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segformer-b0-finetuned-net-19Aug

Image Segmentation
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segformer
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metadata
library_name: transformers
license: other
base_model: PushkarA07/segformer-b0-finetuned-net-19Aug
tags:
  - vision
  - image-segmentation
  - generated_from_trainer
model-index:
  - name: segformer-b0-finetuned-net-19Aug
    results: []

segformer-b0-finetuned-net-19Aug

This model is a fine-tuned version of PushkarA07/segformer-b0-finetuned-net-19Aug on the PushkarA07/batch2-tiles_W5 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0050
  • Mean Iou: 0.8483
  • Mean Accuracy: 0.8889
  • Overall Accuracy: 0.9981
  • Accuracy Abnormality: 0.7785
  • Iou Abnormality: 0.6985

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: 6e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Abnormality Iou Abnormality
0.0036 0.5556 10 0.0049 0.8518 0.8990 0.9982 0.7988 0.7054
0.0049 1.1111 20 0.0052 0.8395 0.8672 0.9981 0.7349 0.6809
0.004 1.6667 30 0.0049 0.8521 0.9020 0.9981 0.8047 0.7060
0.0094 2.2222 40 0.0052 0.8364 0.8607 0.9981 0.7218 0.6748
0.0043 2.7778 50 0.0050 0.8444 0.8769 0.9981 0.7544 0.6906
0.0028 3.3333 60 0.0049 0.8519 0.9072 0.9981 0.8153 0.7056
0.0076 3.8889 70 0.0049 0.8476 0.8827 0.9982 0.7659 0.6970
0.0121 4.4444 80 0.0049 0.8495 0.8892 0.9982 0.7791 0.7008
0.0091 5.0 90 0.0049 0.8505 0.8965 0.9981 0.7936 0.7029
0.0121 5.5556 100 0.0053 0.8361 0.8640 0.9981 0.7284 0.6742
0.0043 6.1111 110 0.0051 0.8504 0.9072 0.9981 0.8153 0.7027
0.0097 6.6667 120 0.0051 0.8495 0.9022 0.9981 0.8053 0.7009
0.006 7.2222 130 0.0052 0.8389 0.8666 0.9981 0.7337 0.6796
0.0046 7.7778 140 0.0051 0.8499 0.9008 0.9981 0.8024 0.7017
0.0089 8.3333 150 0.0054 0.8260 0.8431 0.9980 0.6864 0.6540
0.0053 8.8889 160 0.0050 0.8500 0.8946 0.9981 0.7899 0.7018
0.0058 9.4444 170 0.0050 0.8481 0.8873 0.9981 0.7753 0.6980
0.0063 10.0 180 0.0049 0.8480 0.8829 0.9982 0.7664 0.6978
0.0043 10.5556 190 0.0050 0.8508 0.8998 0.9981 0.8004 0.7034
0.0071 11.1111 200 0.0050 0.8455 0.8765 0.9982 0.7535 0.6928
0.0021 11.6667 210 0.0049 0.8512 0.8902 0.9982 0.7810 0.7042
0.0025 12.2222 220 0.0050 0.8509 0.8998 0.9981 0.8003 0.7037
0.0056 12.7778 230 0.0050 0.8453 0.8825 0.9981 0.7656 0.6925
0.004 13.3333 240 0.0050 0.8485 0.8893 0.9981 0.7792 0.6988
0.0043 13.8889 250 0.0049 0.8503 0.8872 0.9982 0.7750 0.7024
0.0088 14.4444 260 0.0048 0.8530 0.8973 0.9982 0.7952 0.7079
0.0061 15.0 270 0.0049 0.8474 0.8822 0.9982 0.7649 0.6967
0.0046 15.5556 280 0.0050 0.8491 0.8925 0.9981 0.7857 0.7000
0.005 16.1111 290 0.0049 0.8503 0.8897 0.9982 0.7801 0.7024
0.0055 16.6667 300 0.0051 0.8432 0.8733 0.9981 0.7472 0.6882
0.0071 17.2222 310 0.0050 0.8468 0.8848 0.9981 0.7701 0.6954
0.004 17.7778 320 0.0050 0.8494 0.8920 0.9981 0.7846 0.7007
0.0096 18.3333 330 0.0051 0.8405 0.8697 0.9981 0.7399 0.6829
0.0054 18.8889 340 0.0050 0.8535 0.9063 0.9982 0.8135 0.7088
0.0068 19.4444 350 0.0050 0.8483 0.8860 0.9982 0.7727 0.6984
0.0048 20.0 360 0.0050 0.8457 0.8789 0.9981 0.7583 0.6933
0.0054 20.5556 370 0.0050 0.8487 0.8863 0.9982 0.7733 0.6993
0.0052 21.1111 380 0.0050 0.8484 0.8872 0.9982 0.7750 0.6987
0.0048 21.6667 390 0.0051 0.8517 0.9094 0.9981 0.8197 0.7053
0.0036 22.2222 400 0.0049 0.8472 0.8819 0.9982 0.7644 0.6962
0.0052 22.7778 410 0.0049 0.8526 0.9049 0.9981 0.8106 0.7071
0.0129 23.3333 420 0.0052 0.8368 0.8638 0.9981 0.7280 0.6756
0.0065 23.8889 430 0.0049 0.8510 0.8997 0.9981 0.8002 0.7039
0.0047 24.4444 440 0.0050 0.8448 0.8802 0.9981 0.7610 0.6914
0.0065 25.0 450 0.0050 0.8496 0.8990 0.9981 0.7988 0.7010
0.0089 25.5556 460 0.0050 0.8477 0.8914 0.9981 0.7835 0.6972
0.0056 26.1111 470 0.0050 0.8510 0.9024 0.9981 0.8056 0.7039
0.0053 26.6667 480 0.0051 0.8391 0.8671 0.9981 0.7346 0.6802
0.0143 27.2222 490 0.0049 0.8502 0.8926 0.9982 0.7860 0.7022
0.0117 27.7778 500 0.0049 0.8479 0.8883 0.9981 0.7772 0.6978
0.0051 28.3333 510 0.0051 0.8474 0.8915 0.9981 0.7837 0.6968
0.0059 28.8889 520 0.0050 0.8475 0.8870 0.9981 0.7746 0.6969
0.0053 29.4444 530 0.0050 0.8436 0.8757 0.9981 0.7520 0.6890
0.0079 30.0 540 0.0050 0.8476 0.8832 0.9982 0.7670 0.6971
0.0046 30.5556 550 0.0049 0.8504 0.8961 0.9981 0.7929 0.7026
0.0091 31.1111 560 0.0049 0.8484 0.8866 0.9982 0.7738 0.6986
0.0052 31.6667 570 0.0049 0.8502 0.8930 0.9982 0.7866 0.7022
0.0044 32.2222 580 0.0050 0.8451 0.8784 0.9981 0.7574 0.6922
0.0068 32.7778 590 0.0049 0.8512 0.8941 0.9982 0.7889 0.7042
0.0068 33.3333 600 0.0050 0.8506 0.8976 0.9981 0.7960 0.7030
0.0129 33.8889 610 0.0050 0.8498 0.8949 0.9981 0.7905 0.7016
0.0035 34.4444 620 0.0050 0.8495 0.8905 0.9982 0.7817 0.7008
0.005 35.0 630 0.0050 0.8493 0.8909 0.9982 0.7824 0.7005
0.006 35.5556 640 0.0050 0.8492 0.8923 0.9981 0.7853 0.7003
0.0041 36.1111 650 0.0051 0.8470 0.8854 0.9981 0.7714 0.6959
0.0078 36.6667 660 0.0051 0.8459 0.8857 0.9981 0.7719 0.6938
0.0056 37.2222 670 0.0050 0.8488 0.8965 0.9981 0.7937 0.6995
0.0093 37.7778 680 0.0050 0.8459 0.8832 0.9981 0.7670 0.6936
0.0037 38.3333 690 0.0051 0.8483 0.8952 0.9981 0.7912 0.6986
0.0066 38.8889 700 0.0052 0.8410 0.8726 0.9981 0.7457 0.6840
0.007 39.4444 710 0.0050 0.8485 0.8928 0.9981 0.7864 0.6988
0.0054 40.0 720 0.0051 0.8415 0.8739 0.9981 0.7484 0.6849
0.0132 40.5556 730 0.0050 0.8467 0.8867 0.9981 0.7740 0.6953
0.0056 41.1111 740 0.0051 0.8406 0.8712 0.9981 0.7429 0.6832
0.0101 41.6667 750 0.0051 0.8437 0.8776 0.9981 0.7557 0.6893
0.0074 42.2222 760 0.0050 0.8493 0.8947 0.9981 0.7900 0.7005
0.0039 42.7778 770 0.0051 0.8423 0.8747 0.9981 0.7500 0.6864
0.0122 43.3333 780 0.0050 0.8491 0.8993 0.9981 0.7993 0.7000
0.0057 43.8889 790 0.0050 0.8481 0.8940 0.9981 0.7888 0.6981
0.0033 44.4444 800 0.0050 0.8496 0.9004 0.9981 0.8016 0.7012
0.0047 45.0 810 0.0050 0.8463 0.8838 0.9981 0.7681 0.6945
0.0077 45.5556 820 0.0050 0.8474 0.8860 0.9981 0.7726 0.6966
0.0043 46.1111 830 0.0050 0.8498 0.8993 0.9981 0.7994 0.7015
0.0037 46.6667 840 0.0051 0.8469 0.8854 0.9981 0.7714 0.6956
0.0037 47.2222 850 0.0050 0.8482 0.8886 0.9981 0.7778 0.6983
0.0048 47.7778 860 0.0050 0.8495 0.8964 0.9981 0.7935 0.7009
0.0047 48.3333 870 0.0051 0.8449 0.8794 0.9981 0.7593 0.6917
0.0026 48.8889 880 0.0051 0.8472 0.8933 0.9981 0.7874 0.6963
0.0026 49.4444 890 0.0051 0.8440 0.8777 0.9981 0.7559 0.6898
0.006 50.0 900 0.0050 0.8484 0.8892 0.9981 0.7790 0.6987
0.0053 50.5556 910 0.0051 0.8476 0.8869 0.9981 0.7745 0.6971
0.0077 51.1111 920 0.0050 0.8494 0.8919 0.9981 0.7845 0.7007
0.0034 51.6667 930 0.0050 0.8466 0.8811 0.9982 0.7627 0.6951
0.0037 52.2222 940 0.0050 0.8461 0.8817 0.9981 0.7640 0.6940
0.0087 52.7778 950 0.0051 0.8456 0.8805 0.9981 0.7615 0.6931
0.0035 53.3333 960 0.0050 0.8487 0.8901 0.9981 0.7809 0.6992
0.0053 53.8889 970 0.0050 0.8485 0.8879 0.9982 0.7763 0.6989
0.0031 54.4444 980 0.0050 0.8480 0.8882 0.9981 0.7770 0.6978
0.0031 55.0 990 0.0051 0.8431 0.8758 0.9981 0.7521 0.6882
0.0033 55.5556 1000 0.0050 0.8497 0.8974 0.9981 0.7955 0.7013
0.0056 56.1111 1010 0.0051 0.8439 0.8791 0.9981 0.7589 0.6897
0.0166 56.6667 1020 0.0051 0.8456 0.8848 0.9981 0.7701 0.6931
0.0053 57.2222 1030 0.0050 0.8490 0.8954 0.9981 0.7914 0.6999
0.0065 57.7778 1040 0.0051 0.8446 0.8799 0.9981 0.7603 0.6911
0.003 58.3333 1050 0.0051 0.8489 0.9011 0.9981 0.8030 0.6997
0.0079 58.8889 1060 0.0051 0.8468 0.8904 0.9981 0.7815 0.6955
0.0055 59.4444 1070 0.0050 0.8481 0.8908 0.9981 0.7822 0.6982
0.0017 60.0 1080 0.0050 0.8488 0.8910 0.9981 0.7826 0.6996
0.0041 60.5556 1090 0.0053 0.8397 0.8686 0.9981 0.7377 0.6814
0.0104 61.1111 1100 0.0052 0.8443 0.8778 0.9981 0.7561 0.6904
0.0035 61.6667 1110 0.0050 0.8486 0.8922 0.9981 0.7852 0.6990
0.0034 62.2222 1120 0.0051 0.8447 0.8814 0.9981 0.7634 0.6913
0.0056 62.7778 1130 0.0051 0.8487 0.8952 0.9981 0.7912 0.6993
0.0022 63.3333 1140 0.0051 0.8451 0.8823 0.9981 0.7651 0.6921
0.0046 63.8889 1150 0.0051 0.8435 0.8759 0.9981 0.7523 0.6889
0.0114 64.4444 1160 0.0051 0.8467 0.8831 0.9981 0.7668 0.6952
0.0029 65.0 1170 0.0051 0.8431 0.8757 0.9981 0.7520 0.6880
0.0029 65.5556 1180 0.0050 0.8481 0.8933 0.9981 0.7873 0.6981
0.0062 66.1111 1190 0.0051 0.8439 0.8786 0.9981 0.7578 0.6896
0.004 66.6667 1200 0.0050 0.8474 0.8891 0.9981 0.7789 0.6968
0.0025 67.2222 1210 0.0050 0.8483 0.8917 0.9981 0.7840 0.6985
0.0075 67.7778 1220 0.0052 0.8430 0.8763 0.9981 0.7531 0.6879
0.0098 68.3333 1230 0.0050 0.8483 0.8941 0.9981 0.7889 0.6985
0.0068 68.8889 1240 0.0051 0.8455 0.8829 0.9981 0.7663 0.6929
0.0067 69.4444 1250 0.0051 0.8463 0.8842 0.9981 0.7689 0.6945
0.0043 70.0 1260 0.0051 0.8461 0.8844 0.9981 0.7695 0.6942
0.003 70.5556 1270 0.0051 0.8498 0.8995 0.9981 0.7998 0.7014
0.0061 71.1111 1280 0.0051 0.8473 0.8867 0.9981 0.7740 0.6966
0.0042 71.6667 1290 0.0050 0.8487 0.8891 0.9981 0.7789 0.6992
0.0064 72.2222 1300 0.0050 0.8493 0.8913 0.9981 0.7832 0.7005
0.0045 72.7778 1310 0.0050 0.8497 0.8926 0.9981 0.7860 0.7012
0.0041 73.3333 1320 0.0050 0.8511 0.9022 0.9981 0.8052 0.7041
0.0033 73.8889 1330 0.0050 0.8491 0.8925 0.9981 0.7857 0.7001
0.0084 74.4444 1340 0.0051 0.8462 0.8840 0.9981 0.7686 0.6943
0.0093 75.0 1350 0.0051 0.8473 0.8903 0.9981 0.7814 0.6965
0.0093 75.5556 1360 0.0051 0.8448 0.8833 0.9981 0.7671 0.6914
0.0037 76.1111 1370 0.0051 0.8470 0.8908 0.9981 0.7822 0.6958
0.007 76.6667 1380 0.0051 0.8486 0.8937 0.9981 0.7882 0.6991
0.0034 77.2222 1390 0.0051 0.8476 0.8888 0.9981 0.7782 0.6971
0.0139 77.7778 1400 0.0051 0.8470 0.8855 0.9981 0.7716 0.6958
0.0057 78.3333 1410 0.0051 0.8465 0.8848 0.9981 0.7702 0.6949
0.004 78.8889 1420 0.0051 0.8444 0.8791 0.9981 0.7588 0.6907
0.0057 79.4444 1430 0.0051 0.8463 0.8836 0.9981 0.7677 0.6945
0.0034 80.0 1440 0.0050 0.8482 0.8893 0.9981 0.7793 0.6984
0.0061 80.5556 1450 0.0050 0.8495 0.8944 0.9981 0.7895 0.7008
0.0034 81.1111 1460 0.0050 0.8486 0.8891 0.9981 0.7788 0.6990
0.0051 81.6667 1470 0.0051 0.8469 0.8843 0.9981 0.7692 0.6956
0.0037 82.2222 1480 0.0051 0.8470 0.8853 0.9981 0.7712 0.6959
0.0075 82.7778 1490 0.0050 0.8473 0.8869 0.9981 0.7743 0.6964
0.0202 83.3333 1500 0.0050 0.8484 0.8893 0.9981 0.7793 0.6987
0.008 83.8889 1510 0.0050 0.8487 0.8888 0.9982 0.7783 0.6993
0.0059 84.4444 1520 0.0051 0.8483 0.8877 0.9981 0.7760 0.6984
0.0052 85.0 1530 0.0051 0.8479 0.8864 0.9981 0.7733 0.6976
0.0089 85.5556 1540 0.0051 0.8473 0.8849 0.9981 0.7704 0.6965
0.0153 86.1111 1550 0.0050 0.8480 0.8876 0.9981 0.7758 0.6979
0.0039 86.6667 1560 0.0050 0.8496 0.8946 0.9981 0.7898 0.7010
0.0043 87.2222 1570 0.0051 0.8476 0.8858 0.9981 0.7721 0.6970
0.004 87.7778 1580 0.0051 0.8472 0.8850 0.9981 0.7705 0.6963
0.0026 88.3333 1590 0.0050 0.8490 0.8914 0.9981 0.7834 0.6999
0.0031 88.8889 1600 0.0050 0.8473 0.8857 0.9981 0.7720 0.6965
0.0048 89.4444 1610 0.0051 0.8468 0.8830 0.9981 0.7665 0.6954
0.0108 90.0 1620 0.0051 0.8461 0.8821 0.9981 0.7647 0.6941
0.0031 90.5556 1630 0.0051 0.8470 0.8846 0.9981 0.7699 0.6960
0.0045 91.1111 1640 0.0050 0.8483 0.8883 0.9981 0.7772 0.6984
0.0041 91.6667 1650 0.0050 0.8476 0.8866 0.9981 0.7738 0.6970
0.0038 92.2222 1660 0.0050 0.8477 0.8865 0.9981 0.7737 0.6972
0.0087 92.7778 1670 0.0050 0.8474 0.8854 0.9981 0.7714 0.6967
0.0031 93.3333 1680 0.0050 0.8479 0.8875 0.9981 0.7755 0.6976
0.0021 93.8889 1690 0.0050 0.8484 0.8896 0.9981 0.7799 0.6988
0.0042 94.4444 1700 0.0050 0.8488 0.8911 0.9981 0.7828 0.6994
0.0055 95.0 1710 0.0050 0.8489 0.8910 0.9981 0.7826 0.6997
0.003 95.5556 1720 0.0050 0.8481 0.8881 0.9981 0.7769 0.6980
0.0205 96.1111 1730 0.0050 0.8480 0.8873 0.9981 0.7752 0.6979
0.0081 96.6667 1740 0.0050 0.8487 0.8908 0.9981 0.7823 0.6993
0.0073 97.2222 1750 0.0050 0.8482 0.8885 0.9981 0.7776 0.6983
0.0115 97.7778 1760 0.0050 0.8482 0.8878 0.9981 0.7763 0.6982
0.0063 98.3333 1770 0.0050 0.8477 0.8860 0.9981 0.7727 0.6972
0.0072 98.8889 1780 0.0050 0.8480 0.8875 0.9981 0.7756 0.6980
0.0035 99.4444 1790 0.0050 0.8485 0.8893 0.9981 0.7792 0.6988
0.0027 100.0 1800 0.0050 0.8483 0.8889 0.9981 0.7785 0.6985

Framework versions

  • Transformers 4.55.3
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.21.4