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fold_3

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vit
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End of training Fold 3

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  1. README.md +52 -50
  2. model.safetensors +1 -1
README.md CHANGED
@@ -37,7 +37,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0446
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  - Accuracy: 0.9828
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  - F1 Score: 0.9839
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  - Recall: 0.9828
@@ -75,55 +75,57 @@ The following hyperparameters were used during training:
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|
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  | 2.8990 | 1.0 | 19 | 2.8243 | 0.3 | 0.1902 | 0.2394 |
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  | 2.6775 | 2.0 | 38 | 2.5749 | 0.3759 | 0.2813 | 0.3098 |
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- | 2.3450 | 3.0 | 57 | 2.2351 | 0.5931 | 0.5678 | 0.5485 |
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- | 1.9325 | 4.0 | 76 | 1.8625 | 0.7828 | 0.7895 | 0.7727 |
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- | 1.5682 | 5.0 | 95 | 1.5209 | 0.8966 | 0.9041 | 0.9000 |
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- | 1.3474 | 6.0 | 114 | 1.3065 | 0.9345 | 0.9391 | 0.9363 |
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- | 1.1893 | 7.0 | 133 | 1.2150 | 0.9345 | 0.9391 | 0.9363 |
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- | 1.1693 | 8.0 | 152 | 1.1651 | 0.9517 | 0.9553 | 0.9535 |
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- | 1.1027 | 9.0 | 171 | 1.1386 | 0.9621 | 0.9654 | 0.9620 |
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- | 1.0954 | 10.0 | 190 | 1.1253 | 0.9586 | 0.9621 | 0.9570 |
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- | 1.0747 | 11.0 | 209 | 1.1148 | 0.9690 | 0.9716 | 0.9682 |
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- | 1.0542 | 12.0 | 228 | 1.0975 | 0.9621 | 0.9656 | 0.9633 |
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- | 1.0474 | 13.0 | 247 | 1.0907 | 0.9655 | 0.9683 | 0.9683 |
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- | 1.0132 | 14.0 | 266 | 1.0730 | 0.9759 | 0.9778 | 0.9766 |
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- | 1.0042 | 15.0 | 285 | 1.0833 | 0.9724 | 0.9753 | 0.9717 |
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- | 1.0086 | 16.0 | 304 | 1.0669 | 0.9690 | 0.9719 | 0.9730 |
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- | 1.0070 | 17.0 | 323 | 1.0700 | 0.9690 | 0.9720 | 0.9743 |
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- | 0.9966 | 18.0 | 342 | 1.0664 | 0.9690 | 0.9719 | 0.9730 |
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- | 0.9863 | 19.0 | 361 | 1.0618 | 0.9759 | 0.9776 | 0.9753 |
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- | 0.9785 | 20.0 | 380 | 1.0598 | 0.9724 | 0.9748 | 0.9754 |
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- | 0.9787 | 21.0 | 399 | 1.0622 | 0.9724 | 0.9748 | 0.9754 |
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- | 0.9794 | 22.0 | 418 | 1.0556 | 0.9759 | 0.9779 | 0.9779 |
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- | 0.9900 | 23.0 | 437 | 1.0857 | 0.9690 | 0.9720 | 0.9768 |
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- | 0.9794 | 24.0 | 456 | 1.0506 | 0.9793 | 0.9808 | 0.9791 |
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- | 0.9707 | 25.0 | 475 | 1.0485 | 0.9759 | 0.9780 | 0.9792 |
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- | 0.9708 | 26.0 | 494 | 1.0440 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9698 | 27.0 | 513 | 1.0446 | 0.9828 | 0.9839 | 0.9828 |
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- | 0.9730 | 28.0 | 532 | 1.0506 | 0.9759 | 0.9779 | 0.9779 |
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- | 0.9834 | 29.0 | 551 | 1.0415 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9780 | 30.0 | 570 | 1.0462 | 0.9793 | 0.9808 | 0.9791 |
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- | 0.9709 | 31.0 | 589 | 1.0492 | 0.9621 | 0.9657 | 0.9668 |
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- | 0.9662 | 32.0 | 608 | 1.0436 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9758 | 33.0 | 627 | 1.0466 | 0.9793 | 0.9808 | 0.9791 |
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- | 0.9626 | 34.0 | 646 | 1.0407 | 0.9724 | 0.9743 | 0.9743 |
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- | 0.9744 | 35.0 | 665 | 1.0403 | 0.9759 | 0.9779 | 0.9779 |
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- | 0.9664 | 36.0 | 684 | 1.0392 | 0.9759 | 0.9779 | 0.9779 |
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- | 0.9656 | 37.0 | 703 | 1.0424 | 0.9724 | 0.9743 | 0.9743 |
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- | 0.9650 | 38.0 | 722 | 1.0409 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9603 | 39.0 | 741 | 1.0367 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9697 | 40.0 | 760 | 1.0375 | 0.9828 | 0.9839 | 0.9828 |
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- | 0.9696 | 41.0 | 779 | 1.0350 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9599 | 42.0 | 798 | 1.0356 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9590 | 43.0 | 817 | 1.0355 | 0.9793 | 0.9810 | 0.9816 |
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- | 0.9634 | 44.0 | 836 | 1.0397 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9624 | 45.0 | 855 | 1.0378 | 0.9759 | 0.9779 | 0.9779 |
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- | 0.9601 | 46.0 | 874 | 1.0361 | 0.9759 | 0.9779 | 0.9779 |
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- | 0.9566 | 47.0 | 893 | 1.0375 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9629 | 48.0 | 912 | 1.0374 | 0.9793 | 0.9809 | 0.9803 |
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- | 0.9668 | 49.0 | 931 | 1.0381 | 0.9724 | 0.9748 | 0.9754 |
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- | 0.9655 | 50.0 | 950 | 1.0415 | 0.9724 | 0.9749 | 0.9754 |
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- | 0.9596 | 51.0 | 969 | 1.0384 | 0.9724 | 0.9748 | 0.9754 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0408
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  - Accuracy: 0.9828
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  - F1 Score: 0.9839
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  - Recall: 0.9828
 
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|
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  | 2.8990 | 1.0 | 19 | 2.8243 | 0.3 | 0.1902 | 0.2394 |
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  | 2.6775 | 2.0 | 38 | 2.5749 | 0.3759 | 0.2813 | 0.3098 |
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+ | 2.3450 | 3.0 | 57 | 2.2350 | 0.5931 | 0.5678 | 0.5485 |
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+ | 1.9329 | 4.0 | 76 | 1.8672 | 0.7828 | 0.7860 | 0.7689 |
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+ | 1.5705 | 5.0 | 95 | 1.5231 | 0.8931 | 0.9009 | 0.8963 |
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+ | 1.3488 | 6.0 | 114 | 1.3058 | 0.9379 | 0.9421 | 0.9399 |
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+ | 1.1881 | 7.0 | 133 | 1.2164 | 0.9379 | 0.9429 | 0.9400 |
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+ | 1.1692 | 8.0 | 152 | 1.1655 | 0.9483 | 0.9521 | 0.9498 |
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+ | 1.1013 | 9.0 | 171 | 1.1383 | 0.9621 | 0.9654 | 0.9620 |
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+ | 1.0939 | 10.0 | 190 | 1.1244 | 0.9586 | 0.9621 | 0.9570 |
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+ | 1.0743 | 11.0 | 209 | 1.1158 | 0.9690 | 0.9716 | 0.9682 |
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+ | 1.0535 | 12.0 | 228 | 1.0974 | 0.9655 | 0.9687 | 0.9670 |
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+ | 1.0468 | 13.0 | 247 | 1.0882 | 0.9655 | 0.9683 | 0.9683 |
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+ | 1.0113 | 14.0 | 266 | 1.0735 | 0.9759 | 0.9778 | 0.9766 |
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+ | 1.0041 | 15.0 | 285 | 1.0831 | 0.9724 | 0.9753 | 0.9717 |
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+ | 1.0087 | 16.0 | 304 | 1.0676 | 0.9724 | 0.9749 | 0.9754 |
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+ | 1.0055 | 17.0 | 323 | 1.0714 | 0.9655 | 0.9689 | 0.9705 |
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+ | 0.9963 | 18.0 | 342 | 1.0680 | 0.9690 | 0.9719 | 0.9730 |
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+ | 0.9857 | 19.0 | 361 | 1.0630 | 0.9759 | 0.9776 | 0.9753 |
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+ | 0.9784 | 20.0 | 380 | 1.0617 | 0.9724 | 0.9748 | 0.9754 |
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+ | 0.9790 | 21.0 | 399 | 1.0653 | 0.9724 | 0.9748 | 0.9754 |
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+ | 0.9791 | 22.0 | 418 | 1.0574 | 0.9724 | 0.9749 | 0.9754 |
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+ | 0.9900 | 23.0 | 437 | 1.0858 | 0.9690 | 0.9720 | 0.9768 |
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+ | 0.9790 | 24.0 | 456 | 1.0520 | 0.9759 | 0.9776 | 0.9753 |
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+ | 0.9708 | 25.0 | 475 | 1.0499 | 0.9724 | 0.9749 | 0.9754 |
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+ | 0.9708 | 26.0 | 494 | 1.0448 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9707 | 27.0 | 513 | 1.0459 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9729 | 28.0 | 532 | 1.0549 | 0.9690 | 0.9719 | 0.9730 |
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+ | 0.9845 | 29.0 | 551 | 1.0451 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9771 | 30.0 | 570 | 1.0502 | 0.9759 | 0.9778 | 0.9766 |
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+ | 0.9716 | 31.0 | 589 | 1.0507 | 0.9759 | 0.9779 | 0.9779 |
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+ | 0.9669 | 32.0 | 608 | 1.0457 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9761 | 33.0 | 627 | 1.0483 | 0.9793 | 0.9808 | 0.9791 |
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+ | 0.9627 | 34.0 | 646 | 1.0437 | 0.9724 | 0.9743 | 0.9743 |
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+ | 0.9738 | 35.0 | 665 | 1.0431 | 0.9759 | 0.9779 | 0.9779 |
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+ | 0.9666 | 36.0 | 684 | 1.0413 | 0.9759 | 0.9779 | 0.9779 |
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+ | 0.9657 | 37.0 | 703 | 1.0452 | 0.9724 | 0.9743 | 0.9743 |
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+ | 0.9649 | 38.0 | 722 | 1.0440 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9607 | 39.0 | 741 | 1.0389 | 0.9759 | 0.9774 | 0.9780 |
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+ | 0.9693 | 40.0 | 760 | 1.0408 | 0.9828 | 0.9839 | 0.9828 |
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+ | 0.9692 | 41.0 | 779 | 1.0374 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9599 | 42.0 | 798 | 1.0390 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9601 | 43.0 | 817 | 1.0372 | 0.9793 | 0.9810 | 0.9816 |
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+ | 0.9642 | 44.0 | 836 | 1.0432 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9624 | 45.0 | 855 | 1.0412 | 0.9759 | 0.9779 | 0.9779 |
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+ | 0.9598 | 46.0 | 874 | 1.0395 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9567 | 47.0 | 893 | 1.0414 | 0.9793 | 0.9809 | 0.9803 |
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+ | 0.9634 | 48.0 | 912 | 1.0416 | 0.9759 | 0.9779 | 0.9779 |
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+ | 0.9662 | 49.0 | 931 | 1.0416 | 0.9759 | 0.9779 | 0.9779 |
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+ | 0.9652 | 50.0 | 950 | 1.0457 | 0.9759 | 0.9779 | 0.9779 |
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+ | 0.9597 | 51.0 | 969 | 1.0418 | 0.9724 | 0.9748 | 0.9754 |
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+ | 0.9675 | 52.0 | 988 | 1.0403 | 0.9724 | 0.9748 | 0.9754 |
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+ | 0.9615 | 53.0 | 1007 | 1.0389 | 0.9724 | 0.9749 | 0.9754 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 343230128
 
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  version https://git-lfs.github.com/spec/v1
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  size 343230128