generated_from_trainer

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81-tiny_tobacco3482_hint_

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 25 66.3150 0.26 0.8706 4.9002 0.26 0.1920 0.2904 0.7808
No log 2.0 50 65.5312 0.54 0.5948 2.8544 0.54 0.4535 0.2938 0.2564
No log 3.0 75 65.0613 0.675 0.4403 1.6101 0.675 0.6134 0.2276 0.1328
No log 4.0 100 64.7775 0.765 0.3800 1.5512 0.765 0.7486 0.2394 0.1111
No log 5.0 125 64.4695 0.8 0.3065 1.7477 0.8000 0.7658 0.1814 0.0713
No log 6.0 150 64.3179 0.78 0.3286 1.7786 0.78 0.7409 0.1555 0.0636
No log 7.0 175 64.0707 0.77 0.3516 1.6165 0.7700 0.7179 0.1677 0.0927
No log 8.0 200 63.8878 0.775 0.3677 1.5868 0.775 0.7675 0.1922 0.0867
No log 9.0 225 64.2141 0.715 0.4341 2.1772 0.715 0.7074 0.2273 0.1130
No log 10.0 250 63.8037 0.775 0.3649 1.4471 0.775 0.7221 0.1744 0.0766
No log 11.0 275 64.2412 0.655 0.5396 2.0448 0.655 0.6532 0.2692 0.1670
No log 12.0 300 63.8514 0.73 0.4372 1.9358 0.7300 0.6997 0.2194 0.1008
No log 13.0 325 63.4352 0.815 0.2888 1.6462 0.815 0.7858 0.1490 0.0469
No log 14.0 350 63.5101 0.795 0.3262 1.3794 0.795 0.7816 0.1599 0.0648
No log 15.0 375 63.6365 0.785 0.3704 1.4766 0.785 0.7627 0.1691 0.0781
No log 16.0 400 63.7245 0.73 0.4145 1.7447 0.7300 0.7261 0.2087 0.0917
No log 17.0 425 63.4312 0.795 0.3148 1.4363 0.795 0.7868 0.1665 0.0636
No log 18.0 450 63.7070 0.835 0.2915 1.4455 0.835 0.8078 0.1542 0.0570
No log 19.0 475 63.3600 0.81 0.2997 1.3326 0.81 0.7878 0.1602 0.0534
62.5692 20.0 500 63.4339 0.81 0.3158 1.2051 0.81 0.7809 0.1541 0.0506
62.5692 21.0 525 63.3477 0.805 0.3088 1.2575 0.805 0.7943 0.1570 0.0489
62.5692 22.0 550 63.3362 0.83 0.2911 1.3409 0.83 0.8104 0.1440 0.0514
62.5692 23.0 575 63.3897 0.805 0.3004 1.2505 0.805 0.7833 0.1595 0.0453
62.5692 24.0 600 63.3475 0.8 0.3185 1.1190 0.8000 0.7750 0.1626 0.0486
62.5692 25.0 625 63.4552 0.805 0.3470 1.2483 0.805 0.7904 0.1818 0.0652
62.5692 26.0 650 63.4364 0.79 0.3453 1.1298 0.79 0.7798 0.1827 0.0651
62.5692 27.0 675 63.3001 0.83 0.2899 1.4329 0.83 0.8141 0.1370 0.0466
62.5692 28.0 700 63.1848 0.85 0.2514 1.2175 0.85 0.8354 0.1220 0.0396
62.5692 29.0 725 63.2303 0.835 0.2744 1.4886 0.835 0.8143 0.1389 0.0532
62.5692 30.0 750 63.2275 0.84 0.2774 1.0426 0.8400 0.8405 0.1325 0.0632
62.5692 31.0 775 63.1341 0.835 0.2597 1.1066 0.835 0.8083 0.1170 0.0510
62.5692 32.0 800 63.2045 0.81 0.2970 1.0432 0.81 0.8028 0.1561 0.0552
62.5692 33.0 825 63.1898 0.82 0.2952 1.0189 0.82 0.8060 0.1440 0.0521
62.5692 34.0 850 63.1330 0.835 0.2760 1.0095 0.835 0.8265 0.1356 0.0542
62.5692 35.0 875 63.1572 0.84 0.2834 1.0174 0.8400 0.8234 0.1337 0.0508
62.5692 36.0 900 63.1922 0.835 0.2894 1.0102 0.835 0.8233 0.1469 0.0500
62.5692 37.0 925 63.1305 0.83 0.2818 1.0146 0.83 0.8172 0.1387 0.0510
62.5692 38.0 950 63.1902 0.815 0.2865 1.0101 0.815 0.8016 0.1500 0.0516
62.5692 39.0 975 63.1835 0.825 0.2851 1.0177 0.825 0.8162 0.1436 0.0496
61.2333 40.0 1000 63.1741 0.84 0.2783 1.0160 0.8400 0.8266 0.1275 0.0510
61.2333 41.0 1025 63.1755 0.835 0.2756 1.0117 0.835 0.8192 0.1447 0.0483
61.2333 42.0 1050 63.1281 0.83 0.2820 1.0142 0.83 0.8169 0.1415 0.0466
61.2333 43.0 1075 63.1697 0.85 0.2675 0.9929 0.85 0.8358 0.1423 0.0484
61.2333 44.0 1100 63.1141 0.835 0.2767 1.0005 0.835 0.8237 0.1293 0.0481
61.2333 45.0 1125 63.1441 0.85 0.2638 1.0023 0.85 0.8383 0.1335 0.0471
61.2333 46.0 1150 63.1221 0.84 0.2745 0.9981 0.8400 0.8308 0.1271 0.0451
61.2333 47.0 1175 63.1140 0.845 0.2654 0.9891 0.845 0.8317 0.1351 0.0458
61.2333 48.0 1200 63.1056 0.845 0.2654 1.0016 0.845 0.8351 0.1364 0.0458
61.2333 49.0 1225 63.0906 0.83 0.2713 1.0042 0.83 0.8221 0.1455 0.0449
61.2333 50.0 1250 63.0942 0.835 0.2633 1.0003 0.835 0.8314 0.1397 0.0452
61.2333 51.0 1275 63.0929 0.84 0.2641 0.9957 0.8400 0.8359 0.1340 0.0440
61.2333 52.0 1300 63.0913 0.83 0.2646 1.0040 0.83 0.8242 0.1422 0.0440
61.2333 53.0 1325 63.1152 0.83 0.2754 0.9985 0.83 0.8250 0.1416 0.0447
61.2333 54.0 1350 63.0923 0.835 0.2649 0.9997 0.835 0.8278 0.1356 0.0426
61.2333 55.0 1375 63.0720 0.83 0.2686 0.9988 0.83 0.8243 0.1396 0.0431
61.2333 56.0 1400 63.0627 0.83 0.2636 1.0713 0.83 0.8243 0.1369 0.0427
61.2333 57.0 1425 63.0742 0.835 0.2692 1.0572 0.835 0.8305 0.1391 0.0425
61.2333 58.0 1450 63.0910 0.84 0.2639 1.0727 0.8400 0.8334 0.1320 0.0432
61.2333 59.0 1475 63.1015 0.84 0.2648 1.1382 0.8400 0.8354 0.1331 0.0423
61.0482 60.0 1500 63.0557 0.835 0.2655 1.0688 0.835 0.8293 0.1333 0.0420
61.0482 61.0 1525 63.0590 0.835 0.2655 1.1378 0.835 0.8315 0.1425 0.0416
61.0482 62.0 1550 63.0732 0.845 0.2661 1.0565 0.845 0.8381 0.1404 0.0413
61.0482 63.0 1575 63.0972 0.855 0.2659 1.1274 0.855 0.8501 0.1424 0.0416
61.0482 64.0 1600 63.0528 0.84 0.2694 1.1315 0.8400 0.8330 0.1355 0.0418
61.0482 65.0 1625 63.0625 0.835 0.2683 1.1336 0.835 0.8281 0.1373 0.0411
61.0482 66.0 1650 63.0512 0.835 0.2747 1.1250 0.835 0.8242 0.1436 0.0410
61.0482 67.0 1675 63.0634 0.85 0.2671 1.1270 0.85 0.8397 0.1376 0.0419
61.0482 68.0 1700 63.0609 0.835 0.2717 1.1311 0.835 0.8295 0.1365 0.0411
61.0482 69.0 1725 63.0513 0.835 0.2707 1.1261 0.835 0.8223 0.1461 0.0412
61.0482 70.0 1750 63.0510 0.845 0.2712 1.1219 0.845 0.8396 0.1369 0.0411
61.0482 71.0 1775 63.0530 0.845 0.2688 1.1244 0.845 0.8364 0.1403 0.0412
61.0482 72.0 1800 63.0456 0.84 0.2665 1.1204 0.8400 0.8293 0.1341 0.0400
61.0482 73.0 1825 63.0459 0.845 0.2680 1.1244 0.845 0.8360 0.1430 0.0398
61.0482 74.0 1850 63.0773 0.85 0.2684 1.1291 0.85 0.8440 0.1386 0.0410
61.0482 75.0 1875 63.0497 0.85 0.2664 1.1285 0.85 0.8388 0.1293 0.0392
61.0482 76.0 1900 63.0483 0.845 0.2695 1.1256 0.845 0.8352 0.1440 0.0409
61.0482 77.0 1925 63.0352 0.845 0.2680 1.1229 0.845 0.8352 0.1420 0.0398
61.0482 78.0 1950 63.0291 0.845 0.2701 1.1225 0.845 0.8352 0.1342 0.0394
61.0482 79.0 1975 63.0508 0.85 0.2695 1.1224 0.85 0.8388 0.1418 0.0399
60.9704 80.0 2000 63.0510 0.85 0.2708 1.1169 0.85 0.8388 0.1376 0.0394
60.9704 81.0 2025 63.0460 0.85 0.2648 1.1205 0.85 0.8440 0.1357 0.0397
60.9704 82.0 2050 63.0505 0.845 0.2697 1.1148 0.845 0.8352 0.1464 0.0392
60.9704 83.0 2075 63.0425 0.845 0.2651 1.1229 0.845 0.8352 0.1396 0.0389
60.9704 84.0 2100 63.0398 0.845 0.2664 1.1197 0.845 0.8337 0.1330 0.0388
60.9704 85.0 2125 63.0355 0.845 0.2667 1.1192 0.845 0.8360 0.1307 0.0387
60.9704 86.0 2150 63.0386 0.85 0.2649 1.1223 0.85 0.8409 0.1279 0.0379
60.9704 87.0 2175 63.0405 0.85 0.2642 1.1218 0.85 0.8409 0.1437 0.0378
60.9704 88.0 2200 63.0363 0.85 0.2667 1.1165 0.85 0.8388 0.1320 0.0390
60.9704 89.0 2225 63.0456 0.845 0.2644 1.1180 0.845 0.8352 0.1354 0.0381
60.9704 90.0 2250 63.0343 0.845 0.2656 1.1159 0.845 0.8337 0.1390 0.0385
60.9704 91.0 2275 63.0391 0.85 0.2654 1.1194 0.85 0.8409 0.1389 0.0380
60.9704 92.0 2300 63.0354 0.85 0.2665 1.1203 0.85 0.8409 0.1419 0.0377
60.9704 93.0 2325 63.0272 0.845 0.2650 1.1166 0.845 0.8381 0.1370 0.0381
60.9704 94.0 2350 63.0313 0.85 0.2647 1.1181 0.85 0.8409 0.1322 0.0380
60.9704 95.0 2375 63.0220 0.845 0.2658 1.1197 0.845 0.8357 0.1311 0.0378
60.9704 96.0 2400 63.0345 0.85 0.2639 1.1179 0.85 0.8409 0.1284 0.0381
60.9704 97.0 2425 63.0330 0.845 0.2651 1.1163 0.845 0.8352 0.1391 0.0382
60.9704 98.0 2450 63.0302 0.85 0.2646 1.1182 0.85 0.8409 0.1311 0.0380
60.9704 99.0 2475 63.0287 0.85 0.2646 1.1175 0.85 0.8409 0.1250 0.0380
60.9392 100.0 2500 63.0326 0.85 0.2647 1.1178 0.85 0.8409 0.1296 0.0380

Framework versions