Arpastrana's workspace
Runs
44
Name
20 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
batch_size
beta
data_path
decoder_act_func
decoder_hidden_dim
decoder_pred_func
encoder_act_func
encoder_hidden_dim
epochs
group
input_dim
lr
optimizer_name
project
rec_loss
run_name
save_model
seed
test_num_img
wandb
z_dim
decoder_name
device
encoder_name
model
n_classes
optimizer
test_batcher
train_batcher
vae_name
single_label
use_single_label
Test Loss - KL Divergence
Test Loss - Reconstruction
Test Loss - Total
Train Loss - KL Divergence
Train Loss - Reconstruction
Train Loss - Total
Finished
arpastrana
57m 31s
-
100
30.625
../../../data/external
tanh
500
sigmoid
tanh
500
200
4_beta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
["beta_10_z_10","beta_1_z_10","beta_200_z_10","beta_20_z_10","beta_2_z_10","beta_3_z_10","beta_4_z_10","beta_5_z_10"]
true
1
10
true
10
LinearDecoder
cuda
LinearEncoder
BetaVAE(
(encoder): LinearEncoder(
(linear): Linear(in_features=784, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): LinearDecoder(
(linear): Linear(in_features=10, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
["<torch.utils.data.dataloader.DataLoader object at 0x7fd3da20e3c8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da22e940>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da28b7f0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da2a22e8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da2bbc18>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd7043c8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd7359e8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd751438>"]
["<torch.utils.data.dataloader.DataLoader object at 0x7fd3da20e0f0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da22e908>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da2a20b8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da2bb5c0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd704ac8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd7359b0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd751160>","<torch.utils.data.dataloader.DataLoader object at 0x7fd449395550>"]
BetaVAE
4
true
19.80166
116.83007
136.63173
19.95495
117.40715
137.36211
Finished
arpastrana
37m 29s
-
100
30.625
../../../data/external
tanh
500
sigmoid
tanh
500
100
4_beta_100_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
["beta_10_z_10","beta_1_z_10","beta_200_z_10","beta_20_z_10","beta_2_z_10","beta_3_z_10","beta_4_z_10","beta_5_z_10"]
true
1
10
true
10
LinearDecoder
cuda
LinearEncoder
BetaVAE(
(encoder): LinearEncoder(
(linear): Linear(in_features=784, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): LinearDecoder(
(linear): Linear(in_features=10, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
["<torch.utils.data.dataloader.DataLoader object at 0x7fd3da31fc50>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da352160>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da35bb38>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da3955c0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da3b4c50>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da3c2278>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da455a90>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da462588>"]
["<torch.utils.data.dataloader.DataLoader object at 0x7fd3da31fc18>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da352128>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da35bcc0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da3951d0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da3b4c18>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da3c22e8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da455a58>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da462748>"]
BetaVAE
4
true
19.21938
119.53905
138.75842
19.12504
120.62395
139.74899
Finished
arpastrana
26m 19s
-
100
30.625
../../../data/external
tanh
500
sigmoid
tanh
500
100
ones_beta_100_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
["beta_10_z_10","beta_1_z_10","beta_200_z_10","beta_20_z_10","beta_2_z_10","beta_3_z_10","beta_4_z_10","beta_5_z_10"]
true
1
10
true
10
LinearDecoder
cuda
LinearEncoder
BetaVAE(
(encoder): LinearEncoder(
(linear): Linear(in_features=784, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): LinearDecoder(
(linear): Linear(in_features=10, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
["<torch.utils.data.dataloader.DataLoader object at 0x7fd3da490240>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da4c8c18>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da4d5da0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da533080>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dad4c6a0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dad9b4a8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3de7c8a90>"]
["<torch.utils.data.dataloader.DataLoader object at 0x7fd3da467c18>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da490208>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da4c8278>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3da4d5d68>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dad4c668>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dad9b390>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3de7c8dd8>"]
BetaVAE
1
true
11.68074
59.12532
70.80606
11.90883
59.92869
71.83752
Crashed
Finished
arpastrana
1d 3h 36s
-
100
22.91667
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
["cond_beta_10_z_10","cond_beta_1_z_10","cond_beta_200_z_10","cond_beta_20_z_10","cond_beta_4_z_10","cond_beta_5_z_10","cond_beta_6_z_10","cond_beta_7_z_10","cond_beta_8_z_10","cond_beta_9_z_10"]
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
["<torch.utils.data.dataloader.DataLoader object at 0x7f006c183dd8>","<torch.utils.data.dataloader.DataLoader object at 0x7f006c1fe048>","<torch.utils.data.dataloader.DataLoader object at 0x7f006c247e80>","<torch.utils.data.dataloader.DataLoader object at 0x7f006c2c5668>","<torch.utils.data.dataloader.DataLoader object at 0x7f006c2db7f0>","<torch.utils.data.dataloader.DataLoader object at 0x7f008a7ad208>","<torch.utils.data.dataloader.DataLoader object at 0x7faf9d8895f8>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd65d518>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd66e470>"]
["<torch.utils.data.dataloader.DataLoader object at 0x7f006c183b38>","<torch.utils.data.dataloader.DataLoader object at 0x7f006c2127b8>","<torch.utils.data.dataloader.DataLoader object at 0x7f006c247be0>","<torch.utils.data.dataloader.DataLoader object at 0x7f006c2c52e8>","<torch.utils.data.dataloader.DataLoader object at 0x7f006c2db7b8>","<torch.utils.data.dataloader.DataLoader object at 0x7f008a8af128>","<torch.utils.data.dataloader.DataLoader object at 0x7faf9473c160>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd65d4e0>","<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd66e048>"]
ConditionalBetaVAE
4
false
19.38686
122.35224
141.7391
19.52522
122.7039
142.22912
Crashed
arpastrana
1h 18m 26s
-
100
9
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_9_z_10
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
<torch.utils.data.dataloader.DataLoader object at 0x7faf9d8895f8>
<torch.utils.data.dataloader.DataLoader object at 0x7faf9473c160>
ConditionalBetaVAE
4
false
20.11328
133.21731
153.33059
20.3259
133.43024
153.75614
Finished
arpastrana
35m 41s
-
100
8
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_8_z_10
true
1
10
true
10
ConditionalLinearDecoder
-
ConditionalLinearEncoder
-
10
-
-
-
ConditionalBetaVAE
4
false
21.44049
128.57717
150.01766
21.68834
128.74747
150.4358
Finished
arpastrana
55m 41s
-
100
7
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_7_z_10
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd66e470>
<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd66e048>
ConditionalBetaVAE
4
false
22.4829
124.48313
146.96603
22.60541
124.85539
147.4608
Finished
arpastrana
55m 40s
-
100
6
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_6_z_10
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd65d518>
<torch.utils.data.dataloader.DataLoader object at 0x7fd3dd65d4e0>
ConditionalBetaVAE
4
false
24.0661
118.96612
143.03222
24.07185
119.50252
143.57437
Finished
arpastrana
55m 49s
-
100
1
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_1_z_10
true
1
10
true
10
ConditionalLinearDecoder
-
ConditionalLinearEncoder
-
10
-
-
-
ConditionalBetaVAE
4
false
15.9487
85.13101
101.07972
16.05355
85.01109
101.06464
Crashed
arpastrana
1h 20m 3s
-
100
200
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_200_z_10
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
<torch.utils.data.dataloader.DataLoader object at 0x7f006c183dd8>
<torch.utils.data.dataloader.DataLoader object at 0x7f006c183b38>
ConditionalBetaVAE
-
-
0.0083531
171.6585
171.66685
0.0079595
172.95708
172.96504
Finished
arpastrana
36m 4s
-
100
20
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_20_z_10
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
<torch.utils.data.dataloader.DataLoader object at 0x7f006c2db7f0>
<torch.utils.data.dataloader.DataLoader object at 0x7f006c2db7b8>
ConditionalBetaVAE
-
-
9.60071
158.35382
167.95453
9.74949
158.756
168.50549
Finished
arpastrana
34m 56s
-
100
10
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_10_z_10
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
<torch.utils.data.dataloader.DataLoader object at 0x7f006c2c5668>
<torch.utils.data.dataloader.DataLoader object at 0x7f006c2c52e8>
ConditionalBetaVAE
-
-
18.13895
137.44431
155.58327
18.59719
137.35547
155.95266
Finished
arpastrana
34m 55s
-
100
5
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_5_z_10
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
<torch.utils.data.dataloader.DataLoader object at 0x7f006c1fe048>
<torch.utils.data.dataloader.DataLoader object at 0x7f006c2127b8>
ConditionalBetaVAE
-
-
25.98371
112.72094
138.70465
26.03523
113.2688
139.30402
Finished
arpastrana
35m 3s
-
100
4
../../../data/external
tanh
500
sigmoid
tanh
500
200
cond_multibeta_200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
cond_beta_4_z_10
true
1
10
true
10
ConditionalLinearDecoder
cuda
ConditionalLinearEncoder
ConditionalBetaVAE(
(encoder): ConditionalLinearEncoder(
(linear): Linear(in_features=794, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): ConditionalLinearDecoder(
(linear): Linear(in_features=20, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
<torch.utils.data.dataloader.DataLoader object at 0x7f006c247e80>
<torch.utils.data.dataloader.DataLoader object at 0x7f006c247be0>
ConditionalBetaVAE
-
-
26.53835
106.24386
132.78221
26.59144
106.67926
133.2707
Crashed
Finished
arpastrana
3d 1h 29m 37s
-
100
30.625
../../../data/external
tanh
500
sigmoid
tanh
500
200
200_epochs
784
0.01
Adagrad
beta_vae
binary_cross_entropy
["beta_10_z_10","beta_200_z_10","beta_20_z_10","beta_2_z_10","beta_3_z_10","beta_4_z_10","beta_5_z_10","z_10"]
true
1
10
true
10
LinearDecoder
cuda
LinearEncoder
BetaVAE(
(encoder): LinearEncoder(
(linear): Linear(in_features=784, out_features=500, bias=True)
(mean): Linear(in_features=500, out_features=10, bias=True)
(logvar): Linear(in_features=500, out_features=10, bias=True)
)
(decoder): LinearDecoder(
(linear): Linear(in_features=10, out_features=500, bias=True)
(output): Linear(in_features=500, out_features=784, bias=True)
)
)
10
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
["<torch.utils.data.dataloader.DataLoader object at 0x7fc47c33b320>","<torch.utils.data.dataloader.DataLoader object at 0x7fc47c360198>","<torch.utils.data.dataloader.DataLoader object at 0x7fc47c395b70>","<torch.utils.data.dataloader.DataLoader object at 0x7fc47c3e7908>","<torch.utils.data.dataloader.DataLoader object at 0x7fc490086358>"]
["<torch.utils.data.dataloader.DataLoader object at 0x7fc47c33b2e8>","<torch.utils.data.dataloader.DataLoader object at 0x7fc47c3600b8>","<torch.utils.data.dataloader.DataLoader object at 0x7fc47c395b38>","<torch.utils.data.dataloader.DataLoader object at 0x7fc47c3e7668>","<torch.utils.data.dataloader.DataLoader object at 0x7fc4900864a8>"]
BetaVAE
4
false
25.93924
131.17643
157.11568
25.91
131.56002
157.47002
1-5
of 5