Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
metafile.yml 3.97 KB
Newer Older
renzhc's avatar
first commit  
renzhc committed
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
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95 
Collections:
  - Name: Vision Transformer
    Metadata:
      Architecture:
        - Attention Dropout
        - Convolution
        - Dense Connections
        - Dropout
        - GELU
        - Layer Normalization
        - Multi-Head Attention
        - Scaled Dot-Product Attention
        - Tanh Activation
    Paper:
      Title: 'An Image is Worth 16x16 Words: Transformers for Image Recognition at
        Scale'
      URL: https://arxiv.org/abs/2010.11929
    README: configs/vision_transformer/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.17.0/mmcls/models/backbones/vision_transformer.py
      Version: v0.17.0

Models:
  - Name: vit-base-p32_in21k-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 13056716544
      Parameters: 88297192
      Training Data:
        - ImageNet-21k
        - ImageNet-1k
    In Collection: Vision Transformer
    Results:
      - Dataset: ImageNet-1k
        Task: Image Classification
        Metrics:
          Top 1 Accuracy: 84.01
          Top 5 Accuracy: 97.08
    Weights: https://download.openmmlab.com/mmclassification/v0/vit/finetune/vit-base-p32_in21k-pre-3rdparty_ft-64xb64_in1k-384_20210928-9cea8599.pth
    Config: configs/vision_transformer/vit-base-p32_64xb64_in1k-384px.py
    Converted From:
      Weights: https://console.cloud.google.com/storage/browser/_details/vit_models/augreg/B_32-i21k-300ep-lr_0.001-aug_light1-wd_0.1-do_0.0-sd_0.0--imagenet2012-steps_20k-lr_0.01-res_384.npz
      Code: https://github.com/google-research/vision_transformer/blob/88a52f8892c80c10de99194990a517b4d80485fd/vit_jax/models.py#L208
  - Name: vit-base-p16_32xb128-mae_in1k
    Metadata:
      FLOPs: 17581972224
      Parameters: 86567656
      Training Data:
        - ImageNet-1k
    In Collection: Vision Transformer
    Results:
      - Dataset: ImageNet-1k
        Task: Image Classification
        Metrics:
          Top 1 Accuracy: 82.37
          Top 5 Accuracy: 96.15
    Weights: https://download.openmmlab.com/mmclassification/v0/vit/vit-base-p16_pt-32xb128-mae_in1k_20220623-4c544545.pth
    Config: configs/vision_transformer/vit-base-p16_32xb128-mae_in1k.py
  - Name: vit-base-p16_in21k-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 55538974464
      Parameters: 86859496
      Training Data:
        - ImageNet-21k
        - ImageNet-1k
    In Collection: Vision Transformer
    Results:
      - Dataset: ImageNet-1k
        Task: Image Classification
        Metrics:
          Top 1 Accuracy: 85.43
          Top 5 Accuracy: 97.77
    Weights: https://download.openmmlab.com/mmclassification/v0/vit/finetune/vit-base-p16_in21k-pre-3rdparty_ft-64xb64_in1k-384_20210928-98e8652b.pth
    Config: configs/vision_transformer/vit-base-p16_64xb64_in1k-384px.py
    Converted From:
      Weights: https://console.cloud.google.com/storage/browser/_details/vit_models/augreg/B_16-i21k-300ep-lr_0.001-aug_medium1-wd_0.1-do_0.0-sd_0.0--imagenet2012-steps_20k-lr_0.03-res_384.npz
      Code: https://github.com/google-research/vision_transformer/blob/88a52f8892c80c10de99194990a517b4d80485fd/vit_jax/models.py#L208
  - Name: vit-large-p16_in21k-pre_3rdparty_in1k-384px
    Metadata:
      FLOPs: 191210034176
      Parameters: 304715752
      Training Data:
        - ImageNet-21k
        - ImageNet-1k
    In Collection: Vision Transformer
    Results:
      - Dataset: ImageNet-1k
        Task: Image Classification
        Metrics:
          Top 1 Accuracy: 85.63
          Top 5 Accuracy: 97.63
    Weights: https://download.openmmlab.com/mmclassification/v0/vit/finetune/vit-large-p16_in21k-pre-3rdparty_ft-64xb64_in1k-384_20210928-b20ba619.pth
    Config: configs/vision_transformer/vit-large-p16_64xb64_in1k-384px.py
    Converted From:
      Weights: https://console.cloud.google.com/storage/browser/_details/vit_models/augreg/L_16-i21k-300ep-lr_0.001-aug_strong1-wd_0.1-do_0.0-sd_0.0--imagenet2012-steps_20k-lr_0.01-res_384.npz
      Code: https://github.com/google-research/vision_transformer/blob/88a52f8892c80c10de99194990a517b4d80485fd/vit_jax/models.py#L208