generated_from_trainer

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81-tiny_tobacco3482

This model is a fine-tuned version of WinKawaks/vit-tiny-patch16-224 on the None dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Accuracy Brier Loss Nll F1 Micro F1 Macro Ece Aurc
No log 1.0 7 2.2942 0.16 1.0273 8.4554 0.16 0.0543 0.3538 0.8479
No log 2.0 14 1.1952 0.095 0.9063 7.1126 0.095 0.0819 0.2327 0.8615
No log 3.0 21 0.7862 0.305 0.8434 5.1628 0.305 0.1452 0.2965 0.6092
No log 4.0 28 0.6144 0.385 0.7594 3.3452 0.3850 0.2942 0.2978 0.4140
No log 5.0 35 0.5040 0.54 0.6858 2.6433 0.54 0.4419 0.3200 0.2853
No log 6.0 42 0.4291 0.625 0.6353 2.2564 0.625 0.5273 0.3772 0.1975
No log 7.0 49 0.3839 0.63 0.5815 2.0215 0.63 0.4970 0.3469 0.1795
No log 8.0 56 0.3390 0.705 0.5512 1.5239 0.705 0.5983 0.3704 0.1337
No log 9.0 63 0.3128 0.705 0.5015 1.7837 0.705 0.6172 0.3403 0.1138
No log 10.0 70 0.2868 0.705 0.4532 1.1243 0.705 0.6108 0.3221 0.1015
No log 11.0 77 0.2866 0.74 0.4532 1.0967 0.74 0.6909 0.3422 0.0932
No log 12.0 84 0.2625 0.765 0.4235 1.4646 0.765 0.6788 0.3240 0.0805
No log 13.0 91 0.2516 0.73 0.4141 1.4855 0.7300 0.6495 0.2770 0.0869
No log 14.0 98 0.2487 0.805 0.4440 1.2873 0.805 0.7319 0.3699 0.0670
No log 15.0 105 0.2103 0.77 0.4029 1.0834 0.7700 0.6891 0.3007 0.0677
No log 16.0 112 0.2216 0.8 0.4029 1.0621 0.8000 0.7247 0.3513 0.0611
No log 17.0 119 0.2230 0.745 0.3999 1.0367 0.745 0.6710 0.2992 0.0809
No log 18.0 126 0.2301 0.805 0.4044 0.9650 0.805 0.7473 0.3406 0.0538
No log 19.0 133 0.2024 0.795 0.3935 0.9429 0.795 0.7562 0.3327 0.0669
No log 20.0 140 0.1959 0.82 0.3935 0.8984 0.82 0.8000 0.3453 0.0571
No log 21.0 147 0.2020 0.815 0.3946 0.8507 0.815 0.7949 0.3669 0.0588
No log 22.0 154 0.2100 0.805 0.3758 0.8083 0.805 0.7743 0.3087 0.0625
No log 23.0 161 0.2002 0.81 0.3881 1.0046 0.81 0.7953 0.3276 0.0617
No log 24.0 168 0.2004 0.83 0.3987 0.8922 0.83 0.8034 0.3565 0.0531
No log 25.0 175 0.1914 0.785 0.3699 0.8571 0.785 0.7484 0.3117 0.0601
No log 26.0 182 0.1845 0.815 0.3764 0.8153 0.815 0.7970 0.3215 0.0539
No log 27.0 189 0.1821 0.835 0.3815 0.8488 0.835 0.8175 0.3441 0.0497
No log 28.0 196 0.1869 0.84 0.3808 0.8654 0.8400 0.8236 0.3639 0.0504
No log 29.0 203 0.1859 0.79 0.3752 0.7067 0.79 0.7661 0.3019 0.0618
No log 30.0 210 0.1842 0.795 0.3826 0.9031 0.795 0.7646 0.3170 0.0599
No log 31.0 217 0.1797 0.815 0.3714 0.8572 0.815 0.8038 0.3214 0.0588
No log 32.0 224 0.1754 0.805 0.3679 0.7412 0.805 0.7883 0.3063 0.0563
No log 33.0 231 0.1790 0.835 0.3736 0.8357 0.835 0.8128 0.3431 0.0497
No log 34.0 238 0.1761 0.81 0.3744 0.7360 0.81 0.7907 0.3292 0.0526
No log 35.0 245 0.1731 0.83 0.3744 0.7494 0.83 0.8202 0.3351 0.0540
No log 36.0 252 0.1758 0.79 0.3738 0.9441 0.79 0.7710 0.3099 0.0625
No log 37.0 259 0.1730 0.81 0.3785 0.9418 0.81 0.7939 0.3425 0.0577
No log 38.0 266 0.1727 0.815 0.3752 0.7539 0.815 0.8001 0.3290 0.0540
No log 39.0 273 0.1769 0.81 0.3754 0.9013 0.81 0.7888 0.3296 0.0563
No log 40.0 280 0.1770 0.805 0.3809 0.7637 0.805 0.7809 0.3291 0.0519
No log 41.0 287 0.1771 0.815 0.3814 0.7495 0.815 0.7993 0.3352 0.0565
No log 42.0 294 0.1745 0.8 0.3807 0.8386 0.8000 0.7865 0.3212 0.0601
No log 43.0 301 0.1700 0.825 0.3762 0.8216 0.825 0.8067 0.3420 0.0517
No log 44.0 308 0.1686 0.825 0.3706 0.7310 0.825 0.8024 0.3448 0.0509
No log 45.0 315 0.1692 0.81 0.3739 0.6805 0.81 0.7914 0.3397 0.0508
No log 46.0 322 0.1697 0.825 0.3709 0.7482 0.825 0.7995 0.3364 0.0531
No log 47.0 329 0.1681 0.805 0.3735 0.8810 0.805 0.7872 0.3388 0.0585
No log 48.0 336 0.1667 0.815 0.3731 0.6788 0.815 0.7968 0.3427 0.0567
No log 49.0 343 0.1690 0.82 0.3786 0.8693 0.82 0.7967 0.3507 0.0502
No log 50.0 350 0.1668 0.82 0.3761 0.7854 0.82 0.8032 0.3509 0.0526
No log 51.0 357 0.1659 0.82 0.3760 0.7437 0.82 0.8045 0.3374 0.0557
No log 52.0 364 0.1663 0.805 0.3682 0.7932 0.805 0.7863 0.3171 0.0560
No log 53.0 371 0.1649 0.805 0.3649 0.7249 0.805 0.7863 0.3139 0.0562
No log 54.0 378 0.1654 0.815 0.3725 0.7390 0.815 0.7935 0.3273 0.0560
No log 55.0 385 0.1667 0.84 0.3741 0.7324 0.8400 0.8279 0.3501 0.0513
No log 56.0 392 0.1659 0.825 0.3718 0.7278 0.825 0.8058 0.3288 0.0522
No log 57.0 399 0.1659 0.825 0.3731 0.7351 0.825 0.8084 0.3204 0.0537
No log 58.0 406 0.1645 0.825 0.3730 0.7356 0.825 0.8068 0.3468 0.0524
No log 59.0 413 0.1626 0.825 0.3715 0.7282 0.825 0.8040 0.3391 0.0527
No log 60.0 420 0.1628 0.825 0.3698 0.7297 0.825 0.8056 0.3212 0.0534
No log 61.0 427 0.1630 0.825 0.3719 0.7312 0.825 0.8065 0.3260 0.0533
No log 62.0 434 0.1642 0.82 0.3714 0.7335 0.82 0.8040 0.3388 0.0549
No log 63.0 441 0.1634 0.82 0.3733 0.7349 0.82 0.8011 0.3399 0.0553
No log 64.0 448 0.1628 0.815 0.3710 0.7301 0.815 0.7974 0.3249 0.0532
No log 65.0 455 0.1629 0.815 0.3704 0.7362 0.815 0.7981 0.3362 0.0541
No log 66.0 462 0.1630 0.82 0.3727 0.7354 0.82 0.8024 0.3559 0.0526
No log 67.0 469 0.1633 0.825 0.3733 0.7355 0.825 0.8038 0.3492 0.0526
No log 68.0 476 0.1638 0.82 0.3724 0.7369 0.82 0.8040 0.3468 0.0550
No log 69.0 483 0.1629 0.82 0.3717 0.7329 0.82 0.8040 0.3251 0.0536
No log 70.0 490 0.1629 0.815 0.3709 0.7312 0.815 0.7947 0.3221 0.0541
No log 71.0 497 0.1630 0.815 0.3718 0.7371 0.815 0.7973 0.3436 0.0545
0.1743 72.0 504 0.1631 0.815 0.3712 0.7350 0.815 0.7973 0.3264 0.0536
0.1743 73.0 511 0.1634 0.815 0.3721 0.7348 0.815 0.7981 0.3340 0.0543
0.1743 74.0 518 0.1631 0.815 0.3716 0.7332 0.815 0.7973 0.3279 0.0541
0.1743 75.0 525 0.1633 0.82 0.3720 0.7346 0.82 0.8008 0.3186 0.0542
0.1743 76.0 532 0.1631 0.815 0.3716 0.7342 0.815 0.7973 0.3189 0.0542
0.1743 77.0 539 0.1633 0.815 0.3718 0.7358 0.815 0.7973 0.3344 0.0542
0.1743 78.0 546 0.1633 0.815 0.3718 0.7363 0.815 0.7991 0.3342 0.0542
0.1743 79.0 553 0.1633 0.815 0.3718 0.7350 0.815 0.7973 0.3344 0.0543
0.1743 80.0 560 0.1634 0.815 0.3718 0.7354 0.815 0.7973 0.3136 0.0542
0.1743 81.0 567 0.1633 0.815 0.3721 0.7360 0.815 0.7973 0.3279 0.0543
0.1743 82.0 574 0.1634 0.815 0.3719 0.7358 0.815 0.7973 0.3276 0.0542
0.1743 83.0 581 0.1634 0.815 0.3720 0.7358 0.815 0.7973 0.3345 0.0542
0.1743 84.0 588 0.1633 0.815 0.3717 0.7352 0.815 0.7973 0.3275 0.0542
0.1743 85.0 595 0.1633 0.815 0.3720 0.7357 0.815 0.7973 0.3194 0.0541
0.1743 86.0 602 0.1634 0.815 0.3717 0.7361 0.815 0.7973 0.3276 0.0542
0.1743 87.0 609 0.1634 0.815 0.3719 0.7359 0.815 0.7973 0.3345 0.0542
0.1743 88.0 616 0.1634 0.815 0.3720 0.7359 0.815 0.7973 0.3278 0.0542
0.1743 89.0 623 0.1634 0.815 0.3718 0.7359 0.815 0.7973 0.3192 0.0543
0.1743 90.0 630 0.1635 0.815 0.3719 0.7359 0.815 0.7973 0.3278 0.0543
0.1743 91.0 637 0.1635 0.815 0.3719 0.7357 0.815 0.7973 0.3344 0.0541
0.1743 92.0 644 0.1635 0.815 0.3719 0.7361 0.815 0.7973 0.3278 0.0542
0.1743 93.0 651 0.1635 0.815 0.3719 0.7357 0.815 0.7973 0.3345 0.0542
0.1743 94.0 658 0.1635 0.815 0.3719 0.7356 0.815 0.7973 0.3261 0.0543
0.1743 95.0 665 0.1635 0.815 0.3719 0.7360 0.815 0.7973 0.3345 0.0542
0.1743 96.0 672 0.1635 0.815 0.3719 0.7357 0.815 0.7973 0.3278 0.0542
0.1743 97.0 679 0.1635 0.815 0.3719 0.7360 0.815 0.7973 0.3345 0.0542
0.1743 98.0 686 0.1635 0.815 0.3719 0.7360 0.815 0.7973 0.3278 0.0543
0.1743 99.0 693 0.1635 0.815 0.3719 0.7360 0.815 0.7973 0.3345 0.0542
0.1743 100.0 700 0.1635 0.815 0.3719 0.7360 0.815 0.7973 0.3345 0.0542

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