-
Notifications
You must be signed in to change notification settings - Fork 1.5k
/
cli-automl-img-cls-mc-task-fridge-items.yml
62 lines (52 loc) · 1.39 KB
/
cli-automl-img-cls-mc-task-fridge-items.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
$schema: https://azuremlsdk2.blob.core.windows.net/preview/0.0.1/autoMLJob.schema.json
type: automl
experiment_name: dpv2-cli-automl-image-classification-experiment
description: A multi-class Image classification job using fridge items dataset
compute: azureml:gpu-cluster
task: image_classification
log_verbosity: debug
primary_metric: accuracy
target_column_name: label
training_data:
# Update the path, if prepare_data.py is using data_path other than "./data"
path: data/training-mltable-folder
type: mltable
validation_data:
# Update the path, if prepare_data.py is using data_path other than "./data"
path: data/validation-mltable-folder
type: mltable
limits:
timeout_minutes: 60
max_trials: 10
max_concurrent_trials: 2
training_parameters:
early_stopping: True
evaluation_frequency: 1
sweep:
sampling_algorithm: random
early_termination:
type: bandit
evaluation_interval: 2
slack_factor: 0.2
delay_evaluation: 6
search_space:
- model_name:
type: choice
values: [vitb16r224, vits16r224]
learning_rate:
type: uniform
min_value: 0.001
max_value: 0.01
number_of_epochs:
type: choice
values: [15, 30]
- model_name:
type: choice
values: [seresnext, resnet50]
learning_rate:
type: uniform
min_value: 0.001
max_value: 0.01
layers_to_freeze:
type: choice
values: [0, 2]