generated_from_trainer

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225-tiny_tobacco3482_kd

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 13 1.6344 0.23 0.8900 7.7885 0.23 0.1633 0.2747 0.7585
No log 2.0 26 1.0824 0.385 0.7943 4.1668 0.3850 0.2795 0.3160 0.4560
No log 3.0 39 0.8639 0.535 0.6762 3.0145 0.535 0.4086 0.3233 0.2913
No log 4.0 52 0.7309 0.595 0.5956 2.2236 0.595 0.4646 0.3075 0.1944
No log 5.0 65 0.6374 0.67 0.5211 2.1759 0.67 0.5737 0.2898 0.1450
No log 6.0 78 0.6720 0.685 0.4833 2.2861 0.685 0.5860 0.2904 0.1331
No log 7.0 91 0.6097 0.675 0.4767 2.3133 0.675 0.5733 0.2622 0.1519
No log 8.0 104 0.5206 0.705 0.4301 1.8228 0.705 0.6164 0.2603 0.1038
No log 9.0 117 0.5486 0.715 0.4414 1.8451 0.715 0.6444 0.2583 0.1063
No log 10.0 130 0.5067 0.7 0.4171 1.7759 0.7 0.6325 0.2611 0.1071
No log 11.0 143 0.4612 0.745 0.4017 1.4919 0.745 0.6635 0.2840 0.0838
No log 12.0 156 0.4785 0.745 0.4204 1.8579 0.745 0.6750 0.2542 0.0979
No log 13.0 169 0.4518 0.715 0.4036 1.5697 0.715 0.6496 0.2744 0.1002
No log 14.0 182 0.5081 0.7 0.4294 1.9850 0.7 0.6514 0.2364 0.1225
No log 15.0 195 0.4415 0.705 0.3994 1.7828 0.705 0.6301 0.2380 0.0992
No log 16.0 208 0.3859 0.73 0.3832 1.3431 0.7300 0.6516 0.2548 0.0817
No log 17.0 221 0.3869 0.75 0.3832 1.2075 0.75 0.6651 0.2622 0.0758
No log 18.0 234 0.3637 0.755 0.3770 1.2290 0.755 0.7108 0.2569 0.0687
No log 19.0 247 0.3933 0.745 0.3700 1.4931 0.745 0.6812 0.2434 0.0799
No log 20.0 260 0.3540 0.745 0.3721 1.1910 0.745 0.6702 0.2208 0.0760
No log 21.0 273 0.3560 0.77 0.3718 1.1248 0.7700 0.7142 0.2731 0.0743
No log 22.0 286 0.3530 0.74 0.3758 1.4213 0.74 0.6902 0.2326 0.0768
No log 23.0 299 0.3419 0.745 0.3699 1.2528 0.745 0.6714 0.2324 0.0765
No log 24.0 312 0.3302 0.775 0.3595 1.3338 0.775 0.7120 0.2521 0.0665
No log 25.0 325 0.3533 0.775 0.3672 1.4609 0.775 0.7167 0.2482 0.0740
No log 26.0 338 0.3416 0.775 0.3684 1.1575 0.775 0.7124 0.2601 0.0732
No log 27.0 351 0.3463 0.75 0.3714 1.1053 0.75 0.6868 0.2512 0.0808
No log 28.0 364 0.3298 0.775 0.3605 1.2108 0.775 0.6986 0.2537 0.0668
No log 29.0 377 0.3278 0.77 0.3645 1.1893 0.7700 0.7013 0.2447 0.0765
No log 30.0 390 0.3165 0.78 0.3608 1.1615 0.78 0.7285 0.2472 0.0712
No log 31.0 403 0.3212 0.765 0.3571 1.1317 0.765 0.6999 0.2497 0.0725
No log 32.0 416 0.3119 0.765 0.3581 1.0644 0.765 0.6881 0.2285 0.0675
No log 33.0 429 0.3229 0.765 0.3523 1.2937 0.765 0.7138 0.2517 0.0658
No log 34.0 442 0.3193 0.78 0.3660 1.1849 0.78 0.7329 0.2686 0.0700
No log 35.0 455 0.3088 0.775 0.3556 1.1613 0.775 0.7071 0.2640 0.0680
No log 36.0 468 0.3113 0.785 0.3508 1.1715 0.785 0.7501 0.2443 0.0656
No log 37.0 481 0.3113 0.79 0.3526 1.2334 0.79 0.7388 0.2580 0.0639
No log 38.0 494 0.3077 0.755 0.3528 1.1152 0.755 0.6973 0.2401 0.0692
0.2783 39.0 507 0.3064 0.775 0.3567 1.2289 0.775 0.7370 0.2417 0.0696
0.2783 40.0 520 0.3063 0.77 0.3521 1.2437 0.7700 0.7232 0.2396 0.0688
0.2783 41.0 533 0.3042 0.77 0.3541 1.2490 0.7700 0.7234 0.2470 0.0682
0.2783 42.0 546 0.2999 0.77 0.3486 1.1626 0.7700 0.7082 0.2491 0.0638
0.2783 43.0 559 0.3020 0.77 0.3515 1.2141 0.7700 0.7312 0.2570 0.0687
0.2783 44.0 572 0.3024 0.775 0.3502 1.2184 0.775 0.7168 0.2568 0.0648
0.2783 45.0 585 0.3002 0.78 0.3517 1.2189 0.78 0.7364 0.2673 0.0644
0.2783 46.0 598 0.3022 0.775 0.3511 1.1594 0.775 0.7266 0.2538 0.0661
0.2783 47.0 611 0.2974 0.775 0.3464 1.2157 0.775 0.7238 0.2630 0.0627
0.2783 48.0 624 0.3003 0.78 0.3519 1.1584 0.78 0.7318 0.2413 0.0666
0.2783 49.0 637 0.2990 0.77 0.3492 1.2187 0.7700 0.7136 0.2401 0.0643
0.2783 50.0 650 0.3019 0.765 0.3516 1.2254 0.765 0.7180 0.2409 0.0673
0.2783 51.0 663 0.2991 0.77 0.3499 1.2186 0.7700 0.7145 0.2566 0.0646
0.2783 52.0 676 0.2990 0.77 0.3507 1.2204 0.7700 0.7207 0.2360 0.0651
0.2783 53.0 689 0.2982 0.765 0.3488 1.1663 0.765 0.7042 0.2338 0.0643
0.2783 54.0 702 0.2969 0.775 0.3485 1.1667 0.775 0.7302 0.2586 0.0642
0.2783 55.0 715 0.2989 0.775 0.3487 1.2181 0.775 0.7302 0.2670 0.0647
0.2783 56.0 728 0.2991 0.77 0.3499 1.2208 0.7700 0.7136 0.2339 0.0650
0.2783 57.0 741 0.2986 0.775 0.3487 1.2162 0.775 0.7302 0.2415 0.0639
0.2783 58.0 754 0.2985 0.77 0.3490 1.2183 0.7700 0.7207 0.2547 0.0647
0.2783 59.0 767 0.2993 0.77 0.3494 1.2218 0.7700 0.7136 0.2417 0.0649
0.2783 60.0 780 0.2983 0.77 0.3487 1.2185 0.7700 0.7207 0.2555 0.0646
0.2783 61.0 793 0.2989 0.775 0.3492 1.2182 0.775 0.7302 0.2444 0.0645
0.2783 62.0 806 0.2987 0.775 0.3487 1.2174 0.775 0.7302 0.2438 0.0642
0.2783 63.0 819 0.2987 0.775 0.3490 1.2198 0.775 0.7302 0.2508 0.0646
0.2783 64.0 832 0.2989 0.775 0.3494 1.2195 0.775 0.7302 0.2609 0.0646
0.2783 65.0 845 0.2990 0.775 0.3492 1.2177 0.775 0.7302 0.2528 0.0644
0.2783 66.0 858 0.2992 0.775 0.3493 1.2193 0.775 0.7302 0.2537 0.0646
0.2783 67.0 871 0.2990 0.775 0.3493 1.2199 0.775 0.7302 0.2510 0.0647
0.2783 68.0 884 0.2991 0.775 0.3495 1.2199 0.775 0.7302 0.2476 0.0646
0.2783 69.0 897 0.2989 0.775 0.3491 1.2187 0.775 0.7302 0.2606 0.0646
0.2783 70.0 910 0.2987 0.775 0.3490 1.2187 0.775 0.7302 0.2436 0.0642
0.2783 71.0 923 0.2990 0.775 0.3491 1.2190 0.775 0.7302 0.2510 0.0646
0.2783 72.0 936 0.2990 0.775 0.3492 1.2191 0.775 0.7302 0.2541 0.0646
0.2783 73.0 949 0.2990 0.775 0.3491 1.2176 0.775 0.7302 0.2509 0.0647
0.2783 74.0 962 0.2990 0.775 0.3493 1.2203 0.775 0.7302 0.2600 0.0643
0.2783 75.0 975 0.2989 0.775 0.3492 1.2203 0.775 0.7302 0.2665 0.0643
0.2783 76.0 988 0.2991 0.775 0.3492 1.2193 0.775 0.7302 0.2601 0.0643
0.0005 77.0 1001 0.2991 0.775 0.3491 1.2201 0.775 0.7302 0.2598 0.0645
0.0005 78.0 1014 0.2991 0.775 0.3490 1.2198 0.775 0.7302 0.2441 0.0645
0.0005 79.0 1027 0.2991 0.775 0.3492 1.2182 0.775 0.7302 0.2513 0.0645
0.0005 80.0 1040 0.2992 0.775 0.3491 1.2183 0.775 0.7302 0.2514 0.0645
0.0005 81.0 1053 0.2992 0.775 0.3492 1.2196 0.775 0.7302 0.2584 0.0646
0.0005 82.0 1066 0.2992 0.775 0.3493 1.2199 0.775 0.7302 0.2520 0.0646
0.0005 83.0 1079 0.2991 0.775 0.3491 1.2191 0.775 0.7302 0.2514 0.0643
0.0005 84.0 1092 0.2991 0.775 0.3491 1.2194 0.775 0.7302 0.2516 0.0645
0.0005 85.0 1105 0.2990 0.775 0.3491 1.2188 0.775 0.7302 0.2585 0.0645
0.0005 86.0 1118 0.2991 0.775 0.3492 1.2193 0.775 0.7302 0.2584 0.0645
0.0005 87.0 1131 0.2991 0.775 0.3491 1.2201 0.775 0.7302 0.2667 0.0643
0.0005 88.0 1144 0.2991 0.775 0.3492 1.2199 0.775 0.7302 0.2516 0.0645
0.0005 89.0 1157 0.2990 0.775 0.3491 1.2193 0.775 0.7302 0.2603 0.0644
0.0005 90.0 1170 0.2990 0.775 0.3492 1.2197 0.775 0.7302 0.2536 0.0645
0.0005 91.0 1183 0.2990 0.775 0.3491 1.2201 0.775 0.7302 0.2668 0.0644
0.0005 92.0 1196 0.2991 0.775 0.3491 1.2190 0.775 0.7302 0.2533 0.0644
0.0005 93.0 1209 0.2991 0.775 0.3492 1.2192 0.775 0.7302 0.2602 0.0645
0.0005 94.0 1222 0.2991 0.775 0.3492 1.2193 0.775 0.7302 0.2533 0.0645
0.0005 95.0 1235 0.2991 0.775 0.3491 1.2192 0.775 0.7302 0.2533 0.0644
0.0005 96.0 1248 0.2991 0.775 0.3491 1.2196 0.775 0.7302 0.2668 0.0644
0.0005 97.0 1261 0.2991 0.775 0.3492 1.2196 0.775 0.7302 0.2602 0.0644
0.0005 98.0 1274 0.2991 0.775 0.3491 1.2194 0.775 0.7302 0.2533 0.0644
0.0005 99.0 1287 0.2991 0.775 0.3491 1.2195 0.775 0.7302 0.2602 0.0644
0.0005 100.0 1300 0.2991 0.775 0.3491 1.2196 0.775 0.7302 0.2602 0.0644

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