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Group: cnnrnn-sweep-5
Name
52 visualized
frosty-sweep-9
frosty-sweep-9
prime-sweep-49
prime-sweep-49
eternal-sweep-22
eternal-sweep-22
true-sweep-30
true-sweep-30
ancient-sweep-43
ancient-sweep-43
fast-sweep-25
fast-sweep-25
floral-sweep-48
floral-sweep-48
ethereal-sweep-15
ethereal-sweep-15
charmed-sweep-18
charmed-sweep-18
fresh-sweep-45
fresh-sweep-45
exalted-sweep-40
exalted-sweep-40
iconic-sweep-28
iconic-sweep-28
morning-sweep-5
morning-sweep-5
cerulean-sweep-33
cerulean-sweep-33
curious-sweep-6
curious-sweep-6
copper-sweep-21
copper-sweep-21
floral-sweep-23
floral-sweep-23
helpful-sweep-50
helpful-sweep-50
young-sweep-17
young-sweep-17
solar-sweep-13
solar-sweep-13
1-20
of 52
20
40
60
80
100
120
140
160
180
200
220
240
260
batch_size
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
dropout
0.000
0.005
0.010
0.015
0.020
0.025
0.030
0.035
0.040
learning_rate
0.50
0.55
0.60
0.65
0.70
0.75
0.80
0.85
0.90
0.95
1.00
momentum
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
7.0
kernelsize
20
40
60
80
100
120
140
160
180
200
220
240
cnn_layer_size_1
20
40
60
80
100
120
140
160
180
200
220
240
gru_layer_size_1
kolding
strib
dataset
offset
standard
splitmethod
null
NaN
0.10
0.12
0.14
0.16
0.18
0.20
0.22
0.24
0.26
0.28
0.30
test_loss
null
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
best_val_loss
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