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Higher learning rate = higher accuracy
Lukas Biewald
Created on October 19
|
Last edited on October 19
Comment
Section 1
Parameter importance with respect to
acc
Parameters
1-10
of 18
Config parameter
Importance
Correlation
num_valid
num_valid
encoder.value_alexnet
encoder.value_alexnet
num_train
num_train
weight_decay
weight_decay
learning_rate
learning_rate
epochs
epochs
batch_size
batch_size
bn_weight_decay
bn_weight_decay
training_stages
training_stages
encoder.value_resnet18
encoder.value_resnet18
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iou
iou
Showing first 10 runs
0
5
10
15
Step
0.4
0.5
0.6
0.7
human_acc, iou, car_acc
human_acc, iou, car_acc
2
4
6
8
10
Time (minutes)
0
0.2
0.4
0.6
0.8
road_acc, car_acc
road_acc, car_acc
0
5
10
15
Step
0.2
0.4
0.6
0.8
Run set
224
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