Balthazarneveu's workspace
Runs
24
Name
14 visualized
dice
model.name
model.n_params
loss
data_loader.batch_size.train
model.receptive_field
model.architecture.encoders
model.architecture.decoders
model.architecture.thickness
Tags
0.588
MicroConv
1645
dice_bce
128
[18,18]
-
-
-
latest
0.61967
StackedConvolutions
476935
dice_bce
128
[11,21]
-
-
-
latest
0.63618
VanillaConvolutionStack
260161
dice_bce
128
[11,11]
-
-
-
latest
0.64655
StackedConvolutions
476935
dice_bce
32
[11,21]
-
-
-
latest
0.67805
FlexibleUNET
25409
dice_bce
128
[81,81]
[4,2,1]
[1,2,4]
4
latest
0.70013
StackedConvolutions
1904135
dice_bce
32
[11,21]
-
-
-
latest
0.70016
UNet
775362
dice_bce
128
[27,27]
-
-
-
latest
0.70927
FlexibleUNET
219521
dice_bce
128
[45,45]
[4,2]
[2,4]
16
latest
0.73432
FlexibleUNET
101217
dice_bce
128
[81,81]
[4,2,1]
[1,2,4]
8
latest
0.73516
FlexibleUNET
404033
dice_bce
128
[81,81]
[4,2,1]
[1,2,4]
16
latest
0.76004
FlexibleUNET
404033
dice_bce
32
[81,81]
[4,2,1]
[1,2,4]
16
latest
0.76336
FlexibleUNET
576721
dice_bce
128
[73,73]
[2,1,1]
[2,1,1]
16
latest
0.77815
FlexibleUNET
1049921
dice_bce
128
[121,121]
[8,4,2]
[2,4,8]
16
latest
0.79077
FlexibleUNET
6454529
dice_bce
128
[81,81]
[4,2,1]
[1,2,4]
64
latest
1-14
of 14Training loss
Training loss