generated_from_trainer

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vit-small_rvl_cdip_100_examples_per_class_kd_NKD_t1.0_g1.5

This model is a fine-tuned version of WinKawaks/vit-small-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 7.0792 0.0825 0.9657 10.6330 0.0825 0.0736 0.1618 0.9054
No log 2.0 14 6.4691 0.07 0.9514 8.1662 0.07 0.0643 0.1779 0.9461
No log 3.0 21 5.8986 0.2975 0.8596 5.3260 0.2975 0.2944 0.2211 0.5304
No log 4.0 28 5.5468 0.3925 0.7531 3.5791 0.3925 0.3860 0.2145 0.3645
No log 5.0 35 5.2678 0.46 0.6755 3.2144 0.46 0.4517 0.1901 0.2901
No log 6.0 42 5.1237 0.5075 0.6334 2.9369 0.5075 0.4888 0.1985 0.2550
No log 7.0 49 5.1530 0.5125 0.6131 3.1196 0.5125 0.4843 0.1634 0.2417
No log 8.0 56 5.0462 0.545 0.5898 2.7596 0.545 0.5376 0.1792 0.2232
No log 9.0 63 5.1437 0.565 0.5759 2.9426 0.565 0.5660 0.1715 0.2208
No log 10.0 70 4.9658 0.605 0.5382 2.4096 0.605 0.5945 0.1828 0.1734
No log 11.0 77 5.1189 0.57 0.5592 2.5892 0.57 0.5677 0.1381 0.1952
No log 12.0 84 5.2082 0.54 0.5774 2.7250 0.54 0.5323 0.1578 0.2144
No log 13.0 91 4.9674 0.5775 0.5365 2.5469 0.5775 0.5654 0.1603 0.1824
No log 14.0 98 5.0007 0.5875 0.5299 2.6635 0.5875 0.5778 0.1567 0.1701
No log 15.0 105 4.9925 0.585 0.5417 2.6416 0.585 0.5760 0.1731 0.1896
No log 16.0 112 4.8314 0.6425 0.4939 2.4601 0.6425 0.6444 0.1492 0.1506
No log 17.0 119 4.8729 0.6075 0.5197 2.4297 0.6075 0.6054 0.1511 0.1702
No log 18.0 126 4.8960 0.61 0.5085 2.2405 0.61 0.6197 0.1664 0.1657
No log 19.0 133 4.8227 0.62 0.5032 2.4320 0.62 0.6177 0.1399 0.1615
No log 20.0 140 4.9420 0.61 0.5160 2.3051 0.61 0.6119 0.1460 0.1722
No log 21.0 147 4.8779 0.6125 0.5132 2.3564 0.6125 0.6080 0.1549 0.1639
No log 22.0 154 4.9454 0.6125 0.5261 2.4064 0.6125 0.6155 0.1792 0.1733
No log 23.0 161 4.8659 0.5925 0.5018 2.5961 0.5925 0.5897 0.1537 0.1607
No log 24.0 168 4.8150 0.605 0.4996 2.2624 0.605 0.6050 0.1525 0.1588
No log 25.0 175 4.8303 0.6175 0.4970 2.1999 0.6175 0.6204 0.1284 0.1515
No log 26.0 182 4.8442 0.6225 0.5060 2.2842 0.6225 0.6251 0.1639 0.1614
No log 27.0 189 4.8260 0.63 0.4953 2.2666 0.63 0.6345 0.1638 0.1531
No log 28.0 196 4.8421 0.6375 0.4979 2.3173 0.6375 0.6344 0.1430 0.1525
No log 29.0 203 4.9011 0.62 0.5066 2.2663 0.62 0.6221 0.1596 0.1602
No log 30.0 210 4.8689 0.62 0.4994 2.1498 0.62 0.6260 0.1581 0.1567
No log 31.0 217 4.8681 0.6075 0.5143 2.0979 0.6075 0.6080 0.1673 0.1641
No log 32.0 224 4.8489 0.6 0.5074 2.1485 0.6 0.5913 0.1579 0.1613
No log 33.0 231 4.8669 0.63 0.5037 2.3142 0.63 0.6272 0.1512 0.1519
No log 34.0 238 4.8382 0.6075 0.5005 2.1817 0.6075 0.6038 0.1683 0.1552
No log 35.0 245 4.8406 0.61 0.5012 2.2132 0.61 0.6019 0.1443 0.1518
No log 36.0 252 4.8241 0.6275 0.5040 2.2466 0.6275 0.6182 0.1511 0.1563
No log 37.0 259 4.8359 0.6225 0.4993 2.1727 0.6225 0.6201 0.1665 0.1570
No log 38.0 266 4.8812 0.6025 0.5155 2.2712 0.6025 0.5990 0.1634 0.1649
No log 39.0 273 4.8672 0.61 0.5075 2.1626 0.61 0.6073 0.1603 0.1592
No log 40.0 280 4.9083 0.6175 0.5098 2.1507 0.6175 0.6204 0.1524 0.1594
No log 41.0 287 4.8942 0.61 0.5132 2.2443 0.61 0.6070 0.1574 0.1618
No log 42.0 294 4.9435 0.62 0.5177 2.1770 0.62 0.6186 0.1567 0.1664
No log 43.0 301 4.8836 0.63 0.5089 2.1922 0.63 0.6300 0.1612 0.1553
No log 44.0 308 4.9806 0.6225 0.5205 2.1855 0.6225 0.6213 0.1715 0.1631
No log 45.0 315 4.9314 0.6225 0.5185 2.1783 0.6225 0.6182 0.1743 0.1631
No log 46.0 322 4.8615 0.6275 0.4984 2.2407 0.6275 0.6259 0.1529 0.1497
No log 47.0 329 4.8550 0.625 0.4985 2.1229 0.625 0.6261 0.1517 0.1531
No log 48.0 336 4.9218 0.6125 0.5113 2.2200 0.6125 0.6114 0.1627 0.1588
No log 49.0 343 4.9067 0.63 0.5102 2.2177 0.63 0.6299 0.1534 0.1567
No log 50.0 350 4.9040 0.6125 0.5110 2.1105 0.6125 0.6136 0.1731 0.1559
No log 51.0 357 4.9557 0.615 0.5180 2.2031 0.615 0.6157 0.1726 0.1602
No log 52.0 364 4.9409 0.61 0.5195 2.2616 0.61 0.6079 0.1627 0.1618
No log 53.0 371 4.9290 0.6225 0.5125 2.1352 0.6225 0.6227 0.1873 0.1549
No log 54.0 378 4.9297 0.6225 0.5075 2.1558 0.6225 0.6216 0.1724 0.1530
No log 55.0 385 4.9192 0.6225 0.5131 2.1572 0.6225 0.6220 0.1655 0.1578
No log 56.0 392 4.9760 0.61 0.5203 2.1227 0.61 0.6092 0.1852 0.1594
No log 57.0 399 4.9860 0.6125 0.5208 2.1996 0.6125 0.6154 0.1812 0.1608
No log 58.0 406 4.9418 0.62 0.5176 2.1034 0.62 0.6220 0.1635 0.1549
No log 59.0 413 4.9462 0.62 0.5143 2.1095 0.62 0.6221 0.1855 0.1553
No log 60.0 420 4.9447 0.6175 0.5142 2.0731 0.6175 0.6180 0.1571 0.1533
No log 61.0 427 4.9677 0.63 0.5091 2.1491 0.63 0.6346 0.1693 0.1498
No log 62.0 434 4.9567 0.62 0.5089 2.1222 0.62 0.6242 0.1609 0.1546
No log 63.0 441 4.9378 0.6325 0.5030 2.1787 0.6325 0.6310 0.1558 0.1471
No log 64.0 448 4.9764 0.6175 0.5154 2.0751 0.6175 0.6192 0.1835 0.1549
No log 65.0 455 4.9520 0.6325 0.5069 2.1067 0.6325 0.6352 0.1670 0.1499
No log 66.0 462 4.9649 0.6375 0.5109 2.1016 0.6375 0.6361 0.1665 0.1506
No log 67.0 469 5.0023 0.635 0.5174 2.2166 0.635 0.6350 0.1653 0.1543
No log 68.0 476 5.0084 0.63 0.5187 2.1238 0.63 0.6302 0.1674 0.1535
No log 69.0 483 4.9875 0.6325 0.5096 2.1744 0.6325 0.6345 0.1822 0.1510
No log 70.0 490 5.0129 0.6325 0.5151 2.1042 0.6325 0.6335 0.1691 0.1535
No log 71.0 497 5.0389 0.6275 0.5201 2.0941 0.6275 0.6283 0.1765 0.1550
3.4121 72.0 504 5.0288 0.6325 0.5168 2.1299 0.6325 0.6314 0.1802 0.1529
3.4121 73.0 511 5.0181 0.625 0.5121 2.1690 0.625 0.6236 0.1683 0.1511
3.4121 74.0 518 5.0422 0.625 0.5139 2.1323 0.625 0.6264 0.1873 0.1517
3.4121 75.0 525 5.0557 0.6325 0.5177 2.1695 0.6325 0.6342 0.1677 0.1503
3.4121 76.0 532 5.0440 0.6375 0.5113 2.1384 0.6375 0.6384 0.1714 0.1489
3.4121 77.0 539 5.0710 0.6375 0.5163 2.1017 0.6375 0.6397 0.1785 0.1508
3.4121 78.0 546 5.1024 0.63 0.5218 2.0905 0.63 0.6280 0.1724 0.1538
3.4121 79.0 553 5.0906 0.635 0.5186 2.1293 0.635 0.6358 0.1908 0.1509
3.4121 80.0 560 5.1027 0.63 0.5206 2.1292 0.63 0.6299 0.1850 0.1525
3.4121 81.0 567 5.1063 0.64 0.5161 2.1620 0.64 0.6404 0.1754 0.1489
3.4121 82.0 574 5.1267 0.64 0.5207 2.1291 0.64 0.6400 0.1849 0.1516
3.4121 83.0 581 5.1332 0.63 0.5224 2.1338 0.63 0.6322 0.1750 0.1522
3.4121 84.0 588 5.1408 0.6325 0.5233 2.1333 0.6325 0.6334 0.1797 0.1522
3.4121 85.0 595 5.1510 0.63 0.5224 2.1635 0.63 0.6301 0.1755 0.1522
3.4121 86.0 602 5.1536 0.6375 0.5215 2.1628 0.6375 0.6382 0.1683 0.1511
3.4121 87.0 609 5.1580 0.6325 0.5228 2.1348 0.6325 0.6328 0.1779 0.1523
3.4121 88.0 616 5.1701 0.64 0.5235 2.1352 0.64 0.6417 0.1818 0.1515
3.4121 89.0 623 5.1734 0.6375 0.5235 2.1354 0.6375 0.6385 0.1775 0.1515
3.4121 90.0 630 5.1779 0.635 0.5243 2.1334 0.635 0.6360 0.1842 0.1519
3.4121 91.0 637 5.1834 0.635 0.5241 2.1344 0.635 0.6363 0.1813 0.1521
3.4121 92.0 644 5.1877 0.6375 0.5247 2.1356 0.6375 0.6385 0.1871 0.1517
3.4121 93.0 651 5.1906 0.635 0.5245 2.1389 0.635 0.6360 0.1888 0.1520
3.4121 94.0 658 5.1935 0.635 0.5248 2.1083 0.635 0.6363 0.1831 0.1521
3.4121 95.0 665 5.1955 0.635 0.5249 2.1098 0.635 0.6363 0.1795 0.1521
3.4121 96.0 672 5.1978 0.635 0.5250 2.1079 0.635 0.6363 0.1820 0.1521
3.4121 97.0 679 5.1995 0.635 0.5251 2.1073 0.635 0.6363 0.1834 0.1521
3.4121 98.0 686 5.2004 0.635 0.5251 2.1072 0.635 0.6360 0.1834 0.1520
3.4121 99.0 693 5.2012 0.635 0.5252 2.1071 0.635 0.6360 0.1836 0.1520
3.4121 100.0 700 5.2014 0.635 0.5252 2.1069 0.635 0.6363 0.1836 0.1520

Framework versions