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Created on January 4|Last edited on January 9

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5001k1.5k2k2.5kepoch0.40.60.8
5001k1.5k2k2.5kepoch0.60.811.2
5001k1.5k2k2.5kepoch0.40.60.81
EEGNet
1
sweep: model architecture
0
sweep: training parameters
0
Name
1 visualized
Tags
is_val
S01
S02
S03
S04
S05
S06
S07
S08
S09
Mean
EEGNet
true
0.78125
0.54861
0.85417
0.56597
0.66667
0.55208
0.85764
0.81944
0.6875
0.7037
epochs
lr
wd
eta_min
scheduler
batch_size
seed
sweep_type
arch.T1
arch.T2
arch.F1
arch.D
model_params
3000
0.002
0.002
0
cosine
72
42
-
125
33
8
2
2732
1-1
of 1