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cifar10_swin-base

jialicheng / cifar10_swin-base

Run on huggingface.co
huggingface.co
Total runs: 13
24-hour runs: -1
7-day runs: 0
30-day runs: 9
Model's Last Updated: September 21 2025
image-classification

Introduction of cifar10_swin-base

Model Details of cifar10_swin-base

swin-base

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the cifar10 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0510
  • Accuracy: 0.9902
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: 1e-05
  • train_batch_size: 128
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 300
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 333 0.0707 0.9793
0.5232 2.0 666 0.0564 0.9829
0.5232 3.0 999 0.0495 0.9848
0.261 4.0 1332 0.0494 0.9849
0.2382 5.0 1665 0.0464 0.9858
0.2382 6.0 1998 0.0415 0.9874
0.2174 7.0 2331 0.0396 0.988
0.2067 8.0 2664 0.0424 0.9874
0.2067 9.0 2997 0.0376 0.9884
0.1955 10.0 3330 0.0432 0.9872
0.1911 11.0 3663 0.0397 0.988
0.1911 12.0 3996 0.0393 0.9894
0.1864 13.0 4329 0.0401 0.9886
0.1801 14.0 4662 0.0438 0.9869
0.1801 15.0 4995 0.0415 0.9881
0.1736 16.0 5328 0.0429 0.9887
0.1707 17.0 5661 0.0389 0.9892
0.1707 18.0 5994 0.0439 0.9876
0.1708 19.0 6327 0.0450 0.9875
0.1598 20.0 6660 0.0444 0.9881
0.1598 21.0 6993 0.0396 0.9894
0.1598 22.0 7326 0.0425 0.9884
0.1566 23.0 7659 0.0408 0.988
0.1566 24.0 7992 0.0464 0.988
0.1522 25.0 8325 0.0426 0.9888
0.1534 26.0 8658 0.0410 0.9895
0.1534 27.0 8991 0.0398 0.9904
0.1505 28.0 9324 0.0382 0.9906
0.1493 29.0 9657 0.0428 0.9892
0.1493 30.0 9990 0.0452 0.9891
0.1485 31.0 10323 0.0461 0.9891
0.1429 32.0 10656 0.0369 0.9901
0.1429 33.0 10989 0.0384 0.9904
0.1426 34.0 11322 0.0420 0.9896
0.1481 35.0 11655 0.0405 0.9894
0.1481 36.0 11988 0.0391 0.9898
0.1435 37.0 12321 0.0557 0.9875
0.14 38.0 12654 0.0409 0.989
0.14 39.0 12987 0.0416 0.989
0.1365 40.0 13320 0.0415 0.989
0.135 41.0 13653 0.0451 0.9892
0.135 42.0 13986 0.0416 0.9887
0.1348 43.0 14319 0.0412 0.9893
0.1346 44.0 14652 0.0445 0.9883
0.1346 45.0 14985 0.0478 0.9889
0.1357 46.0 15318 0.0403 0.9897
0.1276 47.0 15651 0.0456 0.9888
0.1276 48.0 15984 0.0418 0.9897
0.1285 49.0 16317 0.0404 0.9906
0.1281 50.0 16650 0.0404 0.9907
0.1281 51.0 16983 0.0416 0.9905
0.1265 52.0 17316 0.0394 0.9903
0.1261 53.0 17649 0.0412 0.9908
0.1261 54.0 17982 0.0474 0.9889
0.1247 55.0 18315 0.0409 0.9903
0.1242 56.0 18648 0.0405 0.9906
0.1242 57.0 18981 0.0401 0.99
0.1225 58.0 19314 0.0420 0.9891
0.1218 59.0 19647 0.0423 0.9898
0.1218 60.0 19980 0.0408 0.99
0.1213 61.0 20313 0.0436 0.9898
0.1199 62.0 20646 0.0447 0.9894
0.1199 63.0 20979 0.0440 0.9901
0.1179 64.0 21312 0.0423 0.9905
0.1187 65.0 21645 0.0400 0.9904
0.1187 66.0 21978 0.0411 0.9909
0.1181 67.0 22311 0.0451 0.9898
0.1185 68.0 22644 0.0438 0.9902
0.1185 69.0 22977 0.0447 0.9896
0.1156 70.0 23310 0.0410 0.9909
0.1187 71.0 23643 0.0459 0.9893
0.1187 72.0 23976 0.0513 0.9892
0.1178 73.0 24309 0.0437 0.9896
0.1133 74.0 24642 0.0419 0.9893
0.1133 75.0 24975 0.0464 0.9885
0.1169 76.0 25308 0.0518 0.9882
0.1127 77.0 25641 0.0504 0.9888
0.1127 78.0 25974 0.0413 0.9904
0.1141 79.0 26307 0.0432 0.9906
0.1125 80.0 26640 0.0455 0.9894
0.1125 81.0 26973 0.0494 0.9885
0.1108 82.0 27306 0.0462 0.9895
0.1124 83.0 27639 0.0468 0.9893
0.1124 84.0 27972 0.0445 0.9901
0.1111 85.0 28305 0.0460 0.9899
0.1122 86.0 28638 0.0456 0.99
0.1122 87.0 28971 0.0487 0.9892
0.1095 88.0 29304 0.0462 0.9903
0.1074 89.0 29637 0.0499 0.9889
0.1074 90.0 29970 0.0448 0.9894
0.1094 91.0 30303 0.0492 0.9895
0.109 92.0 30636 0.0487 0.9891
0.109 93.0 30969 0.0483 0.9887
0.1064 94.0 31302 0.0476 0.9889
0.1057 95.0 31635 0.0518 0.9891
0.1057 96.0 31968 0.0490 0.989
0.1048 97.0 32301 0.0452 0.9894
0.1053 98.0 32634 0.0457 0.9898
0.1053 99.0 32967 0.0450 0.99
0.1044 100.0 33300 0.0461 0.9894
0.103 101.0 33633 0.0444 0.9888
0.103 102.0 33966 0.0478 0.9892
0.1068 103.0 34299 0.0444 0.989
0.1027 104.0 34632 0.0457 0.9893
0.1027 105.0 34965 0.0450 0.989
0.1059 106.0 35298 0.0471 0.9889
0.1023 107.0 35631 0.0519 0.9885
0.1023 108.0 35964 0.0470 0.9894
0.1069 109.0 36297 0.0448 0.9898
0.1062 110.0 36630 0.0488 0.9891
0.1062 111.0 36963 0.0531 0.9876
0.0996 112.0 37296 0.0515 0.9891
0.1009 113.0 37629 0.0521 0.9879
0.1009 114.0 37962 0.0496 0.9885
0.0998 115.0 38295 0.0466 0.9895
0.1009 116.0 38628 0.0466 0.9895
0.1009 117.0 38961 0.0527 0.9889
0.1003 118.0 39294 0.0470 0.9892
0.1023 119.0 39627 0.0466 0.9898
0.1023 120.0 39960 0.0491 0.9887
0.0991 121.0 40293 0.0466 0.9894
0.0968 122.0 40626 0.0441 0.9898
0.0968 123.0 40959 0.0478 0.9891
0.0967 124.0 41292 0.0444 0.9896
0.1006 125.0 41625 0.0461 0.9887
0.1006 126.0 41958 0.0475 0.9899
0.0957 127.0 42291 0.0479 0.9891
0.0984 128.0 42624 0.0472 0.9897
0.0984 129.0 42957 0.0451 0.9887
0.0968 130.0 43290 0.0450 0.9897
0.0939 131.0 43623 0.0458 0.9897
0.0939 132.0 43956 0.0456 0.9896
0.0952 133.0 44289 0.0459 0.9893
0.0962 134.0 44622 0.0443 0.9903
0.0962 135.0 44955 0.0440 0.9899
0.0948 136.0 45288 0.0476 0.9904
0.0928 137.0 45621 0.0458 0.99
0.0928 138.0 45954 0.0476 0.9892
0.0923 139.0 46287 0.0462 0.9898
0.095 140.0 46620 0.0476 0.99
0.095 141.0 46953 0.0513 0.9895
0.0918 142.0 47286 0.0484 0.9893
0.0891 143.0 47619 0.0500 0.9895
0.0891 144.0 47952 0.0502 0.9894
0.0936 145.0 48285 0.0472 0.989
0.0926 146.0 48618 0.0477 0.9896
0.0926 147.0 48951 0.0488 0.9894
0.0903 148.0 49284 0.0518 0.9893
0.0911 149.0 49617 0.0422 0.9896
0.0911 150.0 49950 0.0416 0.9908
0.0885 151.0 50283 0.0462 0.9889
0.0913 152.0 50616 0.0522 0.9891
0.0913 153.0 50949 0.0484 0.9898
0.089 154.0 51282 0.0461 0.9897
0.0904 155.0 51615 0.0474 0.9891
0.0904 156.0 51948 0.0487 0.9886
0.0911 157.0 52281 0.0507 0.9891
0.0875 158.0 52614 0.0458 0.9895
0.0875 159.0 52947 0.0493 0.9893
0.0893 160.0 53280 0.0501 0.9889
0.0919 161.0 53613 0.0527 0.9885
0.0919 162.0 53946 0.0486 0.9887
0.0899 163.0 54279 0.0513 0.9886
0.0864 164.0 54612 0.0501 0.9899
0.0864 165.0 54945 0.0486 0.9894
0.0859 166.0 55278 0.0490 0.9894
0.0912 167.0 55611 0.0489 0.9898
0.0912 168.0 55944 0.0534 0.9885
0.0872 169.0 56277 0.0518 0.989
0.0906 170.0 56610 0.0545 0.9881
0.0906 171.0 56943 0.0531 0.989
0.087 172.0 57276 0.0526 0.9893
0.0832 173.0 57609 0.0511 0.9889
0.0832 174.0 57942 0.0492 0.9893
0.0879 175.0 58275 0.0493 0.9892
0.0885 176.0 58608 0.0506 0.9903
0.0885 177.0 58941 0.0508 0.9893
0.0839 178.0 59274 0.0497 0.9895
0.0834 179.0 59607 0.0536 0.9892
0.0834 180.0 59940 0.0515 0.9895
0.0894 181.0 60273 0.0513 0.9896
0.0857 182.0 60606 0.0515 0.9893
0.0857 183.0 60939 0.0529 0.9893
0.0844 184.0 61272 0.0503 0.9897
0.0853 185.0 61605 0.0505 0.9898
0.0853 186.0 61938 0.0565 0.9887
0.0853 187.0 62271 0.0520 0.9894
0.0821 188.0 62604 0.0551 0.9896
0.0821 189.0 62937 0.0553 0.9894
0.0833 190.0 63270 0.0623 0.9887
0.0857 191.0 63603 0.0549 0.9891
0.0857 192.0 63936 0.0537 0.989
0.0848 193.0 64269 0.0524 0.9896
0.0852 194.0 64602 0.0508 0.9897
0.0852 195.0 64935 0.0528 0.9892
0.0828 196.0 65268 0.0517 0.99
0.0807 197.0 65601 0.0503 0.9896
0.0807 198.0 65934 0.0507 0.9899
0.0846 199.0 66267 0.0496 0.9897
0.0813 200.0 66600 0.0514 0.9903
0.0813 201.0 66933 0.0485 0.9902
0.0782 202.0 67266 0.0510 0.9895
0.0835 203.0 67599 0.0492 0.9904
0.0835 204.0 67932 0.0553 0.9894
0.0832 205.0 68265 0.0504 0.9896
0.0822 206.0 68598 0.0522 0.9902
0.0822 207.0 68931 0.0516 0.99
0.0839 208.0 69264 0.0512 0.9903
0.0808 209.0 69597 0.0560 0.9901
0.0808 210.0 69930 0.0475 0.991
0.081 211.0 70263 0.0507 0.9896
0.0818 212.0 70596 0.0522 0.9899
0.0818 213.0 70929 0.0507 0.9908
0.0814 214.0 71262 0.0507 0.9905
0.0807 215.0 71595 0.0504 0.9904
0.0807 216.0 71928 0.0530 0.9893
0.0816 217.0 72261 0.0519 0.9904
0.0778 218.0 72594 0.0529 0.9902
0.0778 219.0 72927 0.0516 0.9903
0.0808 220.0 73260 0.0515 0.9902
0.0789 221.0 73593 0.0504 0.9903
0.0789 222.0 73926 0.0522 0.9903
0.0791 223.0 74259 0.0524 0.9895
0.0797 224.0 74592 0.0529 0.9896
0.0797 225.0 74925 0.0530 0.9894
0.0753 226.0 75258 0.0526 0.9901
0.0791 227.0 75591 0.0532 0.99
0.0791 228.0 75924 0.0549 0.99
0.0799 229.0 76257 0.0524 0.9899
0.0768 230.0 76590 0.0531 0.9899
0.0768 231.0 76923 0.0545 0.9899
0.0765 232.0 77256 0.0523 0.9901
0.08 233.0 77589 0.0529 0.9895
0.08 234.0 77922 0.0527 0.9898
0.0775 235.0 78255 0.0527 0.99
0.0749 236.0 78588 0.0515 0.9895
0.0749 237.0 78921 0.0535 0.9898
0.0791 238.0 79254 0.0521 0.9903
0.0777 239.0 79587 0.0528 0.9898
0.0777 240.0 79920 0.0534 0.9894
0.0773 241.0 80253 0.0521 0.9899
0.0747 242.0 80586 0.0543 0.9903
0.0747 243.0 80919 0.0551 0.9903
0.0761 244.0 81252 0.0528 0.9903
0.0729 245.0 81585 0.0526 0.9903
0.0729 246.0 81918 0.0542 0.9903
0.0774 247.0 82251 0.0527 0.9903
0.0783 248.0 82584 0.0528 0.9897
0.0783 249.0 82917 0.0525 0.9901
0.0738 250.0 83250 0.0511 0.9901
0.0769 251.0 83583 0.0515 0.99
0.0769 252.0 83916 0.0515 0.9905
0.0744 253.0 84249 0.0512 0.9898
0.0769 254.0 84582 0.0513 0.9904
0.0769 255.0 84915 0.0505 0.9902
0.0746 256.0 85248 0.0506 0.9902
0.0802 257.0 85581 0.0518 0.9903
0.0802 258.0 85914 0.0527 0.9903
0.0746 259.0 86247 0.0509 0.9902
0.0751 260.0 86580 0.0499 0.9907
0.0751 261.0 86913 0.0508 0.9903
0.0742 262.0 87246 0.0498 0.9903
0.0756 263.0 87579 0.0509 0.9902
0.0756 264.0 87912 0.0508 0.99
0.0718 265.0 88245 0.0520 0.9897
0.0776 266.0 88578 0.0520 0.9899
0.0776 267.0 88911 0.0524 0.9898
0.073 268.0 89244 0.0520 0.9898
0.0743 269.0 89577 0.0513 0.9899
0.0743 270.0 89910 0.0517 0.9897
0.0747 271.0 90243 0.0507 0.9899
0.0742 272.0 90576 0.0502 0.9905
0.0742 273.0 90909 0.0503 0.9903
0.074 274.0 91242 0.0505 0.9903
0.0753 275.0 91575 0.0509 0.9904
0.0753 276.0 91908 0.0497 0.99
0.0747 277.0 92241 0.0503 0.99
0.0744 278.0 92574 0.0515 0.9901
0.0744 279.0 92907 0.0508 0.9903
0.0739 280.0 93240 0.0500 0.9901
0.0734 281.0 93573 0.0504 0.9901
0.0734 282.0 93906 0.0512 0.99
0.0721 283.0 94239 0.0509 0.9899
0.0701 284.0 94572 0.0506 0.9901
0.0701 285.0 94905 0.0512 0.9902
0.0714 286.0 95238 0.0508 0.9902
0.0728 287.0 95571 0.0509 0.9905
0.0728 288.0 95904 0.0512 0.9905
0.0703 289.0 96237 0.0511 0.9904
0.0728 290.0 96570 0.0506 0.9902
0.0728 291.0 96903 0.0510 0.9907
0.0725 292.0 97236 0.0509 0.9901
0.0723 293.0 97569 0.0511 0.9902
0.0723 294.0 97902 0.0514 0.9903
0.0722 295.0 98235 0.0513 0.9905
0.0726 296.0 98568 0.0512 0.99
0.0726 297.0 98901 0.0512 0.9902
0.0724 298.0 99234 0.0511 0.9902
0.0735 299.0 99567 0.0511 0.9902
0.0735 300.0 99900 0.0510 0.9902
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.2.2+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of jialicheng cifar10_swin-base on huggingface.co

13
Total runs
-1
24-hour runs
-1
3-day runs
0
7-day runs
9
30-day runs

More Information About cifar10_swin-base huggingface.co Model

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https://choosealicense.com/licenses/apache-2.0

cifar10_swin-base huggingface.co

cifar10_swin-base huggingface.co is an AI model on huggingface.co that provides cifar10_swin-base's model effect (), which can be used instantly with this jialicheng cifar10_swin-base model. huggingface.co supports a free trial of the cifar10_swin-base model, and also provides paid use of the cifar10_swin-base. Support call cifar10_swin-base model through api, including Node.js, Python, http.

cifar10_swin-base huggingface.co Url

https://huggingface.co/jialicheng/cifar10_swin-base

jialicheng cifar10_swin-base online free

cifar10_swin-base huggingface.co is an online trial and call api platform, which integrates cifar10_swin-base's modeling effects, including api services, and provides a free online trial of cifar10_swin-base, you can try cifar10_swin-base online for free by clicking the link below.

jialicheng cifar10_swin-base online free url in huggingface.co:

https://huggingface.co/jialicheng/cifar10_swin-base

cifar10_swin-base install

cifar10_swin-base is an open source model from GitHub that offers a free installation service, and any user can find cifar10_swin-base on GitHub to install. At the same time, huggingface.co provides the effect of cifar10_swin-base install, users can directly use cifar10_swin-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

cifar10_swin-base install url in huggingface.co:

https://huggingface.co/jialicheng/cifar10_swin-base

Url of cifar10_swin-base

cifar10_swin-base huggingface.co Url

Provider of cifar10_swin-base huggingface.co

jialicheng
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