Arpastrana's group workspace
Group: 200_epochs
State
Notes
User
Tags
Created
Runtime
Sweep
batch_size
beta
data_path
decoder_act_func
decoder_hidden_dim
decoder_name
decoder_pred_func
device
encoder_act_func
encoder_hidden_dim
encoder_name
epochs
group
input_dim
lr
model
n_classes
optimizer
optimizer_name
project
rec_loss
run_name
save_model
seed
single_label
test_batcher
test_num_img
train_batcher
use_single_label
vae_name
wandb
z_dim
Test Loss - KL Divergence
Test Loss - Reconstruction
Test Loss - Total
Train Loss - KL Divergence
Train Loss - Reconstruction
Train Loss - Total
Crashed
-
arpastrana
1h 5m 39s
-
100
1
../../../data/external
tanh
500
LinearDecoder
sigmoid
-
tanh
500
LinearEncoder
200
200_epochs
784
0.01
-
10
-
Adagrad
beta_vae
binary_cross_entropy
z_10
true
1
4
-
10
-
false
BetaVAE
true
10
18.54528
88.06616
106.61144
18.62369
87.83566
106.45935
Crashed
-
arpastrana
1h 30m 42s
-
100
4
../../../data/external
tanh
500
-
sigmoid
-
tanh
500
-
200
200_epochs
784
0.01
-
-
-
Adagrad
beta_vae
binary_cross_entropy
beta_4_z_10
true
1
-
-
10
-
-
-
true
10
37.67818
108.44758
146.12576
37.52538
109.05258
146.57796
Finished
-
arpastrana
38m 7s
-
100
200
../../../data/external
tanh
500
-
sigmoid
cuda
tanh
500
-
200
200_epochs
784
0.01
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)
)
)
-
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
Adagrad
beta_vae
binary_cross_entropy
beta_200_z_10
true
1
-
<torch.utils.data.dataloader.DataLoader object at 0x7fc47c3e7908>
10
<torch.utils.data.dataloader.DataLoader object at 0x7fc47c3e7668>
-
-
true
10
0.0096069
205.82931
205.83892
0.0092572
206.07468
206.08394
Finished
-
arpastrana
28m 2s
-
100
20
../../../data/external
tanh
500
-
sigmoid
cuda
tanh
500
-
200
200_epochs
784
0.01
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)
)
)
-
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
Adagrad
beta_vae
binary_cross_entropy
beta_20_z_10
true
1
-
<torch.utils.data.dataloader.DataLoader object at 0x7fc47c33b320>
10
<torch.utils.data.dataloader.DataLoader object at 0x7fc47c33b2e8>
-
-
true
10
12.62072
190.59539
203.2161
12.57437
190.80837
203.38275
Finished
-
arpastrana
27m 35s
-
100
10
../../../data/external
tanh
500
-
sigmoid
cuda
tanh
500
-
200
200_epochs
784
0.01
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)
)
)
-
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
Adagrad
beta_vae
binary_cross_entropy
beta_10_z_10
true
1
-
<torch.utils.data.dataloader.DataLoader object at 0x7fc47c360198>
10
<torch.utils.data.dataloader.DataLoader object at 0x7fc47c3600b8>
-
-
true
10
36.58197
145.00931
181.59128
36.4602
145.95701
182.41721
Finished
-
arpastrana
27m 45s
-
100
5
../../../data/external
tanh
500
-
sigmoid
cuda
tanh
500
-
200
200_epochs
784
0.01
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)
)
)
-
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
Adagrad
beta_vae
binary_cross_entropy
beta_5_z_10
true
1
-
<torch.utils.data.dataloader.DataLoader object at 0x7fc47c395b70>
10
<torch.utils.data.dataloader.DataLoader object at 0x7fc47c395b38>
-
-
true
10
39.69875
115.18082
154.87958
39.6168
116.03
155.6468
Finished
-
arpastrana
28m 46s
-
100
3
../../../data/external
tanh
500
-
sigmoid
cuda
tanh
500
-
200
200_epochs
784
0.01
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)
)
)
-
Adagrad (
Parameter Group 0
eps: 1e-10
initial_accumulator_value: 0
lr: 0.01
lr_decay: 0
weight_decay: 0
)
Adagrad
beta_vae
binary_cross_entropy
beta_3_z_10
true
1
-
<torch.utils.data.dataloader.DataLoader object at 0x7fc490086358>
10
<torch.utils.data.dataloader.DataLoader object at 0x7fc4900864a8>
-
-
true
10
34.29749
101.50842
135.8059
34.32576
101.83872
136.16448
Finished
-
arpastrana
29m 18s
-
100
2
../../../data/external
tanh
500
-
sigmoid
-
tanh
500
-
200
200_epochs
784
0.01
-
-
-
Adagrad
beta_vae
binary_cross_entropy
beta_2_z_10
true
1
-
-
10
-
-
-
true
10
28.08195
94.77448
122.85643
28.14458
94.88311
123.02769
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