mrm8488 / vit-base-patch16-224-pretrained-cifar10

huggingface.co
Total runs: 19
24-hour runs: 0
7-day runs: 0
30-day runs: -16
Model's Last Updated: April 19 2022

Introduction of vit-base-patch16-224-pretrained-cifar10

Model Details of vit-base-patch16-224-pretrained-cifar10

ViT pre-trained from scratch on CIFAR10

This model is a ViT (with the same arch as Google's vit-base-patch16-224 pre-trained from scratch on the cifar10 dataset for masked image modeling.

It achieves the following results on the evaluation set:

  • Loss: 0.0891
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100.0
Training results
Training Loss Epoch Step Validation Loss
0.289 1.0 2657 0.2941
0.2858 2.0 5314 0.2809
0.2693 3.0 7971 0.2738
0.2578 4.0 10628 0.2546
0.2211 5.0 13285 0.2153
0.1799 6.0 15942 0.1795
0.158 7.0 18599 0.1623
0.1481 8.0 21256 0.1453
0.1391 9.0 23913 0.1368
0.1348 10.0 26570 0.1354
0.129 11.0 29227 0.1249
0.126 12.0 31884 0.1229
0.1216 13.0 34541 0.1184
0.1175 14.0 37198 0.1185
0.1137 15.0 39855 0.1146
0.1125 16.0 42512 0.1117
0.1112 17.0 45169 0.1100
0.1108 18.0 47826 0.1089
0.1061 19.0 50483 0.1070
0.1073 20.0 53140 0.1076
0.1066 21.0 55797 0.1061
0.1065 22.0 58454 0.1056
0.1045 23.0 61111 0.1037
0.1052 24.0 63768 0.1055
0.102 25.0 66425 0.1028
0.1025 26.0 69082 0.1034
0.1037 27.0 71739 0.1025
0.1022 28.0 74396 0.1014
0.1026 29.0 77053 0.1011
0.1022 30.0 79710 0.1001
0.0997 31.0 82367 0.1007
0.0998 32.0 85024 0.1016
0.1019 33.0 87681 0.1008
0.0999 34.0 90338 0.1000
0.0998 35.0 92995 0.0993
0.0994 36.0 95652 0.0992
0.0966 37.0 98309 0.0991
0.0997 38.0 100966 0.0970
0.0991 39.0 103623 0.0979
0.099 40.0 106280 0.0983
0.0974 41.0 108937 0.0980
0.0974 42.0 111594 0.0971
0.0972 43.0 114251 0.0970
0.0991 44.0 116908 0.0970
0.0979 45.0 119565 0.0972
0.097 46.0 122222 0.0970
0.0936 47.0 124879 0.0967
0.0948 48.0 127536 0.0967
0.0974 49.0 130193 0.0954
0.0958 50.0 132850 0.0954
0.0948 51.0 135507 0.0955
0.095 52.0 138164 0.0953
0.0939 53.0 140821 0.0945
0.0961 54.0 143478 0.0948
0.0964 55.0 146135 0.0955
0.0934 56.0 148792 0.0948
0.0965 57.0 151449 0.0943
0.0966 58.0 154106 0.0941
0.0926 59.0 156763 0.0938
0.0928 60.0 159420 0.0942
0.093 61.0 162077 0.0936
0.0939 62.0 164734 0.0939
0.0936 63.0 167391 0.0936
0.093 64.0 170048 0.0929
0.0929 65.0 172705 0.0930
0.0917 66.0 175362 0.0925
0.0948 67.0 178019 0.0932
0.0931 68.0 180676 0.0927
0.0911 69.0 183333 0.0922
0.0923 70.0 185990 0.0924
0.0923 71.0 188647 0.0923
0.0929 72.0 191304 0.0919
0.0916 73.0 193961 0.0923
0.0927 74.0 196618 0.0921
0.0907 75.0 199275 0.0922
0.0927 76.0 201932 0.0919
0.0925 77.0 204589 0.0913
0.0921 78.0 207246 0.0917
0.0895 79.0 209903 0.0912
0.0916 80.0 212560 0.0914
0.09 81.0 215217 0.0909
0.0916 82.0 217874 0.0908
0.0902 83.0 220531 0.0907
0.0911 84.0 223188 0.0910
0.091 85.0 225845 0.0903
0.0903 86.0 228502 0.0905
0.0907 87.0 231159 0.0901
0.0908 88.0 233816 0.0907
0.0911 89.0 236473 0.0902
0.0905 90.0 239130 0.0906
0.089 91.0 241787 0.0901
0.0908 92.0 244444 0.0896
0.0894 93.0 247101 0.0892
0.0899 94.0 249758 0.0893
0.0899 95.0 252415 0.0897
0.0904 96.0 255072 0.0898
0.0906 97.0 257729 0.0894
0.0892 98.0 260386 0.0894
0.0881 99.0 263043 0.0892
0.09 100.0 265700 0.0894
Framework versions
  • Transformers 4.19.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 2.0.0
  • Tokenizers 0.11.6

Runs of mrm8488 vit-base-patch16-224-pretrained-cifar10 on huggingface.co

19
Total runs
0
24-hour runs
-1
3-day runs
0
7-day runs
-16
30-day runs

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