-
Notifications
You must be signed in to change notification settings - Fork 280
/
template_config.json
66 lines (66 loc) · 1.8 KB
/
template_config.json
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
63
64
65
66
{
"name": "classification_task",
"num_epochs": 2,
"loss": {
"name": "my_loss"
},
"dataset": {
"train": {
"name": "my_dataset",
"crop_size": 224,
"class_ratio": 0.5,
"num_samples": 320,
"seed": 0,
"batchsize_per_replica": 32,
"use_shuffle": true,
"transforms": [{"name": "generic_image_transform", "transforms": [
{"name": "RandomResizedCrop", "size": 224},
{"name": "RandomHorizontalFlip"},
{"name": "ToTensor"},
{
"name": "Normalize",
"mean": [0.485, 0.456, 0.406],
"std": [0.229, 0.224, 0.225]
}
]}]
},
"test": {
"name": "my_dataset",
"crop_size": 224,
"class_ratio": 0.5,
"num_samples": 100,
"seed": 1,
"batchsize_per_replica": 32,
"use_shuffle": false,
"transforms": [{"name": "generic_image_transform", "transforms": [
{"name": "Resize", "size": 256},
{"name": "CenterCrop", "size": 224},
{"name": "ToTensor"},
{
"name": "Normalize",
"mean": [0.485, 0.456, 0.406],
"std": [0.229, 0.224, 0.225]
}
]}]
}
},
"meters": {
"accuracy": {
"topk": [1]
}
},
"model": {
"name": "my_model"
},
"optimizer": {
"name": "sgd",
"param_schedulers": {
"lr": {
"name": "step",
"values": [0.1, 0.01]
}
},
"weight_decay": 1e-4,
"momentum": 0.9
}
}