Kad99kev's workspace
Runs
5
State
Notes
User
Tags
Created
Runtime
Sweep
base_model
batch_size
dataset
decay
dropout
epochs
hardware
image_channels
image_size
init_lr
model
n_classes
test_size
total_params
train_size
trainable
trainable_params
accuracy
best_epoch
best_val_loss
epoch
loss
top_k_categorical_accuracy
val_accuracy
val_loss
val_top_k_categorical_accuracy
Finished
-
kad99kev
31m 22s
-
-
64
cifar10
0.96
0.4
10
Apple M1
3
128
0.0005
MobileNetV2
10
10000
2270794
50000
false
12810
0.74732
0
4.04282
9
0.74088
0.98092
0.25766
4.63234
0.61933
Finished
-
kad99kev
31m 18s
-
-
64
cifar10
0.96
0.4
10
Apple M1
3
128
0.0005
MobileNetV2
10
10000
2270794
50000
false
12810
0.74634
0
4.09353
9
0.74092
0.98186
0.25488
4.68262
0.61903
Finished
-
kad99kev
1h 43m 52s
-
-
64
cifar10
0.96
0.4
10
Apple Intel
3
128
0.0005
MobileNetV2
10
10000
2270794
50000
false
12810
0.69498
9
0.73605
9
0.87538
0.97454
0.75129
0.73605
0.98398
Failed
-
kad99kev
35m 29s
-
-
64
cifar10
0.96
0.4
10
Apple M1
3
128
0.0005
MobileNetV2
10
10000
2270794
50000
false
12810
0.74836
9
0.69894
9
0.74253
0.98196
0.75209
0.69894
0.98587
Failed
-
kad99kev
21m 42s
-
-
64
cifar10
0.96
0.4
10
NVIDIA
3
128
0.0005
MobileNetV2
10
10000
2270794
50000
false
12810
0.69246
7
0.74364
9
0.87945
0.97488
0.74383
0.74564
0.98268
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