 Loss: 148.552
-6400/69092 Loss: 146.392
-9600/69092 Loss: 149.637
-12800/69092 Loss: 142.479
-16000/69092 Loss: 145.334
-19200/69092 Loss: 147.575
-22400/69092 Loss: 147.806
-25600/69092 Loss: 144.501
-28800/69092 Loss: 146.850
-32000/69092 Loss: 146.706
-35200/69092 Loss: 148.118
-38400/69092 Loss: 146.641
-41600/69092 Loss: 146.493
-44800/69092 Loss: 148.939
-48000/69092 Loss: 146.910
-51200/69092 Loss: 148.734
-54400/69092 Loss: 147.240
-57600/69092 Loss: 146.749
-60800/69092 Loss: 148.595
-64000/69092 Loss: 145.173
-67200/69092 Loss: 146.752
-Training time 0:04:46.414580
-Epoch: 52 Average loss: 146.96
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 53)
-0/69092 Loss: 159.264
-3200/69092 Loss: 146.521
-6400/69092 Loss: 145.872
-9600/69092 Loss: 147.680
-12800/69092 Loss: 146.508
-16000/69092 Loss: 143.673
-19200/69092 Loss: 149.822
-22400/69092 Loss: 147.306
-25600/69092 Loss: 144.225
-28800/69092 Loss: 148.730
-32000/69092 Loss: 147.515
-35200/69092 Loss: 147.099
-38400/69092 Loss: 148.525
-41600/69092 Loss: 148.024
-44800/69092 Loss: 146.560
-48000/69092 Loss: 148.455
-51200/69092 Loss: 150.450
-54400/69092 Loss: 147.113
-57600/69092 Loss: 147.433
-60800/69092 Loss: 147.747
-64000/69092 Loss: 147.956
-67200/69092 Loss: 145.113
-Training time 0:04:51.452545
-Epoch: 53 Average loss: 147.28
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 54)
-0/69092 Loss: 141.546
-3200/69092 Loss: 145.539
-6400/69092 Loss: 149.190
-9600/69092 Loss: 146.784
-12800/69092 Loss: 146.082
-16000/69092 Loss: 146.864
-19200/69092 Loss: 145.810
-22400/69092 Loss: 147.325
-25600/69092 Loss: 143.982
-28800/69092 Loss: 150.492
-32000/69092 Loss: 147.060
-35200/69092 Loss: 146.891
-38400/69092 Loss: 146.113
-41600/69092 Loss: 147.908
-44800/69092 Loss: 146.118
-48000/69092 Loss: 146.011
-51200/69092 Loss: 146.489
-54400/69092 Loss: 147.377
-57600/69092 Loss: 146.536
-60800/69092 Loss: 148.937
-64000/69092 Loss: 147.756
-67200/69092 Loss: 147.634
-Training time 0:04:50.742064
-Epoch: 54 Average loss: 147.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 55)
-0/69092 Loss: 138.250
-3200/69092 Loss: 145.860
-6400/69092 Loss: 145.939
-9600/69092 Loss: 148.053
-12800/69092 Loss: 145.854
-16000/69092 Loss: 146.061
-19200/69092 Loss: 146.897
-22400/69092 Loss: 147.777
-25600/69092 Loss: 148.758
-28800/69092 Loss: 144.013
-32000/69092 Loss: 146.965
-35200/69092 Loss: 148.122
-38400/69092 Loss: 145.971
-41600/69092 Loss: 148.565
-44800/69092 Loss: 146.701
-48000/69092 Loss: 145.711
-51200/69092 Loss: 144.412
-54400/69092 Loss: 147.006
-57600/69092 Loss: 148.684
-60800/69092 Loss: 150.994
-64000/69092 Loss: 148.301
-67200/69092 Loss: 146.625
-Training time 0:04:53.544549
-Epoch: 55 Average loss: 146.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 56)
-0/69092 Loss: 153.768
-3200/69092 Loss: 148.208
-6400/69092 Loss: 146.056
-9600/69092 Loss: 144.783
-12800/69092 Loss: 146.773
-16000/69092 Loss: 142.310
-19200/69092 Loss: 148.937
-22400/69092 Loss: 146.681
-25600/69092 Loss: 145.761
-28800/69092 Loss: 149.047
-32000/69092 Loss: 150.048
-35200/69092 Loss: 146.347
-38400/69092 Loss: 147.055
-41600/69092 Loss: 144.490
-44800/69092 Loss: 152.141
-48000/69092 Loss: 146.734
-51200/69092 Loss: 148.234
-54400/69092 Loss: 146.772
-57600/69092 Loss: 148.011
-60800/69092 Loss: 145.731
-64000/69092 Loss: 147.526
-67200/69092 Loss: 144.554
-Training time 0:04:53.486139
-Epoch: 56 Average loss: 146.96
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 57)
-0/69092 Loss: 146.591
-3200/69092 Loss: 145.821
-6400/69092 Loss: 150.520
-9600/69092 Loss: 147.664
-12800/69092 Loss: 146.785
-16000/69092 Loss: 148.951
-19200/69092 Loss: 147.684
-22400/69092 Loss: 146.618
-25600/69092 Loss: 147.101
-28800/69092 Loss: 145.667
-32000/69092 Loss: 147.255
-35200/69092 Loss: 146.929
-38400/69092 Loss: 145.768
-41600/69092 Loss: 148.278
-44800/69092 Loss: 145.624
-48000/69092 Loss: 146.251
-51200/69092 Loss: 146.753
-54400/69092 Loss: 144.288
-57600/69092 Loss: 149.160
-60800/69092 Loss: 145.712
-64000/69092 Loss: 147.056
-67200/69092 Loss: 148.634
-Training time 0:04:51.065809
-Epoch: 57 Average loss: 147.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 58)
-0/69092 Loss: 143.716
-3200/69092 Loss: 148.458
-6400/69092 Loss: 147.682
-9600/69092 Loss: 146.822
-12800/69092 Loss: 144.305
-16000/69092 Loss: 147.238
-19200/69092 Loss: 148.305
-22400/69092 Loss: 146.991
-25600/69092 Loss: 146.660
-28800/69092 Loss: 147.319
-32000/69092 Loss: 147.859
-35200/69092 Loss: 147.335
-38400/69092 Loss: 147.587
-41600/69092 Loss: 146.720
-44800/69092 Loss: 145.439
-48000/69092 Loss: 147.053
-51200/69092 Loss: 146.829
-54400/69092 Loss: 145.434
-57600/69092 Loss: 144.668
-60800/69092 Loss: 145.682
-64000/69092 Loss: 146.102
-67200/69092 Loss: 147.807
-Training time 0:04:46.504364
-Epoch: 58 Average loss: 146.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 59)
-0/69092 Loss: 137.024
-3200/69092 Loss: 146.156
-6400/69092 Loss: 146.917
-9600/69092 Loss: 145.676
-12800/69092 Loss: 144.955
-16000/69092 Loss: 145.394
-19200/69092 Loss: 148.735
-22400/69092 Loss: 151.117
-25600/69092 Loss: 143.244
-28800/69092 Loss: 148.260
-32000/69092 Loss: 145.791
-35200/69092 Loss: 148.731
-38400/69092 Loss: 147.829
-41600/69092 Loss: 144.755
-44800/69092 Loss: 146.574
-48000/69092 Loss: 146.108
-51200/69092 Loss: 148.643
-54400/69092 Loss: 148.252
-57600/69092 Loss: 146.390
-60800/69092 Loss: 148.153
-64000/69092 Loss: 145.236
-67200/69092 Loss: 146.518
-Training time 0:04:51.503963
-Epoch: 59 Average loss: 146.93
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 60)
-0/69092 Loss: 138.822
-3200/69092 Loss: 147.527
-6400/69092 Loss: 146.079
-9600/69092 Loss: 145.572
-12800/69092 Loss: 147.603
-16000/69092 Loss: 144.474
-19200/69092 Loss: 145.038
-22400/69092 Loss: 144.862
-25600/69092 Loss: 146.587
-28800/69092 Loss: 149.152
-32000/69092 Loss: 145.570
-35200/69092 Loss: 147.617
-38400/69092 Loss: 147.989
-41600/69092 Loss: 146.229
-44800/69092 Loss: 147.906
-48000/69092 Loss: 151.285
-51200/69092 Loss: 143.997
-54400/69092 Loss: 145.932
-57600/69092 Loss: 150.376
-60800/69092 Loss: 146.700
-64000/69092 Loss: 148.486
-67200/69092 Loss: 146.345
-Training time 0:04:46.929217
-Epoch: 60 Average loss: 146.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 61)
-0/69092 Loss: 166.519
-3200/69092 Loss: 145.672
-6400/69092 Loss: 147.772
-9600/69092 Loss: 148.168
-12800/69092 Loss: 146.215
-16000/69092 Loss: 146.079
-19200/69092 Loss: 147.056
-22400/69092 Loss: 147.892
-25600/69092 Loss: 146.288
-28800/69092 Loss: 148.293
-32000/69092 Loss: 148.328
-35200/69092 Loss: 143.436
-38400/69092 Loss: 145.152
-41600/69092 Loss: 146.213
-44800/69092 Loss: 148.472
-48000/69092 Loss: 145.735
-51200/69092 Loss: 147.423
-54400/69092 Loss: 148.034
-57600/69092 Loss: 148.200
-60800/69092 Loss: 146.902
-64000/69092 Loss: 147.962
-67200/69092 Loss: 145.349
-Training time 0:04:50.557487
-Epoch: 61 Average loss: 146.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 62)
-0/69092 Loss: 152.315
-3200/69092 Loss: 145.624
-6400/69092 Loss: 144.994
-9600/69092 Loss: 146.370
-12800/69092 Loss: 145.070
-16000/69092 Loss: 147.258
-19200/69092 Loss: 146.463
-22400/69092 Loss: 146.461
-25600/69092 Loss: 146.188
-28800/69092 Loss: 149.226
-32000/69092 Loss: 146.179
-35200/69092 Loss: 143.983
-38400/69092 Loss: 145.782
-41600/69092 Loss: 149.198
-44800/69092 Loss: 145.018
-48000/69092 Loss: 149.167
-51200/69092 Loss: 147.337
-54400/69092 Loss: 146.529
-57600/69092 Loss: 148.921
-60800/69092 Loss: 148.086
-64000/69092 Loss: 148.350
-67200/69092 Loss: 148.678
-Training time 0:04:52.219880
-Epoch: 62 Average loss: 146.92
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 63)
-0/69092 Loss: 150.422
-3200/69092 Loss: 145.658
-6400/69092 Loss: 148.464
-9600/69092 Loss: 144.912
-12800/69092 Loss: 146.988
-16000/69092 Loss: 145.140
-19200/69092 Loss: 147.034
-22400/69092 Loss: 149.184
-25600/69092 Loss: 143.026
-28800/69092 Loss: 145.987
-32000/69092 Loss: 144.233
-35200/69092 Loss: 148.456
-38400/69092 Loss: 144.521
-41600/69092 Loss: 146.424
-44800/69092 Loss: 146.320
-48000/69092 Loss: 146.144
-51200/69092 Loss: 149.693
-54400/69092 Loss: 147.905
-57600/69092 Loss: 145.137
-60800/69092 Loss: 147.358
-64000/69092 Loss: 146.544
-67200/69092 Loss: 146.999
-Training time 0:04:41.221411
-Epoch: 63 Average loss: 146.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 64)
-0/69092 Loss: 171.182
-3200/69092 Loss: 144.032
-6400/69092 Loss: 149.165
-9600/69092 Loss: 146.192
-12800/69092 Loss: 145.012
-16000/69092 Loss: 147.469
-19200/69092 Loss: 146.261
-22400/69092 Loss: 147.494
-25600/69092 Loss: 147.959
-28800/69092 Loss: 144.652
-32000/69092 Loss: 147.345
-35200/69092 Loss: 145.761
-38400/69092 Loss: 147.931
-41600/69092 Loss: 148.879
-44800/69092 Loss: 146.097
-48000/69092 Loss: 148.339
-51200/69092 Loss: 146.139
-54400/69092 Loss: 145.088
-57600/69092 Loss: 147.679
-60800/69092 Loss: 144.936
-64000/69092 Loss: 146.873
-67200/69092 Loss: 146.842
-Training time 0:04:50.096951
-Epoch: 64 Average loss: 146.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 65)
-0/69092 Loss: 133.547
-3200/69092 Loss: 146.622
-6400/69092 Loss: 145.129
-9600/69092 Loss: 145.236
-12800/69092 Loss: 149.343
-16000/69092 Loss: 145.954
-19200/69092 Loss: 148.716
-22400/69092 Loss: 149.692
-25600/69092 Loss: 144.304
-28800/69092 Loss: 148.359
-32000/69092 Loss: 147.637
-35200/69092 Loss: 144.991
-38400/69092 Loss: 144.874
-41600/69092 Loss: 146.725
-44800/69092 Loss: 149.184
-48000/69092 Loss: 147.321
-51200/69092 Loss: 148.040
-54400/69092 Loss: 146.115
-57600/69092 Loss: 145.868
-60800/69092 Loss: 146.311
-64000/69092 Loss: 147.308
-67200/69092 Loss: 143.867
-Training time 0:04:57.613096
-Epoch: 65 Average loss: 146.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 66)
-0/69092 Loss: 137.107
-3200/69092 Loss: 144.685
-6400/69092 Loss: 146.227
-9600/69092 Loss: 146.986
-12800/69092 Loss: 145.772
-16000/69092 Loss: 144.567
-19200/69092 Loss: 149.107
-22400/69092 Loss: 146.743
-25600/69092 Loss: 146.766
-28800/69092 Loss: 146.158
-32000/69092 Loss: 147.916
-35200/69092 Loss: 143.342
-38400/69092 Loss: 146.238
-41600/69092 Loss: 148.321
-44800/69092 Loss: 147.586
-48000/69092 Loss: 146.530
-51200/69092 Loss: 146.869
-54400/69092 Loss: 148.187
-57600/69092 Loss: 149.371
-60800/69092 Loss: 149.565
-64000/69092 Loss: 145.194
-67200/69092 Loss: 147.560
-Training time 0:04:44.057703
-Epoch: 66 Average loss: 146.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 67)
-0/69092 Loss: 132.834
-3200/69092 Loss: 150.361
-6400/69092 Loss: 146.893
-9600/69092 Loss: 147.579
-12800/69092 Loss: 146.295
-16000/69092 Loss: 145.771
-19200/69092 Loss: 146.264
-22400/69092 Loss: 146.407
-25600/69092 Loss: 147.373
-28800/69092 Loss: 144.665
-32000/69092 Loss: 145.544
-35200/69092 Loss: 146.769
-38400/69092 Loss: 146.017
-41600/69092 Loss: 148.503
-44800/69092 Loss: 145.678
-48000/69092 Loss: 144.804
-51200/69092 Loss: 149.534
-54400/69092 Loss: 145.693
-57600/69092 Loss: 147.367
-60800/69092 Loss: 147.390
-64000/69092 Loss: 147.381
-67200/69092 Loss: 146.191
-Training time 0:04:46.229026
-Epoch: 67 Average loss: 146.80
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 68)
-0/69092 Loss: 156.265
-3200/69092 Loss: 147.226
-6400/69092 Loss: 144.118
-9600/69092 Loss: 150.272
-12800/69092 Loss: 148.052
-16000/69092 Loss: 147.857
-19200/69092 Loss: 147.257
-22400/69092 Loss: 147.120
-25600/69092 Loss: 147.883
-28800/69092 Loss: 146.170
-32000/69092 Loss: 146.023
-35200/69092 Loss: 148.848
-38400/69092 Loss: 145.555
-41600/69092 Loss: 146.862
-44800/69092 Loss: 147.628
-48000/69092 Loss: 148.706
-51200/69092 Loss: 145.668
-54400/69092 Loss: 146.020
-57600/69092 Loss: 143.698
-60800/69092 Loss: 145.418
-64000/69092 Loss: 146.778
-67200/69092 Loss: 147.013
-Training time 0:04:44.444230
-Epoch: 68 Average loss: 146.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 69)
-0/69092 Loss: 141.757
-3200/69092 Loss: 146.667
-6400/69092 Loss: 148.135
-9600/69092 Loss: 144.239
-12800/69092 Loss: 146.948
-16000/69092 Loss: 145.072
-19200/69092 Loss: 147.376
-22400/69092 Loss: 147.459
-25600/69092 Loss: 147.408
-28800/69092 Loss: 146.334
-32000/69092 Loss: 145.263
-35200/69092 Loss: 146.575
-38400/69092 Loss: 144.863
-41600/69092 Loss: 149.402
-44800/69092 Loss: 146.329
-48000/69092 Loss: 146.814
-51200/69092 Loss: 148.077
-54400/69092 Loss: 147.105
-57600/69092 Loss: 148.299
-60800/69092 Loss: 146.524
-64000/69092 Loss: 143.302
-67200/69092 Loss: 147.207
-Training time 0:04:46.047948
-Epoch: 69 Average loss: 146.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 70)
-0/69092 Loss: 141.410
-3200/69092 Loss: 146.306
-6400/69092 Loss: 150.284
-9600/69092 Loss: 147.467
-12800/69092 Loss: 145.598
-16000/69092 Loss: 145.802
-19200/69092 Loss: 145.539
-22400/69092 Loss: 144.361
-25600/69092 Loss: 147.736
-28800/69092 Loss: 145.281
-32000/69092 Loss: 145.185
-35200/69092 Loss: 146.842
-38400/69092 Loss: 147.779
-41600/69092 Loss: 147.431
-44800/69092 Loss: 145.748
-48000/69092 Loss: 147.031
-51200/69092 Loss: 144.653
-54400/69092 Loss: 147.337
-57600/69092 Loss: 147.096
-60800/69092 Loss: 149.250
-64000/69092 Loss: 146.275
-67200/69092 Loss: 145.122
-Training time 0:04:45.749935
-Epoch: 70 Average loss: 146.53
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 71)
-0/69092 Loss: 146.901
-3200/69092 Loss: 148.857
-6400/69092 Loss: 145.309
-9600/69092 Loss: 148.464
-12800/69092 Loss: 145.992
-16000/69092 Loss: 145.157
-19200/69092 Loss: 144.117
-22400/69092 Loss: 150.274
-25600/69092 Loss: 146.916
-28800/69092 Loss: 146.169
-32000/69092 Loss: 143.758
-35200/69092 Loss: 150.341
-38400/69092 Loss: 149.049
-41600/69092 Loss: 146.319
-44800/69092 Loss: 146.374
-48000/69092 Loss: 147.975
-51200/69092 Loss: 148.639
-54400/69092 Loss: 145.146
-57600/69092 Loss: 146.491
-60800/69092 Loss: 145.525
-64000/69092 Loss: 148.042
-67200/69092 Loss: 144.941
-Training time 0:04:44.314991
-Epoch: 71 Average loss: 146.89
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 72)
-0/69092 Loss: 136.750
-3200/69092 Loss: 143.544
-6400/69092 Loss: 143.704
-9600/69092 Loss: 148.213
-12800/69092 Loss: 148.150
-16000/69092 Loss: 147.150
-19200/69092 Loss: 145.401
-22400/69092 Loss: 149.390
-25600/69092 Loss: 146.899
-28800/69092 Loss: 147.619
-32000/69092 Loss: 146.977
-35200/69092 Loss: 146.808
-38400/69092 Loss: 148.002
-41600/69092 Loss: 147.236
-44800/69092 Loss: 145.674
-48000/69092 Loss: 146.777
-51200/69092 Loss: 146.922
-54400/69092 Loss: 145.737
-57600/69092 Loss: 149.854
-60800/69092 Loss: 145.690
-64000/69092 Loss: 147.044
-67200/69092 Loss: 144.801
-Training time 0:04:44.887256
-Epoch: 72 Average loss: 146.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 73)
-0/69092 Loss: 143.328
-3200/69092 Loss: 146.134
-6400/69092 Loss: 147.602
-9600/69092 Loss: 145.674
-12800/69092 Loss: 146.106
-16000/69092 Loss: 144.240
-19200/69092 Loss: 146.586
-22400/69092 Loss: 146.861
-25600/69092 Loss: 146.332
-28800/69092 Loss: 146.855
-32000/69092 Loss: 146.523
-35200/69092 Loss: 145.526
-38400/69092 Loss: 147.427
-41600/69092 Loss: 147.800
-44800/69092 Loss: 149.240
-48000/69092 Loss: 147.022
-51200/69092 Loss: 148.705
-54400/69092 Loss: 147.315
-57600/69092 Loss: 147.294
-60800/69092 Loss: 145.819
-64000/69092 Loss: 144.981
-67200/69092 Loss: 147.104
-Training time 0:04:45.578236
-Epoch: 73 Average loss: 146.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 74)
-0/69092 Loss: 148.127
-3200/69092 Loss: 147.190
-6400/69092 Loss: 145.206
-9600/69092 Loss: 146.966
-12800/69092 Loss: 144.832
-16000/69092 Loss: 146.914
-19200/69092 Loss: 146.511
-22400/69092 Loss: 146.988
-25600/69092 Loss: 149.029
-28800/69092 Loss: 145.859
-32000/69092 Loss: 147.268
-35200/69092 Loss: 148.214
-38400/69092 Loss: 146.391
-41600/69092 Loss: 146.535
-44800/69092 Loss: 148.129
-48000/69092 Loss: 148.398
-51200/69092 Loss: 146.996
-54400/69092 Loss: 145.574
-57600/69092 Loss: 145.142
-60800/69092 Loss: 148.766
-64000/69092 Loss: 147.201
-67200/69092 Loss: 144.287
-Training time 0:04:47.385231
-Epoch: 74 Average loss: 146.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 75)
-0/69092 Loss: 145.387
-3200/69092 Loss: 147.010
-6400/69092 Loss: 146.720
-9600/69092 Loss: 145.023
-12800/69092 Loss: 144.783
-16000/69092 Loss: 145.967
-19200/69092 Loss: 147.753
-22400/69092 Loss: 149.264
-25600/69092 Loss: 147.752
-28800/69092 Loss: 145.571
-32000/69092 Loss: 145.894
-35200/69092 Loss: 146.341
-38400/69092 Loss: 150.516
-41600/69092 Loss: 144.471
-44800/69092 Loss: 147.365
-48000/69092 Loss: 146.712
-51200/69092 Loss: 147.938
-54400/69092 Loss: 147.917
-57600/69092 Loss: 145.684
-60800/69092 Loss: 146.698
-64000/69092 Loss: 145.271
-67200/69092 Loss: 146.297
-Training time 0:04:52.850931
-Epoch: 75 Average loss: 146.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 76)
-0/69092 Loss: 134.811
-3200/69092 Loss: 147.197
-6400/69092 Loss: 144.804
-9600/69092 Loss: 144.591
-12800/69092 Loss: 143.718
-16000/69092 Loss: 147.373
-19200/69092 Loss: 148.129
-22400/69092 Loss: 146.322
-25600/69092 Loss: 147.842
-28800/69092 Loss: 146.666
-32000/69092 Loss: 142.722
-35200/69092 Loss: 148.314
-38400/69092 Loss: 145.398
-41600/69092 Loss: 149.611
-44800/69092 Loss: 145.691
-48000/69092 Loss: 146.587
-51200/69092 Loss: 147.103
-54400/69092 Loss: 147.075
-57600/69092 Loss: 146.253
-60800/69092 Loss: 147.973
-64000/69092 Loss: 147.565
-67200/69092 Loss: 144.309
-Training time 0:04:38.922155
-Epoch: 76 Average loss: 146.48
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 77)
-0/69092 Loss: 161.470
-3200/69092 Loss: 148.837
-6400/69092 Loss: 145.034
-9600/69092 Loss: 146.081
-12800/69092 Loss: 146.551
-16000/69092 Loss: 150.407
-19200/69092 Loss: 145.112
-22400/69092 Loss: 147.386
-25600/69092 Loss: 145.021
-28800/69092 Loss: 144.185
-32000/69092 Loss: 150.343
-35200/69092 Loss: 145.518
-38400/69092 Loss: 143.175
-41600/69092 Loss: 145.601
-44800/69092 Loss: 146.190
-48000/69092 Loss: 147.611
-51200/69092 Loss: 144.955
-54400/69092 Loss: 145.267
-57600/69092 Loss: 143.007
-60800/69092 Loss: 145.417
-64000/69092 Loss: 148.023
-67200/69092 Loss: 148.796
-Training time 0:04:49.948629
-Epoch: 77 Average loss: 146.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 78)
-0/69092 Loss: 132.900
-3200/69092 Loss: 144.037
-6400/69092 Loss: 147.456
-9600/69092 Loss: 147.700
-12800/69092 Loss: 142.977
-16000/69092 Loss: 144.563
-19200/69092 Loss: 148.978
-22400/69092 Loss: 146.363
-25600/69092 Loss: 146.626
-28800/69092 Loss: 143.578
-32000/69092 Loss: 146.683
-35200/69092 Loss: 145.173
-38400/69092 Loss: 145.595
-41600/69092 Loss: 147.735
-44800/69092 Loss: 145.994
-48000/69092 Loss: 147.550
-51200/69092 Loss: 149.236
-54400/69092 Loss: 149.362
-57600/69092 Loss: 145.351
-60800/69092 Loss: 145.817
-64000/69092 Loss: 147.280
-67200/69092 Loss: 148.197
-Training time 0:04:48.329674
-Epoch: 78 Average loss: 146.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 79)
-0/69092 Loss: 146.488
-3200/69092 Loss: 148.755
-6400/69092 Loss: 147.160
-9600/69092 Loss: 147.761
-12800/69092 Loss: 146.850
-16000/69092 Loss: 146.065
-19200/69092 Loss: 148.065
-22400/69092 Loss: 146.303
-25600/69092 Loss: 144.103
-28800/69092 Loss: 145.871
-32000/69092 Loss: 145.392
-35200/69092 Loss: 149.758
-38400/69092 Loss: 143.850
-41600/69092 Loss: 144.490
-44800/69092 Loss: 147.981
-48000/69092 Loss: 147.345
-51200/69092 Loss: 144.965
-54400/69092 Loss: 145.190
-57600/69092 Loss: 145.986
-60800/69092 Loss: 147.443
-64000/69092 Loss: 146.229
-67200/69092 Loss: 147.378
-Training time 0:04:48.934611
-Epoch: 79 Average loss: 146.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 80)
-0/69092 Loss: 157.176
-3200/69092 Loss: 145.926
-6400/69092 Loss: 143.998
-9600/69092 Loss: 145.831
-12800/69092 Loss: 146.750
-16000/69092 Loss: 144.284
-19200/69092 Loss: 146.421
-22400/69092 Loss: 146.518
-25600/69092 Loss: 146.410
-28800/69092 Loss: 146.470
-32000/69092 Loss: 148.159
-35200/69092 Loss: 148.378
-38400/69092 Loss: 147.588
-41600/69092 Loss: 146.371
-44800/69092 Loss: 146.708
-48000/69092 Loss: 146.941
-51200/69092 Loss: 148.051
-54400/69092 Loss: 148.573
-57600/69092 Loss: 145.871
-60800/69092 Loss: 145.712
-64000/69092 Loss: 144.300
-67200/69092 Loss: 148.144
-Training time 0:04:52.228795
-Epoch: 80 Average loss: 146.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 81)
-0/69092 Loss: 153.261
-3200/69092 Loss: 148.666
-6400/69092 Loss: 148.354
-9600/69092 Loss: 147.904
-12800/69092 Loss: 146.296
-16000/69092 Loss: 143.740
-19200/69092 Loss: 147.392
-22400/69092 Loss: 147.917
-25600/69092 Loss: 145.985
-28800/69092 Loss: 148.436
-32000/69092 Loss: 148.712
-35200/69092 Loss: 145.638
-38400/69092 Loss: 145.446
-41600/69092 Loss: 144.139
-44800/69092 Loss: 143.804
-48000/69092 Loss: 147.053
-51200/69092 Loss: 145.991
-54400/69092 Loss: 147.518
-57600/69092 Loss: 148.761
-60800/69092 Loss: 146.601
-64000/69092 Loss: 144.337
-67200/69092 Loss: 145.645
-Training time 0:04:45.350943
-Epoch: 81 Average loss: 146.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 82)
-0/69092 Loss: 153.126
-3200/69092 Loss: 148.162
-6400/69092 Loss: 143.942
-9600/69092 Loss: 144.100
-12800/69092 Loss: 145.566
-16000/69092 Loss: 147.425
-19200/69092 Loss: 149.394
-22400/69092 Loss: 148.007
-25600/69092 Loss: 144.938
-28800/69092 Loss: 146.931
-32000/69092 Loss: 145.399
-35200/69092 Loss: 144.522
-38400/69092 Loss: 146.210
-41600/69092 Loss: 148.657
-44800/69092 Loss: 147.164
-48000/69092 Loss: 147.403
-51200/69092 Loss: 145.348
-54400/69092 Loss: 143.764
-57600/69092 Loss: 147.150
-60800/69092 Loss: 146.995
-64000/69092 Loss: 148.026
-67200/69092 Loss: 145.771
-Training time 0:04:51.941539
-Epoch: 82 Average loss: 146.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 83)
-0/69092 Loss: 176.068
-3200/69092 Loss: 145.124
-6400/69092 Loss: 143.828
-9600/69092 Loss: 149.005
-12800/69092 Loss: 148.229
-16000/69092 Loss: 147.771
-19200/69092 Loss: 144.125
-22400/69092 Loss: 147.251
-25600/69092 Loss: 146.498
-28800/69092 Loss: 146.091
-32000/69092 Loss: 147.282
-35200/69092 Loss: 145.029
-38400/69092 Loss: 146.293
-41600/69092 Loss: 147.910
-44800/69092 Loss: 149.290
-48000/69092 Loss: 146.987
-51200/69092 Loss: 145.287
-54400/69092 Loss: 150.488
-57600/69092 Loss: 145.710
-60800/69092 Loss: 144.541
-64000/69092 Loss: 145.557
-67200/69092 Loss: 145.058
-Training time 0:04:48.348697
-Epoch: 83 Average loss: 146.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 84)
-0/69092 Loss: 144.708
-3200/69092 Loss: 144.832
-6400/69092 Loss: 145.334
-9600/69092 Loss: 146.718
-12800/69092 Loss: 147.947
-16000/69092 Loss: 146.680
-19200/69092 Loss: 147.667
-22400/69092 Loss: 145.028
-25600/69092 Loss: 147.608
-28800/69092 Loss: 145.457
-32000/69092 Loss: 145.508
-35200/69092 Loss: 148.174
-38400/69092 Loss: 149.388
-41600/69092 Loss: 146.454
-44800/69092 Loss: 147.681
-48000/69092 Loss: 146.904
-51200/69092 Loss: 145.659
-54400/69092 Loss: 144.355
-57600/69092 Loss: 148.931
-60800/69092 Loss: 144.741
-64000/69092 Loss: 147.586
-67200/69092 Loss: 144.604
-Training time 0:04:47.092381
-Epoch: 84 Average loss: 146.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 85)
-0/69092 Loss: 150.844
-3200/69092 Loss: 149.226
-6400/69092 Loss: 145.229
-9600/69092 Loss: 146.837
-12800/69092 Loss: 145.042
-16000/69092 Loss: 147.181
-19200/69092 Loss: 146.465
-22400/69092 Loss: 147.421
-25600/69092 Loss: 147.043
-28800/69092 Loss: 146.730
-32000/69092 Loss: 144.857
-35200/69092 Loss: 148.278
-38400/69092 Loss: 144.500
-41600/69092 Loss: 145.502
-44800/69092 Loss: 148.351
-48000/69092 Loss: 143.943
-51200/69092 Loss: 147.422
-54400/69092 Loss: 145.589
-57600/69092 Loss: 147.053
-60800/69092 Loss: 145.999
-64000/69092 Loss: 147.959
-67200/69092 Loss: 148.060
-Training time 0:04:54.056603
-Epoch: 85 Average loss: 146.51
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 86)
-0/69092 Loss: 150.501
-3200/69092 Loss: 146.975
-6400/69092 Loss: 145.075
-9600/69092 Loss: 145.210
-12800/69092 Loss: 147.565
-16000/69092 Loss: 146.472
-19200/69092 Loss: 146.963
-22400/69092 Loss: 147.741
-25600/69092 Loss: 143.369
-28800/69092 Loss: 147.038
-32000/69092 Loss: 146.497
-35200/69092 Loss: 148.039
-38400/69092 Loss: 146.521
-41600/69092 Loss: 147.316
-44800/69092 Loss: 144.388
-48000/69092 Loss: 144.874
-51200/69092 Loss: 147.348
-54400/69092 Loss: 144.612
-57600/69092 Loss: 144.866
-60800/69092 Loss: 147.650
-64000/69092 Loss: 148.534
-67200/69092 Loss: 147.284
-Training time 0:04:42.164306
-Epoch: 86 Average loss: 146.40
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 87)
-0/69092 Loss: 130.774
-3200/69092 Loss: 143.932
-6400/69092 Loss: 146.004
-9600/69092 Loss: 145.332
-12800/69092 Loss: 147.397
-16000/69092 Loss: 149.202
-19200/69092 Loss: 145.596
-22400/69092 Loss: 143.158
-25600/69092 Loss: 149.671
-28800/69092 Loss: 148.668
-32000/69092 Loss: 146.308
-35200/69092 Loss: 147.665
-38400/69092 Loss: 144.408
-41600/69092 Loss: 145.956
-44800/69092 Loss: 145.521
-48000/69092 Loss: 146.520
-51200/69092 Loss: 147.369
-54400/69092 Loss: 145.813
-57600/69092 Loss: 146.935
-60800/69092 Loss: 143.657
-64000/69092 Loss: 148.843
-67200/69092 Loss: 147.984
-Training time 0:04:49.511242
-Epoch: 87 Average loss: 146.56
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 88)
-0/69092 Loss: 172.170
-3200/69092 Loss: 147.932
-6400/69092 Loss: 148.160
-9600/69092 Loss: 146.456
-12800/69092 Loss: 147.134
-16000/69092 Loss: 145.960
-19200/69092 Loss: 145.012
-22400/69092 Loss: 144.202
-25600/69092 Loss: 148.634
-28800/69092 Loss: 142.529
-32000/69092 Loss: 145.319
-35200/69092 Loss: 145.394
-38400/69092 Loss: 145.681
-41600/69092 Loss: 146.299
-44800/69092 Loss: 146.569
-48000/69092 Loss: 147.196
-51200/69092 Loss: 146.142
-54400/69092 Loss: 145.017
-57600/69092 Loss: 146.816
-60800/69092 Loss: 148.059
-64000/69092 Loss: 147.033
-67200/69092 Loss: 146.888
-Training time 0:04:46.596728
-Epoch: 88 Average loss: 146.32
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 89)
-0/69092 Loss: 141.474
-3200/69092 Loss: 144.988
-6400/69092 Loss: 144.828
-9600/69092 Loss: 148.709
-12800/69092 Loss: 145.847
-16000/69092 Loss: 147.807
-19200/69092 Loss: 143.096
-22400/69092 Loss: 147.022
-25600/69092 Loss: 145.785
-28800/69092 Loss: 147.062
-32000/69092 Loss: 145.481
-35200/69092 Loss: 146.118
-38400/69092 Loss: 148.299
-41600/69092 Loss: 149.001
-44800/69092 Loss: 147.231
-48000/69092 Loss: 149.250
-51200/69092 Loss: 145.316
-54400/69092 Loss: 144.862
-57600/69092 Loss: 146.098
-60800/69092 Loss: 147.844
-64000/69092 Loss: 145.150
-67200/69092 Loss: 145.787
-Training time 0:04:45.924385
-Epoch: 89 Average loss: 146.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 90)
-0/69092 Loss: 150.736
-3200/69092 Loss: 143.700
-6400/69092 Loss: 147.926
-9600/69092 Loss: 146.266
-12800/69092 Loss: 147.853
-16000/69092 Loss: 146.538
-19200/69092 Loss: 146.596
-22400/69092 Loss: 144.553
-25600/69092 Loss: 144.404
-28800/69092 Loss: 145.696
-32000/69092 Loss: 144.545
-35200/69092 Loss: 144.873
-38400/69092 Loss: 148.271
-41600/69092 Loss: 149.252
-44800/69092 Loss: 145.313
-48000/69092 Loss: 146.939
-51200/69092 Loss: 145.722
-54400/69092 Loss: 147.297
-57600/69092 Loss: 146.017
-60800/69092 Loss: 143.556
-64000/69092 Loss: 147.418
-67200/69092 Loss: 149.259
-Training time 0:04:36.654075
-Epoch: 90 Average loss: 146.26
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 91)
-0/69092 Loss: 130.866
-3200/69092 Loss: 147.000
-6400/69092 Loss: 146.036
-9600/69092 Loss: 145.496
-12800/69092 Loss: 143.556
-16000/69092 Loss: 143.745
-19200/69092 Loss: 146.638
-22400/69092 Loss: 147.189
-25600/69092 Loss: 148.213
-28800/69092 Loss: 148.934
-32000/69092 Loss: 147.896
-35200/69092 Loss: 146.729
-38400/69092 Loss: 143.678
-41600/69092 Loss: 143.533
-44800/69092 Loss: 147.984
-48000/69092 Loss: 144.601
-51200/69092 Loss: 145.526
-54400/69092 Loss: 146.910
-57600/69092 Loss: 145.254
-60800/69092 Loss: 143.548
-64000/69092 Loss: 149.972
-67200/69092 Loss: 146.744
-Training time 0:04:45.640072
-Epoch: 91 Average loss: 146.25
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 92)
-0/69092 Loss: 143.790
-3200/69092 Loss: 148.452
-6400/69092 Loss: 148.212
-9600/69092 Loss: 146.093
-12800/69092 Loss: 146.753
-16000/69092 Loss: 146.704
-19200/69092 Loss: 145.288
-22400/69092 Loss: 145.378
-25600/69092 Loss: 145.909
-28800/69092 Loss: 144.579
-32000/69092 Loss: 147.110
-35200/69092 Loss: 149.035
-38400/69092 Loss: 146.199
-41600/69092 Loss: 147.460
-44800/69092 Loss: 147.125
-48000/69092 Loss: 145.227
-51200/69092 Loss: 143.031
-54400/69092 Loss: 143.526
-57600/69092 Loss: 146.274
-60800/69092 Loss: 144.178
-64000/69092 Loss: 147.213
-67200/69092 Loss: 146.719
-Training time 0:04:46.616076
-Epoch: 92 Average loss: 146.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 93)
-0/69092 Loss: 131.844
-3200/69092 Loss: 146.233
-6400/69092 Loss: 145.560
-9600/69092 Loss: 145.973
-12800/69092 Loss: 145.216
-16000/69092 Loss: 146.969
-19200/69092 Loss: 148.277
-22400/69092 Loss: 144.590
-25600/69092 Loss: 146.804
-28800/69092 Loss: 144.767
-32000/69092 Loss: 147.660
-35200/69092 Loss: 148.570
-38400/69092 Loss: 144.681
-41600/69092 Loss: 146.550
-44800/69092 Loss: 146.291
-48000/69092 Loss: 146.049
-51200/69092 Loss: 148.134
-54400/69092 Loss: 145.314
-57600/69092 Loss: 147.903
-60800/69092 Loss: 147.337
-64000/69092 Loss: 147.311
-67200/69092 Loss: 146.239
-Training time 0:04:33.958303
-Epoch: 93 Average loss: 146.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 94)
-0/69092 Loss: 159.987
-3200/69092 Loss: 144.610
-6400/69092 Loss: 145.484
-9600/69092 Loss: 147.181
-12800/69092 Loss: 144.933
-16000/69092 Loss: 146.598
-19200/69092 Loss: 145.728
-22400/69092 Loss: 147.576
-25600/69092 Loss: 149.163
-28800/69092 Loss: 146.879
-32000/69092 Loss: 145.968
-35200/69092 Loss: 143.184
-38400/69092 Loss: 143.644
-41600/69092 Loss: 147.400
-44800/69092 Loss: 150.723
-48000/69092 Loss: 145.739
-51200/69092 Loss: 148.812
-54400/69092 Loss: 146.706
-57600/69092 Loss: 143.072
-60800/69092 Loss: 146.473
-64000/69092 Loss: 148.354
-67200/69092 Loss: 146.095
-Training time 0:04:45.355013
-Epoch: 94 Average loss: 146.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 95)
-0/69092 Loss: 147.164
-3200/69092 Loss: 145.659
-6400/69092 Loss: 148.269
-9600/69092 Loss: 145.315
-12800/69092 Loss: 144.934
-16000/69092 Loss: 147.971
-19200/69092 Loss: 146.946
-22400/69092 Loss: 146.300
-25600/69092 Loss: 145.977
-28800/69092 Loss: 146.625
-32000/69092 Loss: 145.866
-35200/69092 Loss: 147.237
-38400/69092 Loss: 144.933
-41600/69092 Loss: 145.057
-44800/69092 Loss: 147.038
-48000/69092 Loss: 147.101
-51200/69092 Loss: 144.668
-54400/69092 Loss: 146.394
-57600/69092 Loss: 145.030
-60800/69092 Loss: 144.753
-64000/69092 Loss: 142.859
-67200/69092 Loss: 150.341
-Training time 0:04:49.958558
-Epoch: 95 Average loss: 146.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 96)
-0/69092 Loss: 158.442
-3200/69092 Loss: 142.351
-6400/69092 Loss: 142.983
-9600/69092 Loss: 145.565
-12800/69092 Loss: 144.412
-16000/69092 Loss: 145.774
-19200/69092 Loss: 146.258
-22400/69092 Loss: 146.872
-25600/69092 Loss: 147.029
-28800/69092 Loss: 147.865
-32000/69092 Loss: 148.307
-35200/69092 Loss: 145.273
-38400/69092 Loss: 144.069
-41600/69092 Loss: 145.431
-44800/69092 Loss: 146.413
-48000/69092 Loss: 146.679
-51200/69092 Loss: 144.460
-54400/69092 Loss: 145.622
-57600/69092 Loss: 147.939
-60800/69092 Loss: 147.975
-64000/69092 Loss: 146.828
-67200/69092 Loss: 149.784
-Training time 0:04:49.432118
-Epoch: 96 Average loss: 146.24
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 97)
-0/69092 Loss: 150.812
-3200/69092 Loss: 147.672
-6400/69092 Loss: 148.727
-9600/69092 Loss: 144.173
-12800/69092 Loss: 147.766
-16000/69092 Loss: 144.169
-19200/69092 Loss: 145.384
-22400/69092 Loss: 145.715
-25600/69092 Loss: 145.146
-28800/69092 Loss: 148.175
-32000/69092 Loss: 145.735
-35200/69092 Loss: 146.501
-38400/69092 Loss: 149.295
-41600/69092 Loss: 146.113
-44800/69092 Loss: 142.665
-48000/69092 Loss: 146.194
-51200/69092 Loss: 147.126
-54400/69092 Loss: 146.652
-57600/69092 Loss: 145.176
-60800/69092 Loss: 146.656
-64000/69092 Loss: 146.244
-67200/69092 Loss: 146.630
-Training time 0:04:48.152766
-Epoch: 97 Average loss: 146.25
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 98)
-0/69092 Loss: 137.869
-3200/69092 Loss: 144.554
-6400/69092 Loss: 147.447
-9600/69092 Loss: 147.078
-12800/69092 Loss: 147.414
-16000/69092 Loss: 145.274
-19200/69092 Loss: 143.583
-22400/69092 Loss: 146.877
-25600/69092 Loss: 145.375
-28800/69092 Loss: 144.806
-32000/69092 Loss: 147.440
-35200/69092 Loss: 144.985
-38400/69092 Loss: 145.597
-41600/69092 Loss: 145.825
-44800/69092 Loss: 146.902
-48000/69092 Loss: 146.497
-51200/69092 Loss: 147.173
-54400/69092 Loss: 147.590
-57600/69092 Loss: 143.967
-60800/69092 Loss: 146.571
-64000/69092 Loss: 147.073
-67200/69092 Loss: 148.854
-Training time 0:04:50.807013
-Epoch: 98 Average loss: 146.28
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 99)
-0/69092 Loss: 154.239
-3200/69092 Loss: 144.396
-6400/69092 Loss: 147.155
-9600/69092 Loss: 144.404
-12800/69092 Loss: 144.719
-16000/69092 Loss: 144.030
-19200/69092 Loss: 145.726
-22400/69092 Loss: 145.985
-25600/69092 Loss: 146.530
-28800/69092 Loss: 146.298
-32000/69092 Loss: 145.471
-35200/69092 Loss: 146.877
-38400/69092 Loss: 149.247
-41600/69092 Loss: 147.390
-44800/69092 Loss: 146.625
-48000/69092 Loss: 148.406
-51200/69092 Loss: 146.172
-54400/69092 Loss: 147.904
-57600/69092 Loss: 143.994
-60800/69092 Loss: 145.696
-64000/69092 Loss: 144.117
-67200/69092 Loss: 147.643
-Training time 0:04:49.392991
-Epoch: 99 Average loss: 146.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 100)
-0/69092 Loss: 138.864
-3200/69092 Loss: 144.660
-6400/69092 Loss: 146.022
-9600/69092 Loss: 148.185
-12800/69092 Loss: 146.598
-16000/69092 Loss: 146.159
-19200/69092 Loss: 146.482
-22400/69092 Loss: 147.925
-25600/69092 Loss: 144.232
-28800/69092 Loss: 142.620
-32000/69092 Loss: 146.098
-35200/69092 Loss: 145.490
-38400/69092 Loss: 148.119
-41600/69092 Loss: 148.468
-44800/69092 Loss: 146.462
-48000/69092 Loss: 143.704
-51200/69092 Loss: 144.804
-54400/69092 Loss: 145.402
-57600/69092 Loss: 147.141
-60800/69092 Loss: 148.049
-64000/69092 Loss: 147.209
-67200/69092 Loss: 145.067
-Training time 0:05:02.259688
-Epoch: 100 Average loss: 146.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 101)
-0/69092 Loss: 139.731
-3200/69092 Loss: 146.653
-6400/69092 Loss: 146.633
-9600/69092 Loss: 146.183
-12800/69092 Loss: 146.290
-16000/69092 Loss: 145.528
-19200/69092 Loss: 146.658
-22400/69092 Loss: 144.775
-25600/69092 Loss: 147.836
-28800/69092 Loss: 145.933
-32000/69092 Loss: 145.502
-35200/69092 Loss: 149.519
-38400/69092 Loss: 146.157
-41600/69092 Loss: 143.665
-44800/69092 Loss: 146.125
-48000/69092 Loss: 145.846
-51200/69092 Loss: 145.099
-54400/69092 Loss: 145.854
-57600/69092 Loss: 149.682
-60800/69092 Loss: 146.248
-64000/69092 Loss: 145.447
-67200/69092 Loss: 145.757
-Training time 0:04:50.492272
-Epoch: 101 Average loss: 146.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 102)
-0/69092 Loss: 137.845
-3200/69092 Loss: 146.728
-6400/69092 Loss: 148.161
-9600/69092 Loss: 145.300
-12800/69092 Loss: 145.649
-16000/69092 Loss: 146.977
-19200/69092 Loss: 146.316
-22400/69092 Loss: 144.493
-25600/69092 Loss: 148.020
-28800/69092 Loss: 145.930
-32000/69092 Loss: 147.541
-35200/69092 Loss: 143.148
-38400/69092 Loss: 144.819
-41600/69092 Loss: 145.984
-44800/69092 Loss: 146.177
-48000/69092 Loss: 147.886
-51200/69092 Loss: 147.379
-54400/69092 Loss: 146.163
-57600/69092 Loss: 145.780
-60800/69092 Loss: 143.685
-64000/69092 Loss: 147.160
-67200/69092 Loss: 146.238
-Training time 0:04:56.379840
-Epoch: 102 Average loss: 146.03
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 103)
-0/69092 Loss: 146.581
-3200/69092 Loss: 145.429
-6400/69092 Loss: 145.708
-9600/69092 Loss: 147.823
-12800/69092 Loss: 145.072
-16000/69092 Loss: 145.139
-19200/69092 Loss: 148.050
-22400/69092 Loss: 145.983
-25600/69092 Loss: 146.083
-28800/69092 Loss: 147.766
-32000/69092 Loss: 145.270
-35200/69092 Loss: 146.375
-38400/69092 Loss: 146.013
-41600/69092 Loss: 146.810
-44800/69092 Loss: 144.908
-48000/69092 Loss: 150.633
-51200/69092 Loss: 144.139
-54400/69092 Loss: 147.514
-57600/69092 Loss: 146.007
-60800/69092 Loss: 146.419
-64000/69092 Loss: 144.330
-67200/69092 Loss: 146.160
-Training time 0:04:54.375537
-Epoch: 103 Average loss: 146.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 104)
-0/69092 Loss: 130.534
-3200/69092 Loss: 145.072
-6400/69092 Loss: 144.192
-9600/69092 Loss: 146.945
-12800/69092 Loss: 144.152
-16000/69092 Loss: 146.369
-19200/69092 Loss: 147.721
-22400/69092 Loss: 145.291
-25600/69092 Loss: 148.231
-28800/69092 Loss: 147.630
-32000/69092 Loss: 146.201
-35200/69092 Loss: 145.965
-38400/69092 Loss: 147.652
-41600/69092 Loss: 143.750
-44800/69092 Loss: 144.310
-48000/69092 Loss: 146.166
-51200/69092 Loss: 146.873
-54400/69092 Loss: 146.049
-57600/69092 Loss: 146.260
-60800/69092 Loss: 145.330
-64000/69092 Loss: 146.802
-67200/69092 Loss: 146.804
-Training time 0:04:59.427512
-Epoch: 104 Average loss: 146.08
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 105)
-0/69092 Loss: 132.117
-3200/69092 Loss: 146.253
-6400/69092 Loss: 145.019
-9600/69092 Loss: 148.625
-12800/69092 Loss: 145.470
-16000/69092 Loss: 147.295
-19200/69092 Loss: 146.672
-22400/69092 Loss: 145.614
-25600/69092 Loss: 146.372
-28800/69092 Loss: 144.464
-32000/69092 Loss: 144.707
-35200/69092 Loss: 143.969
-38400/69092 Loss: 148.209
-41600/69092 Loss: 147.600
-44800/69092 Loss: 148.195
-48000/69092 Loss: 147.528
-51200/69092 Loss: 145.292
-54400/69092 Loss: 145.971
-57600/69092 Loss: 143.792
-60800/69092 Loss: 148.743
-64000/69092 Loss: 147.708
-67200/69092 Loss: 145.900
-Training time 0:04:59.014296
-Epoch: 105 Average loss: 146.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 106)
-0/69092 Loss: 145.947
-3200/69092 Loss: 148.659
-6400/69092 Loss: 144.583
-9600/69092 Loss: 147.626
-12800/69092 Loss: 146.635
-16000/69092 Loss: 144.842
-19200/69092 Loss: 145.490
-22400/69092 Loss: 144.518
-25600/69092 Loss: 143.298
-28800/69092 Loss: 149.115
-32000/69092 Loss: 145.910
-35200/69092 Loss: 145.557
-38400/69092 Loss: 145.652
-41600/69092 Loss: 145.566
-44800/69092 Loss: 145.848
-48000/69092 Loss: 147.078
-51200/69092 Loss: 147.832
-54400/69092 Loss: 146.577
-57600/69092 Loss: 144.249
-60800/69092 Loss: 146.791
-64000/69092 Loss: 144.408
-67200/69092 Loss: 146.397
-Training time 0:04:50.408624
-Epoch: 106 Average loss: 146.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 107)
-0/69092 Loss: 151.039
-3200/69092 Loss: 148.167
-6400/69092 Loss: 144.562
-9600/69092 Loss: 145.521
-12800/69092 Loss: 148.811
-16000/69092 Loss: 145.789
-19200/69092 Loss: 146.616
-22400/69092 Loss: 146.180
-25600/69092 Loss: 144.805
-28800/69092 Loss: 145.103
-32000/69092 Loss: 148.776
-35200/69092 Loss: 144.775
-38400/69092 Loss: 144.048
-41600/69092 Loss: 144.765
-44800/69092 Loss: 149.169
-48000/69092 Loss: 147.047
-51200/69092 Loss: 147.648
-54400/69092 Loss: 146.018
-57600/69092 Loss: 143.473
-60800/69092 Loss: 147.100
-64000/69092 Loss: 144.868
-67200/69092 Loss: 145.224
-Training time 0:04:37.447307
-Epoch: 107 Average loss: 146.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 108)
-0/69092 Loss: 128.266
-3200/69092 Loss: 145.199
-6400/69092 Loss: 147.147
-9600/69092 Loss: 149.362
-12800/69092 Loss: 144.580
-16000/69092 Loss: 146.901
-19200/69092 Loss: 148.808
-22400/69092 Loss: 144.811
-25600/69092 Loss: 144.553
-28800/69092 Loss: 146.868
-32000/69092 Loss: 147.421
-35200/69092 Loss: 145.371
-38400/69092 Loss: 146.525
-41600/69092 Loss: 145.474
-44800/69092 Loss: 146.642
-48000/69092 Loss: 144.745
-51200/69092 Loss: 145.890
-54400/69092 Loss: 143.847
-57600/69092 Loss: 147.177
-60800/69092 Loss: 145.012
-64000/69092 Loss: 147.952
-67200/69092 Loss: 146.501
-Training time 0:04:49.045111
-Epoch: 108 Average loss: 146.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 109)
-0/69092 Loss: 148.765
-3200/69092 Loss: 146.100
-6400/69092 Loss: 144.642
-9600/69092 Loss: 147.783
-12800/69092 Loss: 150.626
-16000/69092 Loss: 148.139
-19200/69092 Loss: 143.067
-22400/69092 Loss: 143.564
-25600/69092 Loss: 145.103
-28800/69092 Loss: 144.103
-32000/69092 Loss: 146.391
-35200/69092 Loss: 145.805
-38400/69092 Loss: 147.241
-41600/69092 Loss: 146.699
-44800/69092 Loss: 144.942
-48000/69092 Loss: 143.257
-51200/69092 Loss: 147.046
-54400/69092 Loss: 145.775
-57600/69092 Loss: 146.831
-60800/69092 Loss: 146.036
-64000/69092 Loss: 144.623
-67200/69092 Loss: 146.934
-Training time 0:04:50.016618
-Epoch: 109 Average loss: 146.03
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 110)
-0/69092 Loss: 130.376
-3200/69092 Loss: 149.106
-6400/69092 Loss: 145.386
-9600/69092 Loss: 146.282
-12800/69092 Loss: 148.713
-16000/69092 Loss: 147.315
-19200/69092 Loss: 145.703
-22400/69092 Loss: 145.796
-25600/69092 Loss: 147.294
-28800/69092 Loss: 147.374
-32000/69092 Loss: 145.776
-35200/69092 Loss: 146.005
-38400/69092 Loss: 147.978
-41600/69092 Loss: 143.488
-44800/69092 Loss: 143.420
-48000/69092 Loss: 145.115
-51200/69092 Loss: 143.473
-54400/69092 Loss: 144.648
-57600/69092 Loss: 145.152
-60800/69092 Loss: 144.988
-64000/69092 Loss: 144.863
-67200/69092 Loss: 148.045
-Training time 0:04:50.847158
-Epoch: 110 Average loss: 146.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 111)
-0/69092 Loss: 165.203
-3200/69092 Loss: 145.252
-6400/69092 Loss: 145.382
-9600/69092 Loss: 147.041
-12800/69092 Loss: 147.485
-16000/69092 Loss: 145.525
-19200/69092 Loss: 146.576
-22400/69092 Loss: 145.825
-25600/69092 Loss: 146.910
-28800/69092 Loss: 145.976
-32000/69092 Loss: 146.487
-35200/69092 Loss: 147.970
-38400/69092 Loss: 142.838
-41600/69092 Loss: 147.194
-44800/69092 Loss: 146.962
-48000/69092 Loss: 148.049
-51200/69092 Loss: 143.582
-54400/69092 Loss: 144.774
-57600/69092 Loss: 145.327
-60800/69092 Loss: 144.627
-64000/69092 Loss: 146.615
-67200/69092 Loss: 147.865
-Training time 0:04:51.248216
-Epoch: 111 Average loss: 146.11
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 112)
-0/69092 Loss: 136.520
-3200/69092 Loss: 144.773
-6400/69092 Loss: 144.679
-9600/69092 Loss: 146.260
-12800/69092 Loss: 147.670
-16000/69092 Loss: 144.617
-19200/69092 Loss: 144.163
-22400/69092 Loss: 145.293
-25600/69092 Loss: 143.857
-28800/69092 Loss: 147.111
-32000/69092 Loss: 146.718
-35200/69092 Loss: 146.649
-38400/69092 Loss: 145.887
-41600/69092 Loss: 147.043
-44800/69092 Loss: 144.844
-48000/69092 Loss: 146.134
-51200/69092 Loss: 146.961
-54400/69092 Loss: 145.410
-57600/69092 Loss: 146.247
-60800/69092 Loss: 146.507
-64000/69092 Loss: 151.692
-67200/69092 Loss: 146.187
-Training time 0:04:45.679753
-Epoch: 112 Average loss: 146.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 113)
-0/69092 Loss: 146.427
-3200/69092 Loss: 145.019
-6400/69092 Loss: 144.179
-9600/69092 Loss: 143.454
-12800/69092 Loss: 145.496
-16000/69092 Loss: 147.107
-19200/69092 Loss: 148.987
-22400/69092 Loss: 147.540
-25600/69092 Loss: 144.192
-28800/69092 Loss: 145.857
-32000/69092 Loss: 146.907
-35200/69092 Loss: 147.025
-38400/69092 Loss: 147.464
-41600/69092 Loss: 145.127
-44800/69092 Loss: 145.134
-48000/69092 Loss: 146.232
-51200/69092 Loss: 148.749
-54400/69092 Loss: 147.042
-57600/69092 Loss: 146.374
-60800/69092 Loss: 145.059
-64000/69092 Loss: 145.683
-67200/69092 Loss: 143.474
-Training time 0:04:46.129673
-Epoch: 113 Average loss: 145.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 114)
-0/69092 Loss: 144.778
-3200/69092 Loss: 143.392
-6400/69092 Loss: 147.666
-9600/69092 Loss: 146.264
-12800/69092 Loss: 143.568
-16000/69092 Loss: 145.713
-19200/69092 Loss: 144.667
-22400/69092 Loss: 144.799
-25600/69092 Loss: 147.714
-28800/69092 Loss: 147.228
-32000/69092 Loss: 144.913
-35200/69092 Loss: 143.135
-38400/69092 Loss: 145.958
-41600/69092 Loss: 147.487
-44800/69092 Loss: 147.618
-48000/69092 Loss: 145.319
-51200/69092 Loss: 147.119
-54400/69092 Loss: 146.600
-57600/69092 Loss: 146.191
-60800/69092 Loss: 147.204
-64000/69092 Loss: 146.261
-67200/69092 Loss: 146.122
-Training time 0:04:51.105844
-Epoch: 114 Average loss: 146.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 115)
-0/69092 Loss: 133.509
-3200/69092 Loss: 147.741
-6400/69092 Loss: 142.576
-9600/69092 Loss: 145.737
-12800/69092 Loss: 146.453
-16000/69092 Loss: 149.904
-19200/69092 Loss: 145.035
-22400/69092 Loss: 145.878
-25600/69092 Loss: 145.561
-28800/69092 Loss: 147.577
-32000/69092 Loss: 148.763
-35200/69092 Loss: 144.254
-38400/69092 Loss: 146.629
-41600/69092 Loss: 145.588
-44800/69092 Loss: 145.786
-48000/69092 Loss: 144.087
-51200/69092 Loss: 147.574
-54400/69092 Loss: 146.626
-57600/69092 Loss: 147.096
-60800/69092 Loss: 145.142
-64000/69092 Loss: 142.579
-67200/69092 Loss: 144.149
-Training time 0:04:43.645364
-Epoch: 115 Average loss: 146.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 116)
-0/69092 Loss: 161.732
-3200/69092 Loss: 144.177
-6400/69092 Loss: 146.406
-9600/69092 Loss: 147.298
-12800/69092 Loss: 143.329
-16000/69092 Loss: 144.917
-19200/69092 Loss: 146.169
-22400/69092 Loss: 145.983
-25600/69092 Loss: 144.672
-28800/69092 Loss: 146.303
-32000/69092 Loss: 144.998
-35200/69092 Loss: 146.761
-38400/69092 Loss: 147.210
-41600/69092 Loss: 146.413
-44800/69092 Loss: 145.364
-48000/69092 Loss: 148.832
-51200/69092 Loss: 144.940
-54400/69092 Loss: 144.519
-57600/69092 Loss: 145.309
-60800/69092 Loss: 147.307
-64000/69092 Loss: 148.331
-67200/69092 Loss: 146.517
-Training time 0:04:44.782513
-Epoch: 116 Average loss: 145.93
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 117)
-0/69092 Loss: 148.347
-3200/69092 Loss: 144.033
-6400/69092 Loss: 145.816
-9600/69092 Loss: 148.012
-12800/69092 Loss: 147.761
-16000/69092 Loss: 143.092
-19200/69092 Loss: 146.285
-22400/69092 Loss: 147.739
-25600/69092 Loss: 149.156
-28800/69092 Loss: 145.611
-32000/69092 Loss: 145.875
-35200/69092 Loss: 147.979
-38400/69092 Loss: 145.146
-41600/69092 Loss: 145.820
-44800/69092 Loss: 144.963
-48000/69092 Loss: 146.284
-51200/69092 Loss: 145.179
-54400/69092 Loss: 146.234
-57600/69092 Loss: 144.831
-60800/69092 Loss: 147.571
-64000/69092 Loss: 147.710
-67200/69092 Loss: 144.079
-Training time 0:04:46.924920
-Epoch: 117 Average loss: 146.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 118)
-0/69092 Loss: 157.480
-3200/69092 Loss: 149.274
-6400/69092 Loss: 147.107
-9600/69092 Loss: 143.046
-12800/69092 Loss: 144.197
-16000/69092 Loss: 147.376
-19200/69092 Loss: 145.885
-22400/69092 Loss: 144.901
-25600/69092 Loss: 144.866
-28800/69092 Loss: 146.456
-32000/69092 Loss: 148.189
-35200/69092 Loss: 146.113
-38400/69092 Loss: 144.089
-41600/69092 Loss: 148.923
-44800/69092 Loss: 147.606
-48000/69092 Loss: 146.035
-51200/69092 Loss: 145.660
-54400/69092 Loss: 144.232
-57600/69092 Loss: 147.091
-60800/69092 Loss: 144.818
-64000/69092 Loss: 143.162
-67200/69092 Loss: 146.966
-Training time 0:04:45.661094
-Epoch: 118 Average loss: 145.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 119)
-0/69092 Loss: 153.837
-3200/69092 Loss: 148.322
-6400/69092 Loss: 146.598
-9600/69092 Loss: 145.814
-12800/69092 Loss: 146.202
-16000/69092 Loss: 144.343
-19200/69092 Loss: 145.251
-22400/69092 Loss: 145.708
-25600/69092 Loss: 145.235
-28800/69092 Loss: 145.780
-32000/69092 Loss: 144.486
-35200/69092 Loss: 146.611
-38400/69092 Loss: 146.383
-41600/69092 Loss: 148.458
-44800/69092 Loss: 145.451
-48000/69092 Loss: 147.772
-51200/69092 Loss: 145.517
-54400/69092 Loss: 144.958
-57600/69092 Loss: 142.384
-60800/69092 Loss: 143.981
-64000/69092 Loss: 146.866
-67200/69092 Loss: 145.221
-Training time 0:04:48.385159
-Epoch: 119 Average loss: 145.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 120)
-0/69092 Loss: 136.371
-3200/69092 Loss: 143.163
-6400/69092 Loss: 143.475
-9600/69092 Loss: 148.267
-12800/69092 Loss: 147.337
-16000/69092 Loss: 146.614
-19200/69092 Loss: 144.409
-22400/69092 Loss: 147.758
-25600/69092 Loss: 147.001
-28800/69092 Loss: 145.738
-32000/69092 Loss: 144.724
-35200/69092 Loss: 144.732
-38400/69092 Loss: 146.099
-41600/69092 Loss: 145.078
-44800/69092 Loss: 147.099
-48000/69092 Loss: 146.569
-51200/69092 Loss: 146.935
-54400/69092 Loss: 146.290
-57600/69092 Loss: 145.528
-60800/69092 Loss: 147.599
-64000/69092 Loss: 144.916
-67200/69092 Loss: 148.928
-Training time 0:04:36.875365
-Epoch: 120 Average loss: 146.11
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 121)
-0/69092 Loss: 131.305
-3200/69092 Loss: 143.638
-6400/69092 Loss: 146.782
-9600/69092 Loss: 143.325
-12800/69092 Loss: 150.015
-16000/69092 Loss: 144.729
-19200/69092 Loss: 144.394
-22400/69092 Loss: 145.765
-25600/69092 Loss: 145.712
-28800/69092 Loss: 145.295
-32000/69092 Loss: 145.650
-35200/69092 Loss: 146.135
-38400/69092 Loss: 146.447
-41600/69092 Loss: 146.660
-44800/69092 Loss: 148.607
-48000/69092 Loss: 147.215
-51200/69092 Loss: 147.149
-54400/69092 Loss: 144.786
-57600/69092 Loss: 143.834
-60800/69092 Loss: 146.769
-64000/69092 Loss: 143.324
-67200/69092 Loss: 145.913
-Training time 0:04:52.196409
-Epoch: 121 Average loss: 145.80
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 122)
-0/69092 Loss: 155.197
-3200/69092 Loss: 147.635
-6400/69092 Loss: 142.454
-9600/69092 Loss: 146.415
-12800/69092 Loss: 147.256
-16000/69092 Loss: 144.683
-19200/69092 Loss: 146.449
-22400/69092 Loss: 145.164
-25600/69092 Loss: 148.890
-28800/69092 Loss: 144.380
-32000/69092 Loss: 144.353
-35200/69092 Loss: 147.569
-38400/69092 Loss: 144.548
-41600/69092 Loss: 144.247
-44800/69092 Loss: 148.184
-48000/69092 Loss: 146.054
-51200/69092 Loss: 144.699
-54400/69092 Loss: 144.041
-57600/69092 Loss: 148.090
-60800/69092 Loss: 145.390
-64000/69092 Loss: 143.471
-67200/69092 Loss: 145.281
-Training time 0:04:43.886909
-Epoch: 122 Average loss: 145.77
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 123)
-0/69092 Loss: 148.461
-3200/69092 Loss: 144.364
-6400/69092 Loss: 145.360
-9600/69092 Loss: 146.712
-12800/69092 Loss: 149.114
-16000/69092 Loss: 145.473
-19200/69092 Loss: 147.030
-22400/69092 Loss: 148.086
-25600/69092 Loss: 145.227
-28800/69092 Loss: 144.656
-32000/69092 Loss: 144.907
-35200/69092 Loss: 146.060
-38400/69092 Loss: 146.030
-41600/69092 Loss: 149.171
-44800/69092 Loss: 145.563
-48000/69092 Loss: 146.399
-51200/69092 Loss: 144.539
-54400/69092 Loss: 143.456
-57600/69092 Loss: 142.815
-60800/69092 Loss: 146.142
-64000/69092 Loss: 147.865
-67200/69092 Loss: 144.077
-Training time 0:04:45.941821
-Epoch: 123 Average loss: 145.96
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 124)
-0/69092 Loss: 133.072
-3200/69092 Loss: 145.802
-6400/69092 Loss: 146.011
-9600/69092 Loss: 146.894
-12800/69092 Loss: 143.769
-16000/69092 Loss: 148.883
-19200/69092 Loss: 145.309
-22400/69092 Loss: 146.619
-25600/69092 Loss: 145.833
-28800/69092 Loss: 146.381
-32000/69092 Loss: 145.016
-35200/69092 Loss: 147.641
-38400/69092 Loss: 147.790
-41600/69092 Loss: 145.403
-44800/69092 Loss: 145.743
-48000/69092 Loss: 147.073
-51200/69092 Loss: 146.143
-54400/69092 Loss: 143.506
-57600/69092 Loss: 145.625
-60800/69092 Loss: 147.074
-64000/69092 Loss: 144.900
-67200/69092 Loss: 147.176
-Training time 0:04:42.112605
-Epoch: 124 Average loss: 146.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_5/checkpoints/last' (iter 125)
-0/69092 Loss: 148.691
-3200/69092 Loss: 144.481
-6400/69092 Loss: 145.141
-9600/69092 Loss: 146.340
-12800/69092 Loss: 144.990
-16000/69092 Loss: 148.193
-19200/69092 Loss: 143.628
-22400/69092 Loss: 145.318
-25600/69092 Loss: 146.684
-28800/69092 Loss: 146.355
-32000/69092 Loss: 144.701
-35200/69092 Loss: 144.713
-38400/69092 Loss: 146.332
-41600/69092 Loss: 146.015
-44800/69092 Loss: 147.595
-48000/69092 Loss: 144.976
-51200/69092 Loss: 145.766
-54400/69092 Loss: 146.489
-57600/69092 Loss: 147.861
-60800/69092 Loss: 146.934
-64000/69092 Loss: 143.582
diff --git a/OAR.2068292.stderr b/OAR.2068292.stderr
deleted file mode 100644
index a65b71902f..0000000000
--- a/OAR.2068292.stderr
+++ /dev/null
@@ -1,3 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
-## OAR [2020-06-25 10:08:28] Job 2068292 KILLED ##
diff --git a/OAR.2068292.stdout b/OAR.2068292.stdout
deleted file mode 100644
index 5e37e87eac..0000000000
--- a/OAR.2068292.stdout
+++ /dev/null
@@ -1,2903 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_15', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=15, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_15
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-Tesla K40c
-Tesla K80
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=30, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=15, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 769185
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last (iter 2)'
-0/69092 Loss: 164.068
-3200/69092 Loss: 159.062
-6400/69092 Loss: 157.224
-9600/69092 Loss: 154.582
-12800/69092 Loss: 154.183
-16000/69092 Loss: 153.739
-19200/69092 Loss: 153.701
-22400/69092 Loss: 150.246
-25600/69092 Loss: 153.596
-28800/69092 Loss: 150.894
-32000/69092 Loss: 151.965
-35200/69092 Loss: 149.944
-38400/69092 Loss: 148.097
-41600/69092 Loss: 147.112
-44800/69092 Loss: 147.547
-48000/69092 Loss: 143.439
-51200/69092 Loss: 143.876
-54400/69092 Loss: 143.881
-57600/69092 Loss: 141.629
-60800/69092 Loss: 141.141
-64000/69092 Loss: 140.164
-67200/69092 Loss: 142.035
-Training time 0:04:58.146411
-Epoch: 1 Average loss: 148.74
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 3)
-0/69092 Loss: 152.479
-3200/69092 Loss: 142.726
-6400/69092 Loss: 144.389
-9600/69092 Loss: 138.407
-12800/69092 Loss: 138.264
-16000/69092 Loss: 140.209
-19200/69092 Loss: 139.579
-22400/69092 Loss: 136.847
-25600/69092 Loss: 134.427
-28800/69092 Loss: 134.863
-32000/69092 Loss: 135.759
-35200/69092 Loss: 137.380
-38400/69092 Loss: 136.066
-41600/69092 Loss: 135.911
-44800/69092 Loss: 135.465
-48000/69092 Loss: 134.008
-51200/69092 Loss: 133.120
-54400/69092 Loss: 136.413
-57600/69092 Loss: 132.427
-60800/69092 Loss: 135.123
-64000/69092 Loss: 136.686
-67200/69092 Loss: 133.240
-Training time 0:04:50.508829
-Epoch: 2 Average loss: 136.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 4)
-0/69092 Loss: 137.475
-3200/69092 Loss: 134.191
-6400/69092 Loss: 132.651
-9600/69092 Loss: 132.042
-12800/69092 Loss: 134.187
-16000/69092 Loss: 133.448
-19200/69092 Loss: 136.283
-22400/69092 Loss: 130.460
-25600/69092 Loss: 133.009
-28800/69092 Loss: 134.494
-32000/69092 Loss: 133.096
-35200/69092 Loss: 130.866
-38400/69092 Loss: 132.377
-41600/69092 Loss: 133.557
-44800/69092 Loss: 133.696
-48000/69092 Loss: 128.877
-51200/69092 Loss: 130.718
-54400/69092 Loss: 130.170
-57600/69092 Loss: 131.031
-60800/69092 Loss: 128.449
-64000/69092 Loss: 131.945
-67200/69092 Loss: 132.108
-Training time 0:04:49.348248
-Epoch: 3 Average loss: 132.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 5)
-0/69092 Loss: 112.655
-3200/69092 Loss: 131.264
-6400/69092 Loss: 130.131
-9600/69092 Loss: 131.474
-12800/69092 Loss: 130.229
-16000/69092 Loss: 131.610
-19200/69092 Loss: 128.390
-22400/69092 Loss: 130.507
-25600/69092 Loss: 131.762
-28800/69092 Loss: 130.924
-32000/69092 Loss: 129.825
-35200/69092 Loss: 130.224
-38400/69092 Loss: 130.196
-41600/69092 Loss: 129.426
-44800/69092 Loss: 130.307
-48000/69092 Loss: 131.456
-51200/69092 Loss: 128.890
-54400/69092 Loss: 130.250
-57600/69092 Loss: 128.794
-60800/69092 Loss: 131.355
-64000/69092 Loss: 130.152
-67200/69092 Loss: 131.066
-Training time 0:04:50.908864
-Epoch: 4 Average loss: 130.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 6)
-0/69092 Loss: 127.888
-3200/69092 Loss: 130.891
-6400/69092 Loss: 129.799
-9600/69092 Loss: 130.955
-12800/69092 Loss: 126.172
-16000/69092 Loss: 130.069
-19200/69092 Loss: 130.856
-22400/69092 Loss: 127.463
-25600/69092 Loss: 128.853
-28800/69092 Loss: 128.933
-32000/69092 Loss: 129.473
-35200/69092 Loss: 130.088
-38400/69092 Loss: 129.832
-41600/69092 Loss: 130.128
-44800/69092 Loss: 128.135
-48000/69092 Loss: 127.895
-51200/69092 Loss: 125.976
-54400/69092 Loss: 127.525
-57600/69092 Loss: 130.168
-60800/69092 Loss: 127.672
-64000/69092 Loss: 126.680
-67200/69092 Loss: 128.760
-Training time 0:04:49.413921
-Epoch: 5 Average loss: 128.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 7)
-0/69092 Loss: 136.036
-3200/69092 Loss: 127.881
-6400/69092 Loss: 128.480
-9600/69092 Loss: 126.520
-12800/69092 Loss: 127.070
-16000/69092 Loss: 127.472
-19200/69092 Loss: 127.496
-22400/69092 Loss: 129.317
-25600/69092 Loss: 126.693
-28800/69092 Loss: 126.789
-32000/69092 Loss: 128.037
-35200/69092 Loss: 126.847
-38400/69092 Loss: 127.274
-41600/69092 Loss: 127.458
-44800/69092 Loss: 127.357
-48000/69092 Loss: 129.112
-51200/69092 Loss: 129.610
-54400/69092 Loss: 127.765
-57600/69092 Loss: 127.420
-60800/69092 Loss: 126.488
-64000/69092 Loss: 126.994
-67200/69092 Loss: 128.856
-Training time 0:04:52.057289
-Epoch: 6 Average loss: 127.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 8)
-0/69092 Loss: 114.712
-3200/69092 Loss: 127.520
-6400/69092 Loss: 124.320
-9600/69092 Loss: 126.230
-12800/69092 Loss: 129.335
-16000/69092 Loss: 125.961
-19200/69092 Loss: 127.808
-22400/69092 Loss: 127.900
-25600/69092 Loss: 125.901
-28800/69092 Loss: 127.676
-32000/69092 Loss: 123.257
-35200/69092 Loss: 125.715
-38400/69092 Loss: 126.342
-41600/69092 Loss: 127.061
-44800/69092 Loss: 124.434
-48000/69092 Loss: 127.263
-51200/69092 Loss: 126.219
-54400/69092 Loss: 127.302
-57600/69092 Loss: 126.033
-60800/69092 Loss: 126.737
-64000/69092 Loss: 127.853
-67200/69092 Loss: 125.695
-Training time 0:04:49.157151
-Epoch: 7 Average loss: 126.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 9)
-0/69092 Loss: 144.076
-3200/69092 Loss: 125.569
-6400/69092 Loss: 125.122
-9600/69092 Loss: 126.678
-12800/69092 Loss: 123.121
-16000/69092 Loss: 126.292
-19200/69092 Loss: 124.290
-22400/69092 Loss: 125.286
-25600/69092 Loss: 127.713
-28800/69092 Loss: 128.740
-32000/69092 Loss: 126.587
-35200/69092 Loss: 125.263
-38400/69092 Loss: 127.627
-41600/69092 Loss: 122.766
-44800/69092 Loss: 123.776
-48000/69092 Loss: 124.783
-51200/69092 Loss: 127.640
-54400/69092 Loss: 125.066
-57600/69092 Loss: 127.092
-60800/69092 Loss: 126.302
-64000/69092 Loss: 124.086
-67200/69092 Loss: 126.229
-Training time 0:04:51.763548
-Epoch: 8 Average loss: 125.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 10)
-0/69092 Loss: 143.115
-3200/69092 Loss: 124.100
-6400/69092 Loss: 127.471
-9600/69092 Loss: 124.016
-12800/69092 Loss: 124.874
-16000/69092 Loss: 125.503
-19200/69092 Loss: 123.509
-22400/69092 Loss: 123.893
-25600/69092 Loss: 124.253
-28800/69092 Loss: 125.839
-32000/69092 Loss: 124.033
-35200/69092 Loss: 122.995
-38400/69092 Loss: 126.921
-41600/69092 Loss: 126.131
-44800/69092 Loss: 125.028
-48000/69092 Loss: 124.421
-51200/69092 Loss: 124.513
-54400/69092 Loss: 125.414
-57600/69092 Loss: 123.846
-60800/69092 Loss: 123.672
-64000/69092 Loss: 124.252
-67200/69092 Loss: 125.823
-Training time 0:04:50.687557
-Epoch: 9 Average loss: 124.74
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 11)
-0/69092 Loss: 132.530
-3200/69092 Loss: 124.715
-6400/69092 Loss: 126.497
-9600/69092 Loss: 123.316
-12800/69092 Loss: 124.901
-16000/69092 Loss: 125.205
-19200/69092 Loss: 122.765
-22400/69092 Loss: 126.498
-25600/69092 Loss: 124.976
-28800/69092 Loss: 124.783
-32000/69092 Loss: 123.165
-35200/69092 Loss: 123.086
-38400/69092 Loss: 124.304
-41600/69092 Loss: 122.915
-44800/69092 Loss: 125.451
-48000/69092 Loss: 124.571
-51200/69092 Loss: 124.476
-54400/69092 Loss: 122.600
-57600/69092 Loss: 124.240
-60800/69092 Loss: 123.787
-64000/69092 Loss: 122.615
-67200/69092 Loss: 124.837
-Training time 0:04:52.461847
-Epoch: 10 Average loss: 124.29
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 12)
-0/69092 Loss: 123.180
-3200/69092 Loss: 123.575
-6400/69092 Loss: 122.534
-9600/69092 Loss: 123.632
-12800/69092 Loss: 124.860
-16000/69092 Loss: 123.442
-19200/69092 Loss: 124.136
-22400/69092 Loss: 123.966
-25600/69092 Loss: 123.843
-28800/69092 Loss: 124.526
-32000/69092 Loss: 122.504
-35200/69092 Loss: 124.491
-38400/69092 Loss: 123.499
-41600/69092 Loss: 124.616
-44800/69092 Loss: 122.246
-48000/69092 Loss: 123.037
-51200/69092 Loss: 124.100
-54400/69092 Loss: 126.530
-57600/69092 Loss: 121.947
-60800/69092 Loss: 122.122
-64000/69092 Loss: 124.514
-67200/69092 Loss: 123.882
-Training time 0:04:51.755454
-Epoch: 11 Average loss: 123.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 13)
-0/69092 Loss: 124.780
-3200/69092 Loss: 123.718
-6400/69092 Loss: 125.246
-9600/69092 Loss: 125.144
-12800/69092 Loss: 121.691
-16000/69092 Loss: 121.736
-19200/69092 Loss: 123.536
-22400/69092 Loss: 124.053
-25600/69092 Loss: 124.311
-28800/69092 Loss: 124.009
-32000/69092 Loss: 123.313
-35200/69092 Loss: 123.694
-38400/69092 Loss: 123.137
-41600/69092 Loss: 122.437
-44800/69092 Loss: 122.643
-48000/69092 Loss: 121.283
-51200/69092 Loss: 122.192
-54400/69092 Loss: 121.984
-57600/69092 Loss: 121.845
-60800/69092 Loss: 123.966
-64000/69092 Loss: 123.677
-67200/69092 Loss: 121.343
-Training time 0:04:49.593080
-Epoch: 12 Average loss: 123.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 14)
-0/69092 Loss: 113.463
-3200/69092 Loss: 121.899
-6400/69092 Loss: 122.716
-9600/69092 Loss: 121.791
-12800/69092 Loss: 122.534
-16000/69092 Loss: 122.608
-19200/69092 Loss: 123.967
-22400/69092 Loss: 123.682
-25600/69092 Loss: 121.969
-28800/69092 Loss: 123.313
-32000/69092 Loss: 122.102
-35200/69092 Loss: 124.053
-38400/69092 Loss: 121.807
-41600/69092 Loss: 121.690
-44800/69092 Loss: 123.093
-48000/69092 Loss: 122.188
-51200/69092 Loss: 123.149
-54400/69092 Loss: 120.774
-57600/69092 Loss: 121.591
-60800/69092 Loss: 125.514
-64000/69092 Loss: 122.014
-67200/69092 Loss: 121.635
-Training time 0:04:51.107930
-Epoch: 13 Average loss: 122.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 15)
-0/69092 Loss: 141.649
-3200/69092 Loss: 121.660
-6400/69092 Loss: 124.211
-9600/69092 Loss: 123.860
-12800/69092 Loss: 120.946
-16000/69092 Loss: 120.423
-19200/69092 Loss: 122.185
-22400/69092 Loss: 122.621
-25600/69092 Loss: 123.143
-28800/69092 Loss: 122.857
-32000/69092 Loss: 122.491
-35200/69092 Loss: 122.411
-38400/69092 Loss: 119.921
-41600/69092 Loss: 123.385
-44800/69092 Loss: 122.616
-48000/69092 Loss: 121.728
-51200/69092 Loss: 121.045
-54400/69092 Loss: 123.097
-57600/69092 Loss: 121.515
-60800/69092 Loss: 123.073
-64000/69092 Loss: 121.583
-67200/69092 Loss: 121.666
-Training time 0:04:49.451576
-Epoch: 14 Average loss: 122.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 16)
-0/69092 Loss: 124.186
-3200/69092 Loss: 120.439
-6400/69092 Loss: 121.248
-9600/69092 Loss: 120.874
-12800/69092 Loss: 121.578
-16000/69092 Loss: 122.464
-19200/69092 Loss: 121.549
-22400/69092 Loss: 120.158
-25600/69092 Loss: 120.951
-28800/69092 Loss: 124.429
-32000/69092 Loss: 121.813
-35200/69092 Loss: 121.571
-38400/69092 Loss: 123.013
-41600/69092 Loss: 120.008
-44800/69092 Loss: 122.563
-48000/69092 Loss: 122.886
-51200/69092 Loss: 120.782
-54400/69092 Loss: 123.421
-57600/69092 Loss: 121.868
-60800/69092 Loss: 121.298
-64000/69092 Loss: 119.484
-67200/69092 Loss: 123.969
-Training time 0:04:50.416095
-Epoch: 15 Average loss: 121.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 17)
-0/69092 Loss: 147.280
-3200/69092 Loss: 124.071
-6400/69092 Loss: 122.413
-9600/69092 Loss: 121.878
-12800/69092 Loss: 118.349
-16000/69092 Loss: 122.346
-19200/69092 Loss: 119.379
-22400/69092 Loss: 119.008
-25600/69092 Loss: 123.249
-28800/69092 Loss: 120.557
-32000/69092 Loss: 120.716
-35200/69092 Loss: 120.112
-38400/69092 Loss: 120.230
-41600/69092 Loss: 123.128
-44800/69092 Loss: 122.548
-48000/69092 Loss: 121.832
-51200/69092 Loss: 122.497
-54400/69092 Loss: 120.060
-57600/69092 Loss: 121.200
-60800/69092 Loss: 122.492
-64000/69092 Loss: 121.126
-67200/69092 Loss: 119.935
-Training time 0:04:49.960933
-Epoch: 16 Average loss: 121.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 18)
-0/69092 Loss: 124.367
-3200/69092 Loss: 122.409
-6400/69092 Loss: 122.262
-9600/69092 Loss: 119.387
-12800/69092 Loss: 121.039
-16000/69092 Loss: 119.182
-19200/69092 Loss: 121.419
-22400/69092 Loss: 121.514
-25600/69092 Loss: 122.545
-28800/69092 Loss: 122.114
-32000/69092 Loss: 119.501
-35200/69092 Loss: 122.873
-38400/69092 Loss: 121.808
-41600/69092 Loss: 120.921
-44800/69092 Loss: 121.306
-48000/69092 Loss: 120.496
-51200/69092 Loss: 120.772
-54400/69092 Loss: 118.943
-57600/69092 Loss: 120.649
-60800/69092 Loss: 120.235
-64000/69092 Loss: 122.692
-67200/69092 Loss: 119.990
-Training time 0:04:49.027354
-Epoch: 17 Average loss: 121.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 19)
-0/69092 Loss: 121.317
-3200/69092 Loss: 120.732
-6400/69092 Loss: 122.482
-9600/69092 Loss: 119.718
-12800/69092 Loss: 119.866
-16000/69092 Loss: 120.726
-19200/69092 Loss: 121.990
-22400/69092 Loss: 119.675
-25600/69092 Loss: 121.545
-28800/69092 Loss: 120.568
-32000/69092 Loss: 122.772
-35200/69092 Loss: 121.967
-38400/69092 Loss: 121.649
-41600/69092 Loss: 117.995
-44800/69092 Loss: 121.247
-48000/69092 Loss: 120.534
-51200/69092 Loss: 119.402
-54400/69092 Loss: 119.726
-57600/69092 Loss: 122.539
-60800/69092 Loss: 119.981
-64000/69092 Loss: 118.654
-67200/69092 Loss: 119.318
-Training time 0:04:49.797799
-Epoch: 18 Average loss: 120.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 20)
-0/69092 Loss: 118.134
-3200/69092 Loss: 120.396
-6400/69092 Loss: 120.969
-9600/69092 Loss: 120.209
-12800/69092 Loss: 121.274
-16000/69092 Loss: 121.006
-19200/69092 Loss: 122.580
-22400/69092 Loss: 119.853
-25600/69092 Loss: 119.243
-28800/69092 Loss: 118.694
-32000/69092 Loss: 121.411
-35200/69092 Loss: 121.019
-38400/69092 Loss: 120.749
-41600/69092 Loss: 121.177
-44800/69092 Loss: 120.289
-48000/69092 Loss: 118.386
-51200/69092 Loss: 119.777
-54400/69092 Loss: 120.387
-57600/69092 Loss: 119.084
-60800/69092 Loss: 122.402
-64000/69092 Loss: 119.486
-67200/69092 Loss: 120.203
-Training time 0:04:48.928545
-Epoch: 19 Average loss: 120.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 21)
-0/69092 Loss: 132.927
-3200/69092 Loss: 121.500
-6400/69092 Loss: 121.023
-9600/69092 Loss: 119.467
-12800/69092 Loss: 119.294
-16000/69092 Loss: 120.119
-19200/69092 Loss: 121.221
-22400/69092 Loss: 121.108
-25600/69092 Loss: 120.540
-28800/69092 Loss: 119.922
-32000/69092 Loss: 119.803
-35200/69092 Loss: 118.895
-38400/69092 Loss: 120.113
-41600/69092 Loss: 119.533
-44800/69092 Loss: 120.517
-48000/69092 Loss: 118.937
-51200/69092 Loss: 119.558
-54400/69092 Loss: 118.833
-57600/69092 Loss: 119.291
-60800/69092 Loss: 118.990
-64000/69092 Loss: 120.532
-67200/69092 Loss: 121.909
-Training time 0:04:51.148482
-Epoch: 20 Average loss: 120.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 22)
-0/69092 Loss: 118.307
-3200/69092 Loss: 119.423
-6400/69092 Loss: 118.216
-9600/69092 Loss: 119.984
-12800/69092 Loss: 120.158
-16000/69092 Loss: 117.909
-19200/69092 Loss: 119.399
-22400/69092 Loss: 120.739
-25600/69092 Loss: 121.521
-28800/69092 Loss: 120.108
-32000/69092 Loss: 118.571
-35200/69092 Loss: 119.629
-38400/69092 Loss: 118.709
-41600/69092 Loss: 119.575
-44800/69092 Loss: 118.780
-48000/69092 Loss: 119.657
-51200/69092 Loss: 119.952
-54400/69092 Loss: 119.715
-57600/69092 Loss: 118.939
-60800/69092 Loss: 117.817
-64000/69092 Loss: 120.944
-67200/69092 Loss: 121.950
-Training time 0:04:49.804652
-Epoch: 21 Average loss: 119.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 23)
-0/69092 Loss: 121.398
-3200/69092 Loss: 118.355
-6400/69092 Loss: 118.077
-9600/69092 Loss: 119.630
-12800/69092 Loss: 120.356
-16000/69092 Loss: 119.896
-19200/69092 Loss: 121.023
-22400/69092 Loss: 120.690
-25600/69092 Loss: 119.712
-28800/69092 Loss: 121.213
-32000/69092 Loss: 122.260
-35200/69092 Loss: 118.701
-38400/69092 Loss: 120.645
-41600/69092 Loss: 118.089
-44800/69092 Loss: 119.693
-48000/69092 Loss: 118.592
-51200/69092 Loss: 119.260
-54400/69092 Loss: 119.355
-57600/69092 Loss: 117.261
-60800/69092 Loss: 118.825
-64000/69092 Loss: 117.297
-67200/69092 Loss: 119.719
-Training time 0:04:50.067787
-Epoch: 22 Average loss: 119.48
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 24)
-0/69092 Loss: 111.638
-3200/69092 Loss: 119.813
-6400/69092 Loss: 118.761
-9600/69092 Loss: 118.287
-12800/69092 Loss: 118.752
-16000/69092 Loss: 118.375
-19200/69092 Loss: 118.758
-22400/69092 Loss: 120.132
-25600/69092 Loss: 117.772
-28800/69092 Loss: 120.166
-32000/69092 Loss: 120.307
-35200/69092 Loss: 119.838
-38400/69092 Loss: 118.112
-41600/69092 Loss: 118.822
-44800/69092 Loss: 118.199
-48000/69092 Loss: 119.910
-51200/69092 Loss: 120.456
-54400/69092 Loss: 121.213
-57600/69092 Loss: 119.889
-60800/69092 Loss: 119.915
-64000/69092 Loss: 116.545
-67200/69092 Loss: 118.453
-Training time 0:04:52.012971
-Epoch: 23 Average loss: 119.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 25)
-0/69092 Loss: 140.434
-3200/69092 Loss: 118.041
-6400/69092 Loss: 120.979
-9600/69092 Loss: 116.782
-12800/69092 Loss: 119.718
-16000/69092 Loss: 119.394
-19200/69092 Loss: 117.417
-22400/69092 Loss: 118.923
-25600/69092 Loss: 118.774
-28800/69092 Loss: 118.152
-32000/69092 Loss: 118.696
-35200/69092 Loss: 119.377
-38400/69092 Loss: 120.148
-41600/69092 Loss: 119.314
-44800/69092 Loss: 120.440
-48000/69092 Loss: 118.426
-51200/69092 Loss: 119.611
-54400/69092 Loss: 119.685
-57600/69092 Loss: 119.266
-60800/69092 Loss: 118.629
-64000/69092 Loss: 118.080
-67200/69092 Loss: 119.973
-Training time 0:04:49.487557
-Epoch: 24 Average loss: 119.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 26)
-0/69092 Loss: 124.300
-3200/69092 Loss: 117.881
-6400/69092 Loss: 118.144
-9600/69092 Loss: 120.593
-12800/69092 Loss: 117.324
-16000/69092 Loss: 118.725
-19200/69092 Loss: 118.808
-22400/69092 Loss: 120.655
-25600/69092 Loss: 118.664
-28800/69092 Loss: 120.388
-32000/69092 Loss: 118.245
-35200/69092 Loss: 120.707
-38400/69092 Loss: 118.805
-41600/69092 Loss: 119.746
-44800/69092 Loss: 119.556
-48000/69092 Loss: 118.753
-51200/69092 Loss: 117.709
-54400/69092 Loss: 118.975
-57600/69092 Loss: 119.539
-60800/69092 Loss: 118.077
-64000/69092 Loss: 118.615
-67200/69092 Loss: 118.794
-Training time 0:04:52.128706
-Epoch: 25 Average loss: 118.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 27)
-0/69092 Loss: 113.090
-3200/69092 Loss: 119.358
-6400/69092 Loss: 118.229
-9600/69092 Loss: 119.189
-12800/69092 Loss: 117.514
-16000/69092 Loss: 118.845
-19200/69092 Loss: 118.498
-22400/69092 Loss: 117.974
-25600/69092 Loss: 116.578
-28800/69092 Loss: 118.265
-32000/69092 Loss: 118.847
-35200/69092 Loss: 121.428
-38400/69092 Loss: 120.392
-41600/69092 Loss: 118.957
-44800/69092 Loss: 119.120
-48000/69092 Loss: 119.334
-51200/69092 Loss: 120.669
-54400/69092 Loss: 120.009
-57600/69092 Loss: 117.227
-60800/69092 Loss: 118.158
-64000/69092 Loss: 119.327
-67200/69092 Loss: 118.300
-Training time 0:04:49.223185
-Epoch: 26 Average loss: 118.80
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 28)
-0/69092 Loss: 116.295
-3200/69092 Loss: 117.970
-6400/69092 Loss: 119.817
-9600/69092 Loss: 117.504
-12800/69092 Loss: 120.582
-16000/69092 Loss: 120.024
-19200/69092 Loss: 119.205
-22400/69092 Loss: 116.581
-25600/69092 Loss: 117.436
-28800/69092 Loss: 118.478
-32000/69092 Loss: 120.577
-35200/69092 Loss: 116.665
-38400/69092 Loss: 119.224
-41600/69092 Loss: 118.680
-44800/69092 Loss: 118.032
-48000/69092 Loss: 118.059
-51200/69092 Loss: 118.905
-54400/69092 Loss: 118.619
-57600/69092 Loss: 117.789
-60800/69092 Loss: 118.975
-64000/69092 Loss: 117.807
-67200/69092 Loss: 118.468
-Training time 0:04:51.033925
-Epoch: 27 Average loss: 118.55
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 29)
-0/69092 Loss: 107.462
-3200/69092 Loss: 117.137
-6400/69092 Loss: 119.733
-9600/69092 Loss: 119.552
-12800/69092 Loss: 118.056
-16000/69092 Loss: 118.923
-19200/69092 Loss: 117.516
-22400/69092 Loss: 120.202
-25600/69092 Loss: 118.220
-28800/69092 Loss: 120.580
-32000/69092 Loss: 117.011
-35200/69092 Loss: 117.457
-38400/69092 Loss: 120.626
-41600/69092 Loss: 118.098
-44800/69092 Loss: 118.663
-48000/69092 Loss: 118.516
-51200/69092 Loss: 116.312
-54400/69092 Loss: 117.661
-57600/69092 Loss: 117.157
-60800/69092 Loss: 120.903
-64000/69092 Loss: 118.162
-67200/69092 Loss: 116.963
-Training time 0:04:51.592031
-Epoch: 28 Average loss: 118.35
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 30)
-0/69092 Loss: 102.629
-3200/69092 Loss: 119.291
-6400/69092 Loss: 117.435
-9600/69092 Loss: 119.788
-12800/69092 Loss: 116.903
-16000/69092 Loss: 118.794
-19200/69092 Loss: 118.863
-22400/69092 Loss: 117.916
-25600/69092 Loss: 120.067
-28800/69092 Loss: 120.635
-32000/69092 Loss: 117.094
-35200/69092 Loss: 117.373
-38400/69092 Loss: 118.355
-41600/69092 Loss: 116.381
-44800/69092 Loss: 118.091
-48000/69092 Loss: 117.962
-51200/69092 Loss: 119.181
-54400/69092 Loss: 117.127
-57600/69092 Loss: 118.752
-60800/69092 Loss: 118.904
-64000/69092 Loss: 116.458
-67200/69092 Loss: 118.868
-Training time 0:04:51.587348
-Epoch: 29 Average loss: 118.27
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 31)
-0/69092 Loss: 117.959
-3200/69092 Loss: 118.615
-6400/69092 Loss: 116.865
-9600/69092 Loss: 117.357
-12800/69092 Loss: 117.407
-16000/69092 Loss: 118.332
-19200/69092 Loss: 117.742
-22400/69092 Loss: 118.900
-25600/69092 Loss: 118.546
-28800/69092 Loss: 118.227
-32000/69092 Loss: 116.875
-35200/69092 Loss: 117.978
-38400/69092 Loss: 118.425
-41600/69092 Loss: 117.657
-44800/69092 Loss: 118.104
-48000/69092 Loss: 119.604
-51200/69092 Loss: 119.600
-54400/69092 Loss: 121.515
-57600/69092 Loss: 118.742
-60800/69092 Loss: 116.864
-64000/69092 Loss: 115.990
-67200/69092 Loss: 118.275
-Training time 0:04:50.048876
-Epoch: 30 Average loss: 118.14
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 32)
-0/69092 Loss: 106.593
-3200/69092 Loss: 119.711
-6400/69092 Loss: 116.807
-9600/69092 Loss: 117.608
-12800/69092 Loss: 118.867
-16000/69092 Loss: 117.906
-19200/69092 Loss: 117.232
-22400/69092 Loss: 115.240
-25600/69092 Loss: 117.749
-28800/69092 Loss: 118.540
-32000/69092 Loss: 119.195
-35200/69092 Loss: 118.320
-38400/69092 Loss: 116.502
-41600/69092 Loss: 117.607
-44800/69092 Loss: 117.263
-48000/69092 Loss: 117.957
-51200/69092 Loss: 117.742
-54400/69092 Loss: 118.916
-57600/69092 Loss: 117.189
-60800/69092 Loss: 120.184
-64000/69092 Loss: 116.788
-67200/69092 Loss: 118.234
-Training time 0:04:50.015429
-Epoch: 31 Average loss: 117.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 33)
-0/69092 Loss: 128.475
-3200/69092 Loss: 117.685
-6400/69092 Loss: 116.569
-9600/69092 Loss: 119.111
-12800/69092 Loss: 117.263
-16000/69092 Loss: 116.626
-19200/69092 Loss: 117.213
-22400/69092 Loss: 117.793
-25600/69092 Loss: 117.037
-28800/69092 Loss: 119.234
-32000/69092 Loss: 117.317
-35200/69092 Loss: 118.113
-38400/69092 Loss: 117.912
-41600/69092 Loss: 117.433
-44800/69092 Loss: 117.601
-48000/69092 Loss: 118.597
-51200/69092 Loss: 119.003
-54400/69092 Loss: 117.660
-57600/69092 Loss: 117.688
-60800/69092 Loss: 117.206
-64000/69092 Loss: 119.188
-67200/69092 Loss: 118.233
-Training time 0:04:52.524545
-Epoch: 32 Average loss: 117.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 34)
-0/69092 Loss: 108.132
-3200/69092 Loss: 118.912
-6400/69092 Loss: 115.902
-9600/69092 Loss: 117.341
-12800/69092 Loss: 117.619
-16000/69092 Loss: 116.339
-19200/69092 Loss: 118.875
-22400/69092 Loss: 118.306
-25600/69092 Loss: 118.466
-28800/69092 Loss: 116.170
-32000/69092 Loss: 115.511
-35200/69092 Loss: 120.453
-38400/69092 Loss: 118.390
-41600/69092 Loss: 115.965
-44800/69092 Loss: 116.297
-48000/69092 Loss: 119.445
-51200/69092 Loss: 119.516
-54400/69092 Loss: 115.973
-57600/69092 Loss: 118.658
-60800/69092 Loss: 116.730
-64000/69092 Loss: 119.248
-67200/69092 Loss: 116.062
-Training time 0:04:50.447285
-Epoch: 33 Average loss: 117.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 35)
-0/69092 Loss: 121.678
-3200/69092 Loss: 117.583
-6400/69092 Loss: 116.046
-9600/69092 Loss: 118.373
-12800/69092 Loss: 115.075
-16000/69092 Loss: 116.979
-19200/69092 Loss: 117.002
-22400/69092 Loss: 116.698
-25600/69092 Loss: 118.600
-28800/69092 Loss: 118.987
-32000/69092 Loss: 116.339
-35200/69092 Loss: 116.992
-38400/69092 Loss: 117.991
-41600/69092 Loss: 116.828
-44800/69092 Loss: 118.113
-48000/69092 Loss: 116.288
-51200/69092 Loss: 116.670
-54400/69092 Loss: 116.627
-57600/69092 Loss: 117.844
-60800/69092 Loss: 119.019
-64000/69092 Loss: 117.406
-67200/69092 Loss: 118.033
-Training time 0:04:51.258306
-Epoch: 34 Average loss: 117.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 36)
-0/69092 Loss: 122.526
-3200/69092 Loss: 117.809
-6400/69092 Loss: 116.431
-9600/69092 Loss: 115.905
-12800/69092 Loss: 118.919
-16000/69092 Loss: 118.223
-19200/69092 Loss: 117.447
-22400/69092 Loss: 119.590
-25600/69092 Loss: 117.410
-28800/69092 Loss: 116.450
-32000/69092 Loss: 119.641
-35200/69092 Loss: 118.163
-38400/69092 Loss: 116.956
-41600/69092 Loss: 116.597
-44800/69092 Loss: 117.110
-48000/69092 Loss: 118.238
-51200/69092 Loss: 116.821
-54400/69092 Loss: 115.176
-57600/69092 Loss: 116.725
-60800/69092 Loss: 116.664
-64000/69092 Loss: 117.485
-67200/69092 Loss: 117.773
-Training time 0:04:50.190005
-Epoch: 35 Average loss: 117.37
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 37)
-0/69092 Loss: 123.229
-3200/69092 Loss: 117.976
-6400/69092 Loss: 116.481
-9600/69092 Loss: 117.942
-12800/69092 Loss: 117.082
-16000/69092 Loss: 116.883
-19200/69092 Loss: 116.089
-22400/69092 Loss: 116.840
-25600/69092 Loss: 118.900
-28800/69092 Loss: 116.752
-32000/69092 Loss: 115.466
-35200/69092 Loss: 116.356
-38400/69092 Loss: 114.889
-41600/69092 Loss: 119.188
-44800/69092 Loss: 120.328
-48000/69092 Loss: 116.525
-51200/69092 Loss: 117.148
-54400/69092 Loss: 117.533
-57600/69092 Loss: 117.055
-60800/69092 Loss: 116.720
-64000/69092 Loss: 117.952
-67200/69092 Loss: 117.484
-Training time 0:04:50.280765
-Epoch: 36 Average loss: 117.29
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 38)
-0/69092 Loss: 111.605
-3200/69092 Loss: 117.366
-6400/69092 Loss: 116.807
-9600/69092 Loss: 114.905
-12800/69092 Loss: 117.049
-16000/69092 Loss: 115.857
-19200/69092 Loss: 118.030
-22400/69092 Loss: 117.065
-25600/69092 Loss: 121.040
-28800/69092 Loss: 116.276
-32000/69092 Loss: 116.552
-35200/69092 Loss: 117.029
-38400/69092 Loss: 116.262
-41600/69092 Loss: 116.357
-44800/69092 Loss: 116.982
-48000/69092 Loss: 117.109
-51200/69092 Loss: 117.132
-54400/69092 Loss: 117.274
-57600/69092 Loss: 116.951
-60800/69092 Loss: 119.223
-64000/69092 Loss: 117.742
-67200/69092 Loss: 118.431
-Training time 0:04:52.490880
-Epoch: 37 Average loss: 117.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 39)
-0/69092 Loss: 115.327
-3200/69092 Loss: 117.210
-6400/69092 Loss: 117.962
-9600/69092 Loss: 115.766
-12800/69092 Loss: 116.867
-16000/69092 Loss: 116.569
-19200/69092 Loss: 118.385
-22400/69092 Loss: 118.070
-25600/69092 Loss: 115.436
-28800/69092 Loss: 116.705
-32000/69092 Loss: 115.048
-35200/69092 Loss: 118.282
-38400/69092 Loss: 117.069
-41600/69092 Loss: 115.870
-44800/69092 Loss: 117.483
-48000/69092 Loss: 116.781
-51200/69092 Loss: 118.254
-54400/69092 Loss: 115.811
-57600/69092 Loss: 116.128
-60800/69092 Loss: 116.566
-64000/69092 Loss: 115.452
-67200/69092 Loss: 118.371
-Training time 0:04:52.498969
-Epoch: 38 Average loss: 116.88
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 40)
-0/69092 Loss: 125.033
-3200/69092 Loss: 120.041
-6400/69092 Loss: 116.207
-9600/69092 Loss: 118.136
-12800/69092 Loss: 116.748
-16000/69092 Loss: 116.243
-19200/69092 Loss: 116.841
-22400/69092 Loss: 116.977
-25600/69092 Loss: 116.668
-28800/69092 Loss: 116.521
-32000/69092 Loss: 117.136
-35200/69092 Loss: 116.983
-38400/69092 Loss: 117.618
-41600/69092 Loss: 114.372
-44800/69092 Loss: 115.211
-48000/69092 Loss: 118.201
-51200/69092 Loss: 116.028
-54400/69092 Loss: 115.890
-57600/69092 Loss: 114.996
-60800/69092 Loss: 116.487
-64000/69092 Loss: 116.983
-67200/69092 Loss: 117.058
-Training time 0:04:50.387457
-Epoch: 39 Average loss: 116.77
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 41)
-0/69092 Loss: 110.258
-3200/69092 Loss: 117.252
-6400/69092 Loss: 117.309
-9600/69092 Loss: 116.297
-12800/69092 Loss: 117.236
-16000/69092 Loss: 117.996
-19200/69092 Loss: 118.234
-22400/69092 Loss: 118.257
-25600/69092 Loss: 116.130
-28800/69092 Loss: 117.185
-32000/69092 Loss: 115.816
-35200/69092 Loss: 115.462
-38400/69092 Loss: 117.363
-41600/69092 Loss: 116.068
-44800/69092 Loss: 116.302
-48000/69092 Loss: 117.931
-51200/69092 Loss: 114.693
-54400/69092 Loss: 116.760
-57600/69092 Loss: 114.889
-60800/69092 Loss: 116.937
-64000/69092 Loss: 116.777
-67200/69092 Loss: 117.384
-Training time 0:04:50.472581
-Epoch: 40 Average loss: 116.78
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 42)
-0/69092 Loss: 109.066
-3200/69092 Loss: 116.320
-6400/69092 Loss: 116.240
-9600/69092 Loss: 116.514
-12800/69092 Loss: 117.777
-16000/69092 Loss: 115.869
-19200/69092 Loss: 116.254
-22400/69092 Loss: 116.256
-25600/69092 Loss: 117.526
-28800/69092 Loss: 118.255
-32000/69092 Loss: 116.091
-35200/69092 Loss: 115.097
-38400/69092 Loss: 114.364
-41600/69092 Loss: 116.590
-44800/69092 Loss: 118.679
-48000/69092 Loss: 116.334
-51200/69092 Loss: 118.734
-54400/69092 Loss: 119.049
-57600/69092 Loss: 117.248
-60800/69092 Loss: 117.773
-64000/69092 Loss: 115.110
-67200/69092 Loss: 114.249
-Training time 0:04:50.321341
-Epoch: 41 Average loss: 116.70
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 43)
-0/69092 Loss: 116.922
-3200/69092 Loss: 115.485
-6400/69092 Loss: 118.106
-9600/69092 Loss: 116.983
-12800/69092 Loss: 115.947
-16000/69092 Loss: 116.718
-19200/69092 Loss: 118.177
-22400/69092 Loss: 117.735
-25600/69092 Loss: 116.123
-28800/69092 Loss: 117.093
-32000/69092 Loss: 117.513
-35200/69092 Loss: 116.709
-38400/69092 Loss: 116.535
-41600/69092 Loss: 117.350
-44800/69092 Loss: 118.415
-48000/69092 Loss: 116.725
-51200/69092 Loss: 117.575
-54400/69092 Loss: 116.148
-57600/69092 Loss: 115.328
-60800/69092 Loss: 116.508
-64000/69092 Loss: 117.187
-67200/69092 Loss: 115.227
-Training time 0:04:50.882292
-Epoch: 42 Average loss: 116.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 44)
-0/69092 Loss: 126.416
-3200/69092 Loss: 117.159
-6400/69092 Loss: 115.931
-9600/69092 Loss: 117.318
-12800/69092 Loss: 115.581
-16000/69092 Loss: 115.776
-19200/69092 Loss: 115.857
-22400/69092 Loss: 115.716
-25600/69092 Loss: 115.505
-28800/69092 Loss: 117.308
-32000/69092 Loss: 115.968
-35200/69092 Loss: 116.318
-38400/69092 Loss: 117.705
-41600/69092 Loss: 116.935
-44800/69092 Loss: 116.748
-48000/69092 Loss: 116.868
-51200/69092 Loss: 115.906
-54400/69092 Loss: 115.920
-57600/69092 Loss: 116.019
-60800/69092 Loss: 117.345
-64000/69092 Loss: 116.749
-67200/69092 Loss: 117.800
-Training time 0:04:50.692964
-Epoch: 43 Average loss: 116.44
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 45)
-0/69092 Loss: 113.226
-3200/69092 Loss: 116.414
-6400/69092 Loss: 115.403
-9600/69092 Loss: 114.424
-12800/69092 Loss: 116.078
-16000/69092 Loss: 118.299
-19200/69092 Loss: 115.333
-22400/69092 Loss: 118.434
-25600/69092 Loss: 117.068
-28800/69092 Loss: 117.351
-32000/69092 Loss: 116.913
-35200/69092 Loss: 116.053
-38400/69092 Loss: 115.261
-41600/69092 Loss: 113.541
-44800/69092 Loss: 117.611
-48000/69092 Loss: 115.486
-51200/69092 Loss: 116.020
-54400/69092 Loss: 114.984
-57600/69092 Loss: 116.429
-60800/69092 Loss: 117.387
-64000/69092 Loss: 118.603
-67200/69092 Loss: 117.236
-Training time 0:04:50.906052
-Epoch: 44 Average loss: 116.48
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 46)
-0/69092 Loss: 114.154
-3200/69092 Loss: 115.486
-6400/69092 Loss: 115.256
-9600/69092 Loss: 115.306
-12800/69092 Loss: 117.701
-16000/69092 Loss: 115.663
-19200/69092 Loss: 115.530
-22400/69092 Loss: 115.508
-25600/69092 Loss: 116.523
-28800/69092 Loss: 117.027
-32000/69092 Loss: 116.623
-35200/69092 Loss: 116.793
-38400/69092 Loss: 114.976
-41600/69092 Loss: 116.407
-44800/69092 Loss: 117.925
-48000/69092 Loss: 115.193
-51200/69092 Loss: 117.126
-54400/69092 Loss: 117.248
-57600/69092 Loss: 113.484
-60800/69092 Loss: 117.698
-64000/69092 Loss: 116.944
-67200/69092 Loss: 115.727
-Training time 0:04:49.102354
-Epoch: 45 Average loss: 116.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 47)
-0/69092 Loss: 110.757
-3200/69092 Loss: 115.191
-6400/69092 Loss: 115.617
-9600/69092 Loss: 116.033
-12800/69092 Loss: 115.286
-16000/69092 Loss: 116.425
-19200/69092 Loss: 116.590
-22400/69092 Loss: 115.571
-25600/69092 Loss: 116.207
-28800/69092 Loss: 116.555
-32000/69092 Loss: 117.130
-35200/69092 Loss: 114.536
-38400/69092 Loss: 115.110
-41600/69092 Loss: 116.440
-44800/69092 Loss: 114.962
-48000/69092 Loss: 117.549
-51200/69092 Loss: 116.202
-54400/69092 Loss: 116.490
-57600/69092 Loss: 115.999
-60800/69092 Loss: 115.435
-64000/69092 Loss: 117.503
-67200/69092 Loss: 117.120
-Training time 0:04:50.815465
-Epoch: 46 Average loss: 116.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 48)
-0/69092 Loss: 115.975
-3200/69092 Loss: 115.669
-6400/69092 Loss: 116.485
-9600/69092 Loss: 115.950
-12800/69092 Loss: 114.916
-16000/69092 Loss: 118.731
-19200/69092 Loss: 114.510
-22400/69092 Loss: 116.273
-25600/69092 Loss: 116.265
-28800/69092 Loss: 117.772
-32000/69092 Loss: 114.696
-35200/69092 Loss: 114.409
-38400/69092 Loss: 115.990
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-48000/69092 Loss: 117.679
-51200/69092 Loss: 116.516
-54400/69092 Loss: 117.912
-57600/69092 Loss: 116.147
-60800/69092 Loss: 116.550
-64000/69092 Loss: 115.431
-67200/69092 Loss: 116.913
-Training time 0:04:50.529880
-Epoch: 47 Average loss: 116.19
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 49)
-0/69092 Loss: 118.941
-3200/69092 Loss: 115.989
-6400/69092 Loss: 116.560
-9600/69092 Loss: 118.031
-12800/69092 Loss: 116.526
-16000/69092 Loss: 118.645
-19200/69092 Loss: 116.125
-22400/69092 Loss: 116.495
-25600/69092 Loss: 116.235
-28800/69092 Loss: 116.240
-32000/69092 Loss: 116.055
-35200/69092 Loss: 114.656
-38400/69092 Loss: 116.154
-41600/69092 Loss: 117.614
-44800/69092 Loss: 114.164
-48000/69092 Loss: 116.587
-51200/69092 Loss: 114.979
-54400/69092 Loss: 114.746
-57600/69092 Loss: 114.571
-60800/69092 Loss: 115.249
-64000/69092 Loss: 115.959
-67200/69092 Loss: 115.955
-Training time 0:04:50.316161
-Epoch: 48 Average loss: 116.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 50)
-0/69092 Loss: 118.445
-3200/69092 Loss: 116.011
-6400/69092 Loss: 115.451
-9600/69092 Loss: 116.933
-12800/69092 Loss: 116.725
-16000/69092 Loss: 114.365
-19200/69092 Loss: 116.176
-22400/69092 Loss: 115.867
-25600/69092 Loss: 113.811
-28800/69092 Loss: 117.353
-32000/69092 Loss: 115.446
-35200/69092 Loss: 115.863
-38400/69092 Loss: 117.233
-41600/69092 Loss: 114.420
-44800/69092 Loss: 116.427
-48000/69092 Loss: 115.379
-51200/69092 Loss: 116.464
-54400/69092 Loss: 115.967
-57600/69092 Loss: 114.872
-60800/69092 Loss: 116.183
-64000/69092 Loss: 116.950
-67200/69092 Loss: 116.495
-Training time 0:04:51.000314
-Epoch: 49 Average loss: 115.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 51)
-0/69092 Loss: 110.965
-3200/69092 Loss: 114.970
-6400/69092 Loss: 116.543
-9600/69092 Loss: 115.009
-12800/69092 Loss: 116.755
-16000/69092 Loss: 114.706
-19200/69092 Loss: 114.190
-22400/69092 Loss: 114.569
-25600/69092 Loss: 115.313
-28800/69092 Loss: 115.033
-32000/69092 Loss: 116.078
-35200/69092 Loss: 115.569
-38400/69092 Loss: 116.802
-41600/69092 Loss: 116.311
-44800/69092 Loss: 117.974
-48000/69092 Loss: 115.641
-51200/69092 Loss: 116.793
-54400/69092 Loss: 116.699
-57600/69092 Loss: 116.751
-60800/69092 Loss: 116.524
-64000/69092 Loss: 113.234
-67200/69092 Loss: 116.150
-Training time 0:04:51.109183
-Epoch: 50 Average loss: 115.80
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 52)
-0/69092 Loss: 108.017
-3200/69092 Loss: 114.934
-6400/69092 Loss: 114.856
-9600/69092 Loss: 116.531
-12800/69092 Loss: 113.770
-16000/69092 Loss: 115.197
-19200/69092 Loss: 116.244
-22400/69092 Loss: 115.346
-25600/69092 Loss: 116.879
-28800/69092 Loss: 116.504
-32000/69092 Loss: 114.772
-35200/69092 Loss: 117.467
-38400/69092 Loss: 114.945
-41600/69092 Loss: 115.933
-44800/69092 Loss: 116.462
-48000/69092 Loss: 115.551
-51200/69092 Loss: 115.669
-54400/69092 Loss: 115.515
-57600/69092 Loss: 115.213
-60800/69092 Loss: 117.749
-64000/69092 Loss: 115.684
-67200/69092 Loss: 116.791
-Training time 0:04:50.668655
-Epoch: 51 Average loss: 115.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 53)
-0/69092 Loss: 117.423
-3200/69092 Loss: 115.116
-6400/69092 Loss: 116.887
-9600/69092 Loss: 114.589
-12800/69092 Loss: 116.855
-16000/69092 Loss: 115.924
-19200/69092 Loss: 116.141
-22400/69092 Loss: 116.903
-25600/69092 Loss: 114.613
-28800/69092 Loss: 113.224
-32000/69092 Loss: 117.233
-35200/69092 Loss: 116.103
-38400/69092 Loss: 114.733
-41600/69092 Loss: 116.245
-44800/69092 Loss: 115.208
-48000/69092 Loss: 116.370
-51200/69092 Loss: 115.745
-54400/69092 Loss: 113.581
-57600/69092 Loss: 116.676
-60800/69092 Loss: 116.732
-64000/69092 Loss: 117.132
-67200/69092 Loss: 115.330
-Training time 0:04:51.758798
-Epoch: 52 Average loss: 115.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 54)
-0/69092 Loss: 107.363
-3200/69092 Loss: 115.455
-6400/69092 Loss: 114.363
-9600/69092 Loss: 113.316
-12800/69092 Loss: 114.088
-16000/69092 Loss: 115.876
-19200/69092 Loss: 114.352
-22400/69092 Loss: 115.823
-25600/69092 Loss: 114.822
-28800/69092 Loss: 116.164
-32000/69092 Loss: 117.430
-35200/69092 Loss: 115.201
-38400/69092 Loss: 117.835
-41600/69092 Loss: 117.573
-44800/69092 Loss: 116.864
-48000/69092 Loss: 113.686
-51200/69092 Loss: 114.353
-54400/69092 Loss: 116.330
-57600/69092 Loss: 116.880
-60800/69092 Loss: 115.311
-64000/69092 Loss: 117.652
-67200/69092 Loss: 115.619
-Training time 0:04:49.333246
-Epoch: 53 Average loss: 115.65
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 55)
-0/69092 Loss: 111.250
-3200/69092 Loss: 115.047
-6400/69092 Loss: 116.211
-9600/69092 Loss: 114.196
-12800/69092 Loss: 114.638
-16000/69092 Loss: 114.877
-19200/69092 Loss: 117.125
-22400/69092 Loss: 116.822
-25600/69092 Loss: 116.239
-28800/69092 Loss: 115.250
-32000/69092 Loss: 116.520
-35200/69092 Loss: 116.383
-38400/69092 Loss: 116.305
-41600/69092 Loss: 115.319
-44800/69092 Loss: 115.305
-48000/69092 Loss: 114.337
-51200/69092 Loss: 114.042
-54400/69092 Loss: 115.618
-57600/69092 Loss: 115.546
-60800/69092 Loss: 115.192
-64000/69092 Loss: 115.025
-67200/69092 Loss: 113.886
-Training time 0:04:51.174373
-Epoch: 54 Average loss: 115.46
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 56)
-0/69092 Loss: 121.345
-3200/69092 Loss: 116.380
-6400/69092 Loss: 114.931
-9600/69092 Loss: 115.219
-12800/69092 Loss: 113.502
-16000/69092 Loss: 115.090
-19200/69092 Loss: 117.525
-22400/69092 Loss: 115.704
-25600/69092 Loss: 114.509
-28800/69092 Loss: 116.143
-32000/69092 Loss: 117.079
-35200/69092 Loss: 115.237
-38400/69092 Loss: 114.852
-41600/69092 Loss: 116.465
-44800/69092 Loss: 114.581
-48000/69092 Loss: 115.045
-51200/69092 Loss: 114.057
-54400/69092 Loss: 116.492
-57600/69092 Loss: 114.078
-60800/69092 Loss: 112.629
-64000/69092 Loss: 114.679
-67200/69092 Loss: 115.498
-Training time 0:04:52.204344
-Epoch: 55 Average loss: 115.23
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 57)
-0/69092 Loss: 105.918
-3200/69092 Loss: 114.693
-6400/69092 Loss: 115.644
-9600/69092 Loss: 114.654
-12800/69092 Loss: 115.317
-16000/69092 Loss: 115.527
-19200/69092 Loss: 113.368
-22400/69092 Loss: 116.289
-25600/69092 Loss: 114.841
-28800/69092 Loss: 115.621
-32000/69092 Loss: 116.214
-35200/69092 Loss: 116.268
-38400/69092 Loss: 116.120
-41600/69092 Loss: 115.684
-44800/69092 Loss: 114.851
-48000/69092 Loss: 117.124
-51200/69092 Loss: 116.559
-54400/69092 Loss: 113.316
-57600/69092 Loss: 113.417
-60800/69092 Loss: 115.656
-64000/69092 Loss: 114.335
-67200/69092 Loss: 117.134
-Training time 0:04:49.365066
-Epoch: 56 Average loss: 115.40
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 58)
-0/69092 Loss: 130.230
-3200/69092 Loss: 113.360
-6400/69092 Loss: 115.075
-9600/69092 Loss: 113.792
-12800/69092 Loss: 115.990
-16000/69092 Loss: 116.490
-19200/69092 Loss: 117.062
-22400/69092 Loss: 115.459
-25600/69092 Loss: 112.523
-28800/69092 Loss: 115.314
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-35200/69092 Loss: 115.395
-38400/69092 Loss: 115.698
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-44800/69092 Loss: 116.958
-48000/69092 Loss: 115.300
-51200/69092 Loss: 115.323
-54400/69092 Loss: 113.655
-57600/69092 Loss: 115.774
-60800/69092 Loss: 116.198
-64000/69092 Loss: 116.066
-67200/69092 Loss: 117.171
-Training time 0:04:50.333766
-Epoch: 57 Average loss: 115.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 59)
-0/69092 Loss: 110.380
-3200/69092 Loss: 117.242
-6400/69092 Loss: 115.368
-9600/69092 Loss: 116.128
-12800/69092 Loss: 115.609
-16000/69092 Loss: 114.974
-19200/69092 Loss: 114.545
-22400/69092 Loss: 113.922
-25600/69092 Loss: 116.304
-28800/69092 Loss: 112.777
-32000/69092 Loss: 116.925
-35200/69092 Loss: 115.065
-38400/69092 Loss: 115.531
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-44800/69092 Loss: 115.650
-48000/69092 Loss: 114.513
-51200/69092 Loss: 114.802
-54400/69092 Loss: 114.561
-57600/69092 Loss: 114.275
-60800/69092 Loss: 116.770
-64000/69092 Loss: 115.084
-67200/69092 Loss: 114.219
-Training time 0:04:50.861188
-Epoch: 58 Average loss: 115.18
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 60)
-0/69092 Loss: 120.938
-3200/69092 Loss: 116.526
-6400/69092 Loss: 113.273
-9600/69092 Loss: 114.060
-12800/69092 Loss: 115.242
-16000/69092 Loss: 116.480
-19200/69092 Loss: 114.736
-22400/69092 Loss: 115.080
-25600/69092 Loss: 114.591
-28800/69092 Loss: 114.889
-32000/69092 Loss: 114.226
-35200/69092 Loss: 114.526
-38400/69092 Loss: 114.164
-41600/69092 Loss: 114.240
-44800/69092 Loss: 116.406
-48000/69092 Loss: 113.433
-51200/69092 Loss: 117.690
-54400/69092 Loss: 115.850
-57600/69092 Loss: 113.394
-60800/69092 Loss: 115.963
-64000/69092 Loss: 114.316
-67200/69092 Loss: 116.932
-Training time 0:04:51.653567
-Epoch: 59 Average loss: 115.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 61)
-0/69092 Loss: 129.070
-3200/69092 Loss: 113.538
-6400/69092 Loss: 116.309
-9600/69092 Loss: 115.728
-12800/69092 Loss: 114.899
-16000/69092 Loss: 114.760
-19200/69092 Loss: 116.447
-22400/69092 Loss: 115.839
-25600/69092 Loss: 114.601
-28800/69092 Loss: 112.923
-32000/69092 Loss: 115.536
-35200/69092 Loss: 116.740
-38400/69092 Loss: 114.354
-41600/69092 Loss: 116.054
-44800/69092 Loss: 114.711
-48000/69092 Loss: 114.170
-51200/69092 Loss: 114.636
-54400/69092 Loss: 115.156
-57600/69092 Loss: 113.717
-60800/69092 Loss: 116.622
-64000/69092 Loss: 115.291
-67200/69092 Loss: 115.842
-Training time 0:04:49.531087
-Epoch: 60 Average loss: 115.18
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 62)
-0/69092 Loss: 113.572
-3200/69092 Loss: 115.474
-6400/69092 Loss: 116.251
-9600/69092 Loss: 116.395
-12800/69092 Loss: 114.333
-16000/69092 Loss: 114.263
-19200/69092 Loss: 112.245
-22400/69092 Loss: 114.744
-25600/69092 Loss: 115.087
-28800/69092 Loss: 117.191
-32000/69092 Loss: 114.861
-35200/69092 Loss: 115.426
-38400/69092 Loss: 115.288
-41600/69092 Loss: 114.900
-44800/69092 Loss: 114.223
-48000/69092 Loss: 114.517
-51200/69092 Loss: 114.747
-54400/69092 Loss: 116.455
-57600/69092 Loss: 115.121
-60800/69092 Loss: 113.595
-64000/69092 Loss: 115.817
-67200/69092 Loss: 113.993
-Training time 0:04:49.861094
-Epoch: 61 Average loss: 115.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 63)
-0/69092 Loss: 120.034
-3200/69092 Loss: 114.612
-6400/69092 Loss: 114.035
-9600/69092 Loss: 117.415
-12800/69092 Loss: 115.067
-16000/69092 Loss: 113.959
-19200/69092 Loss: 113.977
-22400/69092 Loss: 112.873
-25600/69092 Loss: 114.675
-28800/69092 Loss: 113.659
-32000/69092 Loss: 116.643
-35200/69092 Loss: 116.369
-38400/69092 Loss: 116.391
-41600/69092 Loss: 114.723
-44800/69092 Loss: 115.430
-48000/69092 Loss: 115.085
-51200/69092 Loss: 113.667
-54400/69092 Loss: 114.991
-57600/69092 Loss: 115.769
-60800/69092 Loss: 114.969
-64000/69092 Loss: 112.662
-67200/69092 Loss: 115.065
-Training time 0:04:50.082754
-Epoch: 62 Average loss: 114.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 64)
-0/69092 Loss: 107.914
-3200/69092 Loss: 115.811
-6400/69092 Loss: 114.845
-9600/69092 Loss: 115.219
-12800/69092 Loss: 113.002
-16000/69092 Loss: 114.682
-19200/69092 Loss: 114.980
-22400/69092 Loss: 114.454
-25600/69092 Loss: 113.652
-28800/69092 Loss: 115.837
-32000/69092 Loss: 115.660
-35200/69092 Loss: 114.064
-38400/69092 Loss: 116.172
-41600/69092 Loss: 114.529
-44800/69092 Loss: 115.625
-48000/69092 Loss: 115.497
-51200/69092 Loss: 116.070
-54400/69092 Loss: 114.471
-57600/69092 Loss: 115.314
-60800/69092 Loss: 114.247
-64000/69092 Loss: 116.192
-67200/69092 Loss: 113.941
-Training time 0:04:49.957412
-Epoch: 63 Average loss: 114.98
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 65)
-0/69092 Loss: 116.641
-3200/69092 Loss: 114.474
-6400/69092 Loss: 112.499
-9600/69092 Loss: 116.596
-12800/69092 Loss: 114.035
-16000/69092 Loss: 114.961
-19200/69092 Loss: 115.245
-22400/69092 Loss: 115.777
-25600/69092 Loss: 114.787
-28800/69092 Loss: 113.626
-32000/69092 Loss: 114.013
-35200/69092 Loss: 115.915
-38400/69092 Loss: 114.022
-41600/69092 Loss: 114.241
-44800/69092 Loss: 115.958
-48000/69092 Loss: 113.939
-51200/69092 Loss: 116.508
-54400/69092 Loss: 114.077
-57600/69092 Loss: 115.458
-60800/69092 Loss: 113.704
-64000/69092 Loss: 115.936
-67200/69092 Loss: 114.465
-Training time 0:04:49.658180
-Epoch: 64 Average loss: 114.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 66)
-0/69092 Loss: 112.635
-3200/69092 Loss: 114.548
-6400/69092 Loss: 114.231
-9600/69092 Loss: 115.587
-12800/69092 Loss: 114.641
-16000/69092 Loss: 115.595
-19200/69092 Loss: 113.876
-22400/69092 Loss: 113.440
-25600/69092 Loss: 116.155
-28800/69092 Loss: 114.903
-32000/69092 Loss: 112.486
-35200/69092 Loss: 113.886
-38400/69092 Loss: 116.748
-41600/69092 Loss: 116.410
-44800/69092 Loss: 114.976
-48000/69092 Loss: 115.530
-51200/69092 Loss: 116.601
-54400/69092 Loss: 114.131
-57600/69092 Loss: 115.115
-60800/69092 Loss: 113.630
-64000/69092 Loss: 114.185
-67200/69092 Loss: 114.594
-Training time 0:04:50.297879
-Epoch: 65 Average loss: 114.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 67)
-0/69092 Loss: 125.901
-3200/69092 Loss: 115.050
-6400/69092 Loss: 112.895
-9600/69092 Loss: 114.888
-12800/69092 Loss: 114.904
-16000/69092 Loss: 114.360
-19200/69092 Loss: 114.818
-22400/69092 Loss: 114.196
-25600/69092 Loss: 114.682
-28800/69092 Loss: 114.934
-32000/69092 Loss: 114.733
-35200/69092 Loss: 114.040
-38400/69092 Loss: 115.150
-41600/69092 Loss: 115.889
-44800/69092 Loss: 115.538
-48000/69092 Loss: 115.784
-51200/69092 Loss: 113.973
-54400/69092 Loss: 117.135
-57600/69092 Loss: 114.236
-60800/69092 Loss: 114.949
-64000/69092 Loss: 113.168
-67200/69092 Loss: 116.649
-Training time 0:04:51.649768
-Epoch: 66 Average loss: 114.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 68)
-0/69092 Loss: 109.445
-3200/69092 Loss: 114.568
-6400/69092 Loss: 115.636
-9600/69092 Loss: 114.090
-12800/69092 Loss: 117.041
-16000/69092 Loss: 115.497
-19200/69092 Loss: 114.000
-22400/69092 Loss: 114.204
-25600/69092 Loss: 115.507
-28800/69092 Loss: 114.216
-32000/69092 Loss: 115.093
-35200/69092 Loss: 113.535
-38400/69092 Loss: 115.401
-41600/69092 Loss: 113.445
-44800/69092 Loss: 115.084
-48000/69092 Loss: 113.895
-51200/69092 Loss: 116.076
-54400/69092 Loss: 112.761
-57600/69092 Loss: 114.978
-60800/69092 Loss: 114.853
-64000/69092 Loss: 113.223
-67200/69092 Loss: 115.037
-Training time 0:04:50.448239
-Epoch: 67 Average loss: 114.70
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 69)
-0/69092 Loss: 121.913
-3200/69092 Loss: 113.246
-6400/69092 Loss: 114.522
-9600/69092 Loss: 116.150
-12800/69092 Loss: 114.766
-16000/69092 Loss: 114.983
-19200/69092 Loss: 114.599
-22400/69092 Loss: 115.377
-25600/69092 Loss: 114.733
-28800/69092 Loss: 113.788
-32000/69092 Loss: 115.150
-35200/69092 Loss: 116.280
-38400/69092 Loss: 114.409
-41600/69092 Loss: 114.290
-44800/69092 Loss: 114.097
-48000/69092 Loss: 113.125
-51200/69092 Loss: 114.332
-54400/69092 Loss: 115.385
-57600/69092 Loss: 114.851
-60800/69092 Loss: 113.286
-64000/69092 Loss: 115.712
-67200/69092 Loss: 115.736
-Training time 0:04:51.138483
-Epoch: 68 Average loss: 114.63
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 70)
-0/69092 Loss: 125.051
-3200/69092 Loss: 115.102
-6400/69092 Loss: 114.087
-9600/69092 Loss: 116.201
-12800/69092 Loss: 113.721
-16000/69092 Loss: 114.431
-19200/69092 Loss: 115.753
-22400/69092 Loss: 115.861
-25600/69092 Loss: 114.995
-28800/69092 Loss: 113.949
-32000/69092 Loss: 115.319
-35200/69092 Loss: 114.642
-38400/69092 Loss: 114.189
-41600/69092 Loss: 113.771
-44800/69092 Loss: 113.618
-48000/69092 Loss: 115.785
-51200/69092 Loss: 113.695
-54400/69092 Loss: 114.677
-57600/69092 Loss: 114.020
-60800/69092 Loss: 113.694
-64000/69092 Loss: 113.486
-67200/69092 Loss: 112.500
-Training time 0:04:49.815245
-Epoch: 69 Average loss: 114.48
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 71)
-0/69092 Loss: 118.067
-3200/69092 Loss: 114.432
-6400/69092 Loss: 116.424
-9600/69092 Loss: 113.103
-12800/69092 Loss: 113.420
-16000/69092 Loss: 114.150
-19200/69092 Loss: 112.896
-22400/69092 Loss: 114.493
-25600/69092 Loss: 116.477
-28800/69092 Loss: 114.754
-32000/69092 Loss: 113.572
-35200/69092 Loss: 112.137
-38400/69092 Loss: 114.255
-41600/69092 Loss: 114.041
-44800/69092 Loss: 114.902
-48000/69092 Loss: 114.853
-51200/69092 Loss: 114.115
-54400/69092 Loss: 111.929
-57600/69092 Loss: 113.867
-60800/69092 Loss: 115.578
-64000/69092 Loss: 115.253
-67200/69092 Loss: 114.495
-Training time 0:04:51.925960
-Epoch: 70 Average loss: 114.37
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 72)
-0/69092 Loss: 110.626
-3200/69092 Loss: 115.597
-6400/69092 Loss: 113.847
-9600/69092 Loss: 112.283
-12800/69092 Loss: 114.362
-16000/69092 Loss: 114.564
-19200/69092 Loss: 115.204
-22400/69092 Loss: 114.233
-25600/69092 Loss: 114.334
-28800/69092 Loss: 114.784
-32000/69092 Loss: 112.240
-35200/69092 Loss: 114.379
-38400/69092 Loss: 115.718
-41600/69092 Loss: 114.241
-44800/69092 Loss: 115.565
-48000/69092 Loss: 114.088
-51200/69092 Loss: 115.310
-54400/69092 Loss: 113.681
-57600/69092 Loss: 112.798
-60800/69092 Loss: 114.490
-64000/69092 Loss: 115.532
-67200/69092 Loss: 115.908
-Training time 0:04:51.263301
-Epoch: 71 Average loss: 114.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 73)
-0/69092 Loss: 126.524
-3200/69092 Loss: 112.766
-6400/69092 Loss: 114.966
-9600/69092 Loss: 114.645
-12800/69092 Loss: 115.025
-16000/69092 Loss: 115.586
-19200/69092 Loss: 114.933
-22400/69092 Loss: 113.922
-25600/69092 Loss: 115.301
-28800/69092 Loss: 113.919
-32000/69092 Loss: 116.193
-35200/69092 Loss: 114.761
-38400/69092 Loss: 111.971
-41600/69092 Loss: 116.336
-44800/69092 Loss: 113.653
-48000/69092 Loss: 115.769
-51200/69092 Loss: 112.701
-54400/69092 Loss: 114.297
-57600/69092 Loss: 112.923
-60800/69092 Loss: 111.982
-64000/69092 Loss: 114.084
-67200/69092 Loss: 115.607
-Training time 0:04:52.005985
-Epoch: 72 Average loss: 114.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 74)
-0/69092 Loss: 112.065
-3200/69092 Loss: 114.408
-6400/69092 Loss: 114.604
-9600/69092 Loss: 114.376
-12800/69092 Loss: 113.403
-16000/69092 Loss: 114.143
-19200/69092 Loss: 115.974
-22400/69092 Loss: 113.870
-25600/69092 Loss: 114.257
-28800/69092 Loss: 114.431
-32000/69092 Loss: 115.319
-35200/69092 Loss: 113.325
-38400/69092 Loss: 115.692
-41600/69092 Loss: 114.905
-44800/69092 Loss: 113.285
-48000/69092 Loss: 112.058
-51200/69092 Loss: 115.133
-54400/69092 Loss: 114.319
-57600/69092 Loss: 115.527
-60800/69092 Loss: 112.734
-64000/69092 Loss: 113.817
-67200/69092 Loss: 115.289
-Training time 0:04:50.372596
-Epoch: 73 Average loss: 114.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 75)
-0/69092 Loss: 108.900
-3200/69092 Loss: 113.069
-6400/69092 Loss: 116.169
-9600/69092 Loss: 113.440
-12800/69092 Loss: 114.160
-16000/69092 Loss: 115.020
-19200/69092 Loss: 116.341
-22400/69092 Loss: 113.578
-25600/69092 Loss: 113.593
-28800/69092 Loss: 114.390
-32000/69092 Loss: 113.834
-35200/69092 Loss: 113.907
-38400/69092 Loss: 116.457
-41600/69092 Loss: 113.770
-44800/69092 Loss: 114.490
-48000/69092 Loss: 113.662
-51200/69092 Loss: 114.060
-54400/69092 Loss: 111.935
-57600/69092 Loss: 114.180
-60800/69092 Loss: 113.947
-64000/69092 Loss: 116.748
-67200/69092 Loss: 114.355
-Training time 0:04:50.022412
-Epoch: 74 Average loss: 114.31
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 76)
-0/69092 Loss: 119.328
-3200/69092 Loss: 113.290
-6400/69092 Loss: 115.541
-9600/69092 Loss: 114.173
-12800/69092 Loss: 115.024
-16000/69092 Loss: 113.129
-19200/69092 Loss: 114.460
-22400/69092 Loss: 114.829
-25600/69092 Loss: 114.816
-28800/69092 Loss: 112.927
-32000/69092 Loss: 113.915
-35200/69092 Loss: 113.821
-38400/69092 Loss: 113.344
-41600/69092 Loss: 113.747
-44800/69092 Loss: 113.595
-48000/69092 Loss: 114.600
-51200/69092 Loss: 113.716
-54400/69092 Loss: 116.395
-57600/69092 Loss: 114.278
-60800/69092 Loss: 113.421
-64000/69092 Loss: 115.272
-67200/69092 Loss: 114.376
-Training time 0:04:50.965335
-Epoch: 75 Average loss: 114.24
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 77)
-0/69092 Loss: 106.325
-3200/69092 Loss: 114.237
-6400/69092 Loss: 112.202
-9600/69092 Loss: 114.797
-12800/69092 Loss: 113.953
-16000/69092 Loss: 114.647
-19200/69092 Loss: 113.164
-22400/69092 Loss: 114.101
-25600/69092 Loss: 115.652
-28800/69092 Loss: 116.110
-32000/69092 Loss: 112.867
-35200/69092 Loss: 113.098
-38400/69092 Loss: 115.475
-41600/69092 Loss: 115.695
-44800/69092 Loss: 115.099
-48000/69092 Loss: 114.189
-51200/69092 Loss: 113.810
-54400/69092 Loss: 113.467
-57600/69092 Loss: 113.638
-60800/69092 Loss: 113.796
-64000/69092 Loss: 112.408
-67200/69092 Loss: 115.216
-Training time 0:04:48.314100
-Epoch: 76 Average loss: 114.17
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 78)
-0/69092 Loss: 111.949
-3200/69092 Loss: 114.600
-6400/69092 Loss: 115.056
-9600/69092 Loss: 114.120
-12800/69092 Loss: 114.041
-16000/69092 Loss: 113.095
-19200/69092 Loss: 115.825
-22400/69092 Loss: 112.967
-25600/69092 Loss: 113.657
-28800/69092 Loss: 113.907
-32000/69092 Loss: 114.831
-35200/69092 Loss: 116.393
-38400/69092 Loss: 114.758
-41600/69092 Loss: 111.627
-44800/69092 Loss: 113.137
-48000/69092 Loss: 114.459
-51200/69092 Loss: 114.188
-54400/69092 Loss: 114.140
-57600/69092 Loss: 113.776
-60800/69092 Loss: 114.968
-64000/69092 Loss: 114.500
-67200/69092 Loss: 111.762
-Training time 0:04:50.516608
-Epoch: 77 Average loss: 114.08
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 79)
-0/69092 Loss: 120.149
-3200/69092 Loss: 113.093
-6400/69092 Loss: 111.723
-9600/69092 Loss: 113.978
-12800/69092 Loss: 114.171
-16000/69092 Loss: 113.628
-19200/69092 Loss: 114.345
-22400/69092 Loss: 114.132
-25600/69092 Loss: 114.419
-28800/69092 Loss: 113.464
-32000/69092 Loss: 112.627
-35200/69092 Loss: 114.483
-38400/69092 Loss: 113.634
-41600/69092 Loss: 116.167
-44800/69092 Loss: 113.841
-48000/69092 Loss: 114.498
-51200/69092 Loss: 114.056
-54400/69092 Loss: 114.758
-57600/69092 Loss: 113.521
-60800/69092 Loss: 113.663
-64000/69092 Loss: 115.677
-67200/69092 Loss: 115.055
-Training time 0:04:51.375221
-Epoch: 78 Average loss: 114.03
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 80)
-0/69092 Loss: 112.982
-3200/69092 Loss: 114.917
-6400/69092 Loss: 114.844
-9600/69092 Loss: 112.990
-12800/69092 Loss: 112.300
-16000/69092 Loss: 114.665
-19200/69092 Loss: 113.423
-22400/69092 Loss: 114.391
-25600/69092 Loss: 112.353
-28800/69092 Loss: 114.761
-32000/69092 Loss: 113.442
-35200/69092 Loss: 114.386
-38400/69092 Loss: 114.219
-41600/69092 Loss: 113.040
-44800/69092 Loss: 113.246
-48000/69092 Loss: 113.242
-51200/69092 Loss: 114.584
-54400/69092 Loss: 113.588
-57600/69092 Loss: 115.343
-60800/69092 Loss: 113.627
-64000/69092 Loss: 115.992
-67200/69092 Loss: 113.429
-Training time 0:04:52.295794
-Epoch: 79 Average loss: 113.96
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 81)
-0/69092 Loss: 114.161
-3200/69092 Loss: 113.462
-6400/69092 Loss: 113.622
-9600/69092 Loss: 114.331
-12800/69092 Loss: 114.920
-16000/69092 Loss: 115.949
-19200/69092 Loss: 115.160
-22400/69092 Loss: 113.351
-25600/69092 Loss: 115.150
-28800/69092 Loss: 112.688
-32000/69092 Loss: 111.680
-35200/69092 Loss: 113.813
-38400/69092 Loss: 113.434
-41600/69092 Loss: 113.293
-44800/69092 Loss: 115.529
-48000/69092 Loss: 114.092
-51200/69092 Loss: 113.028
-54400/69092 Loss: 112.844
-57600/69092 Loss: 113.923
-60800/69092 Loss: 113.820
-64000/69092 Loss: 114.425
-67200/69092 Loss: 113.621
-Training time 0:04:51.764568
-Epoch: 80 Average loss: 113.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 82)
-0/69092 Loss: 107.403
-3200/69092 Loss: 114.295
-6400/69092 Loss: 112.806
-9600/69092 Loss: 115.963
-12800/69092 Loss: 115.544
-16000/69092 Loss: 114.910
-19200/69092 Loss: 112.273
-22400/69092 Loss: 115.473
-25600/69092 Loss: 112.662
-28800/69092 Loss: 115.452
-32000/69092 Loss: 113.634
-35200/69092 Loss: 113.874
-38400/69092 Loss: 111.303
-41600/69092 Loss: 114.504
-44800/69092 Loss: 112.888
-48000/69092 Loss: 113.844
-51200/69092 Loss: 114.398
-54400/69092 Loss: 113.549
-57600/69092 Loss: 116.015
-60800/69092 Loss: 112.868
-64000/69092 Loss: 112.874
-67200/69092 Loss: 112.393
-Training time 0:04:52.298415
-Epoch: 81 Average loss: 113.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 83)
-0/69092 Loss: 107.947
-3200/69092 Loss: 114.589
-6400/69092 Loss: 114.348
-9600/69092 Loss: 114.530
-12800/69092 Loss: 113.244
-16000/69092 Loss: 114.148
-19200/69092 Loss: 114.319
-22400/69092 Loss: 113.858
-25600/69092 Loss: 116.558
-28800/69092 Loss: 112.606
-32000/69092 Loss: 114.654
-35200/69092 Loss: 113.615
-38400/69092 Loss: 114.364
-41600/69092 Loss: 114.591
-44800/69092 Loss: 113.994
-48000/69092 Loss: 114.206
-51200/69092 Loss: 112.193
-54400/69092 Loss: 111.868
-57600/69092 Loss: 112.703
-60800/69092 Loss: 113.730
-64000/69092 Loss: 113.579
-67200/69092 Loss: 113.643
-Training time 0:04:51.209246
-Epoch: 82 Average loss: 113.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 84)
-0/69092 Loss: 107.467
-3200/69092 Loss: 114.237
-6400/69092 Loss: 114.535
-9600/69092 Loss: 112.398
-12800/69092 Loss: 113.000
-16000/69092 Loss: 113.300
-19200/69092 Loss: 114.881
-22400/69092 Loss: 113.460
-25600/69092 Loss: 112.801
-28800/69092 Loss: 115.524
-32000/69092 Loss: 114.338
-35200/69092 Loss: 113.895
-38400/69092 Loss: 113.508
-41600/69092 Loss: 112.388
-44800/69092 Loss: 115.688
-48000/69092 Loss: 113.361
-51200/69092 Loss: 114.276
-54400/69092 Loss: 112.706
-57600/69092 Loss: 114.713
-60800/69092 Loss: 113.868
-64000/69092 Loss: 114.698
-67200/69092 Loss: 113.222
-Training time 0:04:52.280438
-Epoch: 83 Average loss: 113.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 85)
-0/69092 Loss: 106.944
-3200/69092 Loss: 115.518
-6400/69092 Loss: 115.470
-9600/69092 Loss: 114.716
-12800/69092 Loss: 113.934
-16000/69092 Loss: 113.233
-19200/69092 Loss: 113.723
-22400/69092 Loss: 114.237
-25600/69092 Loss: 110.741
-28800/69092 Loss: 114.205
-32000/69092 Loss: 113.444
-35200/69092 Loss: 113.357
-38400/69092 Loss: 111.711
-41600/69092 Loss: 114.080
-44800/69092 Loss: 114.114
-48000/69092 Loss: 115.278
-51200/69092 Loss: 112.557
-54400/69092 Loss: 114.194
-57600/69092 Loss: 113.822
-60800/69092 Loss: 114.116
-64000/69092 Loss: 113.442
-67200/69092 Loss: 114.152
-Training time 0:04:54.264285
-Epoch: 84 Average loss: 113.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 86)
-0/69092 Loss: 112.850
-3200/69092 Loss: 113.493
-6400/69092 Loss: 113.656
-9600/69092 Loss: 114.496
-12800/69092 Loss: 112.854
-16000/69092 Loss: 114.891
-19200/69092 Loss: 113.072
-22400/69092 Loss: 113.396
-25600/69092 Loss: 112.900
-28800/69092 Loss: 113.637
-32000/69092 Loss: 113.876
-35200/69092 Loss: 114.509
-38400/69092 Loss: 114.604
-41600/69092 Loss: 112.058
-44800/69092 Loss: 113.134
-48000/69092 Loss: 113.515
-51200/69092 Loss: 114.492
-54400/69092 Loss: 113.979
-57600/69092 Loss: 114.504
-60800/69092 Loss: 112.922
-64000/69092 Loss: 113.027
-67200/69092 Loss: 115.655
-Training time 0:04:51.105966
-Epoch: 85 Average loss: 113.80
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 87)
-0/69092 Loss: 94.388
-3200/69092 Loss: 111.242
-6400/69092 Loss: 112.348
-9600/69092 Loss: 115.769
-12800/69092 Loss: 115.243
-16000/69092 Loss: 113.438
-19200/69092 Loss: 113.098
-22400/69092 Loss: 112.425
-25600/69092 Loss: 112.287
-28800/69092 Loss: 112.773
-32000/69092 Loss: 112.341
-35200/69092 Loss: 114.409
-38400/69092 Loss: 113.970
-41600/69092 Loss: 114.154
-44800/69092 Loss: 114.033
-48000/69092 Loss: 115.759
-51200/69092 Loss: 114.301
-54400/69092 Loss: 113.919
-57600/69092 Loss: 114.798
-60800/69092 Loss: 113.820
-64000/69092 Loss: 115.980
-67200/69092 Loss: 112.752
-Training time 0:04:52.219598
-Epoch: 86 Average loss: 113.70
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 88)
-0/69092 Loss: 121.401
-3200/69092 Loss: 112.879
-6400/69092 Loss: 114.243
-9600/69092 Loss: 112.702
-12800/69092 Loss: 112.158
-16000/69092 Loss: 113.485
-19200/69092 Loss: 114.173
-22400/69092 Loss: 112.978
-25600/69092 Loss: 114.152
-28800/69092 Loss: 114.511
-32000/69092 Loss: 112.840
-35200/69092 Loss: 113.681
-38400/69092 Loss: 114.121
-41600/69092 Loss: 113.551
-44800/69092 Loss: 113.046
-48000/69092 Loss: 113.967
-51200/69092 Loss: 112.369
-54400/69092 Loss: 112.924
-57600/69092 Loss: 113.448
-60800/69092 Loss: 116.035
-64000/69092 Loss: 115.074
-67200/69092 Loss: 112.418
-Training time 0:04:51.213202
-Epoch: 87 Average loss: 113.56
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 89)
-0/69092 Loss: 111.812
-3200/69092 Loss: 113.849
-6400/69092 Loss: 113.464
-9600/69092 Loss: 115.864
-12800/69092 Loss: 112.305
-16000/69092 Loss: 113.882
-19200/69092 Loss: 112.665
-22400/69092 Loss: 115.261
-25600/69092 Loss: 113.349
-28800/69092 Loss: 112.552
-32000/69092 Loss: 113.600
-35200/69092 Loss: 114.422
-38400/69092 Loss: 114.059
-41600/69092 Loss: 113.211
-44800/69092 Loss: 113.649
-48000/69092 Loss: 114.113
-51200/69092 Loss: 113.820
-54400/69092 Loss: 112.448
-57600/69092 Loss: 113.484
-60800/69092 Loss: 112.836
-64000/69092 Loss: 115.360
-67200/69092 Loss: 114.395
-Training time 0:04:52.346897
-Epoch: 88 Average loss: 113.74
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 90)
-0/69092 Loss: 123.009
-3200/69092 Loss: 114.672
-6400/69092 Loss: 114.283
-9600/69092 Loss: 113.250
-12800/69092 Loss: 114.013
-16000/69092 Loss: 115.927
-19200/69092 Loss: 112.359
-22400/69092 Loss: 114.315
-25600/69092 Loss: 113.557
-28800/69092 Loss: 113.454
-32000/69092 Loss: 114.627
-35200/69092 Loss: 112.778
-38400/69092 Loss: 114.176
-41600/69092 Loss: 112.950
-44800/69092 Loss: 113.211
-48000/69092 Loss: 113.908
-51200/69092 Loss: 112.994
-54400/69092 Loss: 113.669
-57600/69092 Loss: 113.994
-60800/69092 Loss: 113.695
-64000/69092 Loss: 113.448
-67200/69092 Loss: 112.353
-Training time 0:04:51.132729
-Epoch: 89 Average loss: 113.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 91)
-0/69092 Loss: 107.751
-3200/69092 Loss: 115.992
-6400/69092 Loss: 111.825
-9600/69092 Loss: 115.858
-12800/69092 Loss: 114.290
-16000/69092 Loss: 112.762
-19200/69092 Loss: 112.139
-22400/69092 Loss: 113.851
-25600/69092 Loss: 112.673
-28800/69092 Loss: 113.076
-32000/69092 Loss: 114.495
-35200/69092 Loss: 113.640
-38400/69092 Loss: 116.184
-41600/69092 Loss: 114.355
-44800/69092 Loss: 111.952
-48000/69092 Loss: 113.720
-51200/69092 Loss: 113.271
-54400/69092 Loss: 112.506
-57600/69092 Loss: 110.996
-60800/69092 Loss: 112.843
-64000/69092 Loss: 113.444
-67200/69092 Loss: 114.445
-Training time 0:04:50.625156
-Epoch: 90 Average loss: 113.53
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 92)
-0/69092 Loss: 112.598
-3200/69092 Loss: 113.812
-6400/69092 Loss: 114.151
-9600/69092 Loss: 112.680
-12800/69092 Loss: 112.075
-16000/69092 Loss: 114.050
-19200/69092 Loss: 112.628
-22400/69092 Loss: 114.042
-25600/69092 Loss: 113.074
-28800/69092 Loss: 113.462
-32000/69092 Loss: 114.582
-35200/69092 Loss: 113.098
-38400/69092 Loss: 112.913
-41600/69092 Loss: 115.821
-44800/69092 Loss: 112.552
-48000/69092 Loss: 114.369
-51200/69092 Loss: 112.121
-54400/69092 Loss: 112.954
-57600/69092 Loss: 112.156
-60800/69092 Loss: 113.913
-64000/69092 Loss: 113.602
-67200/69092 Loss: 113.076
-Training time 0:04:50.194425
-Epoch: 91 Average loss: 113.46
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 93)
-0/69092 Loss: 115.386
-3200/69092 Loss: 112.377
-6400/69092 Loss: 113.867
-9600/69092 Loss: 113.624
-12800/69092 Loss: 114.453
-16000/69092 Loss: 113.860
-19200/69092 Loss: 112.540
-22400/69092 Loss: 113.809
-25600/69092 Loss: 113.196
-28800/69092 Loss: 112.945
-32000/69092 Loss: 113.234
-35200/69092 Loss: 114.203
-38400/69092 Loss: 112.276
-41600/69092 Loss: 111.515
-44800/69092 Loss: 115.496
-48000/69092 Loss: 112.570
-51200/69092 Loss: 111.446
-54400/69092 Loss: 114.333
-57600/69092 Loss: 113.735
-60800/69092 Loss: 115.819
-64000/69092 Loss: 113.408
-67200/69092 Loss: 114.424
-Training time 0:04:51.056869
-Epoch: 92 Average loss: 113.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 94)
-0/69092 Loss: 115.292
-3200/69092 Loss: 112.917
-6400/69092 Loss: 113.135
-9600/69092 Loss: 114.095
-12800/69092 Loss: 112.343
-16000/69092 Loss: 111.457
-19200/69092 Loss: 113.123
-22400/69092 Loss: 113.382
-25600/69092 Loss: 114.794
-28800/69092 Loss: 113.786
-32000/69092 Loss: 111.974
-35200/69092 Loss: 113.622
-38400/69092 Loss: 112.727
-41600/69092 Loss: 113.396
-44800/69092 Loss: 114.468
-48000/69092 Loss: 113.996
-51200/69092 Loss: 112.353
-54400/69092 Loss: 113.359
-57600/69092 Loss: 112.007
-60800/69092 Loss: 113.062
-64000/69092 Loss: 115.791
-67200/69092 Loss: 114.567
-Training time 0:04:50.570403
-Epoch: 93 Average loss: 113.36
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 95)
-0/69092 Loss: 109.136
-3200/69092 Loss: 114.790
-6400/69092 Loss: 113.016
-9600/69092 Loss: 113.913
-12800/69092 Loss: 113.639
-16000/69092 Loss: 114.177
-19200/69092 Loss: 113.522
-22400/69092 Loss: 111.878
-25600/69092 Loss: 113.327
-28800/69092 Loss: 113.775
-32000/69092 Loss: 112.777
-35200/69092 Loss: 113.935
-38400/69092 Loss: 113.537
-41600/69092 Loss: 112.504
-44800/69092 Loss: 112.843
-48000/69092 Loss: 111.545
-51200/69092 Loss: 113.418
-54400/69092 Loss: 114.000
-57600/69092 Loss: 112.889
-60800/69092 Loss: 113.918
-64000/69092 Loss: 112.917
-67200/69092 Loss: 112.881
-Training time 0:04:50.509614
-Epoch: 94 Average loss: 113.26
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 96)
-0/69092 Loss: 120.211
-3200/69092 Loss: 112.835
-6400/69092 Loss: 114.498
-9600/69092 Loss: 110.539
-12800/69092 Loss: 112.930
-16000/69092 Loss: 114.047
-19200/69092 Loss: 114.101
-22400/69092 Loss: 113.367
-25600/69092 Loss: 112.753
-28800/69092 Loss: 114.776
-32000/69092 Loss: 112.135
-35200/69092 Loss: 115.300
-38400/69092 Loss: 112.598
-41600/69092 Loss: 113.166
-44800/69092 Loss: 114.484
-48000/69092 Loss: 112.204
-51200/69092 Loss: 113.411
-54400/69092 Loss: 114.884
-57600/69092 Loss: 113.061
-60800/69092 Loss: 112.235
-64000/69092 Loss: 113.967
-67200/69092 Loss: 113.788
-Training time 0:04:50.899388
-Epoch: 95 Average loss: 113.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 97)
-0/69092 Loss: 111.181
-3200/69092 Loss: 113.883
-6400/69092 Loss: 113.542
-9600/69092 Loss: 114.806
-12800/69092 Loss: 113.439
-16000/69092 Loss: 113.058
-19200/69092 Loss: 113.155
-22400/69092 Loss: 112.833
-25600/69092 Loss: 112.554
-28800/69092 Loss: 114.190
-32000/69092 Loss: 113.610
-35200/69092 Loss: 111.993
-38400/69092 Loss: 113.532
-41600/69092 Loss: 113.269
-44800/69092 Loss: 114.041
-48000/69092 Loss: 111.756
-51200/69092 Loss: 115.580
-54400/69092 Loss: 112.936
-57600/69092 Loss: 114.655
-60800/69092 Loss: 112.729
-64000/69092 Loss: 113.405
-67200/69092 Loss: 113.330
-Training time 0:04:51.675494
-Epoch: 96 Average loss: 113.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 98)
-0/69092 Loss: 129.512
-3200/69092 Loss: 112.647
-6400/69092 Loss: 112.876
-9600/69092 Loss: 112.423
-12800/69092 Loss: 114.425
-16000/69092 Loss: 112.080
-19200/69092 Loss: 113.824
-22400/69092 Loss: 114.857
-25600/69092 Loss: 112.271
-28800/69092 Loss: 112.538
-32000/69092 Loss: 115.135
-35200/69092 Loss: 111.871
-38400/69092 Loss: 113.502
-41600/69092 Loss: 113.204
-44800/69092 Loss: 112.465
-48000/69092 Loss: 111.558
-51200/69092 Loss: 112.963
-54400/69092 Loss: 113.559
-57600/69092 Loss: 114.097
-60800/69092 Loss: 111.680
-64000/69092 Loss: 116.714
-67200/69092 Loss: 114.457
-Training time 0:04:50.365147
-Epoch: 97 Average loss: 113.32
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 99)
-0/69092 Loss: 118.832
-3200/69092 Loss: 114.116
-6400/69092 Loss: 113.636
-9600/69092 Loss: 112.787
-12800/69092 Loss: 111.858
-16000/69092 Loss: 112.529
-19200/69092 Loss: 112.109
-22400/69092 Loss: 112.187
-25600/69092 Loss: 112.936
-28800/69092 Loss: 115.427
-32000/69092 Loss: 112.267
-35200/69092 Loss: 111.076
-38400/69092 Loss: 111.865
-41600/69092 Loss: 113.033
-44800/69092 Loss: 112.791
-48000/69092 Loss: 114.817
-51200/69092 Loss: 113.882
-54400/69092 Loss: 114.492
-57600/69092 Loss: 113.355
-60800/69092 Loss: 114.096
-64000/69092 Loss: 112.991
-67200/69092 Loss: 113.376
-Training time 0:04:49.462065
-Epoch: 98 Average loss: 113.14
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 100)
-0/69092 Loss: 108.530
-3200/69092 Loss: 113.168
-6400/69092 Loss: 113.990
-9600/69092 Loss: 113.376
-12800/69092 Loss: 115.051
-16000/69092 Loss: 111.984
-19200/69092 Loss: 112.483
-22400/69092 Loss: 110.864
-25600/69092 Loss: 113.915
-28800/69092 Loss: 113.825
-32000/69092 Loss: 114.106
-35200/69092 Loss: 113.509
-38400/69092 Loss: 113.246
-41600/69092 Loss: 114.283
-44800/69092 Loss: 111.216
-48000/69092 Loss: 113.894
-51200/69092 Loss: 112.492
-54400/69092 Loss: 114.035
-57600/69092 Loss: 112.132
-60800/69092 Loss: 111.788
-64000/69092 Loss: 114.670
-67200/69092 Loss: 113.927
-Training time 0:04:50.711497
-Epoch: 99 Average loss: 113.24
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 101)
-0/69092 Loss: 104.715
-3200/69092 Loss: 114.996
-6400/69092 Loss: 111.712
-9600/69092 Loss: 114.057
-12800/69092 Loss: 113.130
-16000/69092 Loss: 114.854
-19200/69092 Loss: 112.510
-22400/69092 Loss: 112.570
-25600/69092 Loss: 113.299
-28800/69092 Loss: 112.590
-32000/69092 Loss: 112.673
-35200/69092 Loss: 111.300
-38400/69092 Loss: 111.996
-41600/69092 Loss: 114.006
-44800/69092 Loss: 114.334
-48000/69092 Loss: 111.544
-51200/69092 Loss: 114.231
-54400/69092 Loss: 111.873
-57600/69092 Loss: 114.207
-60800/69092 Loss: 112.306
-64000/69092 Loss: 111.566
-67200/69092 Loss: 113.902
-Training time 0:04:50.773052
-Epoch: 100 Average loss: 113.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 102)
-0/69092 Loss: 103.241
-3200/69092 Loss: 114.012
-6400/69092 Loss: 113.032
-9600/69092 Loss: 111.289
-12800/69092 Loss: 113.076
-16000/69092 Loss: 113.746
-19200/69092 Loss: 113.834
-22400/69092 Loss: 112.645
-25600/69092 Loss: 114.432
-28800/69092 Loss: 112.254
-32000/69092 Loss: 114.221
-35200/69092 Loss: 111.278
-38400/69092 Loss: 113.230
-41600/69092 Loss: 113.947
-44800/69092 Loss: 112.927
-48000/69092 Loss: 113.256
-51200/69092 Loss: 111.359
-54400/69092 Loss: 113.623
-57600/69092 Loss: 112.886
-60800/69092 Loss: 113.248
-64000/69092 Loss: 113.053
-67200/69092 Loss: 112.776
-Training time 0:04:51.880454
-Epoch: 101 Average loss: 113.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 103)
-0/69092 Loss: 104.510
-3200/69092 Loss: 115.825
-6400/69092 Loss: 113.438
-9600/69092 Loss: 113.008
-12800/69092 Loss: 112.949
-16000/69092 Loss: 114.365
-19200/69092 Loss: 112.928
-22400/69092 Loss: 111.763
-25600/69092 Loss: 114.226
-28800/69092 Loss: 112.180
-32000/69092 Loss: 111.872
-35200/69092 Loss: 112.966
-38400/69092 Loss: 113.134
-41600/69092 Loss: 111.910
-44800/69092 Loss: 112.458
-48000/69092 Loss: 113.513
-51200/69092 Loss: 112.349
-54400/69092 Loss: 113.011
-57600/69092 Loss: 113.556
-60800/69092 Loss: 112.649
-64000/69092 Loss: 113.863
-67200/69092 Loss: 113.112
-Training time 0:04:53.868210
-Epoch: 102 Average loss: 113.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 104)
-0/69092 Loss: 112.749
-3200/69092 Loss: 112.414
-6400/69092 Loss: 112.463
-9600/69092 Loss: 112.118
-12800/69092 Loss: 111.886
-16000/69092 Loss: 111.227
-19200/69092 Loss: 112.808
-22400/69092 Loss: 112.538
-25600/69092 Loss: 112.087
-28800/69092 Loss: 113.498
-32000/69092 Loss: 112.696
-35200/69092 Loss: 113.405
-38400/69092 Loss: 113.021
-41600/69092 Loss: 114.543
-44800/69092 Loss: 114.788
-48000/69092 Loss: 114.305
-51200/69092 Loss: 113.947
-54400/69092 Loss: 113.979
-57600/69092 Loss: 113.925
-60800/69092 Loss: 113.345
-64000/69092 Loss: 113.074
-67200/69092 Loss: 111.675
-Training time 0:04:51.015212
-Epoch: 103 Average loss: 113.08
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 105)
-0/69092 Loss: 113.049
-3200/69092 Loss: 112.966
-6400/69092 Loss: 112.076
-9600/69092 Loss: 113.396
-12800/69092 Loss: 113.117
-16000/69092 Loss: 113.435
-19200/69092 Loss: 111.830
-22400/69092 Loss: 110.879
-25600/69092 Loss: 112.320
-28800/69092 Loss: 113.011
-32000/69092 Loss: 112.395
-35200/69092 Loss: 113.857
-38400/69092 Loss: 111.612
-41600/69092 Loss: 113.616
-44800/69092 Loss: 113.028
-48000/69092 Loss: 113.891
-51200/69092 Loss: 115.016
-54400/69092 Loss: 112.686
-57600/69092 Loss: 114.493
-60800/69092 Loss: 112.483
-64000/69092 Loss: 113.863
-67200/69092 Loss: 112.239
-Training time 0:04:50.883705
-Epoch: 104 Average loss: 113.02
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 106)
-0/69092 Loss: 117.649
-3200/69092 Loss: 111.403
-6400/69092 Loss: 114.627
-9600/69092 Loss: 113.497
-12800/69092 Loss: 114.286
-16000/69092 Loss: 111.266
-19200/69092 Loss: 113.161
-22400/69092 Loss: 112.569
-25600/69092 Loss: 111.745
-28800/69092 Loss: 112.846
-32000/69092 Loss: 111.716
-35200/69092 Loss: 112.420
-38400/69092 Loss: 112.767
-41600/69092 Loss: 111.755
-44800/69092 Loss: 114.990
-48000/69092 Loss: 114.644
-51200/69092 Loss: 113.324
-54400/69092 Loss: 112.092
-57600/69092 Loss: 115.715
-60800/69092 Loss: 112.178
-64000/69092 Loss: 112.530
-67200/69092 Loss: 111.036
-Training time 0:04:50.722033
-Epoch: 105 Average loss: 112.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 107)
-0/69092 Loss: 110.335
-3200/69092 Loss: 112.968
-6400/69092 Loss: 112.965
-9600/69092 Loss: 113.754
-12800/69092 Loss: 112.037
-16000/69092 Loss: 113.292
-19200/69092 Loss: 112.486
-22400/69092 Loss: 113.055
-25600/69092 Loss: 112.109
-28800/69092 Loss: 111.938
-32000/69092 Loss: 113.729
-35200/69092 Loss: 114.021
-38400/69092 Loss: 112.244
-41600/69092 Loss: 111.851
-44800/69092 Loss: 113.689
-48000/69092 Loss: 112.606
-51200/69092 Loss: 114.633
-54400/69092 Loss: 115.295
-57600/69092 Loss: 110.716
-60800/69092 Loss: 112.370
-64000/69092 Loss: 113.886
-67200/69092 Loss: 114.530
-Training time 0:04:49.583058
-Epoch: 106 Average loss: 112.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 108)
-0/69092 Loss: 109.728
-3200/69092 Loss: 111.651
-6400/69092 Loss: 113.660
-9600/69092 Loss: 110.784
-12800/69092 Loss: 112.393
-16000/69092 Loss: 112.028
-19200/69092 Loss: 113.139
-22400/69092 Loss: 114.301
-25600/69092 Loss: 112.913
-28800/69092 Loss: 114.420
-32000/69092 Loss: 113.733
-35200/69092 Loss: 111.859
-38400/69092 Loss: 112.927
-41600/69092 Loss: 115.408
-44800/69092 Loss: 111.712
-48000/69092 Loss: 115.124
-51200/69092 Loss: 112.678
-54400/69092 Loss: 111.074
-57600/69092 Loss: 113.910
-60800/69092 Loss: 112.468
-64000/69092 Loss: 112.889
-67200/69092 Loss: 112.525
-Training time 0:04:50.873563
-Epoch: 107 Average loss: 112.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 109)
-0/69092 Loss: 100.595
-3200/69092 Loss: 111.699
-6400/69092 Loss: 112.685
-9600/69092 Loss: 111.818
-12800/69092 Loss: 112.431
-16000/69092 Loss: 114.224
-19200/69092 Loss: 111.799
-22400/69092 Loss: 113.780
-25600/69092 Loss: 112.470
-28800/69092 Loss: 113.491
-32000/69092 Loss: 113.645
-35200/69092 Loss: 112.084
-38400/69092 Loss: 112.113
-41600/69092 Loss: 112.947
-44800/69092 Loss: 113.417
-48000/69092 Loss: 113.985
-51200/69092 Loss: 112.549
-54400/69092 Loss: 112.278
-57600/69092 Loss: 114.006
-60800/69092 Loss: 114.476
-64000/69092 Loss: 112.118
-67200/69092 Loss: 113.907
-Training time 0:04:50.246159
-Epoch: 108 Average loss: 112.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 110)
-0/69092 Loss: 109.749
-3200/69092 Loss: 111.728
-6400/69092 Loss: 114.343
-9600/69092 Loss: 115.068
-12800/69092 Loss: 111.811
-16000/69092 Loss: 112.032
-19200/69092 Loss: 112.554
-22400/69092 Loss: 112.011
-25600/69092 Loss: 113.259
-28800/69092 Loss: 112.044
-32000/69092 Loss: 110.983
-35200/69092 Loss: 113.468
-38400/69092 Loss: 114.091
-41600/69092 Loss: 112.747
-44800/69092 Loss: 112.890
-48000/69092 Loss: 113.464
-51200/69092 Loss: 111.830
-54400/69092 Loss: 113.043
-57600/69092 Loss: 113.324
-60800/69092 Loss: 112.852
-64000/69092 Loss: 114.433
-67200/69092 Loss: 112.236
-Training time 0:04:49.864885
-Epoch: 109 Average loss: 112.90
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 111)
-0/69092 Loss: 108.662
-3200/69092 Loss: 112.250
-6400/69092 Loss: 112.018
-9600/69092 Loss: 113.160
-12800/69092 Loss: 112.030
-16000/69092 Loss: 110.437
-19200/69092 Loss: 112.932
-22400/69092 Loss: 112.913
-25600/69092 Loss: 114.639
-28800/69092 Loss: 111.360
-32000/69092 Loss: 114.006
-35200/69092 Loss: 112.941
-38400/69092 Loss: 112.100
-41600/69092 Loss: 114.785
-44800/69092 Loss: 111.514
-48000/69092 Loss: 113.532
-51200/69092 Loss: 113.963
-54400/69092 Loss: 112.818
-57600/69092 Loss: 114.311
-60800/69092 Loss: 115.810
-64000/69092 Loss: 110.706
-67200/69092 Loss: 113.092
-Training time 0:04:52.403239
-Epoch: 110 Average loss: 112.93
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 112)
-0/69092 Loss: 117.085
-3200/69092 Loss: 112.570
-6400/69092 Loss: 112.889
-9600/69092 Loss: 113.498
-12800/69092 Loss: 113.033
-16000/69092 Loss: 113.505
-19200/69092 Loss: 110.694
-22400/69092 Loss: 112.606
-25600/69092 Loss: 114.135
-28800/69092 Loss: 112.351
-32000/69092 Loss: 113.568
-35200/69092 Loss: 111.569
-38400/69092 Loss: 113.105
-41600/69092 Loss: 113.619
-44800/69092 Loss: 113.033
-48000/69092 Loss: 110.961
-51200/69092 Loss: 113.473
-54400/69092 Loss: 113.197
-57600/69092 Loss: 112.174
-60800/69092 Loss: 114.522
-64000/69092 Loss: 114.344
-67200/69092 Loss: 113.659
-Training time 0:04:51.452453
-Epoch: 111 Average loss: 112.93
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 113)
-0/69092 Loss: 114.975
-3200/69092 Loss: 112.918
-6400/69092 Loss: 112.470
-9600/69092 Loss: 113.404
-12800/69092 Loss: 112.227
-16000/69092 Loss: 113.907
-19200/69092 Loss: 112.203
-22400/69092 Loss: 112.680
-25600/69092 Loss: 110.716
-28800/69092 Loss: 113.804
-32000/69092 Loss: 113.425
-35200/69092 Loss: 113.265
-38400/69092 Loss: 111.771
-41600/69092 Loss: 113.441
-44800/69092 Loss: 113.071
-48000/69092 Loss: 112.056
-51200/69092 Loss: 113.299
-54400/69092 Loss: 112.062
-57600/69092 Loss: 113.936
-60800/69092 Loss: 111.318
-64000/69092 Loss: 112.291
-67200/69092 Loss: 115.086
-Training time 0:04:51.975763
-Epoch: 112 Average loss: 112.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 114)
-0/69092 Loss: 102.922
-3200/69092 Loss: 115.186
-6400/69092 Loss: 111.882
-9600/69092 Loss: 113.402
-12800/69092 Loss: 112.680
-16000/69092 Loss: 113.579
-19200/69092 Loss: 111.947
-22400/69092 Loss: 111.836
-25600/69092 Loss: 113.005
-28800/69092 Loss: 112.644
-32000/69092 Loss: 112.913
-35200/69092 Loss: 110.705
-38400/69092 Loss: 112.131
-41600/69092 Loss: 113.813
-44800/69092 Loss: 115.153
-48000/69092 Loss: 112.444
-51200/69092 Loss: 112.657
-54400/69092 Loss: 111.252
-57600/69092 Loss: 114.383
-60800/69092 Loss: 114.278
-64000/69092 Loss: 111.896
-67200/69092 Loss: 113.764
-Training time 0:04:50.679658
-Epoch: 113 Average loss: 112.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 115)
-0/69092 Loss: 112.672
-3200/69092 Loss: 112.993
-6400/69092 Loss: 112.206
-9600/69092 Loss: 113.897
-12800/69092 Loss: 113.445
-16000/69092 Loss: 112.395
-19200/69092 Loss: 113.587
-22400/69092 Loss: 114.301
-25600/69092 Loss: 112.975
-28800/69092 Loss: 113.426
-32000/69092 Loss: 112.050
-35200/69092 Loss: 113.016
-38400/69092 Loss: 114.072
-41600/69092 Loss: 110.919
-44800/69092 Loss: 113.175
-48000/69092 Loss: 111.370
-51200/69092 Loss: 113.587
-54400/69092 Loss: 112.240
-57600/69092 Loss: 111.858
-60800/69092 Loss: 112.010
-64000/69092 Loss: 112.690
-67200/69092 Loss: 112.855
-Training time 0:04:50.348314
-Epoch: 114 Average loss: 112.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_15/checkpoints/last' (iter 116)
-0/69092 Loss: 104.999
-3200/69092 Loss: 113.136
-6400/69092 Loss: 112.056
-9600/69092 Loss: 112.611
-12800/69092 Loss: 111.995
-16000/69092 Loss: 112.782
diff --git a/OAR.2068293.stderr b/OAR.2068293.stderr
deleted file mode 100644
index a9c628a29c..0000000000
--- a/OAR.2068293.stderr
+++ /dev/null
@@ -1,2 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
diff --git a/OAR.2068293.stdout b/OAR.2068293.stdout
deleted file mode 100644
index b7f0ce4388..0000000000
--- a/OAR.2068293.stdout
+++ /dev/null
@@ -1,2050 +0,0 @@
-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_20', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=20, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_20
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=40, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=20, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 773035
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last (iter 5)'
-0/69092 Loss: 123.071
-3200/69092 Loss: 129.671
-6400/69092 Loss: 127.398
-9600/69092 Loss: 127.951
-12800/69092 Loss: 128.455
-16000/69092 Loss: 129.429
-19200/69092 Loss: 126.305
-22400/69092 Loss: 128.984
-25600/69092 Loss: 130.783
-28800/69092 Loss: 129.975
-32000/69092 Loss: 128.062
-35200/69092 Loss: 127.186
-38400/69092 Loss: 128.455
-41600/69092 Loss: 128.958
-44800/69092 Loss: 129.323
-48000/69092 Loss: 126.212
-51200/69092 Loss: 128.191
-54400/69092 Loss: 127.190
-57600/69092 Loss: 126.934
-60800/69092 Loss: 127.484
-64000/69092 Loss: 128.661
-67200/69092 Loss: 124.744
-Training time 0:04:50.464730
-Epoch: 1 Average loss: 128.18
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 6)
-0/69092 Loss: 129.943
-3200/69092 Loss: 129.051
-6400/69092 Loss: 125.219
-9600/69092 Loss: 123.455
-12800/69092 Loss: 127.291
-16000/69092 Loss: 127.190
-19200/69092 Loss: 126.336
-22400/69092 Loss: 127.079
-25600/69092 Loss: 126.929
-28800/69092 Loss: 126.119
-32000/69092 Loss: 126.972
-35200/69092 Loss: 124.950
-38400/69092 Loss: 125.826
-41600/69092 Loss: 126.043
-44800/69092 Loss: 123.989
-48000/69092 Loss: 124.989
-51200/69092 Loss: 125.214
-54400/69092 Loss: 124.362
-57600/69092 Loss: 125.383
-60800/69092 Loss: 125.831
-64000/69092 Loss: 123.904
-67200/69092 Loss: 127.904
-Training time 0:04:51.734344
-Epoch: 2 Average loss: 125.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 7)
-0/69092 Loss: 151.090
-3200/69092 Loss: 123.873
-6400/69092 Loss: 124.226
-9600/69092 Loss: 126.185
-12800/69092 Loss: 125.767
-16000/69092 Loss: 124.022
-19200/69092 Loss: 126.055
-22400/69092 Loss: 124.320
-25600/69092 Loss: 124.870
-28800/69092 Loss: 127.822
-32000/69092 Loss: 124.268
-35200/69092 Loss: 125.595
-38400/69092 Loss: 123.975
-41600/69092 Loss: 122.331
-44800/69092 Loss: 121.933
-48000/69092 Loss: 123.773
-51200/69092 Loss: 124.910
-54400/69092 Loss: 123.662
-57600/69092 Loss: 122.927
-60800/69092 Loss: 123.387
-64000/69092 Loss: 123.426
-67200/69092 Loss: 125.656
-Training time 0:04:45.516245
-Epoch: 3 Average loss: 124.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 8)
-0/69092 Loss: 116.913
-3200/69092 Loss: 121.551
-6400/69092 Loss: 123.757
-9600/69092 Loss: 120.772
-12800/69092 Loss: 124.840
-16000/69092 Loss: 122.135
-19200/69092 Loss: 124.674
-22400/69092 Loss: 124.362
-25600/69092 Loss: 124.429
-28800/69092 Loss: 121.847
-32000/69092 Loss: 122.697
-35200/69092 Loss: 121.337
-38400/69092 Loss: 123.855
-41600/69092 Loss: 123.472
-44800/69092 Loss: 123.395
-48000/69092 Loss: 123.456
-51200/69092 Loss: 122.075
-54400/69092 Loss: 123.076
-57600/69092 Loss: 124.115
-60800/69092 Loss: 123.259
-64000/69092 Loss: 123.464
-67200/69092 Loss: 121.002
-Training time 0:04:52.057476
-Epoch: 4 Average loss: 123.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 9)
-0/69092 Loss: 99.405
-3200/69092 Loss: 122.589
-6400/69092 Loss: 123.487
-9600/69092 Loss: 119.019
-12800/69092 Loss: 121.564
-16000/69092 Loss: 123.554
-19200/69092 Loss: 121.925
-22400/69092 Loss: 120.459
-25600/69092 Loss: 121.809
-28800/69092 Loss: 121.263
-32000/69092 Loss: 122.560
-35200/69092 Loss: 120.117
-38400/69092 Loss: 121.506
-41600/69092 Loss: 123.250
-44800/69092 Loss: 121.267
-48000/69092 Loss: 122.438
-51200/69092 Loss: 121.474
-54400/69092 Loss: 123.530
-57600/69092 Loss: 122.750
-60800/69092 Loss: 122.617
-64000/69092 Loss: 123.213
-67200/69092 Loss: 121.717
-Training time 0:04:47.144073
-Epoch: 5 Average loss: 121.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 10)
-0/69092 Loss: 116.159
-3200/69092 Loss: 122.455
-6400/69092 Loss: 120.286
-9600/69092 Loss: 119.735
-12800/69092 Loss: 122.867
-16000/69092 Loss: 120.996
-19200/69092 Loss: 121.540
-22400/69092 Loss: 122.140
-25600/69092 Loss: 120.710
-28800/69092 Loss: 121.041
-32000/69092 Loss: 122.114
-35200/69092 Loss: 119.510
-38400/69092 Loss: 120.339
-41600/69092 Loss: 121.481
-44800/69092 Loss: 120.913
-48000/69092 Loss: 120.790
-51200/69092 Loss: 121.752
-54400/69092 Loss: 120.170
-57600/69092 Loss: 120.647
-60800/69092 Loss: 120.284
-64000/69092 Loss: 121.987
-67200/69092 Loss: 121.628
-Training time 0:04:53.401766
-Epoch: 6 Average loss: 121.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 11)
-0/69092 Loss: 129.555
-3200/69092 Loss: 119.839
-6400/69092 Loss: 118.692
-9600/69092 Loss: 121.241
-12800/69092 Loss: 118.470
-16000/69092 Loss: 121.128
-19200/69092 Loss: 120.905
-22400/69092 Loss: 120.691
-25600/69092 Loss: 119.656
-28800/69092 Loss: 119.566
-32000/69092 Loss: 120.417
-35200/69092 Loss: 119.614
-38400/69092 Loss: 119.080
-41600/69092 Loss: 119.992
-44800/69092 Loss: 122.269
-48000/69092 Loss: 120.826
-51200/69092 Loss: 120.305
-54400/69092 Loss: 119.281
-57600/69092 Loss: 120.017
-60800/69092 Loss: 122.424
-64000/69092 Loss: 120.654
-67200/69092 Loss: 121.758
-Training time 0:04:53.550179
-Epoch: 7 Average loss: 120.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 12)
-0/69092 Loss: 110.400
-3200/69092 Loss: 120.276
-6400/69092 Loss: 121.587
-9600/69092 Loss: 119.223
-12800/69092 Loss: 120.454
-16000/69092 Loss: 120.013
-19200/69092 Loss: 117.803
-22400/69092 Loss: 121.672
-25600/69092 Loss: 118.489
-28800/69092 Loss: 120.078
-32000/69092 Loss: 119.809
-35200/69092 Loss: 119.278
-38400/69092 Loss: 117.270
-41600/69092 Loss: 120.507
-44800/69092 Loss: 118.501
-48000/69092 Loss: 119.447
-51200/69092 Loss: 120.600
-54400/69092 Loss: 120.683
-57600/69092 Loss: 118.504
-60800/69092 Loss: 118.999
-64000/69092 Loss: 118.737
-67200/69092 Loss: 121.232
-Training time 0:04:49.394686
-Epoch: 8 Average loss: 119.67
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 13)
-0/69092 Loss: 104.134
-3200/69092 Loss: 120.123
-6400/69092 Loss: 117.816
-9600/69092 Loss: 117.857
-12800/69092 Loss: 118.330
-16000/69092 Loss: 117.953
-19200/69092 Loss: 118.829
-22400/69092 Loss: 120.242
-25600/69092 Loss: 119.360
-28800/69092 Loss: 118.183
-32000/69092 Loss: 118.660
-35200/69092 Loss: 116.001
-38400/69092 Loss: 118.471
-41600/69092 Loss: 119.110
-44800/69092 Loss: 120.752
-48000/69092 Loss: 118.350
-51200/69092 Loss: 118.216
-54400/69092 Loss: 119.695
-57600/69092 Loss: 119.219
-60800/69092 Loss: 118.008
-64000/69092 Loss: 117.196
-67200/69092 Loss: 117.916
-Training time 0:04:53.527974
-Epoch: 9 Average loss: 118.63
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 14)
-0/69092 Loss: 134.504
-3200/69092 Loss: 118.385
-6400/69092 Loss: 117.437
-9600/69092 Loss: 120.115
-12800/69092 Loss: 116.593
-16000/69092 Loss: 116.214
-19200/69092 Loss: 116.874
-22400/69092 Loss: 118.624
-25600/69092 Loss: 118.921
-28800/69092 Loss: 117.498
-32000/69092 Loss: 117.532
-35200/69092 Loss: 118.473
-38400/69092 Loss: 117.333
-41600/69092 Loss: 117.636
-44800/69092 Loss: 118.679
-48000/69092 Loss: 118.222
-51200/69092 Loss: 116.884
-54400/69092 Loss: 116.768
-57600/69092 Loss: 118.938
-60800/69092 Loss: 118.071
-64000/69092 Loss: 119.501
-67200/69092 Loss: 117.280
-Training time 0:04:54.806029
-Epoch: 10 Average loss: 117.98
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 15)
-0/69092 Loss: 109.254
-3200/69092 Loss: 119.447
-6400/69092 Loss: 117.376
-9600/69092 Loss: 115.992
-12800/69092 Loss: 117.909
-16000/69092 Loss: 116.937
-19200/69092 Loss: 116.312
-22400/69092 Loss: 117.740
-25600/69092 Loss: 119.293
-28800/69092 Loss: 116.433
-32000/69092 Loss: 118.364
-35200/69092 Loss: 117.022
-38400/69092 Loss: 117.941
-41600/69092 Loss: 116.341
-44800/69092 Loss: 118.821
-48000/69092 Loss: 117.934
-51200/69092 Loss: 118.055
-54400/69092 Loss: 116.848
-57600/69092 Loss: 114.801
-60800/69092 Loss: 117.061
-64000/69092 Loss: 116.393
-67200/69092 Loss: 117.030
-Training time 0:04:53.313837
-Epoch: 11 Average loss: 117.39
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 16)
-0/69092 Loss: 124.562
-3200/69092 Loss: 117.708
-6400/69092 Loss: 116.378
-9600/69092 Loss: 115.341
-12800/69092 Loss: 118.288
-16000/69092 Loss: 116.312
-19200/69092 Loss: 115.873
-22400/69092 Loss: 116.824
-25600/69092 Loss: 114.939
-28800/69092 Loss: 117.201
-32000/69092 Loss: 117.600
-35200/69092 Loss: 114.187
-38400/69092 Loss: 117.203
-41600/69092 Loss: 116.734
-44800/69092 Loss: 117.038
-48000/69092 Loss: 116.328
-51200/69092 Loss: 117.843
-54400/69092 Loss: 117.899
-57600/69092 Loss: 117.246
-60800/69092 Loss: 117.224
-64000/69092 Loss: 117.388
-67200/69092 Loss: 117.255
-Training time 0:04:48.196398
-Epoch: 12 Average loss: 116.80
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 17)
-0/69092 Loss: 103.586
-3200/69092 Loss: 116.581
-6400/69092 Loss: 116.557
-9600/69092 Loss: 117.937
-12800/69092 Loss: 117.568
-16000/69092 Loss: 117.730
-19200/69092 Loss: 116.240
-22400/69092 Loss: 116.533
-25600/69092 Loss: 114.281
-28800/69092 Loss: 115.136
-32000/69092 Loss: 115.581
-35200/69092 Loss: 117.259
-38400/69092 Loss: 115.315
-41600/69092 Loss: 115.175
-44800/69092 Loss: 115.283
-48000/69092 Loss: 116.809
-51200/69092 Loss: 115.756
-54400/69092 Loss: 117.455
-57600/69092 Loss: 116.416
-60800/69092 Loss: 118.661
-64000/69092 Loss: 115.042
-67200/69092 Loss: 117.673
-Training time 0:04:49.374363
-Epoch: 13 Average loss: 116.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 18)
-0/69092 Loss: 114.152
-3200/69092 Loss: 115.526
-6400/69092 Loss: 116.044
-9600/69092 Loss: 114.991
-12800/69092 Loss: 116.347
-16000/69092 Loss: 115.274
-19200/69092 Loss: 115.281
-22400/69092 Loss: 116.965
-25600/69092 Loss: 116.550
-28800/69092 Loss: 115.085
-32000/69092 Loss: 115.061
-35200/69092 Loss: 115.124
-38400/69092 Loss: 115.807
-41600/69092 Loss: 115.448
-44800/69092 Loss: 116.142
-48000/69092 Loss: 116.700
-51200/69092 Loss: 116.097
-54400/69092 Loss: 116.449
-57600/69092 Loss: 117.906
-60800/69092 Loss: 114.443
-64000/69092 Loss: 117.303
-67200/69092 Loss: 116.183
-Training time 0:04:47.466840
-Epoch: 14 Average loss: 115.87
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 19)
-0/69092 Loss: 115.756
-3200/69092 Loss: 113.816
-6400/69092 Loss: 116.148
-9600/69092 Loss: 116.477
-12800/69092 Loss: 116.312
-16000/69092 Loss: 116.970
-19200/69092 Loss: 115.761
-22400/69092 Loss: 116.004
-25600/69092 Loss: 114.904
-28800/69092 Loss: 114.584
-32000/69092 Loss: 116.777
-35200/69092 Loss: 116.189
-38400/69092 Loss: 113.972
-41600/69092 Loss: 117.633
-44800/69092 Loss: 116.672
-48000/69092 Loss: 114.872
-51200/69092 Loss: 115.771
-54400/69092 Loss: 115.499
-57600/69092 Loss: 114.661
-60800/69092 Loss: 115.201
-64000/69092 Loss: 114.100
-67200/69092 Loss: 113.874
-Training time 0:04:51.327746
-Epoch: 15 Average loss: 115.49
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 20)
-0/69092 Loss: 115.941
-3200/69092 Loss: 115.412
-6400/69092 Loss: 116.467
-9600/69092 Loss: 115.764
-12800/69092 Loss: 116.308
-16000/69092 Loss: 114.297
-19200/69092 Loss: 114.467
-22400/69092 Loss: 114.919
-25600/69092 Loss: 114.402
-28800/69092 Loss: 114.454
-32000/69092 Loss: 115.140
-35200/69092 Loss: 114.877
-38400/69092 Loss: 115.791
-41600/69092 Loss: 116.370
-44800/69092 Loss: 114.254
-48000/69092 Loss: 115.377
-51200/69092 Loss: 115.315
-54400/69092 Loss: 114.060
-57600/69092 Loss: 114.105
-60800/69092 Loss: 115.245
-64000/69092 Loss: 114.178
-67200/69092 Loss: 114.546
-Training time 0:04:41.171591
-Epoch: 16 Average loss: 115.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 21)
-0/69092 Loss: 141.782
-3200/69092 Loss: 114.003
-6400/69092 Loss: 115.411
-9600/69092 Loss: 115.911
-12800/69092 Loss: 114.007
-16000/69092 Loss: 114.354
-19200/69092 Loss: 116.028
-22400/69092 Loss: 113.100
-25600/69092 Loss: 115.666
-28800/69092 Loss: 113.996
-32000/69092 Loss: 116.153
-35200/69092 Loss: 115.098
-38400/69092 Loss: 112.231
-41600/69092 Loss: 115.095
-44800/69092 Loss: 113.056
-48000/69092 Loss: 113.455
-51200/69092 Loss: 113.613
-54400/69092 Loss: 115.574
-57600/69092 Loss: 114.387
-60800/69092 Loss: 113.743
-64000/69092 Loss: 115.058
-67200/69092 Loss: 114.973
-Training time 0:04:36.060267
-Epoch: 17 Average loss: 114.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 22)
-0/69092 Loss: 107.420
-3200/69092 Loss: 113.793
-6400/69092 Loss: 115.466
-9600/69092 Loss: 113.951
-12800/69092 Loss: 115.332
-16000/69092 Loss: 115.308
-19200/69092 Loss: 114.394
-22400/69092 Loss: 113.850
-25600/69092 Loss: 116.228
-28800/69092 Loss: 114.637
-32000/69092 Loss: 113.228
-35200/69092 Loss: 113.624
-38400/69092 Loss: 114.285
-41600/69092 Loss: 112.589
-44800/69092 Loss: 114.494
-48000/69092 Loss: 112.654
-51200/69092 Loss: 115.949
-54400/69092 Loss: 114.853
-57600/69092 Loss: 112.992
-60800/69092 Loss: 114.541
-64000/69092 Loss: 114.248
-67200/69092 Loss: 113.553
-Training time 0:04:37.523009
-Epoch: 18 Average loss: 114.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 23)
-0/69092 Loss: 115.435
-3200/69092 Loss: 112.490
-6400/69092 Loss: 114.217
-9600/69092 Loss: 112.386
-12800/69092 Loss: 113.442
-16000/69092 Loss: 114.289
-19200/69092 Loss: 115.442
-22400/69092 Loss: 112.385
-25600/69092 Loss: 114.455
-28800/69092 Loss: 115.032
-32000/69092 Loss: 115.131
-35200/69092 Loss: 113.942
-38400/69092 Loss: 114.186
-41600/69092 Loss: 114.002
-44800/69092 Loss: 113.893
-48000/69092 Loss: 113.659
-51200/69092 Loss: 114.449
-54400/69092 Loss: 114.045
-57600/69092 Loss: 114.498
-60800/69092 Loss: 113.359
-64000/69092 Loss: 114.983
-67200/69092 Loss: 112.828
-Training time 0:04:33.872554
-Epoch: 19 Average loss: 113.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 24)
-0/69092 Loss: 111.737
-3200/69092 Loss: 114.558
-6400/69092 Loss: 115.141
-9600/69092 Loss: 115.882
-12800/69092 Loss: 112.989
-16000/69092 Loss: 113.441
-19200/69092 Loss: 114.143
-22400/69092 Loss: 113.532
-25600/69092 Loss: 114.813
-28800/69092 Loss: 112.059
-32000/69092 Loss: 113.061
-35200/69092 Loss: 112.920
-38400/69092 Loss: 113.187
-41600/69092 Loss: 112.812
-44800/69092 Loss: 114.557
-48000/69092 Loss: 112.577
-51200/69092 Loss: 113.078
-54400/69092 Loss: 114.110
-57600/69092 Loss: 113.877
-60800/69092 Loss: 112.964
-64000/69092 Loss: 113.965
-67200/69092 Loss: 113.553
-Training time 0:04:39.906828
-Epoch: 20 Average loss: 113.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 25)
-0/69092 Loss: 123.589
-3200/69092 Loss: 113.380
-6400/69092 Loss: 114.676
-9600/69092 Loss: 114.405
-12800/69092 Loss: 113.494
-16000/69092 Loss: 114.177
-19200/69092 Loss: 113.390
-22400/69092 Loss: 111.949
-25600/69092 Loss: 114.273
-28800/69092 Loss: 113.334
-32000/69092 Loss: 112.502
-35200/69092 Loss: 114.189
-38400/69092 Loss: 114.932
-41600/69092 Loss: 115.119
-44800/69092 Loss: 111.780
-48000/69092 Loss: 111.857
-51200/69092 Loss: 111.502
-54400/69092 Loss: 113.287
-57600/69092 Loss: 112.345
-60800/69092 Loss: 113.466
-64000/69092 Loss: 113.066
-67200/69092 Loss: 113.099
-Training time 0:04:39.348429
-Epoch: 21 Average loss: 113.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 26)
-0/69092 Loss: 110.674
-3200/69092 Loss: 112.143
-6400/69092 Loss: 112.617
-9600/69092 Loss: 114.939
-12800/69092 Loss: 113.844
-16000/69092 Loss: 113.021
-19200/69092 Loss: 114.569
-22400/69092 Loss: 112.865
-25600/69092 Loss: 112.809
-28800/69092 Loss: 114.086
-32000/69092 Loss: 112.677
-35200/69092 Loss: 114.229
-38400/69092 Loss: 112.291
-41600/69092 Loss: 111.985
-44800/69092 Loss: 112.205
-48000/69092 Loss: 112.236
-51200/69092 Loss: 113.672
-54400/69092 Loss: 113.601
-57600/69092 Loss: 112.585
-60800/69092 Loss: 111.314
-64000/69092 Loss: 113.152
-67200/69092 Loss: 112.903
-Training time 0:04:34.061168
-Epoch: 22 Average loss: 113.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 27)
-0/69092 Loss: 109.967
-3200/69092 Loss: 112.520
-6400/69092 Loss: 114.405
-9600/69092 Loss: 113.686
-12800/69092 Loss: 112.579
-16000/69092 Loss: 113.520
-19200/69092 Loss: 113.800
-22400/69092 Loss: 111.771
-25600/69092 Loss: 111.360
-28800/69092 Loss: 113.635
-32000/69092 Loss: 113.484
-35200/69092 Loss: 111.351
-38400/69092 Loss: 114.812
-41600/69092 Loss: 112.548
-44800/69092 Loss: 113.236
-48000/69092 Loss: 112.303
-51200/69092 Loss: 114.013
-54400/69092 Loss: 112.735
-57600/69092 Loss: 111.526
-60800/69092 Loss: 112.256
-64000/69092 Loss: 111.369
-67200/69092 Loss: 113.282
-Training time 0:04:39.859457
-Epoch: 23 Average loss: 112.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 28)
-0/69092 Loss: 119.190
-3200/69092 Loss: 111.744
-6400/69092 Loss: 111.066
-9600/69092 Loss: 111.289
-12800/69092 Loss: 111.358
-16000/69092 Loss: 111.865
-19200/69092 Loss: 114.916
-22400/69092 Loss: 113.265
-25600/69092 Loss: 111.379
-28800/69092 Loss: 112.894
-32000/69092 Loss: 113.767
-35200/69092 Loss: 112.440
-38400/69092 Loss: 112.766
-41600/69092 Loss: 112.426
-44800/69092 Loss: 113.225
-48000/69092 Loss: 112.531
-51200/69092 Loss: 114.364
-54400/69092 Loss: 111.020
-57600/69092 Loss: 111.747
-60800/69092 Loss: 114.497
-64000/69092 Loss: 113.869
-67200/69092 Loss: 111.078
-Training time 0:04:39.936371
-Epoch: 24 Average loss: 112.52
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 29)
-0/69092 Loss: 110.290
-3200/69092 Loss: 111.822
-6400/69092 Loss: 111.413
-9600/69092 Loss: 112.422
-12800/69092 Loss: 111.954
-16000/69092 Loss: 113.762
-19200/69092 Loss: 114.692
-22400/69092 Loss: 110.497
-25600/69092 Loss: 114.033
-28800/69092 Loss: 111.619
-32000/69092 Loss: 115.025
-35200/69092 Loss: 112.577
-38400/69092 Loss: 113.097
-41600/69092 Loss: 113.049
-44800/69092 Loss: 113.574
-48000/69092 Loss: 112.155
-51200/69092 Loss: 110.795
-54400/69092 Loss: 113.053
-57600/69092 Loss: 112.099
-60800/69092 Loss: 110.614
-64000/69092 Loss: 111.320
-67200/69092 Loss: 112.674
-Training time 0:04:45.041794
-Epoch: 25 Average loss: 112.47
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 30)
-0/69092 Loss: 110.546
-3200/69092 Loss: 112.299
-6400/69092 Loss: 112.430
-9600/69092 Loss: 110.809
-12800/69092 Loss: 113.117
-16000/69092 Loss: 111.603
-19200/69092 Loss: 111.411
-22400/69092 Loss: 111.766
-25600/69092 Loss: 111.472
-28800/69092 Loss: 112.941
-32000/69092 Loss: 113.351
-35200/69092 Loss: 113.431
-38400/69092 Loss: 111.543
-41600/69092 Loss: 114.145
-44800/69092 Loss: 111.926
-48000/69092 Loss: 112.800
-51200/69092 Loss: 112.201
-54400/69092 Loss: 112.540
-57600/69092 Loss: 111.984
-60800/69092 Loss: 111.264
-64000/69092 Loss: 110.867
-67200/69092 Loss: 111.477
-Training time 0:04:43.517833
-Epoch: 26 Average loss: 112.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 31)
-0/69092 Loss: 116.476
-3200/69092 Loss: 111.689
-6400/69092 Loss: 111.937
-9600/69092 Loss: 112.337
-12800/69092 Loss: 112.217
-16000/69092 Loss: 114.211
-19200/69092 Loss: 111.085
-22400/69092 Loss: 110.283
-25600/69092 Loss: 111.542
-28800/69092 Loss: 112.261
-32000/69092 Loss: 111.289
-35200/69092 Loss: 111.992
-38400/69092 Loss: 110.785
-41600/69092 Loss: 112.940
-44800/69092 Loss: 112.285
-48000/69092 Loss: 114.579
-51200/69092 Loss: 110.708
-54400/69092 Loss: 112.470
-57600/69092 Loss: 113.620
-60800/69092 Loss: 110.872
-64000/69092 Loss: 111.970
-67200/69092 Loss: 112.708
-Training time 0:04:43.768186
-Epoch: 27 Average loss: 112.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 32)
-0/69092 Loss: 109.204
-3200/69092 Loss: 112.435
-6400/69092 Loss: 114.026
-9600/69092 Loss: 111.097
-12800/69092 Loss: 110.929
-16000/69092 Loss: 111.349
-19200/69092 Loss: 110.908
-22400/69092 Loss: 110.745
-25600/69092 Loss: 114.152
-28800/69092 Loss: 110.816
-32000/69092 Loss: 111.625
-35200/69092 Loss: 111.684
-38400/69092 Loss: 110.873
-41600/69092 Loss: 112.146
-44800/69092 Loss: 111.570
-48000/69092 Loss: 111.101
-51200/69092 Loss: 110.831
-54400/69092 Loss: 112.227
-57600/69092 Loss: 111.256
-60800/69092 Loss: 109.046
-64000/69092 Loss: 111.628
-67200/69092 Loss: 112.160
-Training time 0:04:41.229393
-Epoch: 28 Average loss: 111.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 33)
-0/69092 Loss: 104.209
-3200/69092 Loss: 112.197
-6400/69092 Loss: 110.449
-9600/69092 Loss: 110.083
-12800/69092 Loss: 109.298
-16000/69092 Loss: 112.898
-19200/69092 Loss: 112.408
-22400/69092 Loss: 112.143
-25600/69092 Loss: 111.547
-28800/69092 Loss: 110.064
-32000/69092 Loss: 110.612
-35200/69092 Loss: 111.170
-38400/69092 Loss: 112.284
-41600/69092 Loss: 111.592
-44800/69092 Loss: 110.504
-48000/69092 Loss: 112.900
-51200/69092 Loss: 111.123
-54400/69092 Loss: 113.507
-57600/69092 Loss: 111.303
-60800/69092 Loss: 113.287
-64000/69092 Loss: 110.679
-67200/69092 Loss: 115.029
-Training time 0:04:43.681844
-Epoch: 29 Average loss: 111.67
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 34)
-0/69092 Loss: 121.056
-3200/69092 Loss: 111.290
-6400/69092 Loss: 110.832
-9600/69092 Loss: 112.305
-12800/69092 Loss: 112.942
-16000/69092 Loss: 112.884
-19200/69092 Loss: 112.636
-22400/69092 Loss: 112.394
-25600/69092 Loss: 112.482
-28800/69092 Loss: 110.956
-32000/69092 Loss: 109.826
-35200/69092 Loss: 112.321
-38400/69092 Loss: 111.822
-41600/69092 Loss: 110.904
-44800/69092 Loss: 110.287
-48000/69092 Loss: 111.784
-51200/69092 Loss: 109.850
-54400/69092 Loss: 110.845
-57600/69092 Loss: 110.811
-60800/69092 Loss: 111.698
-64000/69092 Loss: 109.814
-67200/69092 Loss: 111.012
-Training time 0:04:43.069539
-Epoch: 30 Average loss: 111.35
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 35)
-0/69092 Loss: 108.077
-3200/69092 Loss: 111.317
-6400/69092 Loss: 110.567
-9600/69092 Loss: 110.230
-12800/69092 Loss: 111.407
-16000/69092 Loss: 111.366
-19200/69092 Loss: 111.396
-22400/69092 Loss: 111.792
-25600/69092 Loss: 112.813
-28800/69092 Loss: 113.976
-32000/69092 Loss: 109.683
-35200/69092 Loss: 109.564
-38400/69092 Loss: 109.532
-41600/69092 Loss: 111.487
-44800/69092 Loss: 110.475
-48000/69092 Loss: 110.605
-51200/69092 Loss: 110.499
-54400/69092 Loss: 111.540
-57600/69092 Loss: 112.921
-60800/69092 Loss: 110.256
-64000/69092 Loss: 111.300
-67200/69092 Loss: 111.619
-Training time 0:04:49.022954
-Epoch: 31 Average loss: 111.21
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 36)
-0/69092 Loss: 127.145
-3200/69092 Loss: 110.557
-6400/69092 Loss: 110.201
-9600/69092 Loss: 111.831
-12800/69092 Loss: 110.124
-16000/69092 Loss: 110.563
-19200/69092 Loss: 111.827
-22400/69092 Loss: 112.174
-25600/69092 Loss: 111.700
-28800/69092 Loss: 111.491
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-35200/69092 Loss: 111.848
-38400/69092 Loss: 111.125
-41600/69092 Loss: 110.740
-44800/69092 Loss: 111.447
-48000/69092 Loss: 110.298
-51200/69092 Loss: 111.226
-54400/69092 Loss: 110.337
-57600/69092 Loss: 113.737
-60800/69092 Loss: 110.593
-64000/69092 Loss: 111.048
-67200/69092 Loss: 109.999
-Training time 0:04:34.240853
-Epoch: 32 Average loss: 111.13
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 37)
-0/69092 Loss: 107.446
-3200/69092 Loss: 111.796
-6400/69092 Loss: 110.517
-9600/69092 Loss: 109.203
-12800/69092 Loss: 112.325
-16000/69092 Loss: 111.188
-19200/69092 Loss: 109.881
-22400/69092 Loss: 111.257
-25600/69092 Loss: 111.082
-28800/69092 Loss: 109.237
-32000/69092 Loss: 111.067
-35200/69092 Loss: 111.960
-38400/69092 Loss: 110.869
-41600/69092 Loss: 110.585
-44800/69092 Loss: 111.741
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-51200/69092 Loss: 111.195
-54400/69092 Loss: 111.672
-57600/69092 Loss: 112.134
-60800/69092 Loss: 111.049
-64000/69092 Loss: 110.333
-67200/69092 Loss: 111.257
-Training time 0:04:43.764296
-Epoch: 33 Average loss: 110.95
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 38)
-0/69092 Loss: 115.077
-3200/69092 Loss: 111.501
-6400/69092 Loss: 110.084
-9600/69092 Loss: 108.942
-12800/69092 Loss: 109.901
-16000/69092 Loss: 111.592
-19200/69092 Loss: 110.374
-22400/69092 Loss: 111.268
-25600/69092 Loss: 111.209
-28800/69092 Loss: 108.915
-32000/69092 Loss: 110.874
-35200/69092 Loss: 110.405
-38400/69092 Loss: 110.662
-41600/69092 Loss: 111.986
-44800/69092 Loss: 111.237
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-51200/69092 Loss: 110.622
-54400/69092 Loss: 111.210
-57600/69092 Loss: 111.007
-60800/69092 Loss: 110.189
-64000/69092 Loss: 110.597
-67200/69092 Loss: 110.604
-Training time 0:04:34.058617
-Epoch: 34 Average loss: 110.71
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 39)
-0/69092 Loss: 114.591
-3200/69092 Loss: 111.557
-6400/69092 Loss: 112.004
-9600/69092 Loss: 110.475
-12800/69092 Loss: 110.930
-16000/69092 Loss: 110.553
-19200/69092 Loss: 111.408
-22400/69092 Loss: 110.119
-25600/69092 Loss: 109.701
-28800/69092 Loss: 110.129
-32000/69092 Loss: 110.820
-35200/69092 Loss: 111.306
-38400/69092 Loss: 112.009
-41600/69092 Loss: 110.124
-44800/69092 Loss: 110.473
-48000/69092 Loss: 110.975
-51200/69092 Loss: 109.217
-54400/69092 Loss: 109.901
-57600/69092 Loss: 109.916
-60800/69092 Loss: 110.830
-64000/69092 Loss: 109.267
-67200/69092 Loss: 109.708
-Training time 0:04:41.568257
-Epoch: 35 Average loss: 110.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 40)
-0/69092 Loss: 107.984
-3200/69092 Loss: 111.464
-6400/69092 Loss: 110.381
-9600/69092 Loss: 108.964
-12800/69092 Loss: 109.341
-16000/69092 Loss: 110.254
-19200/69092 Loss: 111.665
-22400/69092 Loss: 110.508
-25600/69092 Loss: 109.982
-28800/69092 Loss: 110.859
-32000/69092 Loss: 110.971
-35200/69092 Loss: 109.513
-38400/69092 Loss: 110.977
-41600/69092 Loss: 110.812
-44800/69092 Loss: 109.692
-48000/69092 Loss: 109.992
-51200/69092 Loss: 110.592
-54400/69092 Loss: 111.265
-57600/69092 Loss: 110.588
-60800/69092 Loss: 110.761
-64000/69092 Loss: 108.940
-67200/69092 Loss: 110.958
-Training time 0:04:40.277525
-Epoch: 36 Average loss: 110.45
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 41)
-0/69092 Loss: 114.775
-3200/69092 Loss: 108.106
-6400/69092 Loss: 111.209
-9600/69092 Loss: 109.911
-12800/69092 Loss: 109.625
-16000/69092 Loss: 110.445
-19200/69092 Loss: 110.535
-22400/69092 Loss: 111.299
-25600/69092 Loss: 110.666
-28800/69092 Loss: 110.410
-32000/69092 Loss: 109.227
-35200/69092 Loss: 111.651
-38400/69092 Loss: 109.915
-41600/69092 Loss: 110.830
-44800/69092 Loss: 109.736
-48000/69092 Loss: 110.278
-51200/69092 Loss: 110.908
-54400/69092 Loss: 110.394
-57600/69092 Loss: 110.202
-60800/69092 Loss: 110.999
-64000/69092 Loss: 110.175
-67200/69092 Loss: 108.871
-Training time 0:04:37.605560
-Epoch: 37 Average loss: 110.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 42)
-0/69092 Loss: 104.960
-3200/69092 Loss: 108.889
-6400/69092 Loss: 112.234
-9600/69092 Loss: 109.699
-12800/69092 Loss: 109.142
-16000/69092 Loss: 108.497
-19200/69092 Loss: 109.407
-22400/69092 Loss: 110.011
-25600/69092 Loss: 108.630
-28800/69092 Loss: 110.500
-32000/69092 Loss: 108.327
-35200/69092 Loss: 109.930
-38400/69092 Loss: 110.265
-41600/69092 Loss: 110.566
-44800/69092 Loss: 111.602
-48000/69092 Loss: 109.075
-51200/69092 Loss: 112.328
-54400/69092 Loss: 111.355
-57600/69092 Loss: 110.336
-60800/69092 Loss: 108.419
-64000/69092 Loss: 110.706
-67200/69092 Loss: 109.177
-Training time 0:04:42.874293
-Epoch: 38 Average loss: 110.03
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 43)
-0/69092 Loss: 101.099
-3200/69092 Loss: 108.840
-6400/69092 Loss: 111.816
-9600/69092 Loss: 108.919
-12800/69092 Loss: 111.016
-16000/69092 Loss: 108.929
-19200/69092 Loss: 109.597
-22400/69092 Loss: 110.688
-25600/69092 Loss: 108.692
-28800/69092 Loss: 112.614
-32000/69092 Loss: 109.458
-35200/69092 Loss: 111.066
-38400/69092 Loss: 109.306
-41600/69092 Loss: 110.359
-44800/69092 Loss: 111.017
-48000/69092 Loss: 108.748
-51200/69092 Loss: 109.679
-54400/69092 Loss: 110.205
-57600/69092 Loss: 110.115
-60800/69092 Loss: 109.525
-64000/69092 Loss: 109.737
-67200/69092 Loss: 110.562
-Training time 0:04:44.660730
-Epoch: 39 Average loss: 110.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 44)
-0/69092 Loss: 113.374
-3200/69092 Loss: 110.626
-6400/69092 Loss: 110.426
-9600/69092 Loss: 110.897
-12800/69092 Loss: 109.861
-16000/69092 Loss: 108.550
-19200/69092 Loss: 109.533
-22400/69092 Loss: 109.485
-25600/69092 Loss: 111.144
-28800/69092 Loss: 109.704
-32000/69092 Loss: 109.563
-35200/69092 Loss: 110.768
-38400/69092 Loss: 108.485
-41600/69092 Loss: 109.076
-44800/69092 Loss: 108.626
-48000/69092 Loss: 111.067
-51200/69092 Loss: 110.033
-54400/69092 Loss: 110.220
-57600/69092 Loss: 110.535
-60800/69092 Loss: 110.658
-64000/69092 Loss: 110.981
-67200/69092 Loss: 109.433
-Training time 0:04:42.924883
-Epoch: 40 Average loss: 110.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 45)
-0/69092 Loss: 108.721
-3200/69092 Loss: 111.064
-6400/69092 Loss: 109.979
-9600/69092 Loss: 109.450
-12800/69092 Loss: 110.368
-16000/69092 Loss: 109.995
-19200/69092 Loss: 110.070
-22400/69092 Loss: 109.947
-25600/69092 Loss: 110.112
-28800/69092 Loss: 109.921
-32000/69092 Loss: 107.978
-35200/69092 Loss: 109.070
-38400/69092 Loss: 109.520
-41600/69092 Loss: 108.034
-44800/69092 Loss: 109.744
-48000/69092 Loss: 109.552
-51200/69092 Loss: 109.638
-54400/69092 Loss: 109.456
-57600/69092 Loss: 109.720
-60800/69092 Loss: 111.156
-64000/69092 Loss: 108.989
-67200/69092 Loss: 111.889
-Training time 0:04:51.701796
-Epoch: 41 Average loss: 109.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 46)
-0/69092 Loss: 102.802
-3200/69092 Loss: 111.136
-6400/69092 Loss: 109.180
-9600/69092 Loss: 109.834
-12800/69092 Loss: 108.788
-16000/69092 Loss: 109.064
-19200/69092 Loss: 110.622
-22400/69092 Loss: 108.998
-25600/69092 Loss: 109.969
-28800/69092 Loss: 109.226
-32000/69092 Loss: 109.222
-35200/69092 Loss: 109.802
-38400/69092 Loss: 110.785
-41600/69092 Loss: 109.166
-44800/69092 Loss: 109.259
-48000/69092 Loss: 110.716
-51200/69092 Loss: 108.746
-54400/69092 Loss: 110.182
-57600/69092 Loss: 110.703
-60800/69092 Loss: 109.418
-64000/69092 Loss: 109.296
-67200/69092 Loss: 108.989
-Training time 0:04:43.843168
-Epoch: 42 Average loss: 109.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 47)
-0/69092 Loss: 126.465
-3200/69092 Loss: 109.168
-6400/69092 Loss: 108.719
-9600/69092 Loss: 109.867
-12800/69092 Loss: 108.087
-16000/69092 Loss: 109.965
-19200/69092 Loss: 110.314
-22400/69092 Loss: 108.599
-25600/69092 Loss: 109.118
-28800/69092 Loss: 112.310
-32000/69092 Loss: 110.493
-35200/69092 Loss: 110.416
-38400/69092 Loss: 109.973
-41600/69092 Loss: 111.803
-44800/69092 Loss: 108.155
-48000/69092 Loss: 109.102
-51200/69092 Loss: 108.966
-54400/69092 Loss: 108.444
-57600/69092 Loss: 109.125
-60800/69092 Loss: 108.695
-64000/69092 Loss: 110.524
-67200/69092 Loss: 110.741
-Training time 0:04:50.546091
-Epoch: 43 Average loss: 109.67
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 48)
-0/69092 Loss: 103.647
-3200/69092 Loss: 109.899
-6400/69092 Loss: 110.280
-9600/69092 Loss: 109.248
-12800/69092 Loss: 110.468
-16000/69092 Loss: 111.977
-19200/69092 Loss: 109.311
-22400/69092 Loss: 111.485
-25600/69092 Loss: 109.807
-28800/69092 Loss: 109.574
-32000/69092 Loss: 107.953
-35200/69092 Loss: 109.336
-38400/69092 Loss: 108.080
-41600/69092 Loss: 108.483
-44800/69092 Loss: 109.126
-48000/69092 Loss: 108.139
-51200/69092 Loss: 108.291
-54400/69092 Loss: 108.933
-57600/69092 Loss: 108.613
-60800/69092 Loss: 109.202
-64000/69092 Loss: 109.614
-67200/69092 Loss: 110.292
-Training time 0:04:49.733684
-Epoch: 44 Average loss: 109.45
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 49)
-0/69092 Loss: 109.167
-3200/69092 Loss: 109.525
-6400/69092 Loss: 108.399
-9600/69092 Loss: 108.729
-12800/69092 Loss: 108.766
-16000/69092 Loss: 110.111
-19200/69092 Loss: 109.067
-22400/69092 Loss: 109.113
-25600/69092 Loss: 110.619
-28800/69092 Loss: 110.376
-32000/69092 Loss: 109.246
-35200/69092 Loss: 108.491
-38400/69092 Loss: 110.233
-41600/69092 Loss: 108.926
-44800/69092 Loss: 108.867
-48000/69092 Loss: 109.026
-51200/69092 Loss: 110.182
-54400/69092 Loss: 109.406
-57600/69092 Loss: 110.103
-60800/69092 Loss: 109.449
-64000/69092 Loss: 107.732
-67200/69092 Loss: 110.404
-Training time 0:04:53.380546
-Epoch: 45 Average loss: 109.34
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 50)
-0/69092 Loss: 102.441
-3200/69092 Loss: 109.258
-6400/69092 Loss: 109.261
-9600/69092 Loss: 109.454
-12800/69092 Loss: 109.680
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-19200/69092 Loss: 109.354
-22400/69092 Loss: 108.090
-25600/69092 Loss: 108.010
-28800/69092 Loss: 109.430
-32000/69092 Loss: 111.084
-35200/69092 Loss: 108.300
-38400/69092 Loss: 107.124
-41600/69092 Loss: 106.001
-44800/69092 Loss: 109.506
-48000/69092 Loss: 111.813
-51200/69092 Loss: 109.929
-54400/69092 Loss: 108.852
-57600/69092 Loss: 107.228
-60800/69092 Loss: 110.214
-64000/69092 Loss: 108.539
-67200/69092 Loss: 108.468
-Training time 0:04:42.198571
-Epoch: 46 Average loss: 109.08
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 51)
-0/69092 Loss: 110.935
-3200/69092 Loss: 109.027
-6400/69092 Loss: 108.949
-9600/69092 Loss: 108.656
-12800/69092 Loss: 108.127
-16000/69092 Loss: 109.599
-19200/69092 Loss: 107.615
-22400/69092 Loss: 111.287
-25600/69092 Loss: 110.431
-28800/69092 Loss: 109.253
-32000/69092 Loss: 110.841
-35200/69092 Loss: 108.992
-38400/69092 Loss: 108.798
-41600/69092 Loss: 110.392
-44800/69092 Loss: 107.892
-48000/69092 Loss: 108.384
-51200/69092 Loss: 109.177
-54400/69092 Loss: 109.331
-57600/69092 Loss: 107.822
-60800/69092 Loss: 106.257
-64000/69092 Loss: 108.215
-67200/69092 Loss: 110.373
-Training time 0:04:49.803242
-Epoch: 47 Average loss: 108.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 52)
-0/69092 Loss: 107.273
-3200/69092 Loss: 108.980
-6400/69092 Loss: 109.240
-9600/69092 Loss: 107.524
-12800/69092 Loss: 108.102
-16000/69092 Loss: 109.265
-19200/69092 Loss: 110.584
-22400/69092 Loss: 109.721
-25600/69092 Loss: 107.613
-28800/69092 Loss: 108.611
-32000/69092 Loss: 109.184
-35200/69092 Loss: 108.064
-38400/69092 Loss: 108.106
-41600/69092 Loss: 108.937
-44800/69092 Loss: 107.993
-48000/69092 Loss: 108.745
-51200/69092 Loss: 110.025
-54400/69092 Loss: 108.768
-57600/69092 Loss: 108.040
-60800/69092 Loss: 108.474
-64000/69092 Loss: 108.278
-67200/69092 Loss: 108.626
-Training time 0:04:50.519463
-Epoch: 48 Average loss: 108.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 53)
-0/69092 Loss: 102.906
-3200/69092 Loss: 108.175
-6400/69092 Loss: 110.078
-9600/69092 Loss: 108.896
-12800/69092 Loss: 108.041
-16000/69092 Loss: 108.613
-19200/69092 Loss: 109.001
-22400/69092 Loss: 108.239
-25600/69092 Loss: 108.157
-28800/69092 Loss: 109.316
-32000/69092 Loss: 108.273
-35200/69092 Loss: 108.219
-38400/69092 Loss: 107.372
-41600/69092 Loss: 107.124
-44800/69092 Loss: 108.016
-48000/69092 Loss: 110.386
-51200/69092 Loss: 108.787
-54400/69092 Loss: 108.155
-57600/69092 Loss: 108.254
-60800/69092 Loss: 108.866
-64000/69092 Loss: 109.982
-67200/69092 Loss: 109.006
-Training time 0:04:49.696891
-Epoch: 49 Average loss: 108.58
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 54)
-0/69092 Loss: 104.153
-3200/69092 Loss: 108.018
-6400/69092 Loss: 108.156
-9600/69092 Loss: 108.956
-12800/69092 Loss: 110.080
-16000/69092 Loss: 109.224
-19200/69092 Loss: 109.280
-22400/69092 Loss: 107.590
-25600/69092 Loss: 108.249
-28800/69092 Loss: 106.179
-32000/69092 Loss: 108.142
-35200/69092 Loss: 108.132
-38400/69092 Loss: 108.733
-41600/69092 Loss: 109.026
-44800/69092 Loss: 107.957
-48000/69092 Loss: 106.913
-51200/69092 Loss: 108.879
-54400/69092 Loss: 108.485
-57600/69092 Loss: 108.608
-60800/69092 Loss: 109.192
-64000/69092 Loss: 107.740
-67200/69092 Loss: 109.164
-Training time 0:04:42.383065
-Epoch: 50 Average loss: 108.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 55)
-0/69092 Loss: 103.210
-3200/69092 Loss: 107.998
-6400/69092 Loss: 110.100
-9600/69092 Loss: 108.056
-12800/69092 Loss: 106.873
-16000/69092 Loss: 106.977
-19200/69092 Loss: 108.452
-22400/69092 Loss: 108.645
-25600/69092 Loss: 108.029
-28800/69092 Loss: 108.975
-32000/69092 Loss: 109.396
-35200/69092 Loss: 107.864
-38400/69092 Loss: 108.605
-41600/69092 Loss: 108.646
-44800/69092 Loss: 108.115
-48000/69092 Loss: 106.863
-51200/69092 Loss: 108.656
-54400/69092 Loss: 107.829
-57600/69092 Loss: 108.720
-60800/69092 Loss: 107.200
-64000/69092 Loss: 107.129
-67200/69092 Loss: 108.928
-Training time 0:04:53.753077
-Epoch: 51 Average loss: 108.24
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 56)
-0/69092 Loss: 99.226
-3200/69092 Loss: 109.379
-6400/69092 Loss: 107.912
-9600/69092 Loss: 108.517
-12800/69092 Loss: 108.567
-16000/69092 Loss: 107.621
-19200/69092 Loss: 108.156
-22400/69092 Loss: 108.049
-25600/69092 Loss: 106.849
-28800/69092 Loss: 107.496
-32000/69092 Loss: 107.815
-35200/69092 Loss: 110.221
-38400/69092 Loss: 107.563
-41600/69092 Loss: 107.106
-44800/69092 Loss: 107.033
-48000/69092 Loss: 109.990
-51200/69092 Loss: 109.967
-54400/69092 Loss: 108.879
-57600/69092 Loss: 107.200
-60800/69092 Loss: 108.082
-64000/69092 Loss: 108.172
-67200/69092 Loss: 108.027
-Training time 0:04:49.744157
-Epoch: 52 Average loss: 108.25
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 57)
-0/69092 Loss: 104.733
-3200/69092 Loss: 107.449
-6400/69092 Loss: 107.652
-9600/69092 Loss: 108.413
-12800/69092 Loss: 107.699
-16000/69092 Loss: 108.465
-19200/69092 Loss: 106.801
-22400/69092 Loss: 106.146
-25600/69092 Loss: 109.091
-28800/69092 Loss: 107.616
-32000/69092 Loss: 109.353
-35200/69092 Loss: 107.828
-38400/69092 Loss: 107.516
-41600/69092 Loss: 108.168
-44800/69092 Loss: 106.649
-48000/69092 Loss: 109.267
-51200/69092 Loss: 109.144
-54400/69092 Loss: 107.902
-57600/69092 Loss: 108.065
-60800/69092 Loss: 109.866
-64000/69092 Loss: 109.355
-67200/69092 Loss: 106.590
-Training time 0:04:56.545482
-Epoch: 53 Average loss: 108.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 58)
-0/69092 Loss: 103.578
-3200/69092 Loss: 107.679
-6400/69092 Loss: 107.674
-9600/69092 Loss: 108.424
-12800/69092 Loss: 108.361
-16000/69092 Loss: 106.618
-19200/69092 Loss: 109.062
-22400/69092 Loss: 107.414
-25600/69092 Loss: 110.398
-28800/69092 Loss: 106.737
-32000/69092 Loss: 106.625
-35200/69092 Loss: 106.643
-38400/69092 Loss: 108.122
-41600/69092 Loss: 107.716
-44800/69092 Loss: 108.184
-48000/69092 Loss: 109.113
-51200/69092 Loss: 107.916
-54400/69092 Loss: 107.116
-57600/69092 Loss: 105.350
-60800/69092 Loss: 109.847
-64000/69092 Loss: 107.041
-67200/69092 Loss: 107.282
-Training time 0:04:49.920582
-Epoch: 54 Average loss: 107.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 59)
-0/69092 Loss: 109.314
-3200/69092 Loss: 106.938
-6400/69092 Loss: 106.937
-9600/69092 Loss: 108.338
-12800/69092 Loss: 106.591
-16000/69092 Loss: 106.293
-19200/69092 Loss: 107.046
-22400/69092 Loss: 108.085
-25600/69092 Loss: 109.090
-28800/69092 Loss: 106.335
-32000/69092 Loss: 109.177
-35200/69092 Loss: 108.154
-38400/69092 Loss: 108.860
-41600/69092 Loss: 107.963
-44800/69092 Loss: 106.935
-48000/69092 Loss: 108.159
-51200/69092 Loss: 107.759
-54400/69092 Loss: 107.512
-57600/69092 Loss: 107.193
-60800/69092 Loss: 107.152
-64000/69092 Loss: 107.224
-67200/69092 Loss: 108.543
-Training time 0:04:51.018882
-Epoch: 55 Average loss: 107.69
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 60)
-0/69092 Loss: 91.358
-3200/69092 Loss: 106.304
-6400/69092 Loss: 108.153
-9600/69092 Loss: 109.371
-12800/69092 Loss: 107.301
-16000/69092 Loss: 108.816
-19200/69092 Loss: 107.875
-22400/69092 Loss: 107.227
-25600/69092 Loss: 108.243
-28800/69092 Loss: 108.738
-32000/69092 Loss: 107.627
-35200/69092 Loss: 107.309
-38400/69092 Loss: 108.692
-41600/69092 Loss: 108.226
-44800/69092 Loss: 106.392
-48000/69092 Loss: 107.722
-51200/69092 Loss: 106.610
-54400/69092 Loss: 108.167
-57600/69092 Loss: 108.127
-60800/69092 Loss: 107.082
-64000/69092 Loss: 107.069
-67200/69092 Loss: 106.531
-Training time 0:04:43.520874
-Epoch: 56 Average loss: 107.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 61)
-0/69092 Loss: 110.477
-3200/69092 Loss: 108.627
-6400/69092 Loss: 107.287
-9600/69092 Loss: 105.823
-12800/69092 Loss: 109.205
-16000/69092 Loss: 106.500
-19200/69092 Loss: 106.957
-22400/69092 Loss: 108.999
-25600/69092 Loss: 106.936
-28800/69092 Loss: 106.688
-32000/69092 Loss: 108.377
-35200/69092 Loss: 106.603
-38400/69092 Loss: 106.404
-41600/69092 Loss: 106.618
-44800/69092 Loss: 108.963
-48000/69092 Loss: 105.955
-51200/69092 Loss: 108.686
-54400/69092 Loss: 107.060
-57600/69092 Loss: 108.829
-60800/69092 Loss: 109.190
-64000/69092 Loss: 109.119
-67200/69092 Loss: 108.589
-Training time 0:04:41.173054
-Epoch: 57 Average loss: 107.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 62)
-0/69092 Loss: 112.057
-3200/69092 Loss: 108.878
-6400/69092 Loss: 107.226
-9600/69092 Loss: 108.297
-12800/69092 Loss: 108.657
-16000/69092 Loss: 106.209
-19200/69092 Loss: 105.882
-22400/69092 Loss: 106.071
-25600/69092 Loss: 108.803
-28800/69092 Loss: 107.810
-32000/69092 Loss: 105.625
-35200/69092 Loss: 106.806
-38400/69092 Loss: 108.175
-41600/69092 Loss: 107.626
-44800/69092 Loss: 107.604
-48000/69092 Loss: 107.837
-51200/69092 Loss: 106.685
-54400/69092 Loss: 110.453
-57600/69092 Loss: 108.153
-60800/69092 Loss: 107.209
-64000/69092 Loss: 107.714
-67200/69092 Loss: 106.547
-Training time 0:04:43.993388
-Epoch: 58 Average loss: 107.55
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 63)
-0/69092 Loss: 123.563
-3200/69092 Loss: 106.403
-6400/69092 Loss: 107.181
-9600/69092 Loss: 108.489
-12800/69092 Loss: 107.953
-16000/69092 Loss: 110.204
-19200/69092 Loss: 109.196
-22400/69092 Loss: 106.157
-25600/69092 Loss: 107.468
-28800/69092 Loss: 105.458
-32000/69092 Loss: 107.226
-35200/69092 Loss: 106.051
-38400/69092 Loss: 107.864
-41600/69092 Loss: 109.366
-44800/69092 Loss: 108.387
-48000/69092 Loss: 107.860
-51200/69092 Loss: 106.375
-54400/69092 Loss: 108.123
-57600/69092 Loss: 106.196
-60800/69092 Loss: 106.480
-64000/69092 Loss: 106.830
-67200/69092 Loss: 106.591
-Training time 0:04:37.546204
-Epoch: 59 Average loss: 107.51
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 64)
-0/69092 Loss: 95.213
-3200/69092 Loss: 106.027
-6400/69092 Loss: 107.618
-9600/69092 Loss: 105.784
-12800/69092 Loss: 107.630
-16000/69092 Loss: 106.266
-19200/69092 Loss: 106.681
-22400/69092 Loss: 108.355
-25600/69092 Loss: 108.582
-28800/69092 Loss: 107.247
-32000/69092 Loss: 106.418
-35200/69092 Loss: 107.866
-38400/69092 Loss: 107.643
-41600/69092 Loss: 107.719
-44800/69092 Loss: 106.770
-48000/69092 Loss: 108.965
-51200/69092 Loss: 107.024
-54400/69092 Loss: 107.825
-57600/69092 Loss: 107.277
-60800/69092 Loss: 106.770
-64000/69092 Loss: 106.849
-67200/69092 Loss: 107.868
-Training time 0:04:43.409421
-Epoch: 60 Average loss: 107.24
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 65)
-0/69092 Loss: 99.140
-3200/69092 Loss: 108.373
-6400/69092 Loss: 108.361
-9600/69092 Loss: 106.322
-12800/69092 Loss: 106.600
-16000/69092 Loss: 105.737
-19200/69092 Loss: 107.075
-22400/69092 Loss: 107.897
-25600/69092 Loss: 106.637
-28800/69092 Loss: 109.254
-32000/69092 Loss: 108.755
-35200/69092 Loss: 107.586
-38400/69092 Loss: 106.973
-41600/69092 Loss: 106.574
-44800/69092 Loss: 107.630
-48000/69092 Loss: 107.069
-51200/69092 Loss: 106.450
-54400/69092 Loss: 106.582
-57600/69092 Loss: 107.387
-60800/69092 Loss: 107.566
-64000/69092 Loss: 107.241
-67200/69092 Loss: 107.083
-Training time 0:04:45.168993
-Epoch: 61 Average loss: 107.29
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 66)
-0/69092 Loss: 108.632
-3200/69092 Loss: 108.459
-6400/69092 Loss: 106.302
-9600/69092 Loss: 107.831
-12800/69092 Loss: 105.810
-16000/69092 Loss: 105.939
-19200/69092 Loss: 109.040
-22400/69092 Loss: 106.610
-25600/69092 Loss: 108.444
-28800/69092 Loss: 107.125
-32000/69092 Loss: 105.910
-35200/69092 Loss: 106.708
-38400/69092 Loss: 105.734
-41600/69092 Loss: 107.290
-44800/69092 Loss: 107.097
-48000/69092 Loss: 107.371
-51200/69092 Loss: 107.602
-54400/69092 Loss: 108.115
-57600/69092 Loss: 107.538
-60800/69092 Loss: 106.859
-64000/69092 Loss: 105.613
-67200/69092 Loss: 107.768
-Training time 0:04:46.909384
-Epoch: 62 Average loss: 107.12
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 67)
-0/69092 Loss: 96.787
-3200/69092 Loss: 106.211
-6400/69092 Loss: 106.251
-9600/69092 Loss: 106.681
-12800/69092 Loss: 106.072
-16000/69092 Loss: 106.618
-19200/69092 Loss: 107.220
-22400/69092 Loss: 108.668
-25600/69092 Loss: 106.418
-28800/69092 Loss: 108.128
-32000/69092 Loss: 106.958
-35200/69092 Loss: 107.550
-38400/69092 Loss: 105.766
-41600/69092 Loss: 108.187
-44800/69092 Loss: 109.119
-48000/69092 Loss: 106.322
-51200/69092 Loss: 108.572
-54400/69092 Loss: 107.911
-57600/69092 Loss: 106.371
-60800/69092 Loss: 106.815
-64000/69092 Loss: 105.432
-67200/69092 Loss: 107.124
-Training time 0:04:45.988190
-Epoch: 63 Average loss: 107.08
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 68)
-0/69092 Loss: 101.009
-3200/69092 Loss: 107.848
-6400/69092 Loss: 107.981
-9600/69092 Loss: 105.931
-12800/69092 Loss: 105.062
-16000/69092 Loss: 107.260
-19200/69092 Loss: 106.238
-22400/69092 Loss: 106.388
-25600/69092 Loss: 107.564
-28800/69092 Loss: 106.940
-32000/69092 Loss: 107.675
-35200/69092 Loss: 107.333
-38400/69092 Loss: 106.242
-41600/69092 Loss: 106.396
-44800/69092 Loss: 107.305
-48000/69092 Loss: 107.249
-51200/69092 Loss: 107.218
-54400/69092 Loss: 108.159
-57600/69092 Loss: 107.802
-60800/69092 Loss: 105.884
-64000/69092 Loss: 107.416
-67200/69092 Loss: 107.177
-Training time 0:04:50.115311
-Epoch: 64 Average loss: 107.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 69)
-0/69092 Loss: 99.700
-3200/69092 Loss: 105.408
-6400/69092 Loss: 107.577
-9600/69092 Loss: 107.187
-12800/69092 Loss: 106.684
-16000/69092 Loss: 107.859
-19200/69092 Loss: 106.757
-22400/69092 Loss: 107.083
-25600/69092 Loss: 107.706
-28800/69092 Loss: 107.304
-32000/69092 Loss: 106.535
-35200/69092 Loss: 107.133
-38400/69092 Loss: 108.241
-41600/69092 Loss: 108.464
-44800/69092 Loss: 107.018
-48000/69092 Loss: 106.956
-51200/69092 Loss: 107.139
-54400/69092 Loss: 105.645
-57600/69092 Loss: 106.116
-60800/69092 Loss: 107.512
-64000/69092 Loss: 105.906
-67200/69092 Loss: 106.503
-Training time 0:04:50.923955
-Epoch: 65 Average loss: 106.94
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 70)
-0/69092 Loss: 113.871
-3200/69092 Loss: 106.510
-6400/69092 Loss: 104.945
-9600/69092 Loss: 106.325
-12800/69092 Loss: 104.192
-16000/69092 Loss: 108.807
-19200/69092 Loss: 107.005
-22400/69092 Loss: 106.568
-25600/69092 Loss: 109.132
-28800/69092 Loss: 106.207
-32000/69092 Loss: 106.092
-35200/69092 Loss: 107.904
-38400/69092 Loss: 107.723
-41600/69092 Loss: 107.919
-44800/69092 Loss: 106.389
-48000/69092 Loss: 106.156
-51200/69092 Loss: 106.327
-54400/69092 Loss: 108.188
-57600/69092 Loss: 106.585
-60800/69092 Loss: 106.378
-64000/69092 Loss: 106.329
-67200/69092 Loss: 108.926
-Training time 0:04:50.597860
-Epoch: 66 Average loss: 106.84
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 71)
-0/69092 Loss: 106.674
-3200/69092 Loss: 105.739
-6400/69092 Loss: 105.293
-9600/69092 Loss: 106.417
-12800/69092 Loss: 106.795
-16000/69092 Loss: 106.054
-19200/69092 Loss: 104.626
-22400/69092 Loss: 108.555
-25600/69092 Loss: 107.928
-28800/69092 Loss: 106.134
-32000/69092 Loss: 106.989
-35200/69092 Loss: 106.796
-38400/69092 Loss: 106.665
-41600/69092 Loss: 105.272
-44800/69092 Loss: 108.432
-48000/69092 Loss: 106.274
-51200/69092 Loss: 106.274
-54400/69092 Loss: 105.491
-57600/69092 Loss: 107.484
-60800/69092 Loss: 106.835
-64000/69092 Loss: 106.077
-67200/69092 Loss: 108.613
-Training time 0:04:50.856114
-Epoch: 67 Average loss: 106.60
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 72)
-0/69092 Loss: 107.316
-3200/69092 Loss: 107.972
-6400/69092 Loss: 108.050
-9600/69092 Loss: 106.102
-12800/69092 Loss: 106.441
-16000/69092 Loss: 108.152
-19200/69092 Loss: 107.119
-22400/69092 Loss: 106.215
-25600/69092 Loss: 107.264
-28800/69092 Loss: 105.527
-32000/69092 Loss: 107.794
-35200/69092 Loss: 105.042
-38400/69092 Loss: 107.403
-41600/69092 Loss: 105.311
-44800/69092 Loss: 106.848
-48000/69092 Loss: 106.986
-51200/69092 Loss: 107.933
-54400/69092 Loss: 105.659
-57600/69092 Loss: 107.058
-60800/69092 Loss: 107.427
-64000/69092 Loss: 106.436
-67200/69092 Loss: 105.850
-Training time 0:04:42.894581
-Epoch: 68 Average loss: 106.74
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 73)
-0/69092 Loss: 103.258
-3200/69092 Loss: 105.467
-6400/69092 Loss: 105.508
-9600/69092 Loss: 107.575
-12800/69092 Loss: 107.472
-16000/69092 Loss: 105.982
-19200/69092 Loss: 105.868
-22400/69092 Loss: 106.597
-25600/69092 Loss: 106.147
-28800/69092 Loss: 106.502
-32000/69092 Loss: 106.497
-35200/69092 Loss: 106.906
-38400/69092 Loss: 107.811
-41600/69092 Loss: 107.281
-44800/69092 Loss: 106.072
-48000/69092 Loss: 106.723
-51200/69092 Loss: 106.482
-54400/69092 Loss: 106.787
-57600/69092 Loss: 107.622
-60800/69092 Loss: 105.791
-64000/69092 Loss: 107.319
-67200/69092 Loss: 106.772
-Training time 0:04:54.501528
-Epoch: 69 Average loss: 106.62
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 74)
-0/69092 Loss: 107.553
-3200/69092 Loss: 106.098
-6400/69092 Loss: 107.191
-9600/69092 Loss: 106.159
-12800/69092 Loss: 104.771
-16000/69092 Loss: 109.163
-19200/69092 Loss: 107.074
-22400/69092 Loss: 105.869
-25600/69092 Loss: 106.491
-28800/69092 Loss: 106.822
-32000/69092 Loss: 107.059
-35200/69092 Loss: 105.834
-38400/69092 Loss: 104.738
-41600/69092 Loss: 106.728
-44800/69092 Loss: 107.754
-48000/69092 Loss: 106.263
-51200/69092 Loss: 105.967
-54400/69092 Loss: 105.614
-57600/69092 Loss: 108.203
-60800/69092 Loss: 106.293
-64000/69092 Loss: 105.167
-67200/69092 Loss: 106.777
-Training time 0:04:52.868330
-Epoch: 70 Average loss: 106.45
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 75)
-0/69092 Loss: 98.173
-3200/69092 Loss: 107.283
-6400/69092 Loss: 106.688
-9600/69092 Loss: 106.175
-12800/69092 Loss: 106.923
-16000/69092 Loss: 105.406
-19200/69092 Loss: 105.920
-22400/69092 Loss: 107.011
-25600/69092 Loss: 107.188
-28800/69092 Loss: 106.831
-32000/69092 Loss: 105.050
-35200/69092 Loss: 107.188
-38400/69092 Loss: 105.814
-41600/69092 Loss: 107.216
-44800/69092 Loss: 106.493
-48000/69092 Loss: 105.505
-51200/69092 Loss: 105.077
-54400/69092 Loss: 105.549
-57600/69092 Loss: 107.144
-60800/69092 Loss: 106.992
-64000/69092 Loss: 105.153
-67200/69092 Loss: 105.536
-Training time 0:04:55.646175
-Epoch: 71 Average loss: 106.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 76)
-0/69092 Loss: 104.828
-3200/69092 Loss: 106.681
-6400/69092 Loss: 104.585
-9600/69092 Loss: 104.697
-12800/69092 Loss: 107.388
-16000/69092 Loss: 106.748
-19200/69092 Loss: 106.904
-22400/69092 Loss: 105.430
-25600/69092 Loss: 107.294
-28800/69092 Loss: 106.562
-32000/69092 Loss: 107.229
-35200/69092 Loss: 104.755
-38400/69092 Loss: 106.461
-41600/69092 Loss: 105.027
-44800/69092 Loss: 107.103
-48000/69092 Loss: 107.121
-51200/69092 Loss: 107.508
-54400/69092 Loss: 106.154
-57600/69092 Loss: 107.660
-60800/69092 Loss: 105.422
-64000/69092 Loss: 105.391
-67200/69092 Loss: 107.187
-Training time 0:04:52.971490
-Epoch: 72 Average loss: 106.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 77)
-0/69092 Loss: 102.193
-3200/69092 Loss: 105.875
-6400/69092 Loss: 107.181
-9600/69092 Loss: 105.227
-12800/69092 Loss: 107.922
-16000/69092 Loss: 105.979
-19200/69092 Loss: 106.287
-22400/69092 Loss: 104.530
-25600/69092 Loss: 104.866
-28800/69092 Loss: 106.620
-32000/69092 Loss: 105.745
-35200/69092 Loss: 106.743
-38400/69092 Loss: 106.674
-41600/69092 Loss: 106.348
-44800/69092 Loss: 106.103
-48000/69092 Loss: 106.401
-51200/69092 Loss: 106.476
-54400/69092 Loss: 107.128
-57600/69092 Loss: 104.708
-60800/69092 Loss: 106.286
-64000/69092 Loss: 107.405
-67200/69092 Loss: 106.975
-Training time 0:04:52.079726
-Epoch: 73 Average loss: 106.29
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 78)
-0/69092 Loss: 115.106
-3200/69092 Loss: 106.613
-6400/69092 Loss: 105.516
-9600/69092 Loss: 106.279
-12800/69092 Loss: 107.035
-16000/69092 Loss: 106.901
-19200/69092 Loss: 106.259
-22400/69092 Loss: 106.482
-25600/69092 Loss: 106.685
-28800/69092 Loss: 105.713
-32000/69092 Loss: 106.677
-35200/69092 Loss: 105.898
-38400/69092 Loss: 105.959
-41600/69092 Loss: 106.056
-44800/69092 Loss: 104.058
-48000/69092 Loss: 107.636
-51200/69092 Loss: 106.408
-54400/69092 Loss: 105.510
-57600/69092 Loss: 107.126
-60800/69092 Loss: 102.794
-64000/69092 Loss: 105.883
-67200/69092 Loss: 106.210
-Training time 0:04:48.463217
-Epoch: 74 Average loss: 106.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 79)
-0/69092 Loss: 108.485
-3200/69092 Loss: 105.781
-6400/69092 Loss: 106.366
-9600/69092 Loss: 106.327
-12800/69092 Loss: 106.386
-16000/69092 Loss: 105.807
-19200/69092 Loss: 107.269
-22400/69092 Loss: 107.495
-25600/69092 Loss: 106.904
-28800/69092 Loss: 106.073
-32000/69092 Loss: 107.340
-35200/69092 Loss: 104.801
-38400/69092 Loss: 105.712
-41600/69092 Loss: 104.574
-44800/69092 Loss: 106.045
-48000/69092 Loss: 106.166
-51200/69092 Loss: 105.577
-54400/69092 Loss: 106.264
-57600/69092 Loss: 104.153
-60800/69092 Loss: 107.094
-64000/69092 Loss: 105.029
-67200/69092 Loss: 106.907
-Training time 0:04:46.581238
-Epoch: 75 Average loss: 106.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 80)
-0/69092 Loss: 133.000
-3200/69092 Loss: 106.878
-6400/69092 Loss: 107.797
-9600/69092 Loss: 106.549
-12800/69092 Loss: 106.853
-16000/69092 Loss: 105.499
-19200/69092 Loss: 105.092
-22400/69092 Loss: 106.505
-25600/69092 Loss: 106.679
-28800/69092 Loss: 102.969
-32000/69092 Loss: 105.854
-35200/69092 Loss: 106.818
-38400/69092 Loss: 106.764
-41600/69092 Loss: 105.524
-44800/69092 Loss: 107.438
-48000/69092 Loss: 105.218
-51200/69092 Loss: 104.353
-54400/69092 Loss: 106.234
-57600/69092 Loss: 105.975
-60800/69092 Loss: 106.486
-64000/69092 Loss: 105.349
-67200/69092 Loss: 106.522
-Training time 0:04:52.247822
-Epoch: 76 Average loss: 106.09
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 81)
-0/69092 Loss: 113.320
-3200/69092 Loss: 106.065
-6400/69092 Loss: 105.636
-9600/69092 Loss: 105.594
-12800/69092 Loss: 104.921
-16000/69092 Loss: 105.310
-19200/69092 Loss: 106.557
-22400/69092 Loss: 106.530
-25600/69092 Loss: 106.007
-28800/69092 Loss: 104.959
-32000/69092 Loss: 105.296
-35200/69092 Loss: 105.649
-38400/69092 Loss: 105.838
-41600/69092 Loss: 104.787
-44800/69092 Loss: 105.916
-48000/69092 Loss: 104.483
-51200/69092 Loss: 108.540
-54400/69092 Loss: 106.935
-57600/69092 Loss: 107.094
-60800/69092 Loss: 105.542
-64000/69092 Loss: 107.094
-67200/69092 Loss: 106.696
-Training time 0:04:50.465072
-Epoch: 77 Average loss: 106.04
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 82)
-0/69092 Loss: 105.775
-3200/69092 Loss: 104.143
-6400/69092 Loss: 106.376
-9600/69092 Loss: 105.853
-12800/69092 Loss: 107.442
-16000/69092 Loss: 105.974
-19200/69092 Loss: 106.224
-22400/69092 Loss: 106.614
-25600/69092 Loss: 104.898
-28800/69092 Loss: 105.351
-32000/69092 Loss: 106.364
-35200/69092 Loss: 106.209
-38400/69092 Loss: 107.988
-41600/69092 Loss: 106.163
-44800/69092 Loss: 105.920
-48000/69092 Loss: 104.891
-51200/69092 Loss: 105.154
-54400/69092 Loss: 105.039
-57600/69092 Loss: 107.874
-60800/69092 Loss: 106.659
-64000/69092 Loss: 104.838
-67200/69092 Loss: 106.004
-Training time 0:04:47.906519
-Epoch: 78 Average loss: 106.00
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 83)
-0/69092 Loss: 104.938
-3200/69092 Loss: 105.438
-6400/69092 Loss: 105.059
-9600/69092 Loss: 106.616
-12800/69092 Loss: 105.004
-16000/69092 Loss: 107.055
-19200/69092 Loss: 106.784
-22400/69092 Loss: 105.539
-25600/69092 Loss: 105.332
-28800/69092 Loss: 105.271
-32000/69092 Loss: 105.947
-35200/69092 Loss: 106.141
-38400/69092 Loss: 106.491
-41600/69092 Loss: 104.884
-44800/69092 Loss: 106.111
-48000/69092 Loss: 105.816
-51200/69092 Loss: 104.976
-54400/69092 Loss: 106.576
-57600/69092 Loss: 105.387
-60800/69092 Loss: 106.023
-64000/69092 Loss: 106.223
-67200/69092 Loss: 105.289
-Training time 0:04:49.954373
-Epoch: 79 Average loss: 105.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 84)
-0/69092 Loss: 111.414
-3200/69092 Loss: 104.501
-6400/69092 Loss: 105.996
-9600/69092 Loss: 105.728
-12800/69092 Loss: 105.972
-16000/69092 Loss: 103.711
-19200/69092 Loss: 105.339
-22400/69092 Loss: 105.824
-25600/69092 Loss: 106.456
-28800/69092 Loss: 105.027
-32000/69092 Loss: 105.114
-35200/69092 Loss: 105.825
-38400/69092 Loss: 106.253
-41600/69092 Loss: 105.802
-44800/69092 Loss: 105.359
-48000/69092 Loss: 105.120
-51200/69092 Loss: 105.310
-54400/69092 Loss: 106.832
-57600/69092 Loss: 107.461
-60800/69092 Loss: 106.991
-64000/69092 Loss: 108.579
-67200/69092 Loss: 105.452
-Training time 0:04:52.101022
-Epoch: 80 Average loss: 105.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_20/checkpoints/last' (iter 85)
-0/69092 Loss: 118.695
-3200/69092 Loss: 104.423
-6400/69092 Loss: 104.555
diff --git a/OAR.2068294.stderr b/OAR.2068294.stderr
deleted file mode 100644
index a9c628a29c..0000000000
--- a/OAR.2068294.stderr
+++ /dev/null
@@ -1,2 +0,0 @@
-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
diff --git a/OAR.2068294.stdout b/OAR.2068294.stdout
deleted file mode 100644
index b48bdf14b4..0000000000
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+++ /dev/null
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-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_10_lr_5e_4', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.0005, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_10_lr_5e_4
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last (iter 1)'
-0/69092 Loss: 159.842
-3200/69092 Loss: 169.274
-6400/69092 Loss: 166.739
-9600/69092 Loss: 164.403
-12800/69092 Loss: 163.047
-16000/69092 Loss: 158.285
-19200/69092 Loss: 160.616
-22400/69092 Loss: 155.277
-25600/69092 Loss: 154.275
-28800/69092 Loss: 151.988
-32000/69092 Loss: 149.324
-35200/69092 Loss: 150.873
-38400/69092 Loss: 151.049
-41600/69092 Loss: 150.226
-44800/69092 Loss: 150.034
-48000/69092 Loss: 148.424
-51200/69092 Loss: 145.290
-54400/69092 Loss: 151.523
-57600/69092 Loss: 147.486
-60800/69092 Loss: 146.221
-64000/69092 Loss: 149.535
-67200/69092 Loss: 146.699
-Training time 0:04:50.557788
-Epoch: 1 Average loss: 153.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 2)
-0/69092 Loss: 143.173
-3200/69092 Loss: 148.837
-6400/69092 Loss: 149.340
-9600/69092 Loss: 147.622
-12800/69092 Loss: 146.403
-16000/69092 Loss: 146.955
-19200/69092 Loss: 145.442
-22400/69092 Loss: 147.009
-25600/69092 Loss: 145.950
-28800/69092 Loss: 143.687
-32000/69092 Loss: 145.683
-35200/69092 Loss: 145.375
-38400/69092 Loss: 145.855
-41600/69092 Loss: 145.754
-44800/69092 Loss: 145.672
-48000/69092 Loss: 143.268
-51200/69092 Loss: 143.225
-54400/69092 Loss: 144.677
-57600/69092 Loss: 145.922
-60800/69092 Loss: 146.299
-64000/69092 Loss: 143.574
-67200/69092 Loss: 143.527
-Training time 0:04:51.692162
-Epoch: 2 Average loss: 145.81
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 3)
-0/69092 Loss: 153.519
-3200/69092 Loss: 145.651
-6400/69092 Loss: 141.828
-9600/69092 Loss: 145.531
-12800/69092 Loss: 145.265
-16000/69092 Loss: 142.549
-19200/69092 Loss: 140.299
-22400/69092 Loss: 147.157
-25600/69092 Loss: 144.192
-28800/69092 Loss: 143.237
-32000/69092 Loss: 141.736
-35200/69092 Loss: 142.677
-38400/69092 Loss: 142.500
-41600/69092 Loss: 144.968
-44800/69092 Loss: 140.901
-48000/69092 Loss: 142.025
-51200/69092 Loss: 144.095
-54400/69092 Loss: 141.622
-57600/69092 Loss: 140.296
-60800/69092 Loss: 142.888
-64000/69092 Loss: 139.783
-67200/69092 Loss: 139.524
-Training time 0:04:46.026650
-Epoch: 3 Average loss: 142.71
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 4)
-0/69092 Loss: 153.974
-3200/69092 Loss: 143.761
-6400/69092 Loss: 142.291
-9600/69092 Loss: 139.206
-12800/69092 Loss: 141.900
-16000/69092 Loss: 138.278
-19200/69092 Loss: 140.812
-22400/69092 Loss: 139.452
-25600/69092 Loss: 142.395
-28800/69092 Loss: 141.577
-32000/69092 Loss: 137.828
-35200/69092 Loss: 141.852
-38400/69092 Loss: 142.464
-41600/69092 Loss: 140.110
-44800/69092 Loss: 140.493
-48000/69092 Loss: 139.024
-51200/69092 Loss: 137.492
-54400/69092 Loss: 139.615
-57600/69092 Loss: 139.125
-60800/69092 Loss: 143.667
-64000/69092 Loss: 139.027
-67200/69092 Loss: 137.685
-Training time 0:04:49.303581
-Epoch: 4 Average loss: 140.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 5)
-0/69092 Loss: 112.383
-3200/69092 Loss: 137.454
-6400/69092 Loss: 139.073
-9600/69092 Loss: 140.830
-12800/69092 Loss: 139.548
-16000/69092 Loss: 138.777
-19200/69092 Loss: 140.528
-22400/69092 Loss: 137.749
-25600/69092 Loss: 138.787
-28800/69092 Loss: 141.040
-32000/69092 Loss: 138.785
-35200/69092 Loss: 139.628
-38400/69092 Loss: 140.765
-41600/69092 Loss: 139.658
-44800/69092 Loss: 138.988
-48000/69092 Loss: 139.052
-51200/69092 Loss: 138.653
-54400/69092 Loss: 139.797
-57600/69092 Loss: 139.011
-60800/69092 Loss: 138.346
-64000/69092 Loss: 139.014
-67200/69092 Loss: 140.627
-Training time 0:04:47.368582
-Epoch: 5 Average loss: 139.21
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 6)
-0/69092 Loss: 130.235
-3200/69092 Loss: 138.492
-6400/69092 Loss: 138.328
-9600/69092 Loss: 139.536
-12800/69092 Loss: 138.059
-16000/69092 Loss: 136.499
-19200/69092 Loss: 139.865
-22400/69092 Loss: 137.590
-25600/69092 Loss: 138.390
-28800/69092 Loss: 138.681
-32000/69092 Loss: 138.109
-35200/69092 Loss: 141.501
-38400/69092 Loss: 137.944
-41600/69092 Loss: 137.168
-44800/69092 Loss: 137.908
-48000/69092 Loss: 138.282
-51200/69092 Loss: 136.059
-54400/69092 Loss: 137.297
-57600/69092 Loss: 140.392
-60800/69092 Loss: 134.949
-64000/69092 Loss: 137.993
-67200/69092 Loss: 137.138
-Training time 0:04:53.281922
-Epoch: 6 Average loss: 138.11
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 7)
-0/69092 Loss: 140.970
-3200/69092 Loss: 137.488
-6400/69092 Loss: 140.878
-9600/69092 Loss: 137.161
-12800/69092 Loss: 139.734
-16000/69092 Loss: 137.984
-19200/69092 Loss: 139.772
-22400/69092 Loss: 136.809
-25600/69092 Loss: 139.014
-28800/69092 Loss: 134.192
-32000/69092 Loss: 140.247
-35200/69092 Loss: 137.572
-38400/69092 Loss: 139.433
-41600/69092 Loss: 137.778
-44800/69092 Loss: 137.263
-48000/69092 Loss: 136.331
-51200/69092 Loss: 136.103
-54400/69092 Loss: 136.096
-57600/69092 Loss: 137.410
-60800/69092 Loss: 136.121
-64000/69092 Loss: 136.672
-67200/69092 Loss: 137.533
-Training time 0:04:53.955557
-Epoch: 7 Average loss: 137.61
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 8)
-0/69092 Loss: 125.774
-3200/69092 Loss: 139.187
-6400/69092 Loss: 136.501
-9600/69092 Loss: 137.414
-12800/69092 Loss: 135.825
-16000/69092 Loss: 137.348
-19200/69092 Loss: 137.275
-22400/69092 Loss: 136.744
-25600/69092 Loss: 137.035
-28800/69092 Loss: 137.127
-32000/69092 Loss: 134.687
-35200/69092 Loss: 138.643
-38400/69092 Loss: 138.699
-41600/69092 Loss: 134.890
-44800/69092 Loss: 137.422
-48000/69092 Loss: 136.792
-51200/69092 Loss: 137.172
-54400/69092 Loss: 132.974
-57600/69092 Loss: 137.482
-60800/69092 Loss: 138.539
-64000/69092 Loss: 137.681
-67200/69092 Loss: 137.094
-Training time 0:04:50.852102
-Epoch: 8 Average loss: 136.97
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 9)
-0/69092 Loss: 128.512
-3200/69092 Loss: 136.849
-6400/69092 Loss: 136.887
-9600/69092 Loss: 135.035
-12800/69092 Loss: 135.584
-16000/69092 Loss: 137.715
-19200/69092 Loss: 136.939
-22400/69092 Loss: 138.728
-25600/69092 Loss: 137.430
-28800/69092 Loss: 136.728
-32000/69092 Loss: 136.111
-35200/69092 Loss: 136.315
-38400/69092 Loss: 136.075
-41600/69092 Loss: 135.117
-44800/69092 Loss: 137.334
-48000/69092 Loss: 137.614
-51200/69092 Loss: 135.375
-54400/69092 Loss: 136.036
-57600/69092 Loss: 136.917
-60800/69092 Loss: 136.521
-64000/69092 Loss: 137.985
-67200/69092 Loss: 136.001
-Training time 0:04:53.617479
-Epoch: 9 Average loss: 136.62
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 10)
-0/69092 Loss: 116.711
-3200/69092 Loss: 139.440
-6400/69092 Loss: 135.457
-9600/69092 Loss: 138.314
-12800/69092 Loss: 134.946
-16000/69092 Loss: 133.214
-19200/69092 Loss: 136.892
-22400/69092 Loss: 136.203
-25600/69092 Loss: 137.560
-28800/69092 Loss: 138.216
-32000/69092 Loss: 136.824
-35200/69092 Loss: 138.758
-38400/69092 Loss: 135.570
-41600/69092 Loss: 137.090
-44800/69092 Loss: 134.380
-48000/69092 Loss: 135.627
-51200/69092 Loss: 135.116
-54400/69092 Loss: 135.653
-57600/69092 Loss: 135.568
-60800/69092 Loss: 135.086
-64000/69092 Loss: 137.637
-67200/69092 Loss: 135.876
-Training time 0:04:54.556594
-Epoch: 10 Average loss: 136.33
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 11)
-0/69092 Loss: 130.440
-3200/69092 Loss: 136.629
-6400/69092 Loss: 136.639
-9600/69092 Loss: 136.358
-12800/69092 Loss: 137.923
-16000/69092 Loss: 136.105
-19200/69092 Loss: 135.169
-22400/69092 Loss: 136.566
-25600/69092 Loss: 135.791
-28800/69092 Loss: 137.898
-32000/69092 Loss: 136.301
-35200/69092 Loss: 135.944
-38400/69092 Loss: 139.066
-41600/69092 Loss: 135.071
-44800/69092 Loss: 137.581
-48000/69092 Loss: 135.287
-51200/69092 Loss: 134.512
-54400/69092 Loss: 134.847
-57600/69092 Loss: 133.324
-60800/69092 Loss: 133.098
-64000/69092 Loss: 138.197
-67200/69092 Loss: 137.772
-Training time 0:04:52.905411
-Epoch: 11 Average loss: 136.22
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 12)
-0/69092 Loss: 142.560
-3200/69092 Loss: 138.019
-6400/69092 Loss: 137.816
-9600/69092 Loss: 136.478
-12800/69092 Loss: 134.968
-16000/69092 Loss: 134.737
-19200/69092 Loss: 134.154
-22400/69092 Loss: 134.689
-25600/69092 Loss: 136.335
-28800/69092 Loss: 136.210
-32000/69092 Loss: 134.062
-35200/69092 Loss: 137.574
-38400/69092 Loss: 134.143
-41600/69092 Loss: 135.749
-44800/69092 Loss: 137.421
-48000/69092 Loss: 136.107
-51200/69092 Loss: 136.956
-54400/69092 Loss: 135.313
-57600/69092 Loss: 134.547
-60800/69092 Loss: 137.678
-64000/69092 Loss: 137.972
-67200/69092 Loss: 136.143
-Training time 0:04:47.934248
-Epoch: 12 Average loss: 136.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 13)
-0/69092 Loss: 138.820
-3200/69092 Loss: 134.840
-6400/69092 Loss: 135.779
-9600/69092 Loss: 136.047
-12800/69092 Loss: 136.017
-16000/69092 Loss: 133.767
-19200/69092 Loss: 137.659
-22400/69092 Loss: 136.069
-25600/69092 Loss: 136.581
-28800/69092 Loss: 137.223
-32000/69092 Loss: 134.748
-35200/69092 Loss: 137.429
-38400/69092 Loss: 133.493
-41600/69092 Loss: 136.301
-44800/69092 Loss: 133.949
-48000/69092 Loss: 137.032
-51200/69092 Loss: 136.085
-54400/69092 Loss: 135.442
-57600/69092 Loss: 134.689
-60800/69092 Loss: 134.591
-64000/69092 Loss: 137.789
-67200/69092 Loss: 134.512
-Training time 0:04:49.043560
-Epoch: 13 Average loss: 135.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 14)
-0/69092 Loss: 138.798
-3200/69092 Loss: 136.422
-6400/69092 Loss: 135.985
-9600/69092 Loss: 133.135
-12800/69092 Loss: 134.340
-16000/69092 Loss: 136.762
-19200/69092 Loss: 136.748
-22400/69092 Loss: 134.862
-25600/69092 Loss: 135.796
-28800/69092 Loss: 136.190
-32000/69092 Loss: 134.759
-35200/69092 Loss: 131.705
-38400/69092 Loss: 136.131
-41600/69092 Loss: 136.145
-44800/69092 Loss: 134.797
-48000/69092 Loss: 137.117
-51200/69092 Loss: 134.780
-54400/69092 Loss: 134.688
-57600/69092 Loss: 135.539
-60800/69092 Loss: 135.482
-64000/69092 Loss: 135.210
-67200/69092 Loss: 138.155
-Training time 0:04:47.415866
-Epoch: 14 Average loss: 135.48
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 15)
-0/69092 Loss: 134.309
-3200/69092 Loss: 137.721
-6400/69092 Loss: 135.463
-9600/69092 Loss: 134.279
-12800/69092 Loss: 135.122
-16000/69092 Loss: 133.930
-19200/69092 Loss: 133.664
-22400/69092 Loss: 136.379
-25600/69092 Loss: 135.420
-28800/69092 Loss: 134.670
-32000/69092 Loss: 135.000
-35200/69092 Loss: 135.351
-38400/69092 Loss: 136.120
-41600/69092 Loss: 135.211
-44800/69092 Loss: 135.834
-48000/69092 Loss: 134.783
-51200/69092 Loss: 134.572
-54400/69092 Loss: 136.132
-57600/69092 Loss: 134.998
-60800/69092 Loss: 135.242
-64000/69092 Loss: 136.464
-67200/69092 Loss: 136.273
-Training time 0:04:50.106540
-Epoch: 15 Average loss: 135.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 16)
-0/69092 Loss: 135.949
-3200/69092 Loss: 134.864
-6400/69092 Loss: 134.832
-9600/69092 Loss: 133.051
-12800/69092 Loss: 133.823
-16000/69092 Loss: 133.778
-19200/69092 Loss: 135.979
-22400/69092 Loss: 136.273
-25600/69092 Loss: 135.099
-28800/69092 Loss: 134.681
-32000/69092 Loss: 135.605
-35200/69092 Loss: 138.182
-38400/69092 Loss: 136.193
-41600/69092 Loss: 136.388
-44800/69092 Loss: 135.354
-48000/69092 Loss: 137.457
-51200/69092 Loss: 133.089
-54400/69092 Loss: 135.397
-57600/69092 Loss: 133.427
-60800/69092 Loss: 135.073
-64000/69092 Loss: 136.909
-67200/69092 Loss: 134.642
-Training time 0:04:38.435256
-Epoch: 16 Average loss: 135.30
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 17)
-0/69092 Loss: 138.000
-3200/69092 Loss: 136.111
-6400/69092 Loss: 133.658
-9600/69092 Loss: 133.701
-12800/69092 Loss: 135.034
-16000/69092 Loss: 135.448
-19200/69092 Loss: 134.607
-22400/69092 Loss: 137.125
-25600/69092 Loss: 134.265
-28800/69092 Loss: 136.148
-32000/69092 Loss: 134.616
-35200/69092 Loss: 136.364
-38400/69092 Loss: 135.393
-41600/69092 Loss: 134.187
-44800/69092 Loss: 136.165
-48000/69092 Loss: 135.929
-51200/69092 Loss: 134.787
-54400/69092 Loss: 133.402
-57600/69092 Loss: 135.915
-60800/69092 Loss: 135.325
-64000/69092 Loss: 135.651
-67200/69092 Loss: 135.385
-Training time 0:04:41.886585
-Epoch: 17 Average loss: 135.25
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 18)
-0/69092 Loss: 143.136
-3200/69092 Loss: 135.909
-6400/69092 Loss: 134.992
-9600/69092 Loss: 133.596
-12800/69092 Loss: 135.802
-16000/69092 Loss: 134.036
-19200/69092 Loss: 133.975
-22400/69092 Loss: 136.420
-25600/69092 Loss: 135.745
-28800/69092 Loss: 133.899
-32000/69092 Loss: 136.081
-35200/69092 Loss: 135.021
-38400/69092 Loss: 135.222
-41600/69092 Loss: 134.817
-44800/69092 Loss: 135.857
-48000/69092 Loss: 136.124
-51200/69092 Loss: 133.457
-54400/69092 Loss: 133.075
-57600/69092 Loss: 134.068
-60800/69092 Loss: 136.092
-64000/69092 Loss: 133.002
-67200/69092 Loss: 134.536
-Training time 0:04:37.640146
-Epoch: 18 Average loss: 134.92
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 19)
-0/69092 Loss: 136.190
-3200/69092 Loss: 135.955
-6400/69092 Loss: 133.368
-9600/69092 Loss: 136.835
-12800/69092 Loss: 135.033
-16000/69092 Loss: 134.636
-19200/69092 Loss: 134.387
-22400/69092 Loss: 134.776
-25600/69092 Loss: 135.802
-28800/69092 Loss: 135.218
-32000/69092 Loss: 134.476
-35200/69092 Loss: 134.542
-38400/69092 Loss: 135.400
-41600/69092 Loss: 134.663
-44800/69092 Loss: 133.927
-48000/69092 Loss: 136.387
-51200/69092 Loss: 133.757
-54400/69092 Loss: 134.504
-57600/69092 Loss: 135.201
-60800/69092 Loss: 134.295
-64000/69092 Loss: 132.394
-67200/69092 Loss: 133.272
-Training time 0:04:33.461645
-Epoch: 19 Average loss: 134.74
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 20)
-0/69092 Loss: 141.672
-3200/69092 Loss: 136.147
-6400/69092 Loss: 134.504
-9600/69092 Loss: 135.077
-12800/69092 Loss: 132.699
-16000/69092 Loss: 135.500
-19200/69092 Loss: 132.953
-22400/69092 Loss: 134.542
-25600/69092 Loss: 135.023
-28800/69092 Loss: 135.674
-32000/69092 Loss: 133.153
-35200/69092 Loss: 133.527
-38400/69092 Loss: 135.516
-41600/69092 Loss: 135.942
-44800/69092 Loss: 134.288
-48000/69092 Loss: 134.031
-51200/69092 Loss: 137.359
-54400/69092 Loss: 133.247
-57600/69092 Loss: 135.630
-60800/69092 Loss: 134.472
-64000/69092 Loss: 134.720
-67200/69092 Loss: 135.098
-Training time 0:04:40.036596
-Epoch: 20 Average loss: 134.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 21)
-0/69092 Loss: 150.207
-3200/69092 Loss: 135.195
-6400/69092 Loss: 134.344
-9600/69092 Loss: 135.940
-12800/69092 Loss: 134.407
-16000/69092 Loss: 134.870
-19200/69092 Loss: 133.250
-22400/69092 Loss: 133.484
-25600/69092 Loss: 136.036
-28800/69092 Loss: 134.513
-32000/69092 Loss: 134.567
-35200/69092 Loss: 132.468
-38400/69092 Loss: 134.329
-41600/69092 Loss: 135.064
-44800/69092 Loss: 133.131
-48000/69092 Loss: 134.148
-51200/69092 Loss: 136.914
-54400/69092 Loss: 134.930
-57600/69092 Loss: 136.108
-60800/69092 Loss: 133.987
-64000/69092 Loss: 136.280
-67200/69092 Loss: 134.166
-Training time 0:04:39.091547
-Epoch: 21 Average loss: 134.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 22)
-0/69092 Loss: 119.053
-3200/69092 Loss: 135.355
-6400/69092 Loss: 135.607
-9600/69092 Loss: 136.246
-12800/69092 Loss: 134.407
-16000/69092 Loss: 131.474
-19200/69092 Loss: 134.511
-22400/69092 Loss: 134.013
-25600/69092 Loss: 133.152
-28800/69092 Loss: 132.573
-32000/69092 Loss: 135.316
-35200/69092 Loss: 134.359
-38400/69092 Loss: 135.460
-41600/69092 Loss: 135.286
-44800/69092 Loss: 134.391
-48000/69092 Loss: 135.731
-51200/69092 Loss: 137.241
-54400/69092 Loss: 136.328
-57600/69092 Loss: 132.285
-60800/69092 Loss: 135.411
-64000/69092 Loss: 134.402
-67200/69092 Loss: 134.102
-Training time 0:04:34.055154
-Epoch: 22 Average loss: 134.67
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 23)
-0/69092 Loss: 132.497
-3200/69092 Loss: 134.809
-6400/69092 Loss: 136.661
-9600/69092 Loss: 132.698
-12800/69092 Loss: 134.736
-16000/69092 Loss: 133.905
-19200/69092 Loss: 136.538
-22400/69092 Loss: 135.342
-25600/69092 Loss: 133.752
-28800/69092 Loss: 134.078
-32000/69092 Loss: 135.883
-35200/69092 Loss: 135.296
-38400/69092 Loss: 135.743
-41600/69092 Loss: 134.805
-44800/69092 Loss: 135.000
-48000/69092 Loss: 133.954
-51200/69092 Loss: 134.722
-54400/69092 Loss: 134.012
-57600/69092 Loss: 134.085
-60800/69092 Loss: 134.561
-64000/69092 Loss: 133.512
-67200/69092 Loss: 132.733
-Training time 0:04:39.774768
-Epoch: 23 Average loss: 134.59
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 24)
-0/69092 Loss: 139.944
-3200/69092 Loss: 131.760
-6400/69092 Loss: 136.860
-9600/69092 Loss: 136.123
-12800/69092 Loss: 135.383
-16000/69092 Loss: 135.544
-19200/69092 Loss: 135.580
-22400/69092 Loss: 135.211
-25600/69092 Loss: 131.185
-28800/69092 Loss: 132.956
-32000/69092 Loss: 134.480
-35200/69092 Loss: 135.644
-38400/69092 Loss: 134.626
-41600/69092 Loss: 132.784
-44800/69092 Loss: 133.034
-48000/69092 Loss: 135.432
-51200/69092 Loss: 136.171
-54400/69092 Loss: 134.883
-57600/69092 Loss: 136.160
-60800/69092 Loss: 133.469
-64000/69092 Loss: 133.819
-67200/69092 Loss: 134.401
-Training time 0:04:40.808800
-Epoch: 24 Average loss: 134.60
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 25)
-0/69092 Loss: 145.018
-3200/69092 Loss: 132.701
-6400/69092 Loss: 132.960
-9600/69092 Loss: 134.206
-12800/69092 Loss: 133.399
-16000/69092 Loss: 135.152
-19200/69092 Loss: 134.454
-22400/69092 Loss: 134.089
-25600/69092 Loss: 133.050
-28800/69092 Loss: 133.241
-32000/69092 Loss: 135.133
-35200/69092 Loss: 134.018
-38400/69092 Loss: 133.902
-41600/69092 Loss: 135.801
-44800/69092 Loss: 136.048
-48000/69092 Loss: 135.188
-51200/69092 Loss: 136.588
-54400/69092 Loss: 133.573
-57600/69092 Loss: 132.799
-60800/69092 Loss: 134.888
-64000/69092 Loss: 135.027
-67200/69092 Loss: 135.773
-Training time 0:04:44.718572
-Epoch: 25 Average loss: 134.40
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 26)
-0/69092 Loss: 127.012
-3200/69092 Loss: 134.702
-6400/69092 Loss: 136.845
-9600/69092 Loss: 134.568
-12800/69092 Loss: 133.714
-16000/69092 Loss: 135.752
-19200/69092 Loss: 133.098
-22400/69092 Loss: 136.472
-25600/69092 Loss: 134.800
-28800/69092 Loss: 133.131
-32000/69092 Loss: 132.874
-35200/69092 Loss: 133.481
-38400/69092 Loss: 134.428
-41600/69092 Loss: 135.679
-44800/69092 Loss: 134.405
-48000/69092 Loss: 134.641
-51200/69092 Loss: 134.593
-54400/69092 Loss: 134.779
-57600/69092 Loss: 134.973
-60800/69092 Loss: 132.792
-64000/69092 Loss: 132.360
-67200/69092 Loss: 132.379
-Training time 0:04:44.102291
-Epoch: 26 Average loss: 134.25
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 27)
-0/69092 Loss: 149.808
-3200/69092 Loss: 132.259
-6400/69092 Loss: 134.341
-9600/69092 Loss: 135.164
-12800/69092 Loss: 133.393
-16000/69092 Loss: 134.844
-19200/69092 Loss: 133.896
-22400/69092 Loss: 132.075
-25600/69092 Loss: 133.649
-28800/69092 Loss: 134.832
-32000/69092 Loss: 133.606
-35200/69092 Loss: 134.642
-38400/69092 Loss: 133.741
-41600/69092 Loss: 132.305
-44800/69092 Loss: 133.431
-48000/69092 Loss: 136.227
-51200/69092 Loss: 133.519
-54400/69092 Loss: 135.129
-57600/69092 Loss: 132.867
-60800/69092 Loss: 132.726
-64000/69092 Loss: 134.911
-67200/69092 Loss: 135.453
-Training time 0:04:44.718513
-Epoch: 27 Average loss: 133.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 28)
-0/69092 Loss: 140.091
-3200/69092 Loss: 133.067
-6400/69092 Loss: 135.230
-9600/69092 Loss: 133.767
-12800/69092 Loss: 133.414
-16000/69092 Loss: 132.176
-19200/69092 Loss: 134.166
-22400/69092 Loss: 135.205
-25600/69092 Loss: 136.393
-28800/69092 Loss: 132.047
-32000/69092 Loss: 131.969
-35200/69092 Loss: 133.022
-38400/69092 Loss: 134.558
-41600/69092 Loss: 133.753
-44800/69092 Loss: 134.982
-48000/69092 Loss: 136.384
-51200/69092 Loss: 133.967
-54400/69092 Loss: 132.168
-57600/69092 Loss: 134.359
-60800/69092 Loss: 136.309
-64000/69092 Loss: 134.633
-67200/69092 Loss: 135.702
-Training time 0:04:41.116094
-Epoch: 28 Average loss: 134.14
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 29)
-0/69092 Loss: 124.378
-3200/69092 Loss: 131.196
-6400/69092 Loss: 133.288
-9600/69092 Loss: 133.099
-12800/69092 Loss: 132.631
-16000/69092 Loss: 133.875
-19200/69092 Loss: 135.789
-22400/69092 Loss: 133.333
-25600/69092 Loss: 131.898
-28800/69092 Loss: 135.044
-32000/69092 Loss: 136.767
-35200/69092 Loss: 135.353
-38400/69092 Loss: 135.699
-41600/69092 Loss: 133.328
-44800/69092 Loss: 137.368
-48000/69092 Loss: 135.211
-51200/69092 Loss: 134.633
-54400/69092 Loss: 131.426
-57600/69092 Loss: 133.014
-60800/69092 Loss: 134.384
-64000/69092 Loss: 134.334
-67200/69092 Loss: 134.622
-Training time 0:04:43.813486
-Epoch: 29 Average loss: 134.17
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 30)
-0/69092 Loss: 135.568
-3200/69092 Loss: 134.305
-6400/69092 Loss: 132.871
-9600/69092 Loss: 132.481
-12800/69092 Loss: 134.599
-16000/69092 Loss: 131.658
-19200/69092 Loss: 135.084
-22400/69092 Loss: 132.367
-25600/69092 Loss: 135.661
-28800/69092 Loss: 132.998
-32000/69092 Loss: 135.432
-35200/69092 Loss: 136.519
-38400/69092 Loss: 133.184
-41600/69092 Loss: 136.257
-44800/69092 Loss: 136.150
-48000/69092 Loss: 131.348
-51200/69092 Loss: 132.628
-54400/69092 Loss: 134.070
-57600/69092 Loss: 133.399
-60800/69092 Loss: 133.182
-64000/69092 Loss: 135.141
-67200/69092 Loss: 133.544
-Training time 0:04:43.219094
-Epoch: 30 Average loss: 133.88
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 31)
-0/69092 Loss: 124.188
-3200/69092 Loss: 134.833
-6400/69092 Loss: 133.584
-9600/69092 Loss: 133.853
-12800/69092 Loss: 132.266
-16000/69092 Loss: 135.120
-19200/69092 Loss: 135.788
-22400/69092 Loss: 131.430
-25600/69092 Loss: 136.732
-28800/69092 Loss: 133.887
-32000/69092 Loss: 135.501
-35200/69092 Loss: 134.410
-38400/69092 Loss: 133.129
-41600/69092 Loss: 131.547
-44800/69092 Loss: 133.732
-48000/69092 Loss: 134.267
-51200/69092 Loss: 136.209
-54400/69092 Loss: 131.541
-57600/69092 Loss: 133.454
-60800/69092 Loss: 132.622
-64000/69092 Loss: 132.528
-67200/69092 Loss: 132.466
-Training time 0:04:48.333091
-Epoch: 31 Average loss: 133.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 32)
-0/69092 Loss: 129.738
-3200/69092 Loss: 134.777
-6400/69092 Loss: 135.615
-9600/69092 Loss: 132.873
-12800/69092 Loss: 135.517
-16000/69092 Loss: 132.053
-19200/69092 Loss: 133.392
-22400/69092 Loss: 136.432
-25600/69092 Loss: 134.465
-28800/69092 Loss: 136.804
-32000/69092 Loss: 131.439
-35200/69092 Loss: 135.418
-38400/69092 Loss: 133.925
-41600/69092 Loss: 135.465
-44800/69092 Loss: 131.826
-48000/69092 Loss: 134.965
-51200/69092 Loss: 132.440
-54400/69092 Loss: 134.992
-57600/69092 Loss: 135.859
-60800/69092 Loss: 130.496
-64000/69092 Loss: 132.862
-67200/69092 Loss: 134.359
-Training time 0:04:34.723577
-Epoch: 32 Average loss: 134.06
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 33)
-0/69092 Loss: 135.288
-3200/69092 Loss: 133.811
-6400/69092 Loss: 134.418
-9600/69092 Loss: 133.275
-12800/69092 Loss: 132.395
-16000/69092 Loss: 131.969
-19200/69092 Loss: 134.218
-22400/69092 Loss: 133.016
-25600/69092 Loss: 133.718
-28800/69092 Loss: 135.349
-32000/69092 Loss: 134.404
-35200/69092 Loss: 135.265
-38400/69092 Loss: 133.873
-41600/69092 Loss: 134.478
-44800/69092 Loss: 135.259
-48000/69092 Loss: 135.084
-51200/69092 Loss: 133.549
-54400/69092 Loss: 133.415
-57600/69092 Loss: 132.021
-60800/69092 Loss: 133.636
-64000/69092 Loss: 135.127
-67200/69092 Loss: 132.057
-Training time 0:04:44.494181
-Epoch: 33 Average loss: 133.83
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 34)
-0/69092 Loss: 142.448
-3200/69092 Loss: 133.348
-6400/69092 Loss: 136.045
-9600/69092 Loss: 135.147
-12800/69092 Loss: 133.005
-16000/69092 Loss: 133.364
-19200/69092 Loss: 133.808
-22400/69092 Loss: 130.967
-25600/69092 Loss: 134.049
-28800/69092 Loss: 132.894
-32000/69092 Loss: 131.265
-35200/69092 Loss: 132.280
-38400/69092 Loss: 134.631
-41600/69092 Loss: 134.471
-44800/69092 Loss: 133.223
-48000/69092 Loss: 133.106
-51200/69092 Loss: 135.413
-54400/69092 Loss: 133.348
-57600/69092 Loss: 135.116
-60800/69092 Loss: 131.990
-64000/69092 Loss: 132.751
-67200/69092 Loss: 135.112
-Training time 0:04:34.204443
-Epoch: 34 Average loss: 133.63
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 35)
-0/69092 Loss: 123.990
-3200/69092 Loss: 132.792
-6400/69092 Loss: 135.419
-9600/69092 Loss: 133.988
-12800/69092 Loss: 133.357
-16000/69092 Loss: 134.003
-19200/69092 Loss: 132.330
-22400/69092 Loss: 133.200
-25600/69092 Loss: 133.000
-28800/69092 Loss: 134.942
-32000/69092 Loss: 132.583
-35200/69092 Loss: 132.112
-38400/69092 Loss: 134.837
-41600/69092 Loss: 133.017
-44800/69092 Loss: 132.499
-48000/69092 Loss: 134.986
-51200/69092 Loss: 134.932
-54400/69092 Loss: 133.095
-57600/69092 Loss: 133.156
-60800/69092 Loss: 132.966
-64000/69092 Loss: 135.842
-67200/69092 Loss: 133.402
-Training time 0:04:42.218022
-Epoch: 35 Average loss: 133.62
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 36)
-0/69092 Loss: 133.238
-3200/69092 Loss: 134.758
-6400/69092 Loss: 133.690
-9600/69092 Loss: 134.546
-12800/69092 Loss: 134.473
-16000/69092 Loss: 133.391
-19200/69092 Loss: 132.560
-22400/69092 Loss: 134.921
-25600/69092 Loss: 132.042
-28800/69092 Loss: 131.305
-32000/69092 Loss: 133.672
-35200/69092 Loss: 134.956
-38400/69092 Loss: 134.512
-41600/69092 Loss: 135.354
-44800/69092 Loss: 131.522
-48000/69092 Loss: 136.540
-51200/69092 Loss: 133.360
-54400/69092 Loss: 133.874
-57600/69092 Loss: 133.071
-60800/69092 Loss: 133.754
-64000/69092 Loss: 135.372
-67200/69092 Loss: 131.328
-Training time 0:04:40.897872
-Epoch: 36 Average loss: 133.79
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 37)
-0/69092 Loss: 128.988
-3200/69092 Loss: 132.509
-6400/69092 Loss: 132.893
-9600/69092 Loss: 132.500
-12800/69092 Loss: 134.516
-16000/69092 Loss: 131.733
-19200/69092 Loss: 134.720
-22400/69092 Loss: 136.080
-25600/69092 Loss: 130.821
-28800/69092 Loss: 134.869
-32000/69092 Loss: 133.506
-35200/69092 Loss: 133.271
-38400/69092 Loss: 134.171
-41600/69092 Loss: 134.311
-44800/69092 Loss: 133.292
-48000/69092 Loss: 132.155
-51200/69092 Loss: 134.171
-54400/69092 Loss: 133.322
-57600/69092 Loss: 134.706
-60800/69092 Loss: 133.661
-64000/69092 Loss: 133.638
-67200/69092 Loss: 133.638
-Training time 0:04:38.412299
-Epoch: 37 Average loss: 133.46
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 38)
-0/69092 Loss: 124.622
-3200/69092 Loss: 132.056
-6400/69092 Loss: 135.011
-9600/69092 Loss: 133.184
-12800/69092 Loss: 133.030
-16000/69092 Loss: 133.174
-19200/69092 Loss: 133.255
-22400/69092 Loss: 133.345
-25600/69092 Loss: 135.452
-28800/69092 Loss: 133.048
-32000/69092 Loss: 133.322
-35200/69092 Loss: 135.453
-38400/69092 Loss: 133.312
-41600/69092 Loss: 134.087
-44800/69092 Loss: 132.115
-48000/69092 Loss: 135.058
-51200/69092 Loss: 134.513
-54400/69092 Loss: 131.484
-57600/69092 Loss: 133.567
-60800/69092 Loss: 135.834
-64000/69092 Loss: 134.272
-67200/69092 Loss: 129.925
-Training time 0:04:42.429171
-Epoch: 38 Average loss: 133.53
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 39)
-0/69092 Loss: 156.193
-3200/69092 Loss: 133.821
-6400/69092 Loss: 132.816
-9600/69092 Loss: 130.703
-12800/69092 Loss: 134.637
-16000/69092 Loss: 136.554
-19200/69092 Loss: 135.034
-22400/69092 Loss: 132.533
-25600/69092 Loss: 133.841
-28800/69092 Loss: 133.199
-32000/69092 Loss: 133.368
-35200/69092 Loss: 133.641
-38400/69092 Loss: 133.051
-41600/69092 Loss: 129.854
-44800/69092 Loss: 133.528
-48000/69092 Loss: 134.050
-51200/69092 Loss: 133.928
-54400/69092 Loss: 135.090
-57600/69092 Loss: 132.527
-60800/69092 Loss: 131.953
-64000/69092 Loss: 136.588
-67200/69092 Loss: 133.985
-Training time 0:04:45.375654
-Epoch: 39 Average loss: 133.62
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 40)
-0/69092 Loss: 121.759
-3200/69092 Loss: 135.346
-6400/69092 Loss: 132.908
-9600/69092 Loss: 132.013
-12800/69092 Loss: 134.725
-16000/69092 Loss: 132.235
-19200/69092 Loss: 130.104
-22400/69092 Loss: 132.965
-25600/69092 Loss: 133.479
-28800/69092 Loss: 135.865
-32000/69092 Loss: 131.262
-35200/69092 Loss: 134.122
-38400/69092 Loss: 134.475
-41600/69092 Loss: 134.452
-44800/69092 Loss: 134.810
-48000/69092 Loss: 136.456
-51200/69092 Loss: 133.344
-54400/69092 Loss: 134.291
-57600/69092 Loss: 131.519
-60800/69092 Loss: 134.138
-64000/69092 Loss: 134.223
-67200/69092 Loss: 133.954
-Training time 0:04:48.930774
-Epoch: 40 Average loss: 133.73
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 41)
-0/69092 Loss: 144.336
-3200/69092 Loss: 133.839
-6400/69092 Loss: 133.075
-9600/69092 Loss: 132.904
-12800/69092 Loss: 134.981
-16000/69092 Loss: 133.528
-19200/69092 Loss: 133.937
-22400/69092 Loss: 131.403
-25600/69092 Loss: 134.301
-28800/69092 Loss: 131.515
-32000/69092 Loss: 134.074
-35200/69092 Loss: 133.805
-38400/69092 Loss: 133.653
-41600/69092 Loss: 134.400
-44800/69092 Loss: 132.125
-48000/69092 Loss: 133.792
-51200/69092 Loss: 132.654
-54400/69092 Loss: 132.679
-57600/69092 Loss: 134.043
-60800/69092 Loss: 134.716
-64000/69092 Loss: 136.102
-67200/69092 Loss: 132.645
-Training time 0:04:47.339056
-Epoch: 41 Average loss: 133.54
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 42)
-0/69092 Loss: 132.451
-3200/69092 Loss: 135.299
-6400/69092 Loss: 131.848
-9600/69092 Loss: 133.216
-12800/69092 Loss: 132.636
-16000/69092 Loss: 132.065
-19200/69092 Loss: 133.161
-22400/69092 Loss: 133.787
-25600/69092 Loss: 133.244
-28800/69092 Loss: 132.750
-32000/69092 Loss: 132.239
-35200/69092 Loss: 133.696
-38400/69092 Loss: 129.928
-41600/69092 Loss: 134.737
-44800/69092 Loss: 133.275
-48000/69092 Loss: 135.322
-51200/69092 Loss: 132.460
-54400/69092 Loss: 134.073
-57600/69092 Loss: 133.371
-60800/69092 Loss: 135.080
-64000/69092 Loss: 133.444
-67200/69092 Loss: 131.956
-Training time 0:04:43.830576
-Epoch: 42 Average loss: 133.21
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 43)
-0/69092 Loss: 135.158
-3200/69092 Loss: 132.319
-6400/69092 Loss: 134.570
-9600/69092 Loss: 132.404
-12800/69092 Loss: 134.118
-16000/69092 Loss: 134.321
-19200/69092 Loss: 134.189
-22400/69092 Loss: 134.232
-25600/69092 Loss: 131.641
-28800/69092 Loss: 132.989
-32000/69092 Loss: 135.760
-35200/69092 Loss: 133.028
-38400/69092 Loss: 132.821
-41600/69092 Loss: 132.379
-44800/69092 Loss: 132.276
-48000/69092 Loss: 132.132
-51200/69092 Loss: 132.759
-54400/69092 Loss: 133.374
-57600/69092 Loss: 132.124
-60800/69092 Loss: 133.663
-64000/69092 Loss: 135.621
-67200/69092 Loss: 133.664
-Training time 0:04:50.468097
-Epoch: 43 Average loss: 133.35
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 44)
-0/69092 Loss: 139.048
-3200/69092 Loss: 133.552
-6400/69092 Loss: 133.540
-9600/69092 Loss: 133.927
-12800/69092 Loss: 132.372
-16000/69092 Loss: 134.623
-19200/69092 Loss: 132.679
-22400/69092 Loss: 132.230
-25600/69092 Loss: 136.383
-28800/69092 Loss: 135.167
-32000/69092 Loss: 134.343
-35200/69092 Loss: 132.917
-38400/69092 Loss: 134.341
-41600/69092 Loss: 132.956
-44800/69092 Loss: 131.317
-48000/69092 Loss: 133.880
-51200/69092 Loss: 131.834
-54400/69092 Loss: 131.631
-57600/69092 Loss: 133.360
-60800/69092 Loss: 134.007
-64000/69092 Loss: 134.175
-67200/69092 Loss: 132.231
-Training time 0:04:50.108150
-Epoch: 44 Average loss: 133.36
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 45)
-0/69092 Loss: 135.992
-3200/69092 Loss: 131.969
-6400/69092 Loss: 132.230
-9600/69092 Loss: 133.682
-12800/69092 Loss: 132.256
-16000/69092 Loss: 133.592
-19200/69092 Loss: 132.326
-22400/69092 Loss: 134.299
-25600/69092 Loss: 135.507
-28800/69092 Loss: 132.121
-32000/69092 Loss: 132.063
-35200/69092 Loss: 133.704
-38400/69092 Loss: 132.375
-41600/69092 Loss: 132.320
-44800/69092 Loss: 133.848
-48000/69092 Loss: 134.989
-51200/69092 Loss: 133.256
-54400/69092 Loss: 133.317
-57600/69092 Loss: 134.129
-60800/69092 Loss: 134.256
-64000/69092 Loss: 133.321
-67200/69092 Loss: 132.003
-Training time 0:04:53.508367
-Epoch: 45 Average loss: 133.26
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 46)
-0/69092 Loss: 130.517
-3200/69092 Loss: 132.984
-6400/69092 Loss: 131.636
-9600/69092 Loss: 131.881
-12800/69092 Loss: 132.526
-16000/69092 Loss: 134.043
-19200/69092 Loss: 133.470
-22400/69092 Loss: 132.409
-25600/69092 Loss: 131.709
-28800/69092 Loss: 132.902
-32000/69092 Loss: 134.319
-35200/69092 Loss: 136.253
-38400/69092 Loss: 134.041
-41600/69092 Loss: 130.727
-44800/69092 Loss: 133.832
-48000/69092 Loss: 132.790
-51200/69092 Loss: 132.107
-54400/69092 Loss: 132.977
-57600/69092 Loss: 134.921
-60800/69092 Loss: 133.574
-64000/69092 Loss: 134.376
-67200/69092 Loss: 133.520
-Training time 0:04:42.061703
-Epoch: 46 Average loss: 133.20
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 47)
-0/69092 Loss: 133.775
-3200/69092 Loss: 133.730
-6400/69092 Loss: 131.377
-9600/69092 Loss: 131.189
-12800/69092 Loss: 130.373
-16000/69092 Loss: 134.994
-19200/69092 Loss: 132.828
-22400/69092 Loss: 132.458
-25600/69092 Loss: 132.872
-28800/69092 Loss: 133.617
-32000/69092 Loss: 133.669
-35200/69092 Loss: 133.018
-38400/69092 Loss: 131.874
-41600/69092 Loss: 133.839
-44800/69092 Loss: 132.748
-48000/69092 Loss: 136.165
-51200/69092 Loss: 132.377
-54400/69092 Loss: 133.373
-57600/69092 Loss: 132.232
-60800/69092 Loss: 132.530
-64000/69092 Loss: 135.841
-67200/69092 Loss: 132.767
-Training time 0:04:47.580389
-Epoch: 47 Average loss: 133.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 48)
-0/69092 Loss: 128.723
-3200/69092 Loss: 130.819
-6400/69092 Loss: 133.273
-9600/69092 Loss: 134.754
-12800/69092 Loss: 132.760
-16000/69092 Loss: 134.709
-19200/69092 Loss: 134.013
-22400/69092 Loss: 134.015
-25600/69092 Loss: 132.572
-28800/69092 Loss: 134.936
-32000/69092 Loss: 132.879
-35200/69092 Loss: 131.608
-38400/69092 Loss: 132.359
-41600/69092 Loss: 132.794
-44800/69092 Loss: 131.539
-48000/69092 Loss: 133.287
-51200/69092 Loss: 132.672
-54400/69092 Loss: 131.857
-57600/69092 Loss: 132.390
-60800/69092 Loss: 132.856
-64000/69092 Loss: 135.911
-67200/69092 Loss: 133.497
-Training time 0:04:49.268835
-Epoch: 48 Average loss: 133.10
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 49)
-0/69092 Loss: 129.483
-3200/69092 Loss: 133.579
-6400/69092 Loss: 134.122
-9600/69092 Loss: 132.421
-12800/69092 Loss: 132.922
-16000/69092 Loss: 133.830
-19200/69092 Loss: 135.214
-22400/69092 Loss: 134.288
-25600/69092 Loss: 132.616
-28800/69092 Loss: 131.659
-32000/69092 Loss: 134.710
-35200/69092 Loss: 131.626
-38400/69092 Loss: 131.865
-41600/69092 Loss: 131.776
-44800/69092 Loss: 135.127
-48000/69092 Loss: 132.649
-51200/69092 Loss: 132.262
-54400/69092 Loss: 134.266
-57600/69092 Loss: 131.577
-60800/69092 Loss: 133.486
-64000/69092 Loss: 132.942
-67200/69092 Loss: 134.161
-Training time 0:04:49.351053
-Epoch: 49 Average loss: 133.16
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 50)
-0/69092 Loss: 147.384
-3200/69092 Loss: 133.079
-6400/69092 Loss: 134.019
-9600/69092 Loss: 133.171
-12800/69092 Loss: 132.717
-16000/69092 Loss: 134.023
-19200/69092 Loss: 134.378
-22400/69092 Loss: 133.032
-25600/69092 Loss: 132.334
-28800/69092 Loss: 132.942
-32000/69092 Loss: 134.698
-35200/69092 Loss: 133.306
-38400/69092 Loss: 130.680
-41600/69092 Loss: 131.174
-44800/69092 Loss: 133.474
-48000/69092 Loss: 130.451
-51200/69092 Loss: 135.306
-54400/69092 Loss: 132.507
-57600/69092 Loss: 132.798
-60800/69092 Loss: 131.816
-64000/69092 Loss: 133.174
-67200/69092 Loss: 133.875
-Training time 0:04:41.682554
-Epoch: 50 Average loss: 133.05
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 51)
-0/69092 Loss: 136.488
-3200/69092 Loss: 135.509
-6400/69092 Loss: 131.770
-9600/69092 Loss: 135.026
-12800/69092 Loss: 131.669
-16000/69092 Loss: 131.227
-19200/69092 Loss: 132.927
-22400/69092 Loss: 131.692
-25600/69092 Loss: 132.917
-28800/69092 Loss: 133.707
-32000/69092 Loss: 131.803
-35200/69092 Loss: 134.959
-38400/69092 Loss: 133.376
-41600/69092 Loss: 130.779
-44800/69092 Loss: 133.152
-48000/69092 Loss: 132.008
-51200/69092 Loss: 133.650
-54400/69092 Loss: 133.612
-57600/69092 Loss: 135.377
-60800/69092 Loss: 131.977
-64000/69092 Loss: 132.687
-67200/69092 Loss: 132.218
-Training time 0:04:52.903941
-Epoch: 51 Average loss: 132.99
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 52)
-0/69092 Loss: 128.212
-3200/69092 Loss: 132.653
-6400/69092 Loss: 132.919
-9600/69092 Loss: 133.486
-12800/69092 Loss: 131.899
-16000/69092 Loss: 134.405
-19200/69092 Loss: 132.317
-22400/69092 Loss: 133.405
-25600/69092 Loss: 132.550
-28800/69092 Loss: 133.849
-32000/69092 Loss: 132.646
-35200/69092 Loss: 136.405
-38400/69092 Loss: 131.433
-41600/69092 Loss: 133.545
-44800/69092 Loss: 132.170
-48000/69092 Loss: 134.529
-51200/69092 Loss: 133.212
-54400/69092 Loss: 131.058
-57600/69092 Loss: 134.522
-60800/69092 Loss: 132.641
-64000/69092 Loss: 131.853
-67200/69092 Loss: 132.450
-Training time 0:04:49.937765
-Epoch: 52 Average loss: 133.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 53)
-0/69092 Loss: 154.664
-3200/69092 Loss: 131.569
-6400/69092 Loss: 133.267
-9600/69092 Loss: 131.108
-12800/69092 Loss: 134.072
-16000/69092 Loss: 130.141
-19200/69092 Loss: 135.100
-22400/69092 Loss: 133.228
-25600/69092 Loss: 133.742
-28800/69092 Loss: 133.085
-32000/69092 Loss: 134.728
-35200/69092 Loss: 134.777
-38400/69092 Loss: 134.701
-41600/69092 Loss: 132.244
-44800/69092 Loss: 135.134
-48000/69092 Loss: 131.380
-51200/69092 Loss: 131.166
-54400/69092 Loss: 133.751
-57600/69092 Loss: 130.564
-60800/69092 Loss: 132.434
-64000/69092 Loss: 133.248
-67200/69092 Loss: 134.456
-Training time 0:04:55.322000
-Epoch: 53 Average loss: 133.13
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 54)
-0/69092 Loss: 121.583
-3200/69092 Loss: 133.230
-6400/69092 Loss: 136.075
-9600/69092 Loss: 132.229
-12800/69092 Loss: 133.163
-16000/69092 Loss: 132.531
-19200/69092 Loss: 133.423
-22400/69092 Loss: 133.894
-25600/69092 Loss: 132.111
-28800/69092 Loss: 132.092
-32000/69092 Loss: 134.509
-35200/69092 Loss: 132.290
-38400/69092 Loss: 131.369
-41600/69092 Loss: 132.263
-44800/69092 Loss: 132.489
-48000/69092 Loss: 132.776
-51200/69092 Loss: 133.100
-54400/69092 Loss: 133.091
-57600/69092 Loss: 134.334
-60800/69092 Loss: 133.931
-64000/69092 Loss: 134.194
-67200/69092 Loss: 133.505
-Training time 0:04:50.053210
-Epoch: 54 Average loss: 133.15
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 55)
-0/69092 Loss: 139.116
-3200/69092 Loss: 132.280
-6400/69092 Loss: 131.085
-9600/69092 Loss: 133.199
-12800/69092 Loss: 131.715
-16000/69092 Loss: 134.194
-19200/69092 Loss: 133.526
-22400/69092 Loss: 134.003
-25600/69092 Loss: 132.579
-28800/69092 Loss: 130.548
-32000/69092 Loss: 130.813
-35200/69092 Loss: 133.355
-38400/69092 Loss: 133.445
-41600/69092 Loss: 131.297
-44800/69092 Loss: 133.953
-48000/69092 Loss: 132.609
-51200/69092 Loss: 134.504
-54400/69092 Loss: 132.477
-57600/69092 Loss: 134.692
-60800/69092 Loss: 134.461
-64000/69092 Loss: 132.301
-67200/69092 Loss: 131.675
-Training time 0:04:50.185496
-Epoch: 55 Average loss: 132.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 56)
-0/69092 Loss: 139.767
-3200/69092 Loss: 130.033
-6400/69092 Loss: 136.771
-9600/69092 Loss: 133.974
-12800/69092 Loss: 134.293
-16000/69092 Loss: 135.151
-19200/69092 Loss: 133.709
-22400/69092 Loss: 134.872
-25600/69092 Loss: 132.963
-28800/69092 Loss: 132.037
-32000/69092 Loss: 134.976
-35200/69092 Loss: 134.066
-38400/69092 Loss: 133.453
-41600/69092 Loss: 131.751
-44800/69092 Loss: 132.321
-48000/69092 Loss: 131.545
-51200/69092 Loss: 132.053
-54400/69092 Loss: 133.989
-57600/69092 Loss: 129.672
-60800/69092 Loss: 131.938
-64000/69092 Loss: 132.031
-67200/69092 Loss: 131.946
-Training time 0:04:42.928901
-Epoch: 56 Average loss: 133.01
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 57)
-0/69092 Loss: 144.037
-3200/69092 Loss: 132.071
-6400/69092 Loss: 132.160
-9600/69092 Loss: 134.628
-12800/69092 Loss: 129.619
-16000/69092 Loss: 131.743
-19200/69092 Loss: 134.225
-22400/69092 Loss: 132.648
-25600/69092 Loss: 130.468
-28800/69092 Loss: 130.525
-32000/69092 Loss: 136.156
-35200/69092 Loss: 134.091
-38400/69092 Loss: 131.885
-41600/69092 Loss: 133.657
-44800/69092 Loss: 134.782
-48000/69092 Loss: 131.491
-51200/69092 Loss: 133.445
-54400/69092 Loss: 133.638
-57600/69092 Loss: 133.323
-60800/69092 Loss: 134.983
-64000/69092 Loss: 133.721
-67200/69092 Loss: 131.053
-Training time 0:04:40.165173
-Epoch: 57 Average loss: 132.86
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 58)
-0/69092 Loss: 129.738
-3200/69092 Loss: 132.425
-6400/69092 Loss: 131.857
-9600/69092 Loss: 135.928
-12800/69092 Loss: 135.517
-16000/69092 Loss: 132.770
-19200/69092 Loss: 131.028
-22400/69092 Loss: 133.902
-25600/69092 Loss: 133.489
-28800/69092 Loss: 134.372
-32000/69092 Loss: 132.467
-35200/69092 Loss: 131.959
-38400/69092 Loss: 134.314
-41600/69092 Loss: 131.457
-44800/69092 Loss: 132.516
-48000/69092 Loss: 131.558
-51200/69092 Loss: 133.222
-54400/69092 Loss: 132.404
-57600/69092 Loss: 130.771
-60800/69092 Loss: 133.937
-64000/69092 Loss: 132.910
-67200/69092 Loss: 133.500
-Training time 0:04:42.612048
-Epoch: 58 Average loss: 132.91
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 59)
-0/69092 Loss: 122.984
-3200/69092 Loss: 132.611
-6400/69092 Loss: 135.339
-9600/69092 Loss: 131.863
-12800/69092 Loss: 133.527
-16000/69092 Loss: 130.291
-19200/69092 Loss: 133.049
-22400/69092 Loss: 135.233
-25600/69092 Loss: 132.212
-28800/69092 Loss: 134.731
-32000/69092 Loss: 130.560
-35200/69092 Loss: 134.372
-38400/69092 Loss: 131.422
-41600/69092 Loss: 130.815
-44800/69092 Loss: 131.701
-48000/69092 Loss: 131.929
-51200/69092 Loss: 135.147
-54400/69092 Loss: 132.449
-57600/69092 Loss: 133.829
-60800/69092 Loss: 133.501
-64000/69092 Loss: 133.877
-67200/69092 Loss: 129.602
-Training time 0:04:37.324057
-Epoch: 59 Average loss: 132.82
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 60)
-0/69092 Loss: 122.513
-3200/69092 Loss: 134.482
-6400/69092 Loss: 132.177
-9600/69092 Loss: 133.577
-12800/69092 Loss: 133.506
-16000/69092 Loss: 133.168
-19200/69092 Loss: 133.895
-22400/69092 Loss: 133.565
-25600/69092 Loss: 131.319
-28800/69092 Loss: 130.678
-32000/69092 Loss: 131.773
-35200/69092 Loss: 135.546
-38400/69092 Loss: 133.470
-41600/69092 Loss: 133.065
-44800/69092 Loss: 133.927
-48000/69092 Loss: 132.890
-51200/69092 Loss: 130.915
-54400/69092 Loss: 131.842
-57600/69092 Loss: 129.366
-60800/69092 Loss: 131.157
-64000/69092 Loss: 133.777
-67200/69092 Loss: 132.089
-Training time 0:04:40.821442
-Epoch: 60 Average loss: 132.78
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 61)
-0/69092 Loss: 149.925
-3200/69092 Loss: 134.578
-6400/69092 Loss: 133.580
-9600/69092 Loss: 132.310
-12800/69092 Loss: 134.810
-16000/69092 Loss: 134.253
-19200/69092 Loss: 133.320
-22400/69092 Loss: 131.336
-25600/69092 Loss: 134.131
-28800/69092 Loss: 131.634
-32000/69092 Loss: 134.895
-35200/69092 Loss: 130.358
-38400/69092 Loss: 134.110
-41600/69092 Loss: 132.002
-44800/69092 Loss: 131.523
-48000/69092 Loss: 129.541
-51200/69092 Loss: 131.935
-54400/69092 Loss: 133.334
-57600/69092 Loss: 131.391
-60800/69092 Loss: 132.812
-64000/69092 Loss: 133.295
-67200/69092 Loss: 131.466
-Training time 0:04:44.859402
-Epoch: 61 Average loss: 132.78
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 62)
-0/69092 Loss: 131.649
-3200/69092 Loss: 130.858
-6400/69092 Loss: 131.698
-9600/69092 Loss: 130.840
-12800/69092 Loss: 134.111
-16000/69092 Loss: 135.759
-19200/69092 Loss: 134.759
-22400/69092 Loss: 133.252
-25600/69092 Loss: 131.654
-28800/69092 Loss: 132.767
-32000/69092 Loss: 133.286
-35200/69092 Loss: 133.181
-38400/69092 Loss: 131.110
-41600/69092 Loss: 130.842
-44800/69092 Loss: 131.715
-48000/69092 Loss: 130.865
-51200/69092 Loss: 132.387
-54400/69092 Loss: 131.835
-57600/69092 Loss: 134.237
-60800/69092 Loss: 133.573
-64000/69092 Loss: 132.774
-67200/69092 Loss: 132.712
-Training time 0:04:41.388189
-Epoch: 62 Average loss: 132.67
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 63)
-0/69092 Loss: 128.223
-3200/69092 Loss: 131.041
-6400/69092 Loss: 133.689
-9600/69092 Loss: 133.526
-12800/69092 Loss: 134.404
-16000/69092 Loss: 133.655
-19200/69092 Loss: 130.344
-22400/69092 Loss: 133.791
-25600/69092 Loss: 132.568
-28800/69092 Loss: 131.957
-32000/69092 Loss: 131.541
-35200/69092 Loss: 132.421
-38400/69092 Loss: 133.257
-41600/69092 Loss: 132.507
-44800/69092 Loss: 135.825
-48000/69092 Loss: 132.617
-51200/69092 Loss: 132.709
-54400/69092 Loss: 131.571
-57600/69092 Loss: 132.242
-60800/69092 Loss: 132.903
-64000/69092 Loss: 131.835
-67200/69092 Loss: 133.631
-Training time 0:04:49.618462
-Epoch: 63 Average loss: 132.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 64)
-0/69092 Loss: 141.970
-3200/69092 Loss: 132.906
-6400/69092 Loss: 131.589
-9600/69092 Loss: 132.945
-12800/69092 Loss: 131.993
-16000/69092 Loss: 133.720
-19200/69092 Loss: 131.937
-22400/69092 Loss: 133.572
-25600/69092 Loss: 133.384
-28800/69092 Loss: 132.476
-32000/69092 Loss: 134.767
-35200/69092 Loss: 130.999
-38400/69092 Loss: 133.096
-41600/69092 Loss: 132.213
-44800/69092 Loss: 134.635
-48000/69092 Loss: 133.338
-51200/69092 Loss: 131.336
-54400/69092 Loss: 132.595
-57600/69092 Loss: 130.424
-60800/69092 Loss: 133.307
-64000/69092 Loss: 130.981
-67200/69092 Loss: 134.853
-Training time 0:04:49.486074
-Epoch: 64 Average loss: 132.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 65)
-0/69092 Loss: 142.410
-3200/69092 Loss: 132.879
-6400/69092 Loss: 131.708
-9600/69092 Loss: 134.260
-12800/69092 Loss: 134.587
-16000/69092 Loss: 132.342
-19200/69092 Loss: 132.129
-22400/69092 Loss: 133.000
-25600/69092 Loss: 132.074
-28800/69092 Loss: 131.301
-32000/69092 Loss: 134.566
-35200/69092 Loss: 131.667
-38400/69092 Loss: 133.092
-41600/69092 Loss: 131.948
-44800/69092 Loss: 133.808
-48000/69092 Loss: 131.241
-51200/69092 Loss: 135.670
-54400/69092 Loss: 132.278
-57600/69092 Loss: 132.134
-60800/69092 Loss: 130.886
-64000/69092 Loss: 135.610
-67200/69092 Loss: 133.141
-Training time 0:04:50.348031
-Epoch: 65 Average loss: 132.85
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 66)
-0/69092 Loss: 139.822
-3200/69092 Loss: 130.727
-6400/69092 Loss: 132.551
-9600/69092 Loss: 134.175
-12800/69092 Loss: 133.198
-16000/69092 Loss: 132.715
-19200/69092 Loss: 130.373
-22400/69092 Loss: 133.920
-25600/69092 Loss: 132.062
-28800/69092 Loss: 133.211
-32000/69092 Loss: 133.075
-35200/69092 Loss: 130.958
-38400/69092 Loss: 131.023
-41600/69092 Loss: 135.211
-44800/69092 Loss: 132.886
-48000/69092 Loss: 133.733
-51200/69092 Loss: 133.364
-54400/69092 Loss: 132.806
-57600/69092 Loss: 133.334
-60800/69092 Loss: 132.378
-64000/69092 Loss: 131.962
-67200/69092 Loss: 133.470
-Training time 0:04:49.848154
-Epoch: 66 Average loss: 132.76
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 67)
-0/69092 Loss: 122.181
-3200/69092 Loss: 132.670
-6400/69092 Loss: 131.164
-9600/69092 Loss: 133.716
-12800/69092 Loss: 133.805
-16000/69092 Loss: 132.016
-19200/69092 Loss: 133.238
-22400/69092 Loss: 131.701
-25600/69092 Loss: 133.658
-28800/69092 Loss: 134.396
-32000/69092 Loss: 134.192
-35200/69092 Loss: 133.033
-38400/69092 Loss: 132.378
-41600/69092 Loss: 134.240
-44800/69092 Loss: 132.282
-48000/69092 Loss: 134.094
-51200/69092 Loss: 132.881
-54400/69092 Loss: 131.479
-57600/69092 Loss: 129.058
-60800/69092 Loss: 132.371
-64000/69092 Loss: 132.129
-67200/69092 Loss: 132.735
-Training time 0:04:51.138665
-Epoch: 67 Average loss: 132.72
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 68)
-0/69092 Loss: 124.340
-3200/69092 Loss: 130.412
-6400/69092 Loss: 132.574
-9600/69092 Loss: 130.767
-12800/69092 Loss: 131.837
-16000/69092 Loss: 134.062
-19200/69092 Loss: 132.242
-22400/69092 Loss: 133.401
-25600/69092 Loss: 131.134
-28800/69092 Loss: 132.820
-32000/69092 Loss: 132.169
-35200/69092 Loss: 131.609
-38400/69092 Loss: 134.158
-41600/69092 Loss: 132.800
-44800/69092 Loss: 134.012
-48000/69092 Loss: 133.530
-51200/69092 Loss: 132.636
-54400/69092 Loss: 132.712
-57600/69092 Loss: 131.364
-60800/69092 Loss: 132.467
-64000/69092 Loss: 135.751
-67200/69092 Loss: 133.907
-Training time 0:04:43.856306
-Epoch: 68 Average loss: 132.75
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 69)
-0/69092 Loss: 131.655
-3200/69092 Loss: 133.725
-6400/69092 Loss: 130.032
-9600/69092 Loss: 132.432
-12800/69092 Loss: 133.568
-16000/69092 Loss: 135.816
-19200/69092 Loss: 131.504
-22400/69092 Loss: 133.019
-25600/69092 Loss: 130.538
-28800/69092 Loss: 134.134
-32000/69092 Loss: 131.309
-35200/69092 Loss: 131.254
-38400/69092 Loss: 133.626
-41600/69092 Loss: 134.476
-44800/69092 Loss: 134.004
-48000/69092 Loss: 132.131
-51200/69092 Loss: 133.296
-54400/69092 Loss: 132.150
-57600/69092 Loss: 134.057
-60800/69092 Loss: 132.065
-64000/69092 Loss: 133.015
-67200/69092 Loss: 130.422
-Training time 0:04:53.279530
-Epoch: 69 Average loss: 132.66
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 70)
-0/69092 Loss: 125.589
-3200/69092 Loss: 131.118
-6400/69092 Loss: 132.382
-9600/69092 Loss: 133.215
-12800/69092 Loss: 130.796
-16000/69092 Loss: 135.467
-19200/69092 Loss: 132.306
-22400/69092 Loss: 134.098
-25600/69092 Loss: 130.094
-28800/69092 Loss: 132.910
-32000/69092 Loss: 131.109
-35200/69092 Loss: 132.451
-38400/69092 Loss: 131.878
-41600/69092 Loss: 133.722
-44800/69092 Loss: 132.581
-48000/69092 Loss: 133.228
-51200/69092 Loss: 132.824
-54400/69092 Loss: 133.179
-57600/69092 Loss: 132.546
-60800/69092 Loss: 133.130
-64000/69092 Loss: 133.600
-67200/69092 Loss: 133.109
-Training time 0:04:51.803614
-Epoch: 70 Average loss: 132.67
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 71)
-0/69092 Loss: 117.361
-3200/69092 Loss: 134.069
-6400/69092 Loss: 132.470
-9600/69092 Loss: 133.053
-12800/69092 Loss: 132.501
-16000/69092 Loss: 132.771
-19200/69092 Loss: 133.054
-22400/69092 Loss: 134.746
-25600/69092 Loss: 129.443
-28800/69092 Loss: 132.636
-32000/69092 Loss: 130.268
-35200/69092 Loss: 133.105
-38400/69092 Loss: 132.794
-41600/69092 Loss: 133.814
-44800/69092 Loss: 130.128
-48000/69092 Loss: 131.660
-51200/69092 Loss: 134.778
-54400/69092 Loss: 132.476
-57600/69092 Loss: 133.365
-60800/69092 Loss: 133.058
-64000/69092 Loss: 134.067
-67200/69092 Loss: 132.029
-Training time 0:04:55.168694
-Epoch: 71 Average loss: 132.62
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 72)
-0/69092 Loss: 136.164
-3200/69092 Loss: 131.908
-6400/69092 Loss: 133.864
-9600/69092 Loss: 132.912
-12800/69092 Loss: 132.428
-16000/69092 Loss: 131.046
-19200/69092 Loss: 133.465
-22400/69092 Loss: 132.551
-25600/69092 Loss: 134.417
-28800/69092 Loss: 132.658
-32000/69092 Loss: 130.542
-35200/69092 Loss: 131.479
-38400/69092 Loss: 133.827
-41600/69092 Loss: 132.156
-44800/69092 Loss: 131.939
-48000/69092 Loss: 132.566
-51200/69092 Loss: 132.774
-54400/69092 Loss: 132.511
-57600/69092 Loss: 135.735
-60800/69092 Loss: 133.289
-64000/69092 Loss: 131.164
-67200/69092 Loss: 133.477
-Training time 0:04:51.320410
-Epoch: 72 Average loss: 132.64
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 73)
-0/69092 Loss: 137.239
-3200/69092 Loss: 131.684
-6400/69092 Loss: 130.119
-9600/69092 Loss: 135.505
-12800/69092 Loss: 131.383
-16000/69092 Loss: 131.100
-19200/69092 Loss: 133.959
-22400/69092 Loss: 131.316
-25600/69092 Loss: 132.879
-28800/69092 Loss: 135.066
-32000/69092 Loss: 130.489
-35200/69092 Loss: 133.174
-38400/69092 Loss: 133.194
-41600/69092 Loss: 133.004
-44800/69092 Loss: 132.902
-48000/69092 Loss: 133.927
-51200/69092 Loss: 133.512
-54400/69092 Loss: 133.162
-57600/69092 Loss: 132.015
-60800/69092 Loss: 132.341
-64000/69092 Loss: 130.212
-67200/69092 Loss: 131.414
-Training time 0:04:50.639351
-Epoch: 73 Average loss: 132.50
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 74)
-0/69092 Loss: 128.461
-3200/69092 Loss: 133.643
-6400/69092 Loss: 133.056
-9600/69092 Loss: 134.341
-12800/69092 Loss: 130.799
-16000/69092 Loss: 131.329
-19200/69092 Loss: 132.097
-22400/69092 Loss: 133.080
-25600/69092 Loss: 132.457
-28800/69092 Loss: 134.632
-32000/69092 Loss: 131.857
-35200/69092 Loss: 133.437
-38400/69092 Loss: 134.191
-41600/69092 Loss: 132.604
-44800/69092 Loss: 130.977
-48000/69092 Loss: 133.419
-51200/69092 Loss: 132.324
-54400/69092 Loss: 134.801
-57600/69092 Loss: 131.169
-60800/69092 Loss: 133.855
-64000/69092 Loss: 130.546
-67200/69092 Loss: 131.256
-Training time 0:04:43.400141
-Epoch: 74 Average loss: 132.68
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 75)
-0/69092 Loss: 129.280
-3200/69092 Loss: 128.060
-6400/69092 Loss: 132.713
-9600/69092 Loss: 131.357
-12800/69092 Loss: 132.191
-16000/69092 Loss: 132.008
-19200/69092 Loss: 133.235
-22400/69092 Loss: 133.112
-25600/69092 Loss: 131.919
-28800/69092 Loss: 134.392
-32000/69092 Loss: 134.172
-35200/69092 Loss: 131.547
-38400/69092 Loss: 132.146
-41600/69092 Loss: 132.063
-44800/69092 Loss: 129.239
-48000/69092 Loss: 132.211
-51200/69092 Loss: 133.981
-54400/69092 Loss: 134.989
-57600/69092 Loss: 131.962
-60800/69092 Loss: 133.478
-64000/69092 Loss: 135.140
-67200/69092 Loss: 132.177
-Training time 0:04:49.077664
-Epoch: 75 Average loss: 132.43
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 76)
-0/69092 Loss: 132.039
-3200/69092 Loss: 132.490
-6400/69092 Loss: 133.999
-9600/69092 Loss: 131.021
-12800/69092 Loss: 133.773
-16000/69092 Loss: 134.095
-19200/69092 Loss: 132.457
-22400/69092 Loss: 133.266
-25600/69092 Loss: 132.737
-28800/69092 Loss: 131.414
-32000/69092 Loss: 132.399
-35200/69092 Loss: 134.236
-38400/69092 Loss: 131.446
-41600/69092 Loss: 132.047
-44800/69092 Loss: 130.692
-48000/69092 Loss: 132.875
-51200/69092 Loss: 134.827
-54400/69092 Loss: 130.094
-57600/69092 Loss: 132.695
-60800/69092 Loss: 132.648
-64000/69092 Loss: 131.729
-67200/69092 Loss: 132.372
-Training time 0:04:50.271656
-Epoch: 76 Average loss: 132.56
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 77)
-0/69092 Loss: 138.312
-3200/69092 Loss: 133.760
-6400/69092 Loss: 134.814
-9600/69092 Loss: 132.228
-12800/69092 Loss: 130.811
-16000/69092 Loss: 130.341
-19200/69092 Loss: 134.031
-22400/69092 Loss: 133.910
-25600/69092 Loss: 128.844
-28800/69092 Loss: 132.982
-32000/69092 Loss: 132.897
-35200/69092 Loss: 130.602
-38400/69092 Loss: 133.486
-41600/69092 Loss: 131.232
-44800/69092 Loss: 131.308
-48000/69092 Loss: 130.775
-51200/69092 Loss: 134.724
-54400/69092 Loss: 133.027
-57600/69092 Loss: 134.760
-60800/69092 Loss: 129.936
-64000/69092 Loss: 130.772
-67200/69092 Loss: 134.359
-Training time 0:04:49.884341
-Epoch: 77 Average loss: 132.40
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 78)
-0/69092 Loss: 136.987
-3200/69092 Loss: 133.288
-6400/69092 Loss: 134.047
-9600/69092 Loss: 129.458
-12800/69092 Loss: 133.686
-16000/69092 Loss: 130.544
-19200/69092 Loss: 133.436
-22400/69092 Loss: 133.693
-25600/69092 Loss: 131.974
-28800/69092 Loss: 134.353
-32000/69092 Loss: 129.646
-35200/69092 Loss: 131.835
-38400/69092 Loss: 132.434
-41600/69092 Loss: 132.363
-44800/69092 Loss: 131.716
-48000/69092 Loss: 133.753
-51200/69092 Loss: 131.988
-54400/69092 Loss: 131.147
-57600/69092 Loss: 131.306
-60800/69092 Loss: 130.084
-64000/69092 Loss: 134.025
-67200/69092 Loss: 133.127
-Training time 0:04:47.500596
-Epoch: 78 Average loss: 132.32
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 79)
-0/69092 Loss: 142.447
-3200/69092 Loss: 132.908
-6400/69092 Loss: 133.935
-9600/69092 Loss: 131.297
-12800/69092 Loss: 130.220
-16000/69092 Loss: 132.283
-19200/69092 Loss: 132.330
-22400/69092 Loss: 132.251
-25600/69092 Loss: 133.363
-28800/69092 Loss: 130.896
-32000/69092 Loss: 132.771
-35200/69092 Loss: 133.911
-38400/69092 Loss: 128.730
-41600/69092 Loss: 132.264
-44800/69092 Loss: 132.691
-48000/69092 Loss: 132.675
-51200/69092 Loss: 132.761
-54400/69092 Loss: 134.194
-57600/69092 Loss: 133.052
-60800/69092 Loss: 133.198
-64000/69092 Loss: 131.895
-67200/69092 Loss: 131.477
-Training time 0:04:42.610289
-Epoch: 79 Average loss: 132.41
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 80)
-0/69092 Loss: 133.878
-3200/69092 Loss: 131.946
-6400/69092 Loss: 131.534
-9600/69092 Loss: 134.315
-12800/69092 Loss: 131.719
-16000/69092 Loss: 133.018
-19200/69092 Loss: 131.079
-22400/69092 Loss: 133.072
-25600/69092 Loss: 131.219
-28800/69092 Loss: 132.463
-32000/69092 Loss: 129.932
-35200/69092 Loss: 132.161
-38400/69092 Loss: 131.843
-41600/69092 Loss: 134.582
-44800/69092 Loss: 131.029
-48000/69092 Loss: 136.120
-51200/69092 Loss: 131.440
-54400/69092 Loss: 133.946
-57600/69092 Loss: 131.097
-60800/69092 Loss: 131.184
-64000/69092 Loss: 134.055
-67200/69092 Loss: 133.600
-Training time 0:04:50.732455
-Epoch: 80 Average loss: 132.38
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_5e_4/checkpoints/last' (iter 81)
-0/69092 Loss: 147.651
-3200/69092 Loss: 133.330
-6400/69092 Loss: 132.364
-9600/69092 Loss: 131.480
-12800/69092 Loss: 134.336
diff --git a/OAR.2068295.stderr b/OAR.2068295.stderr
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-/data1/home/julien.dejasmin/anaconda3/envs/pytorch/lib/python3.7/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
- warnings.warn(warning.format(ret))
diff --git a/OAR.2068295.stdout b/OAR.2068295.stdout
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-Namespace(batch_size=64, beta=None, ckpt_dir='checkpoints', ckpt_name='last', cont_capacity=None, dataset='rendered_chairs', disc_capacity=None, epochs=400, experiment_name='VAE_bs_64_ls_10_lr_1e_3', gpu_devices=[0, 1], is_beta_VAE=False, latent_name='', latent_spec_cont=10, latent_spec_disc=None, load_expe_name='', load_model_checkpoint=False, lr=0.001, num_worker=4, print_loss_every=50, record_loss_every=50, save_model=True, save_reconstruction_image=False, save_step=1, verbose=True)
-creare new diretory experiment: rendered_chairs/VAE_bs_64_ls_10_lr_1e_3
-load dataset: rendered_chairs, with: 69120 train images of shape: (3, 64, 64)
-use 2 gpu who named:
-GeForce RTX 2080 Ti
-GeForce RTX 2080 Ti
-DataParallel(
- (module): VAE(
- (img_to_last_conv): Sequential(
- (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (1): ReLU()
- (2): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- )
- (last_conv_to_continuous_features): Sequential(
- (0): Conv2d(64, 256, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- )
- (features_to_hidden_continue): Sequential(
- (0): Linear(in_features=256, out_features=20, bias=True)
- (1): ReLU()
- )
- (latent_to_features): Sequential(
- (0): Linear(in_features=10, out_features=256, bias=True)
- (1): ReLU()
- )
- (features_to_img): Sequential(
- (0): ConvTranspose2d(256, 64, kernel_size=(4, 4), stride=(1, 1))
- (1): ReLU()
- (2): ConvTranspose2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (3): ReLU()
- (4): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (5): ReLU()
- (6): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (7): ReLU()
- (8): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
- (9): Sigmoid()
- )
- )
-)
-The number of parameters of model is 765335
-don't use continuous capacity
-=> loaded checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last (iter 2)'
-0/69092 Loss: 375.625
-3200/69092 Loss: 446.785
-6400/69092 Loss: 440.296
-9600/69092 Loss: 442.574
-12800/69092 Loss: 432.406
-16000/69092 Loss: 444.233
-19200/69092 Loss: 435.788
-22400/69092 Loss: 440.217
-25600/69092 Loss: 443.591
-28800/69092 Loss: 444.238
-32000/69092 Loss: 434.090
-35200/69092 Loss: 427.514
-38400/69092 Loss: 439.384
-41600/69092 Loss: 434.977
-44800/69092 Loss: 449.689
-48000/69092 Loss: 446.574
-51200/69092 Loss: 439.118
-54400/69092 Loss: 444.995
-57600/69092 Loss: 434.926
-60800/69092 Loss: 441.292
-64000/69092 Loss: 427.845
-67200/69092 Loss: 432.656
-Training time 0:04:34.051671
-Epoch: 1 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 3)
-0/69092 Loss: 393.832
-3200/69092 Loss: 438.616
-6400/69092 Loss: 431.874
-9600/69092 Loss: 455.541
-12800/69092 Loss: 440.252
-16000/69092 Loss: 440.665
-19200/69092 Loss: 435.808
-22400/69092 Loss: 437.461
-25600/69092 Loss: 444.880
-28800/69092 Loss: 435.920
-32000/69092 Loss: 447.494
-35200/69092 Loss: 431.046
-38400/69092 Loss: 437.620
-41600/69092 Loss: 442.615
-44800/69092 Loss: 436.568
-48000/69092 Loss: 443.203
-51200/69092 Loss: 440.405
-54400/69092 Loss: 436.639
-57600/69092 Loss: 432.852
-60800/69092 Loss: 432.166
-64000/69092 Loss: 434.953
-67200/69092 Loss: 441.264
-Training time 0:04:31.395650
-Epoch: 2 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 4)
-0/69092 Loss: 422.917
-3200/69092 Loss: 431.748
-6400/69092 Loss: 447.314
-9600/69092 Loss: 436.361
-12800/69092 Loss: 444.990
-16000/69092 Loss: 442.628
-19200/69092 Loss: 444.761
-22400/69092 Loss: 442.232
-25600/69092 Loss: 438.262
-28800/69092 Loss: 431.871
-32000/69092 Loss: 439.934
-35200/69092 Loss: 435.968
-38400/69092 Loss: 426.521
-41600/69092 Loss: 441.102
-44800/69092 Loss: 444.118
-48000/69092 Loss: 434.464
-51200/69092 Loss: 430.311
-54400/69092 Loss: 445.226
-57600/69092 Loss: 444.504
-60800/69092 Loss: 438.852
-64000/69092 Loss: 440.893
-67200/69092 Loss: 436.566
-Training time 0:04:29.906735
-Epoch: 3 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 5)
-0/69092 Loss: 415.262
-3200/69092 Loss: 448.800
-6400/69092 Loss: 437.634
-9600/69092 Loss: 438.002
-12800/69092 Loss: 431.911
-16000/69092 Loss: 442.412
-19200/69092 Loss: 435.215
-22400/69092 Loss: 441.085
-25600/69092 Loss: 445.418
-28800/69092 Loss: 448.736
-32000/69092 Loss: 435.353
-35200/69092 Loss: 439.455
-38400/69092 Loss: 435.531
-41600/69092 Loss: 437.956
-44800/69092 Loss: 446.065
-48000/69092 Loss: 444.811
-51200/69092 Loss: 431.132
-54400/69092 Loss: 432.654
-57600/69092 Loss: 433.304
-60800/69092 Loss: 436.254
-64000/69092 Loss: 445.370
-67200/69092 Loss: 438.517
-Training time 0:04:26.361455
-Epoch: 4 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 6)
-0/69092 Loss: 449.209
-3200/69092 Loss: 440.689
-6400/69092 Loss: 436.107
-9600/69092 Loss: 434.786
-12800/69092 Loss: 437.954
-16000/69092 Loss: 439.338
-19200/69092 Loss: 439.716
-22400/69092 Loss: 441.164
-25600/69092 Loss: 430.412
-28800/69092 Loss: 440.419
-32000/69092 Loss: 447.638
-35200/69092 Loss: 435.944
-38400/69092 Loss: 441.802
-41600/69092 Loss: 435.020
-44800/69092 Loss: 435.082
-48000/69092 Loss: 443.907
-51200/69092 Loss: 427.800
-54400/69092 Loss: 447.827
-57600/69092 Loss: 435.002
-60800/69092 Loss: 445.449
-64000/69092 Loss: 431.835
-67200/69092 Loss: 452.837
-Training time 0:04:35.682005
-Epoch: 5 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 7)
-0/69092 Loss: 413.826
-3200/69092 Loss: 443.325
-6400/69092 Loss: 437.337
-9600/69092 Loss: 434.842
-12800/69092 Loss: 435.281
-16000/69092 Loss: 444.859
-19200/69092 Loss: 438.488
-22400/69092 Loss: 438.252
-25600/69092 Loss: 441.747
-28800/69092 Loss: 447.335
-32000/69092 Loss: 447.572
-35200/69092 Loss: 435.608
-38400/69092 Loss: 434.339
-41600/69092 Loss: 435.066
-44800/69092 Loss: 432.960
-48000/69092 Loss: 435.379
-51200/69092 Loss: 431.384
-54400/69092 Loss: 440.550
-57600/69092 Loss: 450.134
-60800/69092 Loss: 431.891
-64000/69092 Loss: 435.316
-67200/69092 Loss: 446.095
-Training time 0:04:32.055193
-Epoch: 6 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 8)
-0/69092 Loss: 410.914
-3200/69092 Loss: 443.680
-6400/69092 Loss: 421.163
-9600/69092 Loss: 446.949
-12800/69092 Loss: 433.857
-16000/69092 Loss: 436.575
-19200/69092 Loss: 434.585
-22400/69092 Loss: 435.087
-25600/69092 Loss: 449.742
-28800/69092 Loss: 440.855
-32000/69092 Loss: 443.160
-35200/69092 Loss: 437.213
-38400/69092 Loss: 443.910
-41600/69092 Loss: 438.458
-44800/69092 Loss: 438.994
-48000/69092 Loss: 441.874
-51200/69092 Loss: 438.175
-54400/69092 Loss: 430.585
-57600/69092 Loss: 445.506
-60800/69092 Loss: 440.340
-64000/69092 Loss: 440.323
-67200/69092 Loss: 439.424
-Training time 0:04:24.081298
-Epoch: 7 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 9)
-0/69092 Loss: 422.780
-3200/69092 Loss: 448.578
-6400/69092 Loss: 430.252
-9600/69092 Loss: 441.269
-12800/69092 Loss: 436.205
-16000/69092 Loss: 443.399
-19200/69092 Loss: 441.904
-22400/69092 Loss: 444.786
-25600/69092 Loss: 437.944
-28800/69092 Loss: 450.518
-32000/69092 Loss: 432.025
-35200/69092 Loss: 432.558
-38400/69092 Loss: 439.379
-41600/69092 Loss: 446.042
-44800/69092 Loss: 436.374
-48000/69092 Loss: 451.215
-51200/69092 Loss: 432.161
-54400/69092 Loss: 424.488
-57600/69092 Loss: 434.085
-60800/69092 Loss: 438.740
-64000/69092 Loss: 440.643
-67200/69092 Loss: 441.024
-Training time 0:04:22.898986
-Epoch: 8 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 10)
-0/69092 Loss: 442.409
-3200/69092 Loss: 445.771
-6400/69092 Loss: 437.414
-9600/69092 Loss: 450.510
-12800/69092 Loss: 441.865
-16000/69092 Loss: 429.933
-19200/69092 Loss: 434.439
-22400/69092 Loss: 436.837
-25600/69092 Loss: 443.226
-28800/69092 Loss: 445.913
-32000/69092 Loss: 435.719
-35200/69092 Loss: 436.262
-38400/69092 Loss: 426.778
-41600/69092 Loss: 444.944
-44800/69092 Loss: 438.147
-48000/69092 Loss: 437.067
-51200/69092 Loss: 431.721
-54400/69092 Loss: 443.098
-57600/69092 Loss: 450.341
-60800/69092 Loss: 437.374
-64000/69092 Loss: 441.980
-67200/69092 Loss: 429.471
-Training time 0:04:25.848194
-Epoch: 9 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 11)
-0/69092 Loss: 464.626
-3200/69092 Loss: 432.685
-6400/69092 Loss: 438.780
-9600/69092 Loss: 446.017
-12800/69092 Loss: 434.559
-16000/69092 Loss: 439.762
-19200/69092 Loss: 439.569
-22400/69092 Loss: 438.673
-25600/69092 Loss: 440.022
-28800/69092 Loss: 444.908
-32000/69092 Loss: 436.992
-35200/69092 Loss: 442.352
-38400/69092 Loss: 441.576
-41600/69092 Loss: 436.198
-44800/69092 Loss: 433.849
-48000/69092 Loss: 440.041
-51200/69092 Loss: 437.511
-54400/69092 Loss: 440.434
-57600/69092 Loss: 430.454
-60800/69092 Loss: 441.230
-64000/69092 Loss: 436.647
-67200/69092 Loss: 447.057
-Training time 0:04:28.407033
-Epoch: 10 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 12)
-0/69092 Loss: 451.777
-3200/69092 Loss: 431.351
-6400/69092 Loss: 436.055
-9600/69092 Loss: 441.894
-12800/69092 Loss: 443.788
-16000/69092 Loss: 441.224
-19200/69092 Loss: 442.755
-22400/69092 Loss: 429.945
-25600/69092 Loss: 435.642
-28800/69092 Loss: 439.928
-32000/69092 Loss: 436.072
-35200/69092 Loss: 435.795
-38400/69092 Loss: 433.844
-41600/69092 Loss: 438.198
-44800/69092 Loss: 442.656
-48000/69092 Loss: 439.857
-51200/69092 Loss: 437.720
-54400/69092 Loss: 440.369
-57600/69092 Loss: 439.407
-60800/69092 Loss: 445.087
-64000/69092 Loss: 446.632
-67200/69092 Loss: 446.490
-Training time 0:04:36.721568
-Epoch: 11 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 13)
-0/69092 Loss: 445.309
-3200/69092 Loss: 445.610
-6400/69092 Loss: 440.409
-9600/69092 Loss: 435.306
-12800/69092 Loss: 446.171
-16000/69092 Loss: 428.434
-19200/69092 Loss: 435.219
-22400/69092 Loss: 440.951
-25600/69092 Loss: 437.595
-28800/69092 Loss: 445.892
-32000/69092 Loss: 444.479
-35200/69092 Loss: 429.088
-38400/69092 Loss: 439.665
-41600/69092 Loss: 439.643
-44800/69092 Loss: 437.927
-48000/69092 Loss: 436.874
-51200/69092 Loss: 432.499
-54400/69092 Loss: 440.864
-57600/69092 Loss: 434.907
-60800/69092 Loss: 435.699
-64000/69092 Loss: 451.284
-67200/69092 Loss: 441.631
-Training time 0:04:31.425226
-Epoch: 12 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 14)
-0/69092 Loss: 391.987
-3200/69092 Loss: 439.455
-6400/69092 Loss: 438.929
-9600/69092 Loss: 438.123
-12800/69092 Loss: 438.160
-16000/69092 Loss: 436.873
-19200/69092 Loss: 432.016
-22400/69092 Loss: 443.506
-25600/69092 Loss: 442.866
-28800/69092 Loss: 432.541
-32000/69092 Loss: 439.689
-35200/69092 Loss: 432.838
-38400/69092 Loss: 438.098
-41600/69092 Loss: 433.655
-44800/69092 Loss: 454.539
-48000/69092 Loss: 433.450
-51200/69092 Loss: 429.925
-54400/69092 Loss: 435.827
-57600/69092 Loss: 443.370
-60800/69092 Loss: 449.191
-64000/69092 Loss: 437.884
-67200/69092 Loss: 442.179
-Training time 0:04:31.222503
-Epoch: 13 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 15)
-0/69092 Loss: 395.253
-3200/69092 Loss: 443.331
-6400/69092 Loss: 451.115
-9600/69092 Loss: 444.352
-12800/69092 Loss: 434.585
-16000/69092 Loss: 433.416
-19200/69092 Loss: 439.680
-22400/69092 Loss: 434.093
-25600/69092 Loss: 434.002
-28800/69092 Loss: 432.102
-32000/69092 Loss: 444.747
-35200/69092 Loss: 441.676
-38400/69092 Loss: 454.103
-41600/69092 Loss: 454.494
-44800/69092 Loss: 438.996
-48000/69092 Loss: 434.560
-51200/69092 Loss: 439.567
-54400/69092 Loss: 432.892
-57600/69092 Loss: 437.043
-60800/69092 Loss: 430.473
-64000/69092 Loss: 428.671
-67200/69092 Loss: 439.237
-Training time 0:04:29.380603
-Epoch: 14 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 16)
-0/69092 Loss: 400.240
-3200/69092 Loss: 450.573
-6400/69092 Loss: 442.114
-9600/69092 Loss: 442.227
-12800/69092 Loss: 448.687
-16000/69092 Loss: 428.751
-19200/69092 Loss: 439.393
-22400/69092 Loss: 439.926
-25600/69092 Loss: 446.699
-28800/69092 Loss: 437.067
-32000/69092 Loss: 444.480
-35200/69092 Loss: 436.639
-38400/69092 Loss: 441.261
-41600/69092 Loss: 442.127
-44800/69092 Loss: 427.793
-48000/69092 Loss: 432.717
-51200/69092 Loss: 434.227
-54400/69092 Loss: 431.206
-57600/69092 Loss: 434.003
-60800/69092 Loss: 436.200
-64000/69092 Loss: 437.519
-67200/69092 Loss: 441.965
-Training time 0:04:28.812572
-Epoch: 15 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 17)
-0/69092 Loss: 498.240
-3200/69092 Loss: 440.474
-6400/69092 Loss: 443.826
-9600/69092 Loss: 427.633
-12800/69092 Loss: 432.060
-16000/69092 Loss: 437.623
-19200/69092 Loss: 446.722
-22400/69092 Loss: 447.293
-25600/69092 Loss: 443.333
-28800/69092 Loss: 440.026
-32000/69092 Loss: 431.689
-35200/69092 Loss: 445.803
-38400/69092 Loss: 425.248
-41600/69092 Loss: 435.430
-44800/69092 Loss: 430.713
-48000/69092 Loss: 449.797
-51200/69092 Loss: 445.763
-54400/69092 Loss: 444.885
-57600/69092 Loss: 443.544
-60800/69092 Loss: 442.726
-64000/69092 Loss: 433.580
-67200/69092 Loss: 434.089
-Training time 0:04:27.019803
-Epoch: 16 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 18)
-0/69092 Loss: 466.280
-3200/69092 Loss: 444.208
-6400/69092 Loss: 430.691
-9600/69092 Loss: 440.609
-12800/69092 Loss: 444.150
-16000/69092 Loss: 433.251
-19200/69092 Loss: 440.078
-22400/69092 Loss: 434.438
-25600/69092 Loss: 437.736
-28800/69092 Loss: 442.102
-32000/69092 Loss: 448.164
-35200/69092 Loss: 429.432
-38400/69092 Loss: 452.784
-41600/69092 Loss: 442.916
-44800/69092 Loss: 437.249
-48000/69092 Loss: 440.515
-51200/69092 Loss: 426.367
-54400/69092 Loss: 437.090
-57600/69092 Loss: 442.061
-60800/69092 Loss: 436.515
-64000/69092 Loss: 439.174
-67200/69092 Loss: 436.353
-Training time 0:04:19.161998
-Epoch: 17 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 19)
-0/69092 Loss: 387.399
-3200/69092 Loss: 443.479
-6400/69092 Loss: 437.514
-9600/69092 Loss: 438.330
-12800/69092 Loss: 436.930
-16000/69092 Loss: 438.073
-19200/69092 Loss: 429.599
-22400/69092 Loss: 452.687
-25600/69092 Loss: 442.682
-28800/69092 Loss: 433.250
-32000/69092 Loss: 432.935
-35200/69092 Loss: 443.827
-38400/69092 Loss: 443.910
-41600/69092 Loss: 428.557
-44800/69092 Loss: 435.339
-48000/69092 Loss: 439.639
-51200/69092 Loss: 443.590
-54400/69092 Loss: 443.773
-57600/69092 Loss: 443.634
-60800/69092 Loss: 433.950
-64000/69092 Loss: 440.524
-67200/69092 Loss: 433.771
-Training time 0:04:27.899715
-Epoch: 18 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 20)
-0/69092 Loss: 517.758
-3200/69092 Loss: 437.515
-6400/69092 Loss: 438.680
-9600/69092 Loss: 430.177
-12800/69092 Loss: 442.590
-16000/69092 Loss: 444.649
-19200/69092 Loss: 439.902
-22400/69092 Loss: 434.947
-25600/69092 Loss: 446.782
-28800/69092 Loss: 448.020
-32000/69092 Loss: 449.653
-35200/69092 Loss: 436.316
-38400/69092 Loss: 440.670
-41600/69092 Loss: 440.831
-44800/69092 Loss: 433.954
-48000/69092 Loss: 436.466
-51200/69092 Loss: 433.538
-54400/69092 Loss: 446.983
-57600/69092 Loss: 433.267
-60800/69092 Loss: 435.412
-64000/69092 Loss: 439.729
-67200/69092 Loss: 433.043
-Training time 0:04:18.605166
-Epoch: 19 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 21)
-0/69092 Loss: 468.855
-3200/69092 Loss: 435.587
-6400/69092 Loss: 433.519
-9600/69092 Loss: 441.110
-12800/69092 Loss: 448.535
-16000/69092 Loss: 435.916
-19200/69092 Loss: 442.000
-22400/69092 Loss: 432.518
-25600/69092 Loss: 437.813
-28800/69092 Loss: 440.261
-32000/69092 Loss: 451.433
-35200/69092 Loss: 432.196
-38400/69092 Loss: 429.665
-41600/69092 Loss: 434.087
-44800/69092 Loss: 452.219
-48000/69092 Loss: 441.694
-51200/69092 Loss: 443.547
-54400/69092 Loss: 428.570
-57600/69092 Loss: 434.825
-60800/69092 Loss: 442.841
-64000/69092 Loss: 446.499
-67200/69092 Loss: 435.330
-Training time 0:04:26.089858
-Epoch: 20 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 22)
-0/69092 Loss: 399.025
-3200/69092 Loss: 439.286
-6400/69092 Loss: 437.546
-9600/69092 Loss: 437.893
-12800/69092 Loss: 439.831
-16000/69092 Loss: 441.731
-19200/69092 Loss: 435.240
-22400/69092 Loss: 446.213
-25600/69092 Loss: 440.672
-28800/69092 Loss: 436.112
-32000/69092 Loss: 437.153
-35200/69092 Loss: 432.120
-38400/69092 Loss: 434.109
-41600/69092 Loss: 448.263
-44800/69092 Loss: 444.124
-48000/69092 Loss: 443.655
-51200/69092 Loss: 439.393
-54400/69092 Loss: 440.949
-57600/69092 Loss: 428.376
-60800/69092 Loss: 444.703
-64000/69092 Loss: 439.446
-67200/69092 Loss: 438.540
-Training time 0:04:24.569566
-Epoch: 21 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 23)
-0/69092 Loss: 447.055
-3200/69092 Loss: 444.572
-6400/69092 Loss: 442.419
-9600/69092 Loss: 446.406
-12800/69092 Loss: 429.402
-16000/69092 Loss: 442.351
-19200/69092 Loss: 435.744
-22400/69092 Loss: 435.037
-25600/69092 Loss: 432.900
-28800/69092 Loss: 430.895
-32000/69092 Loss: 445.457
-35200/69092 Loss: 443.495
-38400/69092 Loss: 440.882
-41600/69092 Loss: 439.615
-44800/69092 Loss: 435.154
-48000/69092 Loss: 433.825
-51200/69092 Loss: 442.148
-54400/69092 Loss: 441.451
-57600/69092 Loss: 434.547
-60800/69092 Loss: 441.309
-64000/69092 Loss: 435.940
-67200/69092 Loss: 439.713
-Training time 0:04:22.992704
-Epoch: 22 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 24)
-0/69092 Loss: 389.986
-3200/69092 Loss: 437.453
-6400/69092 Loss: 428.187
-9600/69092 Loss: 437.500
-12800/69092 Loss: 440.849
-16000/69092 Loss: 446.903
-19200/69092 Loss: 435.664
-22400/69092 Loss: 435.958
-25600/69092 Loss: 437.770
-28800/69092 Loss: 439.976
-32000/69092 Loss: 434.114
-35200/69092 Loss: 450.093
-38400/69092 Loss: 446.469
-41600/69092 Loss: 423.855
-44800/69092 Loss: 442.047
-48000/69092 Loss: 445.983
-51200/69092 Loss: 439.791
-54400/69092 Loss: 430.888
-57600/69092 Loss: 446.467
-60800/69092 Loss: 430.531
-64000/69092 Loss: 451.369
-67200/69092 Loss: 440.697
-Training time 0:04:27.871353
-Epoch: 23 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 25)
-0/69092 Loss: 534.593
-3200/69092 Loss: 435.368
-6400/69092 Loss: 443.011
-9600/69092 Loss: 443.323
-12800/69092 Loss: 443.329
-16000/69092 Loss: 439.366
-19200/69092 Loss: 435.409
-22400/69092 Loss: 434.417
-25600/69092 Loss: 447.081
-28800/69092 Loss: 427.311
-32000/69092 Loss: 437.893
-35200/69092 Loss: 448.450
-38400/69092 Loss: 430.901
-41600/69092 Loss: 441.879
-44800/69092 Loss: 433.479
-48000/69092 Loss: 431.285
-51200/69092 Loss: 449.887
-54400/69092 Loss: 438.692
-57600/69092 Loss: 439.121
-60800/69092 Loss: 438.396
-64000/69092 Loss: 448.568
-67200/69092 Loss: 434.511
-Training time 0:04:20.548591
-Epoch: 24 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 26)
-0/69092 Loss: 476.164
-3200/69092 Loss: 436.696
-6400/69092 Loss: 446.213
-9600/69092 Loss: 450.422
-12800/69092 Loss: 432.899
-16000/69092 Loss: 436.943
-19200/69092 Loss: 436.398
-22400/69092 Loss: 436.425
-25600/69092 Loss: 439.782
-28800/69092 Loss: 433.574
-32000/69092 Loss: 436.817
-35200/69092 Loss: 446.180
-38400/69092 Loss: 443.506
-41600/69092 Loss: 439.607
-44800/69092 Loss: 440.577
-48000/69092 Loss: 438.207
-51200/69092 Loss: 433.010
-54400/69092 Loss: 444.056
-57600/69092 Loss: 439.147
-60800/69092 Loss: 440.633
-64000/69092 Loss: 440.489
-67200/69092 Loss: 436.375
-Training time 0:04:19.057597
-Epoch: 25 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 27)
-0/69092 Loss: 374.643
-3200/69092 Loss: 445.066
-6400/69092 Loss: 437.406
-9600/69092 Loss: 433.901
-12800/69092 Loss: 445.341
-16000/69092 Loss: 445.741
-19200/69092 Loss: 427.750
-22400/69092 Loss: 430.690
-25600/69092 Loss: 430.201
-28800/69092 Loss: 432.028
-32000/69092 Loss: 450.946
-35200/69092 Loss: 435.227
-38400/69092 Loss: 446.144
-41600/69092 Loss: 438.084
-44800/69092 Loss: 432.434
-48000/69092 Loss: 442.399
-51200/69092 Loss: 442.481
-54400/69092 Loss: 438.879
-57600/69092 Loss: 442.300
-60800/69092 Loss: 440.708
-64000/69092 Loss: 433.623
-67200/69092 Loss: 451.991
-Training time 0:04:26.867117
-Epoch: 26 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 28)
-0/69092 Loss: 411.831
-3200/69092 Loss: 438.035
-6400/69092 Loss: 444.905
-9600/69092 Loss: 433.037
-12800/69092 Loss: 436.386
-16000/69092 Loss: 443.999
-19200/69092 Loss: 430.444
-22400/69092 Loss: 440.358
-25600/69092 Loss: 430.060
-28800/69092 Loss: 429.699
-32000/69092 Loss: 440.840
-35200/69092 Loss: 432.152
-38400/69092 Loss: 436.628
-41600/69092 Loss: 440.554
-44800/69092 Loss: 455.091
-48000/69092 Loss: 442.408
-51200/69092 Loss: 450.611
-54400/69092 Loss: 430.677
-57600/69092 Loss: 447.235
-60800/69092 Loss: 442.394
-64000/69092 Loss: 437.629
-67200/69092 Loss: 443.945
-Training time 0:04:19.868080
-Epoch: 27 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 29)
-0/69092 Loss: 463.077
-3200/69092 Loss: 455.815
-6400/69092 Loss: 431.184
-9600/69092 Loss: 431.235
-12800/69092 Loss: 440.467
-16000/69092 Loss: 442.644
-19200/69092 Loss: 450.845
-22400/69092 Loss: 444.505
-25600/69092 Loss: 441.152
-28800/69092 Loss: 433.715
-32000/69092 Loss: 437.446
-35200/69092 Loss: 437.977
-38400/69092 Loss: 442.337
-41600/69092 Loss: 428.539
-44800/69092 Loss: 445.475
-48000/69092 Loss: 427.866
-51200/69092 Loss: 440.335
-54400/69092 Loss: 423.947
-57600/69092 Loss: 441.449
-60800/69092 Loss: 436.196
-64000/69092 Loss: 443.439
-67200/69092 Loss: 439.903
-Training time 0:04:30.814036
-Epoch: 28 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 30)
-0/69092 Loss: 405.135
-3200/69092 Loss: 452.535
-6400/69092 Loss: 435.374
-9600/69092 Loss: 436.959
-12800/69092 Loss: 444.434
-16000/69092 Loss: 440.027
-19200/69092 Loss: 440.817
-22400/69092 Loss: 444.350
-25600/69092 Loss: 441.136
-28800/69092 Loss: 438.674
-32000/69092 Loss: 434.921
-35200/69092 Loss: 434.902
-38400/69092 Loss: 444.388
-41600/69092 Loss: 427.179
-44800/69092 Loss: 435.924
-48000/69092 Loss: 436.628
-51200/69092 Loss: 443.645
-54400/69092 Loss: 428.798
-57600/69092 Loss: 440.182
-60800/69092 Loss: 436.767
-64000/69092 Loss: 442.607
-67200/69092 Loss: 438.407
-Training time 0:04:24.017043
-Epoch: 29 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 31)
-0/69092 Loss: 476.353
-3200/69092 Loss: 433.756
-6400/69092 Loss: 440.207
-9600/69092 Loss: 448.995
-12800/69092 Loss: 444.782
-16000/69092 Loss: 429.639
-19200/69092 Loss: 444.561
-22400/69092 Loss: 447.386
-25600/69092 Loss: 438.468
-28800/69092 Loss: 433.601
-32000/69092 Loss: 431.844
-35200/69092 Loss: 450.702
-38400/69092 Loss: 442.945
-41600/69092 Loss: 443.027
-44800/69092 Loss: 434.272
-48000/69092 Loss: 442.576
-51200/69092 Loss: 433.732
-54400/69092 Loss: 437.670
-57600/69092 Loss: 434.728
-60800/69092 Loss: 440.396
-64000/69092 Loss: 431.227
-67200/69092 Loss: 434.757
-Training time 0:04:30.715730
-Epoch: 30 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 32)
-0/69092 Loss: 481.012
-3200/69092 Loss: 444.196
-6400/69092 Loss: 443.710
-9600/69092 Loss: 437.834
-12800/69092 Loss: 434.136
-16000/69092 Loss: 438.710
-19200/69092 Loss: 449.580
-22400/69092 Loss: 434.762
-25600/69092 Loss: 437.236
-28800/69092 Loss: 433.502
-32000/69092 Loss: 445.858
-35200/69092 Loss: 436.958
-38400/69092 Loss: 432.003
-41600/69092 Loss: 435.567
-44800/69092 Loss: 430.610
-48000/69092 Loss: 438.893
-51200/69092 Loss: 438.334
-54400/69092 Loss: 448.751
-57600/69092 Loss: 437.368
-60800/69092 Loss: 437.962
-64000/69092 Loss: 440.413
-67200/69092 Loss: 447.322
-Training time 0:04:26.265103
-Epoch: 31 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 33)
-0/69092 Loss: 400.108
-3200/69092 Loss: 437.015
-6400/69092 Loss: 437.442
-9600/69092 Loss: 435.463
-12800/69092 Loss: 442.450
-16000/69092 Loss: 439.221
-19200/69092 Loss: 438.020
-22400/69092 Loss: 436.137
-25600/69092 Loss: 436.487
-28800/69092 Loss: 427.598
-32000/69092 Loss: 430.596
-35200/69092 Loss: 437.139
-38400/69092 Loss: 445.967
-41600/69092 Loss: 445.456
-44800/69092 Loss: 435.217
-48000/69092 Loss: 446.861
-51200/69092 Loss: 449.337
-54400/69092 Loss: 441.523
-57600/69092 Loss: 430.402
-60800/69092 Loss: 443.866
-64000/69092 Loss: 445.363
-67200/69092 Loss: 439.684
-Training time 0:04:25.301353
-Epoch: 32 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 34)
-0/69092 Loss: 448.684
-3200/69092 Loss: 435.749
-6400/69092 Loss: 432.473
-9600/69092 Loss: 435.465
-12800/69092 Loss: 435.356
-16000/69092 Loss: 440.362
-19200/69092 Loss: 444.648
-22400/69092 Loss: 435.983
-25600/69092 Loss: 441.671
-28800/69092 Loss: 435.129
-32000/69092 Loss: 431.571
-35200/69092 Loss: 440.624
-38400/69092 Loss: 437.530
-41600/69092 Loss: 428.413
-44800/69092 Loss: 432.629
-48000/69092 Loss: 443.885
-51200/69092 Loss: 444.145
-54400/69092 Loss: 452.289
-57600/69092 Loss: 444.870
-60800/69092 Loss: 436.989
-64000/69092 Loss: 441.231
-67200/69092 Loss: 444.663
-Training time 0:04:33.404934
-Epoch: 33 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 35)
-0/69092 Loss: 436.446
-3200/69092 Loss: 447.517
-6400/69092 Loss: 440.830
-9600/69092 Loss: 435.077
-12800/69092 Loss: 444.663
-16000/69092 Loss: 438.343
-19200/69092 Loss: 436.011
-22400/69092 Loss: 444.873
-25600/69092 Loss: 441.715
-28800/69092 Loss: 436.985
-32000/69092 Loss: 440.298
-35200/69092 Loss: 433.009
-38400/69092 Loss: 437.177
-41600/69092 Loss: 450.954
-44800/69092 Loss: 439.261
-48000/69092 Loss: 437.136
-51200/69092 Loss: 433.217
-54400/69092 Loss: 440.091
-57600/69092 Loss: 435.368
-60800/69092 Loss: 436.326
-64000/69092 Loss: 432.034
-67200/69092 Loss: 439.265
-Training time 0:04:16.514513
-Epoch: 34 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 36)
-0/69092 Loss: 403.806
-3200/69092 Loss: 438.807
-6400/69092 Loss: 432.434
-9600/69092 Loss: 443.323
-12800/69092 Loss: 446.873
-16000/69092 Loss: 437.214
-19200/69092 Loss: 434.220
-22400/69092 Loss: 442.977
-25600/69092 Loss: 437.363
-28800/69092 Loss: 431.058
-32000/69092 Loss: 439.841
-35200/69092 Loss: 437.261
-38400/69092 Loss: 437.091
-41600/69092 Loss: 445.562
-44800/69092 Loss: 447.495
-48000/69092 Loss: 449.808
-51200/69092 Loss: 437.370
-54400/69092 Loss: 443.357
-57600/69092 Loss: 436.630
-60800/69092 Loss: 435.718
-64000/69092 Loss: 427.944
-67200/69092 Loss: 438.632
-Training time 0:04:22.187666
-Epoch: 35 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 37)
-0/69092 Loss: 454.148
-3200/69092 Loss: 430.643
-6400/69092 Loss: 449.694
-9600/69092 Loss: 444.262
-12800/69092 Loss: 435.892
-16000/69092 Loss: 437.207
-19200/69092 Loss: 448.424
-22400/69092 Loss: 433.562
-25600/69092 Loss: 438.894
-28800/69092 Loss: 428.642
-32000/69092 Loss: 433.974
-35200/69092 Loss: 432.721
-38400/69092 Loss: 431.000
-41600/69092 Loss: 443.778
-44800/69092 Loss: 437.898
-48000/69092 Loss: 437.710
-51200/69092 Loss: 446.022
-54400/69092 Loss: 442.456
-57600/69092 Loss: 443.119
-60800/69092 Loss: 441.017
-64000/69092 Loss: 438.171
-67200/69092 Loss: 441.328
-Training time 0:04:23.534664
-Epoch: 36 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 38)
-0/69092 Loss: 503.709
-3200/69092 Loss: 452.426
-6400/69092 Loss: 433.778
-9600/69092 Loss: 437.960
-12800/69092 Loss: 437.121
-16000/69092 Loss: 438.996
-19200/69092 Loss: 440.897
-22400/69092 Loss: 434.344
-25600/69092 Loss: 434.731
-28800/69092 Loss: 442.679
-32000/69092 Loss: 442.099
-35200/69092 Loss: 436.466
-38400/69092 Loss: 430.395
-41600/69092 Loss: 439.344
-44800/69092 Loss: 442.088
-48000/69092 Loss: 432.574
-51200/69092 Loss: 454.989
-54400/69092 Loss: 446.804
-57600/69092 Loss: 438.708
-60800/69092 Loss: 432.784
-64000/69092 Loss: 432.696
-67200/69092 Loss: 437.383
-Training time 0:04:23.355301
-Epoch: 37 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 39)
-0/69092 Loss: 447.649
-3200/69092 Loss: 438.415
-6400/69092 Loss: 437.275
-9600/69092 Loss: 433.935
-12800/69092 Loss: 444.876
-16000/69092 Loss: 436.280
-19200/69092 Loss: 442.748
-22400/69092 Loss: 433.677
-25600/69092 Loss: 434.464
-28800/69092 Loss: 436.915
-32000/69092 Loss: 434.070
-35200/69092 Loss: 433.907
-38400/69092 Loss: 444.981
-41600/69092 Loss: 438.346
-44800/69092 Loss: 435.798
-48000/69092 Loss: 439.504
-51200/69092 Loss: 449.858
-54400/69092 Loss: 438.362
-57600/69092 Loss: 435.984
-60800/69092 Loss: 453.773
-64000/69092 Loss: 438.298
-67200/69092 Loss: 443.329
-Training time 0:04:29.106721
-Epoch: 38 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 40)
-0/69092 Loss: 391.537
-3200/69092 Loss: 440.161
-6400/69092 Loss: 446.423
-9600/69092 Loss: 437.502
-12800/69092 Loss: 442.225
-16000/69092 Loss: 446.088
-19200/69092 Loss: 437.018
-22400/69092 Loss: 437.129
-25600/69092 Loss: 442.543
-28800/69092 Loss: 425.001
-32000/69092 Loss: 455.314
-35200/69092 Loss: 442.058
-38400/69092 Loss: 437.978
-41600/69092 Loss: 435.451
-44800/69092 Loss: 442.741
-48000/69092 Loss: 435.259
-51200/69092 Loss: 441.030
-54400/69092 Loss: 437.358
-57600/69092 Loss: 441.818
-60800/69092 Loss: 430.050
-64000/69092 Loss: 433.974
-67200/69092 Loss: 440.024
-Training time 0:04:27.133206
-Epoch: 39 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 41)
-0/69092 Loss: 437.809
-3200/69092 Loss: 445.816
-6400/69092 Loss: 426.942
-9600/69092 Loss: 436.363
-12800/69092 Loss: 442.467
-16000/69092 Loss: 440.726
-19200/69092 Loss: 433.769
-22400/69092 Loss: 438.185
-25600/69092 Loss: 441.295
-28800/69092 Loss: 437.113
-32000/69092 Loss: 424.040
-35200/69092 Loss: 437.843
-38400/69092 Loss: 446.272
-41600/69092 Loss: 449.939
-44800/69092 Loss: 436.133
-48000/69092 Loss: 432.491
-51200/69092 Loss: 435.159
-54400/69092 Loss: 445.164
-57600/69092 Loss: 442.093
-60800/69092 Loss: 445.885
-64000/69092 Loss: 438.135
-67200/69092 Loss: 441.220
-Training time 0:04:30.637297
-Epoch: 40 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 42)
-0/69092 Loss: 409.611
-3200/69092 Loss: 444.389
-6400/69092 Loss: 440.365
-9600/69092 Loss: 442.838
-12800/69092 Loss: 449.627
-16000/69092 Loss: 436.579
-19200/69092 Loss: 431.977
-22400/69092 Loss: 434.451
-25600/69092 Loss: 436.311
-28800/69092 Loss: 440.259
-32000/69092 Loss: 441.167
-35200/69092 Loss: 439.849
-38400/69092 Loss: 441.058
-41600/69092 Loss: 438.793
-44800/69092 Loss: 440.302
-48000/69092 Loss: 435.157
-51200/69092 Loss: 439.652
-54400/69092 Loss: 444.732
-57600/69092 Loss: 435.939
-60800/69092 Loss: 434.778
-64000/69092 Loss: 439.681
-67200/69092 Loss: 432.230
-Training time 0:04:26.600357
-Epoch: 41 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 43)
-0/69092 Loss: 507.415
-3200/69092 Loss: 438.228
-6400/69092 Loss: 438.391
-9600/69092 Loss: 437.827
-12800/69092 Loss: 437.751
-16000/69092 Loss: 445.539
-19200/69092 Loss: 436.618
-22400/69092 Loss: 443.044
-25600/69092 Loss: 449.848
-28800/69092 Loss: 434.835
-32000/69092 Loss: 436.210
-35200/69092 Loss: 440.821
-38400/69092 Loss: 430.715
-41600/69092 Loss: 443.028
-44800/69092 Loss: 442.057
-48000/69092 Loss: 442.289
-51200/69092 Loss: 435.588
-54400/69092 Loss: 436.053
-57600/69092 Loss: 432.229
-60800/69092 Loss: 447.308
-64000/69092 Loss: 441.927
-67200/69092 Loss: 435.013
-Training time 0:04:30.007899
-Epoch: 42 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 44)
-0/69092 Loss: 407.972
-3200/69092 Loss: 432.577
-6400/69092 Loss: 440.557
-9600/69092 Loss: 433.031
-12800/69092 Loss: 440.819
-16000/69092 Loss: 431.605
-19200/69092 Loss: 436.227
-22400/69092 Loss: 440.783
-25600/69092 Loss: 442.717
-28800/69092 Loss: 444.362
-32000/69092 Loss: 436.995
-35200/69092 Loss: 447.956
-38400/69092 Loss: 449.645
-41600/69092 Loss: 432.915
-44800/69092 Loss: 443.741
-48000/69092 Loss: 442.266
-51200/69092 Loss: 436.813
-54400/69092 Loss: 444.252
-57600/69092 Loss: 427.523
-60800/69092 Loss: 437.849
-64000/69092 Loss: 439.495
-67200/69092 Loss: 440.288
-Training time 0:04:29.266357
-Epoch: 43 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 45)
-0/69092 Loss: 398.038
-3200/69092 Loss: 431.172
-6400/69092 Loss: 441.445
-9600/69092 Loss: 444.381
-12800/69092 Loss: 440.471
-16000/69092 Loss: 433.104
-19200/69092 Loss: 453.816
-22400/69092 Loss: 439.002
-25600/69092 Loss: 441.156
-28800/69092 Loss: 437.415
-32000/69092 Loss: 438.586
-35200/69092 Loss: 430.243
-38400/69092 Loss: 441.148
-41600/69092 Loss: 446.183
-44800/69092 Loss: 442.891
-48000/69092 Loss: 442.371
-51200/69092 Loss: 440.565
-54400/69092 Loss: 438.831
-57600/69092 Loss: 429.123
-60800/69092 Loss: 435.269
-64000/69092 Loss: 435.936
-67200/69092 Loss: 439.151
-Training time 0:04:17.281301
-Epoch: 44 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 46)
-0/69092 Loss: 385.241
-3200/69092 Loss: 439.788
-6400/69092 Loss: 439.399
-9600/69092 Loss: 437.780
-12800/69092 Loss: 444.044
-16000/69092 Loss: 442.072
-19200/69092 Loss: 434.022
-22400/69092 Loss: 443.063
-25600/69092 Loss: 443.804
-28800/69092 Loss: 445.599
-32000/69092 Loss: 437.145
-35200/69092 Loss: 436.727
-38400/69092 Loss: 437.106
-41600/69092 Loss: 447.407
-44800/69092 Loss: 437.015
-48000/69092 Loss: 434.691
-51200/69092 Loss: 433.837
-54400/69092 Loss: 434.865
-57600/69092 Loss: 434.589
-60800/69092 Loss: 436.302
-64000/69092 Loss: 442.040
-67200/69092 Loss: 440.525
-Training time 0:04:24.839865
-Epoch: 45 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 47)
-0/69092 Loss: 494.956
-3200/69092 Loss: 429.617
-6400/69092 Loss: 433.782
-9600/69092 Loss: 443.090
-12800/69092 Loss: 433.299
-16000/69092 Loss: 434.624
-19200/69092 Loss: 440.676
-22400/69092 Loss: 444.434
-25600/69092 Loss: 439.572
-28800/69092 Loss: 430.997
-32000/69092 Loss: 442.559
-35200/69092 Loss: 430.993
-38400/69092 Loss: 443.031
-41600/69092 Loss: 437.318
-44800/69092 Loss: 441.607
-48000/69092 Loss: 439.600
-51200/69092 Loss: 436.554
-54400/69092 Loss: 445.179
-57600/69092 Loss: 443.965
-60800/69092 Loss: 440.311
-64000/69092 Loss: 445.184
-67200/69092 Loss: 435.747
-Training time 0:04:26.880554
-Epoch: 46 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 48)
-0/69092 Loss: 412.232
-3200/69092 Loss: 452.045
-6400/69092 Loss: 446.762
-9600/69092 Loss: 444.849
-12800/69092 Loss: 437.523
-16000/69092 Loss: 428.655
-19200/69092 Loss: 440.258
-22400/69092 Loss: 445.879
-25600/69092 Loss: 435.195
-28800/69092 Loss: 436.907
-32000/69092 Loss: 429.976
-35200/69092 Loss: 431.490
-38400/69092 Loss: 442.729
-41600/69092 Loss: 443.433
-44800/69092 Loss: 439.090
-48000/69092 Loss: 444.125
-51200/69092 Loss: 438.630
-54400/69092 Loss: 429.891
-57600/69092 Loss: 439.128
-60800/69092 Loss: 443.925
-64000/69092 Loss: 440.835
-67200/69092 Loss: 438.906
-Training time 0:04:32.843146
-Epoch: 47 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 49)
-0/69092 Loss: 426.367
-3200/69092 Loss: 442.251
-6400/69092 Loss: 436.144
-9600/69092 Loss: 444.448
-12800/69092 Loss: 439.454
-16000/69092 Loss: 442.244
-19200/69092 Loss: 437.906
-22400/69092 Loss: 435.093
-25600/69092 Loss: 430.616
-28800/69092 Loss: 441.967
-32000/69092 Loss: 436.438
-35200/69092 Loss: 447.880
-38400/69092 Loss: 434.073
-41600/69092 Loss: 440.352
-44800/69092 Loss: 443.125
-48000/69092 Loss: 438.794
-51200/69092 Loss: 434.574
-54400/69092 Loss: 434.909
-57600/69092 Loss: 440.548
-60800/69092 Loss: 447.929
-64000/69092 Loss: 433.344
-67200/69092 Loss: 432.947
-Training time 0:04:32.968524
-Epoch: 48 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 50)
-0/69092 Loss: 426.598
-3200/69092 Loss: 437.581
-6400/69092 Loss: 447.624
-9600/69092 Loss: 441.424
-12800/69092 Loss: 435.978
-16000/69092 Loss: 439.993
-19200/69092 Loss: 440.253
-22400/69092 Loss: 441.978
-25600/69092 Loss: 440.757
-28800/69092 Loss: 438.010
-32000/69092 Loss: 436.918
-35200/69092 Loss: 437.191
-38400/69092 Loss: 431.716
-41600/69092 Loss: 443.954
-44800/69092 Loss: 446.419
-48000/69092 Loss: 436.451
-51200/69092 Loss: 444.939
-54400/69092 Loss: 435.050
-57600/69092 Loss: 441.813
-60800/69092 Loss: 430.161
-64000/69092 Loss: 432.653
-67200/69092 Loss: 439.996
-Training time 0:04:28.575223
-Epoch: 49 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 51)
-0/69092 Loss: 422.456
-3200/69092 Loss: 435.311
-6400/69092 Loss: 436.360
-9600/69092 Loss: 437.095
-12800/69092 Loss: 436.947
-16000/69092 Loss: 445.358
-19200/69092 Loss: 440.554
-22400/69092 Loss: 429.427
-25600/69092 Loss: 436.670
-28800/69092 Loss: 429.370
-32000/69092 Loss: 443.846
-35200/69092 Loss: 438.409
-38400/69092 Loss: 437.534
-41600/69092 Loss: 432.698
-44800/69092 Loss: 452.084
-48000/69092 Loss: 448.768
-51200/69092 Loss: 440.683
-54400/69092 Loss: 437.061
-57600/69092 Loss: 448.541
-60800/69092 Loss: 429.059
-64000/69092 Loss: 443.735
-67200/69092 Loss: 437.904
-Training time 0:04:27.925841
-Epoch: 50 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 52)
-0/69092 Loss: 550.071
-3200/69092 Loss: 442.956
-6400/69092 Loss: 438.831
-9600/69092 Loss: 438.188
-12800/69092 Loss: 442.906
-16000/69092 Loss: 444.248
-19200/69092 Loss: 442.256
-22400/69092 Loss: 441.740
-25600/69092 Loss: 446.092
-28800/69092 Loss: 437.966
-32000/69092 Loss: 432.234
-35200/69092 Loss: 442.237
-38400/69092 Loss: 431.455
-41600/69092 Loss: 438.076
-44800/69092 Loss: 439.315
-48000/69092 Loss: 441.768
-51200/69092 Loss: 442.594
-54400/69092 Loss: 436.191
-57600/69092 Loss: 433.962
-60800/69092 Loss: 438.392
-64000/69092 Loss: 437.155
-67200/69092 Loss: 431.720
-Training time 0:04:29.821254
-Epoch: 51 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 53)
-0/69092 Loss: 437.337
-3200/69092 Loss: 446.035
-6400/69092 Loss: 442.904
-9600/69092 Loss: 435.249
-12800/69092 Loss: 439.279
-16000/69092 Loss: 443.838
-19200/69092 Loss: 436.515
-22400/69092 Loss: 439.223
-25600/69092 Loss: 441.838
-28800/69092 Loss: 442.334
-32000/69092 Loss: 440.988
-35200/69092 Loss: 427.747
-38400/69092 Loss: 441.443
-41600/69092 Loss: 444.276
-44800/69092 Loss: 445.065
-48000/69092 Loss: 439.623
-51200/69092 Loss: 431.319
-54400/69092 Loss: 441.970
-57600/69092 Loss: 433.791
-60800/69092 Loss: 442.944
-64000/69092 Loss: 437.015
-67200/69092 Loss: 428.847
-Training time 0:04:25.797223
-Epoch: 52 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 54)
-0/69092 Loss: 417.672
-3200/69092 Loss: 443.598
-6400/69092 Loss: 437.574
-9600/69092 Loss: 438.813
-12800/69092 Loss: 444.055
-16000/69092 Loss: 437.293
-19200/69092 Loss: 449.733
-22400/69092 Loss: 441.537
-25600/69092 Loss: 425.452
-28800/69092 Loss: 444.374
-32000/69092 Loss: 435.388
-35200/69092 Loss: 440.291
-38400/69092 Loss: 431.105
-41600/69092 Loss: 442.119
-44800/69092 Loss: 439.724
-48000/69092 Loss: 432.880
-51200/69092 Loss: 453.698
-54400/69092 Loss: 433.217
-57600/69092 Loss: 437.590
-60800/69092 Loss: 442.609
-64000/69092 Loss: 438.135
-67200/69092 Loss: 439.851
-Training time 0:04:22.740984
-Epoch: 53 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 55)
-0/69092 Loss: 381.935
-3200/69092 Loss: 428.765
-6400/69092 Loss: 443.327
-9600/69092 Loss: 436.975
-12800/69092 Loss: 439.071
-16000/69092 Loss: 437.715
-19200/69092 Loss: 433.178
-22400/69092 Loss: 443.541
-25600/69092 Loss: 436.405
-28800/69092 Loss: 447.054
-32000/69092 Loss: 442.356
-35200/69092 Loss: 436.860
-38400/69092 Loss: 442.425
-41600/69092 Loss: 442.004
-44800/69092 Loss: 430.222
-48000/69092 Loss: 438.636
-51200/69092 Loss: 447.515
-54400/69092 Loss: 443.500
-57600/69092 Loss: 437.393
-60800/69092 Loss: 442.845
-64000/69092 Loss: 440.101
-67200/69092 Loss: 436.235
-Training time 0:04:21.278154
-Epoch: 54 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 56)
-0/69092 Loss: 413.646
-3200/69092 Loss: 431.481
-6400/69092 Loss: 447.569
-9600/69092 Loss: 437.780
-12800/69092 Loss: 433.669
-16000/69092 Loss: 438.410
-19200/69092 Loss: 445.867
-22400/69092 Loss: 444.858
-25600/69092 Loss: 445.017
-28800/69092 Loss: 445.177
-32000/69092 Loss: 439.514
-35200/69092 Loss: 431.732
-38400/69092 Loss: 439.518
-41600/69092 Loss: 431.592
-44800/69092 Loss: 444.482
-48000/69092 Loss: 438.297
-51200/69092 Loss: 432.212
-54400/69092 Loss: 442.138
-57600/69092 Loss: 438.929
-60800/69092 Loss: 437.359
-64000/69092 Loss: 436.536
-67200/69092 Loss: 441.419
-Training time 0:04:27.817203
-Epoch: 55 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 57)
-0/69092 Loss: 427.898
-3200/69092 Loss: 447.176
-6400/69092 Loss: 440.106
-9600/69092 Loss: 439.614
-12800/69092 Loss: 429.972
-16000/69092 Loss: 446.450
-19200/69092 Loss: 435.340
-22400/69092 Loss: 439.818
-25600/69092 Loss: 436.800
-28800/69092 Loss: 441.428
-32000/69092 Loss: 440.438
-35200/69092 Loss: 431.536
-38400/69092 Loss: 442.916
-41600/69092 Loss: 431.127
-44800/69092 Loss: 439.969
-48000/69092 Loss: 438.947
-51200/69092 Loss: 442.249
-54400/69092 Loss: 441.265
-57600/69092 Loss: 443.976
-60800/69092 Loss: 427.512
-64000/69092 Loss: 436.935
-67200/69092 Loss: 445.539
-Training time 0:04:33.632200
-Epoch: 56 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 58)
-0/69092 Loss: 411.760
-3200/69092 Loss: 433.892
-6400/69092 Loss: 439.177
-9600/69092 Loss: 432.515
-12800/69092 Loss: 437.680
-16000/69092 Loss: 444.365
-19200/69092 Loss: 438.557
-22400/69092 Loss: 445.234
-25600/69092 Loss: 440.781
-28800/69092 Loss: 435.052
-32000/69092 Loss: 442.516
-35200/69092 Loss: 437.830
-38400/69092 Loss: 435.828
-41600/69092 Loss: 442.848
-44800/69092 Loss: 446.832
-48000/69092 Loss: 445.540
-51200/69092 Loss: 436.871
-54400/69092 Loss: 440.483
-57600/69092 Loss: 431.503
-60800/69092 Loss: 435.062
-64000/69092 Loss: 436.744
-67200/69092 Loss: 439.370
-Training time 0:04:33.756435
-Epoch: 57 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 59)
-0/69092 Loss: 438.751
-3200/69092 Loss: 448.455
-6400/69092 Loss: 434.567
-9600/69092 Loss: 438.998
-12800/69092 Loss: 442.327
-16000/69092 Loss: 439.686
-19200/69092 Loss: 439.175
-22400/69092 Loss: 443.437
-25600/69092 Loss: 434.127
-28800/69092 Loss: 434.975
-32000/69092 Loss: 435.085
-35200/69092 Loss: 451.537
-38400/69092 Loss: 438.002
-41600/69092 Loss: 439.895
-44800/69092 Loss: 429.652
-48000/69092 Loss: 450.670
-51200/69092 Loss: 426.567
-54400/69092 Loss: 432.979
-57600/69092 Loss: 434.381
-60800/69092 Loss: 438.850
-64000/69092 Loss: 436.625
-67200/69092 Loss: 443.626
-Training time 0:04:34.159196
-Epoch: 58 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 60)
-0/69092 Loss: 481.370
-3200/69092 Loss: 443.856
-6400/69092 Loss: 438.814
-9600/69092 Loss: 441.666
-12800/69092 Loss: 437.547
-16000/69092 Loss: 434.459
-19200/69092 Loss: 431.864
-22400/69092 Loss: 433.989
-25600/69092 Loss: 430.929
-28800/69092 Loss: 439.915
-32000/69092 Loss: 447.245
-35200/69092 Loss: 447.208
-38400/69092 Loss: 433.403
-41600/69092 Loss: 438.187
-44800/69092 Loss: 435.722
-48000/69092 Loss: 438.726
-51200/69092 Loss: 432.387
-54400/69092 Loss: 439.987
-57600/69092 Loss: 440.465
-60800/69092 Loss: 441.431
-64000/69092 Loss: 449.919
-67200/69092 Loss: 450.584
-Training time 0:04:34.858693
-Epoch: 59 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 61)
-0/69092 Loss: 429.961
-3200/69092 Loss: 429.342
-6400/69092 Loss: 442.421
-9600/69092 Loss: 435.096
-12800/69092 Loss: 441.566
-16000/69092 Loss: 442.757
-19200/69092 Loss: 436.914
-22400/69092 Loss: 443.071
-25600/69092 Loss: 442.141
-28800/69092 Loss: 448.962
-32000/69092 Loss: 443.628
-35200/69092 Loss: 430.613
-38400/69092 Loss: 427.441
-41600/69092 Loss: 434.592
-44800/69092 Loss: 436.874
-48000/69092 Loss: 447.286
-51200/69092 Loss: 429.857
-54400/69092 Loss: 436.978
-57600/69092 Loss: 447.167
-60800/69092 Loss: 438.259
-64000/69092 Loss: 438.108
-67200/69092 Loss: 447.906
-Training time 0:04:28.926358
-Epoch: 60 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 62)
-0/69092 Loss: 453.265
-3200/69092 Loss: 438.843
-6400/69092 Loss: 432.844
-9600/69092 Loss: 441.518
-12800/69092 Loss: 434.637
-16000/69092 Loss: 441.445
-19200/69092 Loss: 445.523
-22400/69092 Loss: 442.913
-25600/69092 Loss: 438.194
-28800/69092 Loss: 449.389
-32000/69092 Loss: 441.307
-35200/69092 Loss: 437.638
-38400/69092 Loss: 438.045
-41600/69092 Loss: 439.874
-44800/69092 Loss: 419.166
-48000/69092 Loss: 439.177
-51200/69092 Loss: 438.055
-54400/69092 Loss: 454.875
-57600/69092 Loss: 442.716
-60800/69092 Loss: 433.500
-64000/69092 Loss: 442.145
-67200/69092 Loss: 425.070
-Training time 0:04:17.812471
-Epoch: 61 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 63)
-0/69092 Loss: 435.152
-3200/69092 Loss: 425.168
-6400/69092 Loss: 436.629
-9600/69092 Loss: 440.108
-12800/69092 Loss: 440.200
-16000/69092 Loss: 441.054
-19200/69092 Loss: 442.874
-22400/69092 Loss: 440.906
-25600/69092 Loss: 437.788
-28800/69092 Loss: 439.653
-32000/69092 Loss: 450.036
-35200/69092 Loss: 447.640
-38400/69092 Loss: 440.043
-41600/69092 Loss: 431.116
-44800/69092 Loss: 440.889
-48000/69092 Loss: 439.093
-51200/69092 Loss: 444.772
-54400/69092 Loss: 432.654
-57600/69092 Loss: 439.986
-60800/69092 Loss: 434.186
-64000/69092 Loss: 450.730
-67200/69092 Loss: 429.098
-Training time 0:04:24.809857
-Epoch: 62 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 64)
-0/69092 Loss: 440.093
-3200/69092 Loss: 433.018
-6400/69092 Loss: 429.474
-9600/69092 Loss: 441.433
-12800/69092 Loss: 442.660
-16000/69092 Loss: 446.788
-19200/69092 Loss: 441.570
-22400/69092 Loss: 441.901
-25600/69092 Loss: 439.729
-28800/69092 Loss: 441.023
-32000/69092 Loss: 433.298
-35200/69092 Loss: 440.624
-38400/69092 Loss: 433.511
-41600/69092 Loss: 441.454
-44800/69092 Loss: 439.079
-48000/69092 Loss: 438.031
-51200/69092 Loss: 442.159
-54400/69092 Loss: 445.902
-57600/69092 Loss: 430.249
-60800/69092 Loss: 440.677
-64000/69092 Loss: 432.880
-67200/69092 Loss: 437.562
-Training time 0:04:20.804945
-Epoch: 63 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 65)
-0/69092 Loss: 436.817
-3200/69092 Loss: 440.182
-6400/69092 Loss: 435.733
-9600/69092 Loss: 439.587
-12800/69092 Loss: 431.296
-16000/69092 Loss: 441.980
-19200/69092 Loss: 442.104
-22400/69092 Loss: 438.614
-25600/69092 Loss: 440.386
-28800/69092 Loss: 434.225
-32000/69092 Loss: 442.410
-35200/69092 Loss: 437.588
-38400/69092 Loss: 442.037
-41600/69092 Loss: 442.591
-44800/69092 Loss: 436.520
-48000/69092 Loss: 438.737
-51200/69092 Loss: 434.122
-54400/69092 Loss: 429.386
-57600/69092 Loss: 433.496
-60800/69092 Loss: 442.233
-64000/69092 Loss: 445.463
-67200/69092 Loss: 448.857
-Training time 0:04:19.942842
-Epoch: 64 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 66)
-0/69092 Loss: 398.998
-3200/69092 Loss: 443.840
-6400/69092 Loss: 439.399
-9600/69092 Loss: 435.081
-12800/69092 Loss: 445.893
-16000/69092 Loss: 431.500
-19200/69092 Loss: 435.736
-22400/69092 Loss: 439.064
-25600/69092 Loss: 436.566
-28800/69092 Loss: 431.796
-32000/69092 Loss: 431.160
-35200/69092 Loss: 435.912
-38400/69092 Loss: 436.780
-41600/69092 Loss: 445.401
-44800/69092 Loss: 434.821
-48000/69092 Loss: 438.186
-51200/69092 Loss: 434.963
-54400/69092 Loss: 441.965
-57600/69092 Loss: 445.562
-60800/69092 Loss: 441.051
-64000/69092 Loss: 440.830
-67200/69092 Loss: 454.219
-Training time 0:04:28.375923
-Epoch: 65 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 67)
-0/69092 Loss: 481.965
-3200/69092 Loss: 444.284
-6400/69092 Loss: 430.930
-9600/69092 Loss: 439.995
-12800/69092 Loss: 445.742
-16000/69092 Loss: 442.147
-19200/69092 Loss: 433.298
-22400/69092 Loss: 438.165
-25600/69092 Loss: 443.967
-28800/69092 Loss: 437.553
-32000/69092 Loss: 435.797
-35200/69092 Loss: 439.222
-38400/69092 Loss: 441.535
-41600/69092 Loss: 435.819
-44800/69092 Loss: 437.121
-48000/69092 Loss: 432.600
-51200/69092 Loss: 442.415
-54400/69092 Loss: 436.416
-57600/69092 Loss: 441.440
-60800/69092 Loss: 441.323
-64000/69092 Loss: 431.728
-67200/69092 Loss: 442.462
-Training time 0:04:25.304930
-Epoch: 66 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 68)
-0/69092 Loss: 485.893
-3200/69092 Loss: 439.189
-6400/69092 Loss: 429.988
-9600/69092 Loss: 435.731
-12800/69092 Loss: 437.687
-16000/69092 Loss: 436.549
-19200/69092 Loss: 440.563
-22400/69092 Loss: 443.955
-25600/69092 Loss: 443.521
-28800/69092 Loss: 436.155
-32000/69092 Loss: 437.393
-35200/69092 Loss: 443.298
-38400/69092 Loss: 441.077
-41600/69092 Loss: 438.236
-44800/69092 Loss: 438.087
-48000/69092 Loss: 438.055
-51200/69092 Loss: 444.033
-54400/69092 Loss: 443.158
-57600/69092 Loss: 440.457
-60800/69092 Loss: 446.044
-64000/69092 Loss: 426.677
-67200/69092 Loss: 438.979
-Training time 0:04:33.185552
-Epoch: 67 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 69)
-0/69092 Loss: 420.831
-3200/69092 Loss: 442.669
-6400/69092 Loss: 452.660
-9600/69092 Loss: 431.214
-12800/69092 Loss: 443.841
-16000/69092 Loss: 433.611
-19200/69092 Loss: 436.799
-22400/69092 Loss: 435.424
-25600/69092 Loss: 440.612
-28800/69092 Loss: 444.618
-32000/69092 Loss: 432.802
-35200/69092 Loss: 436.876
-38400/69092 Loss: 440.315
-41600/69092 Loss: 438.914
-44800/69092 Loss: 447.854
-48000/69092 Loss: 439.244
-51200/69092 Loss: 444.912
-54400/69092 Loss: 439.080
-57600/69092 Loss: 433.689
-60800/69092 Loss: 435.428
-64000/69092 Loss: 435.146
-67200/69092 Loss: 442.037
-Training time 0:04:28.518043
-Epoch: 68 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 70)
-0/69092 Loss: 393.491
-3200/69092 Loss: 432.490
-6400/69092 Loss: 436.490
-9600/69092 Loss: 432.180
-12800/69092 Loss: 437.639
-16000/69092 Loss: 426.939
-19200/69092 Loss: 442.415
-22400/69092 Loss: 429.092
-25600/69092 Loss: 444.033
-28800/69092 Loss: 450.195
-32000/69092 Loss: 436.750
-35200/69092 Loss: 439.721
-38400/69092 Loss: 435.390
-41600/69092 Loss: 438.870
-44800/69092 Loss: 445.929
-48000/69092 Loss: 439.922
-51200/69092 Loss: 444.181
-54400/69092 Loss: 446.175
-57600/69092 Loss: 439.737
-60800/69092 Loss: 437.200
-64000/69092 Loss: 451.240
-67200/69092 Loss: 433.368
-Training time 0:04:34.362609
-Epoch: 69 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 71)
-0/69092 Loss: 486.449
-3200/69092 Loss: 440.920
-6400/69092 Loss: 436.375
-9600/69092 Loss: 435.286
-12800/69092 Loss: 440.093
-16000/69092 Loss: 444.735
-19200/69092 Loss: 437.497
-22400/69092 Loss: 433.487
-25600/69092 Loss: 435.702
-28800/69092 Loss: 447.285
-32000/69092 Loss: 433.168
-35200/69092 Loss: 444.765
-38400/69092 Loss: 433.999
-41600/69092 Loss: 435.072
-44800/69092 Loss: 448.299
-48000/69092 Loss: 438.131
-51200/69092 Loss: 443.913
-54400/69092 Loss: 440.995
-57600/69092 Loss: 444.716
-60800/69092 Loss: 436.394
-64000/69092 Loss: 434.067
-67200/69092 Loss: 444.127
-Training time 0:04:23.119485
-Epoch: 70 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 72)
-0/69092 Loss: 456.388
-3200/69092 Loss: 440.627
-6400/69092 Loss: 434.655
-9600/69092 Loss: 425.941
-12800/69092 Loss: 442.158
-16000/69092 Loss: 438.968
-19200/69092 Loss: 436.301
-22400/69092 Loss: 443.149
-25600/69092 Loss: 443.818
-28800/69092 Loss: 441.077
-32000/69092 Loss: 437.158
-35200/69092 Loss: 441.001
-38400/69092 Loss: 436.902
-41600/69092 Loss: 450.161
-44800/69092 Loss: 440.306
-48000/69092 Loss: 428.515
-51200/69092 Loss: 446.683
-54400/69092 Loss: 435.140
-57600/69092 Loss: 448.877
-60800/69092 Loss: 433.218
-64000/69092 Loss: 439.427
-67200/69092 Loss: 441.373
-Training time 0:04:28.330593
-Epoch: 71 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 73)
-0/69092 Loss: 458.070
-3200/69092 Loss: 444.052
-6400/69092 Loss: 442.543
-9600/69092 Loss: 427.966
-12800/69092 Loss: 428.694
-16000/69092 Loss: 435.232
-19200/69092 Loss: 442.810
-22400/69092 Loss: 440.732
-25600/69092 Loss: 439.676
-28800/69092 Loss: 438.011
-32000/69092 Loss: 436.440
-35200/69092 Loss: 436.617
-38400/69092 Loss: 440.179
-41600/69092 Loss: 435.382
-44800/69092 Loss: 442.662
-48000/69092 Loss: 439.867
-51200/69092 Loss: 440.253
-54400/69092 Loss: 435.741
-57600/69092 Loss: 441.780
-60800/69092 Loss: 444.592
-64000/69092 Loss: 442.122
-67200/69092 Loss: 441.525
-Training time 0:04:22.613738
-Epoch: 72 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 74)
-0/69092 Loss: 469.953
-3200/69092 Loss: 438.776
-6400/69092 Loss: 435.868
-9600/69092 Loss: 441.209
-12800/69092 Loss: 441.959
-16000/69092 Loss: 429.666
-19200/69092 Loss: 439.287
-22400/69092 Loss: 436.681
-25600/69092 Loss: 444.585
-28800/69092 Loss: 448.134
-32000/69092 Loss: 427.122
-35200/69092 Loss: 433.999
-38400/69092 Loss: 440.035
-41600/69092 Loss: 432.372
-44800/69092 Loss: 447.241
-48000/69092 Loss: 442.884
-51200/69092 Loss: 444.846
-54400/69092 Loss: 438.735
-57600/69092 Loss: 439.255
-60800/69092 Loss: 449.132
-64000/69092 Loss: 432.687
-67200/69092 Loss: 435.702
-Training time 0:04:20.623353
-Epoch: 73 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 75)
-0/69092 Loss: 427.240
-3200/69092 Loss: 429.469
-6400/69092 Loss: 444.833
-9600/69092 Loss: 434.928
-12800/69092 Loss: 444.967
-16000/69092 Loss: 423.495
-19200/69092 Loss: 434.935
-22400/69092 Loss: 449.202
-25600/69092 Loss: 423.320
-28800/69092 Loss: 442.072
-32000/69092 Loss: 447.337
-35200/69092 Loss: 437.285
-38400/69092 Loss: 442.135
-41600/69092 Loss: 446.631
-44800/69092 Loss: 433.983
-48000/69092 Loss: 431.751
-51200/69092 Loss: 441.727
-54400/69092 Loss: 442.096
-57600/69092 Loss: 437.589
-60800/69092 Loss: 448.595
-64000/69092 Loss: 441.812
-67200/69092 Loss: 436.986
-Training time 0:04:35.874284
-Epoch: 74 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 76)
-0/69092 Loss: 431.358
-3200/69092 Loss: 443.052
-6400/69092 Loss: 443.236
-9600/69092 Loss: 433.132
-12800/69092 Loss: 434.050
-16000/69092 Loss: 437.981
-19200/69092 Loss: 441.862
-22400/69092 Loss: 440.291
-25600/69092 Loss: 429.166
-28800/69092 Loss: 441.906
-32000/69092 Loss: 431.980
-35200/69092 Loss: 447.021
-38400/69092 Loss: 436.277
-41600/69092 Loss: 452.453
-44800/69092 Loss: 442.244
-48000/69092 Loss: 442.442
-51200/69092 Loss: 436.932
-54400/69092 Loss: 437.544
-57600/69092 Loss: 430.479
-60800/69092 Loss: 441.225
-64000/69092 Loss: 439.020
-67200/69092 Loss: 437.369
-Training time 0:04:28.609695
-Epoch: 75 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 77)
-0/69092 Loss: 430.895
-3200/69092 Loss: 429.181
-6400/69092 Loss: 436.251
-9600/69092 Loss: 434.145
-12800/69092 Loss: 447.277
-16000/69092 Loss: 438.238
-19200/69092 Loss: 434.316
-22400/69092 Loss: 433.676
-25600/69092 Loss: 449.608
-28800/69092 Loss: 436.183
-32000/69092 Loss: 438.880
-35200/69092 Loss: 435.693
-38400/69092 Loss: 441.719
-41600/69092 Loss: 441.783
-44800/69092 Loss: 440.828
-48000/69092 Loss: 440.520
-51200/69092 Loss: 449.355
-54400/69092 Loss: 441.894
-57600/69092 Loss: 443.175
-60800/69092 Loss: 431.229
-64000/69092 Loss: 443.335
-67200/69092 Loss: 437.127
-Training time 0:04:37.820950
-Epoch: 76 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 78)
-0/69092 Loss: 430.771
-3200/69092 Loss: 438.633
-6400/69092 Loss: 444.544
-9600/69092 Loss: 444.716
-12800/69092 Loss: 434.922
-16000/69092 Loss: 437.631
-19200/69092 Loss: 435.571
-22400/69092 Loss: 441.155
-25600/69092 Loss: 437.357
-28800/69092 Loss: 445.235
-32000/69092 Loss: 438.067
-35200/69092 Loss: 433.339
-38400/69092 Loss: 437.645
-41600/69092 Loss: 439.892
-44800/69092 Loss: 453.014
-48000/69092 Loss: 436.742
-51200/69092 Loss: 439.820
-54400/69092 Loss: 432.332
-57600/69092 Loss: 442.311
-60800/69092 Loss: 443.235
-64000/69092 Loss: 434.287
-67200/69092 Loss: 434.622
-Training time 0:04:35.927628
-Epoch: 77 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 79)
-0/69092 Loss: 446.499
-3200/69092 Loss: 436.133
-6400/69092 Loss: 441.444
-9600/69092 Loss: 427.256
-12800/69092 Loss: 436.374
-16000/69092 Loss: 436.849
-19200/69092 Loss: 441.694
-22400/69092 Loss: 440.956
-25600/69092 Loss: 436.733
-28800/69092 Loss: 440.706
-32000/69092 Loss: 439.587
-35200/69092 Loss: 432.551
-38400/69092 Loss: 443.022
-41600/69092 Loss: 437.109
-44800/69092 Loss: 436.916
-48000/69092 Loss: 442.528
-51200/69092 Loss: 443.058
-54400/69092 Loss: 440.018
-57600/69092 Loss: 430.461
-60800/69092 Loss: 452.985
-64000/69092 Loss: 448.857
-67200/69092 Loss: 439.490
-Training time 0:04:32.511036
-Epoch: 78 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 80)
-0/69092 Loss: 487.504
-3200/69092 Loss: 442.350
-6400/69092 Loss: 446.787
-9600/69092 Loss: 441.357
-12800/69092 Loss: 432.835
-16000/69092 Loss: 443.573
-19200/69092 Loss: 444.299
-22400/69092 Loss: 434.448
-25600/69092 Loss: 446.956
-28800/69092 Loss: 449.180
-32000/69092 Loss: 430.925
-35200/69092 Loss: 433.882
-38400/69092 Loss: 446.180
-41600/69092 Loss: 441.777
-44800/69092 Loss: 434.901
-48000/69092 Loss: 431.769
-51200/69092 Loss: 439.595
-54400/69092 Loss: 437.004
-57600/69092 Loss: 430.203
-60800/69092 Loss: 443.179
-64000/69092 Loss: 433.426
-67200/69092 Loss: 434.029
-Training time 0:04:30.890610
-Epoch: 79 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 81)
-0/69092 Loss: 481.668
-3200/69092 Loss: 437.355
-6400/69092 Loss: 432.293
-9600/69092 Loss: 434.117
-12800/69092 Loss: 447.442
-16000/69092 Loss: 439.925
-19200/69092 Loss: 434.140
-22400/69092 Loss: 427.423
-25600/69092 Loss: 442.359
-28800/69092 Loss: 439.085
-32000/69092 Loss: 449.415
-35200/69092 Loss: 435.332
-38400/69092 Loss: 433.305
-41600/69092 Loss: 445.405
-44800/69092 Loss: 430.264
-48000/69092 Loss: 438.950
-51200/69092 Loss: 446.735
-54400/69092 Loss: 436.979
-57600/69092 Loss: 441.830
-60800/69092 Loss: 438.962
-64000/69092 Loss: 437.526
-67200/69092 Loss: 447.985
-Training time 0:04:23.198038
-Epoch: 80 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 82)
-0/69092 Loss: 378.888
-3200/69092 Loss: 431.912
-6400/69092 Loss: 443.355
-9600/69092 Loss: 437.282
-12800/69092 Loss: 435.850
-16000/69092 Loss: 441.770
-19200/69092 Loss: 425.460
-22400/69092 Loss: 429.830
-25600/69092 Loss: 434.771
-28800/69092 Loss: 428.194
-32000/69092 Loss: 448.500
-35200/69092 Loss: 446.295
-38400/69092 Loss: 455.919
-41600/69092 Loss: 437.209
-44800/69092 Loss: 444.666
-48000/69092 Loss: 443.734
-51200/69092 Loss: 442.007
-54400/69092 Loss: 437.688
-57600/69092 Loss: 448.615
-60800/69092 Loss: 442.213
-64000/69092 Loss: 437.041
-67200/69092 Loss: 429.636
-Training time 0:04:30.661318
-Epoch: 81 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 83)
-0/69092 Loss: 449.163
-3200/69092 Loss: 439.526
-6400/69092 Loss: 444.871
-9600/69092 Loss: 441.900
-12800/69092 Loss: 439.481
-16000/69092 Loss: 442.925
-19200/69092 Loss: 448.002
-22400/69092 Loss: 434.180
-25600/69092 Loss: 432.900
-28800/69092 Loss: 436.394
-32000/69092 Loss: 437.555
-35200/69092 Loss: 427.933
-38400/69092 Loss: 442.859
-41600/69092 Loss: 442.253
-44800/69092 Loss: 430.309
-48000/69092 Loss: 438.446
-51200/69092 Loss: 429.865
-54400/69092 Loss: 455.650
-57600/69092 Loss: 430.378
-60800/69092 Loss: 443.486
-64000/69092 Loss: 435.465
-67200/69092 Loss: 443.477
-Training time 0:04:19.914743
-Epoch: 82 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 84)
-0/69092 Loss: 406.290
-3200/69092 Loss: 444.287
-6400/69092 Loss: 444.629
-9600/69092 Loss: 437.308
-12800/69092 Loss: 438.079
-16000/69092 Loss: 441.510
-19200/69092 Loss: 437.281
-22400/69092 Loss: 441.529
-25600/69092 Loss: 431.017
-28800/69092 Loss: 439.013
-32000/69092 Loss: 437.763
-35200/69092 Loss: 440.027
-38400/69092 Loss: 442.800
-41600/69092 Loss: 434.031
-44800/69092 Loss: 442.341
-48000/69092 Loss: 445.696
-51200/69092 Loss: 441.060
-54400/69092 Loss: 442.858
-57600/69092 Loss: 441.939
-60800/69092 Loss: 431.163
-64000/69092 Loss: 440.905
-67200/69092 Loss: 434.195
-Training time 0:04:23.488505
-Epoch: 83 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 85)
-0/69092 Loss: 441.828
-3200/69092 Loss: 434.512
-6400/69092 Loss: 434.845
-9600/69092 Loss: 448.229
-12800/69092 Loss: 436.518
-16000/69092 Loss: 446.633
-19200/69092 Loss: 429.827
-22400/69092 Loss: 431.421
-25600/69092 Loss: 433.879
-28800/69092 Loss: 451.642
-32000/69092 Loss: 438.861
-35200/69092 Loss: 436.175
-38400/69092 Loss: 441.431
-41600/69092 Loss: 442.288
-44800/69092 Loss: 437.448
-48000/69092 Loss: 441.520
-51200/69092 Loss: 443.343
-54400/69092 Loss: 448.508
-57600/69092 Loss: 437.061
-60800/69092 Loss: 440.716
-64000/69092 Loss: 429.753
-67200/69092 Loss: 432.530
-Training time 0:04:30.260231
-Epoch: 84 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 86)
-0/69092 Loss: 425.748
-3200/69092 Loss: 438.217
-6400/69092 Loss: 438.140
-9600/69092 Loss: 442.356
-12800/69092 Loss: 437.696
-16000/69092 Loss: 444.825
-19200/69092 Loss: 443.557
-22400/69092 Loss: 436.350
-25600/69092 Loss: 439.677
-28800/69092 Loss: 439.924
-32000/69092 Loss: 443.346
-35200/69092 Loss: 430.511
-38400/69092 Loss: 440.147
-41600/69092 Loss: 442.451
-44800/69092 Loss: 434.681
-48000/69092 Loss: 438.830
-51200/69092 Loss: 441.980
-54400/69092 Loss: 441.627
-57600/69092 Loss: 436.089
-60800/69092 Loss: 448.313
-64000/69092 Loss: 434.959
-67200/69092 Loss: 429.999
-Training time 0:04:26.453752
-Epoch: 85 Average loss: 439.07
-=> saved checkpoint 'trained_models/rendered_chairs/VAE_bs_64_ls_10_lr_1e_3/checkpoints/last' (iter 87)
-0/69092 Loss: 437.104
-3200/69092 Loss: 445.228
-6400/69092 Loss: 447.248
-9600/69092 Loss: 436.153
-12800/69092 Loss: 427.372
-16000/69092 Loss: 450.446
-19200/69092 Loss: 443.578
-22400/69092 Loss: 443.433
-25600/69092 Loss: 433.324
-28800/69092 Loss: 430.439
-32000/69092 Loss: 434.079
-35200/69092 Loss: 434.142
-38400/69092 Loss: 441.583
-41600/69092 Loss: 439.060
-44800/69092 Loss: 434.916
-48000/69092 Loss: 434.462
-51200/69092 Loss: 441.623
-54400/69092 Loss: 442.552
-57600/69092 Loss: 440.673
-60800/69092 Loss: 438.891
-64000/69092 Loss: 447.394
diff --git a/dataloader/dataloaders.py b/dataloader/dataloaders.py
index 4e2d5fc700..c3b32f415b 100644
--- a/dataloader/dataloaders.py
+++ b/dataloader/dataloaders.py
@@ -3,6 +3,7 @@ import numpy as np
from skimage.io import imread
from torch.utils.data import Dataset, DataLoader, random_split
from torchvision import datasets, transforms
+import os
# Load data
@@ -108,6 +109,10 @@ def get_chairs_dataloader(num_worker=4, batch_size=128, path_to_data='../data/re
"""
Chairs dataloader. Chairs are center cropped and resized to (64, 64).
"""
+ path_to_data = 'data/rendered_chairs'
+ if not os.path.exists(path_to_data):
+ path_to_data = '../data/rendered_chairs'
+
all_transforms = transforms.Compose([
# transforms.Grayscale(),
transforms.Resize(64),
diff --git a/main.py b/main.py
index 2e80eb9cff..85af9d178f 100644
--- a/main.py
+++ b/main.py
@@ -17,7 +17,6 @@ import json
def main(args):
-
# continue and discrete capacity
if args.cont_capacity is not None:
cont_capacity = [float(item) for item in args.cont_capacity.split(',')]
@@ -62,7 +61,7 @@ def main(args):
file_path = os.path.join('trained_models/', args.dataset, args.experiment_name, 'specs.json')
with open(file_path, 'w') as json_file:
json.dump(parameter, json_file)
-
+
# create model
model = VAE(img_size, latent_spec=latent_spec)
# load dataset
@@ -98,7 +97,6 @@ def main(args):
args.latent_name + args.experiment_name + '.gif', viz))
-
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='VAE')
parser.add_argument('--batch-size', type=int, default=64, metavar='integer value',
diff --git a/parameters_combinations/param_combinations_chairs.txt b/parameters_combinations/param_combinations_chairs.txt
index 0abd899eb8..700e38e30f 100644
--- a/parameters_combinations/param_combinations_chairs.txt
+++ b/parameters_combinations/param_combinations_chairs.txt
@@ -1,12 +1,12 @@
--batch-size=256 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --is-beta-VAE=True --beta=4 --lr=1e-4 --experiment-name=beta_VAE_bs_256 --gpu-devices 0 1 --load-model-checkpoint=True
--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --is-beta-VAE=True --beta=4 --lr=1e-4 --experiment-name=beta_VAE_bs_64 --gpu-devices 0 1 --load-model-checkpoint=True
---batch-size=256 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --lr=1e-4 --experiment-name=VAE_bs_256 --gpu-devices 0 1 --load-model-checkpoint=True
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --lr=1e-4 --experiment-name=VAE_bs_64 --gpu-devices 0 1 --load-model-checkpoint=True
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=15 --is-beta-VAE=True --beta=4 --lr=1e-4 --gpu-devices 0 1 --experiment-name=beta_VAE_bs_64_ls_15
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=20 --is-beta-VAE=True --beta=4 --lr=1e-4 --gpu-devices 0 1 --experiment-name=beta_VAE_bs_64_ls_20
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=5 --is-beta-VAE=True --beta=4 --lr=1e-4 --gpu-devices 0 1 --experiment-name=beta_VAE_bs_64_ls_5
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=5 --lr=1e-4 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_5
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=15 --lr=1e-4 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_15
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=20 --lr=1e-4 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_20
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --lr=5e-4 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_10_lr_5e_4
---batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --lr=1e-3 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_10_lr_1e_3
+--batch-size=256 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --lr=1e-4 --experiment-name=VAE_bs_256 --gpu-devices 0 1 --load-model-checkpoint=True --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --lr=1e-4 --experiment-name=VAE_bs_64 --gpu-devices 0 1 --load-model-checkpoint=True --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=15 --is-beta-VAE=True --beta=4 --lr=1e-4 --gpu-devices 0 1 --experiment-name=beta_VAE_bs_64_ls_15 --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=20 --is-beta-VAE=True --beta=4 --lr=1e-4 --gpu-devices 0 1 --experiment-name=beta_VAE_bs_64_ls_20 --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=5 --is-beta-VAE=True --beta=4 --lr=1e-4 --gpu-devices 0 1 --experiment-name=beta_VAE_bs_64_ls_5 --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=5 --lr=1e-4 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_5 --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=15 --lr=1e-4 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_15 --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=20 --lr=1e-4 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_20 --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --lr=5e-4 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_10_lr_5e_4 --load-model-checkpoint=True
+--batch-size=64 --dataset=rendered_chairs --epochs=400 --latent_spec_cont=10 --lr=1e-3 --gpu-devices 0 1 --experiment-name=VAE_bs_64_ls_10_lr_1e_3 --load-model-checkpoint=True
\ No newline at end of file
diff --git a/reconstruction_im/charis_VAE_bs_64_ls_15.png b/reconstruction_im/charis_VAE_bs_64_ls_15.png
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diff --git a/reconstruction_im/charis_VAE_bs_64_ls_20.png b/reconstruction_im/charis_VAE_bs_64_ls_20.png
new file mode 100644
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--
GitLab