Nime6's workspace
Runs
10
State
Notes
User
Tags
Created
Runtime
Sweep
TEST
activation
architecture
batch_size
data_aug
data_split
dataset
epochs
kernel_and_pad
l2_lambda
learning_rate
loss
optimizer
out_channels
report_freq
resume
skips
split
task
vox_threshold
sample_size
Filled Voxel
Training Parameters
acc
bce_loss
loss
mse_loss
val_acc
val_loss
Finished
-
nime6
4h 40m 36s
false
sigmoid
3D TopOpt
16
true
[0.8,0.2]
Chairs 30x50x30
200
[5,2]
1
0.0001
mse-loss
adam
32
10
[true,true]
train
TO
0.75
-
12572
753168
0.94572
0.064795
0.084735
0.019941
0.92432
0.13508
Finished
-
nime6
3h 51m 47s
false
sigmoid
3D TopOpt
16
true
[0.7,0.3]
Chairs 30x50x30
200
[5,2]
1
0.0001
mse-loss
adam
32
10
[true,true]
train
TO
0.75
-
12554
753168
0.94607
0.066725
0.087468
0.020743
0.91432
0.16939
Finished
-
nime6
3h 34m 17s
false
sigmoid
3D TopOpt
16
true
[0.6,0.4]
Chairs 30x50x30
200
[5,2]
1
0.0001
mse-loss
adam
32
10
[true,true]
train
TO
0.75
-
12582
753168
0.9503
0.047344
0.06197
0.014626
0.90554
0.2121
Finished
-
nime6
1h 35m 14s
false
sigmoid
3D TopOpt
16
false
[0.7,0.3]
Chairs 30x50x30
200
[5,2]
1
0.0001
mse-loss
adam
32
10
[true,true]
train
TO
0.75
-
12971
753168
0.97551
0.10865
0.13806
0.029413
0.8626
0.51543
Finished
-
nime6
1h 51m 44s
false
sigmoid
3D TopOpt
16
false
[0.8,0.2]
Chairs 30x50x30
200
[5,2]
1
0.0001
mse-loss
adam
32
10
[true,true]
train
TO
0.75
-
12989
753168
0.97473
0.024477
0.031959
0.0074819
0.85969
0.44661
Finished
-
nime6
1h 45m 10s
false
sigmoid
3D TopOpt
16
false
[0.6,0.4]
Chairs 30x50x30
200
[5,2]
1
0.0001
mse-loss
adam
32
10
[true,true]
train
TO
0.75
-
12968
753168
0.9776
0.025042
0.0327
0.0076575
0.85204
0.45248
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