generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

vit-small_rvl_cdip_100_examples_per_class_kd_CE

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 3.0120 0.085 0.9612 10.2074 0.085 0.0737 0.1585 0.8946
No log 2.0 14 2.6380 0.12 0.9247 6.9313 0.12 0.1257 0.1753 0.8678
No log 3.0 21 2.1951 0.36 0.7931 5.6390 0.36 0.3256 0.2066 0.4054
No log 4.0 28 1.8405 0.445 0.6971 3.5387 0.445 0.4479 0.1889 0.3068
No log 5.0 35 1.6213 0.525 0.6244 3.3423 0.525 0.5188 0.1821 0.2477
No log 6.0 42 1.5983 0.5275 0.6177 3.1202 0.5275 0.5220 0.1781 0.2448
No log 7.0 49 1.6214 0.54 0.6243 3.2514 0.54 0.5248 0.1758 0.2535
No log 8.0 56 1.4964 0.5675 0.5862 2.6168 0.5675 0.5715 0.1585 0.2200
No log 9.0 63 1.5696 0.575 0.5893 2.9901 0.575 0.5729 0.1851 0.2123
No log 10.0 70 1.6620 0.54 0.6257 3.1275 0.54 0.5425 0.2353 0.2343
No log 11.0 77 1.6901 0.585 0.5967 3.1708 0.585 0.5753 0.2006 0.1900
No log 12.0 84 1.5686 0.61 0.5645 2.9975 0.61 0.6129 0.1904 0.1830
No log 13.0 91 1.7390 0.5675 0.6159 3.0248 0.5675 0.5574 0.2200 0.2016
No log 14.0 98 1.6423 0.59 0.5778 2.9212 0.59 0.5827 0.2015 0.1863
No log 15.0 105 1.6262 0.61 0.5630 2.9492 0.61 0.6074 0.1950 0.1700
No log 16.0 112 1.6987 0.5925 0.5791 3.0433 0.5925 0.5852 0.2123 0.1674
No log 17.0 119 1.7256 0.5975 0.5782 3.0657 0.5975 0.5929 0.2214 0.1713
No log 18.0 126 1.7127 0.6125 0.5697 2.9494 0.6125 0.6110 0.2044 0.1706
No log 19.0 133 1.6961 0.62 0.5627 2.8745 0.62 0.6181 0.1972 0.1666
No log 20.0 140 1.6784 0.6275 0.5565 2.9077 0.6275 0.6256 0.2005 0.1614
No log 21.0 147 1.6699 0.62 0.5549 2.9148 0.62 0.6189 0.2089 0.1598
No log 22.0 154 1.6705 0.62 0.5561 2.9207 0.62 0.6186 0.2036 0.1593
No log 23.0 161 1.6749 0.62 0.5576 2.8938 0.62 0.6172 0.2017 0.1594
No log 24.0 168 1.6811 0.62 0.5586 2.9303 0.62 0.6176 0.2064 0.1602
No log 25.0 175 1.6870 0.625 0.5595 2.9457 0.625 0.6225 0.1996 0.1600
No log 26.0 182 1.6905 0.625 0.5600 2.9438 0.625 0.6228 0.1957 0.1604
No log 27.0 189 1.6920 0.625 0.5601 2.9207 0.625 0.6228 0.2030 0.1603
No log 28.0 196 1.6928 0.6225 0.5596 2.9140 0.6225 0.6201 0.2104 0.1598
No log 29.0 203 1.6934 0.6225 0.5596 2.9133 0.6225 0.6201 0.2171 0.1597
No log 30.0 210 1.6952 0.6225 0.5600 2.9156 0.6225 0.6199 0.2175 0.1597
No log 31.0 217 1.6962 0.6225 0.5604 2.9195 0.6225 0.6199 0.2151 0.1597
No log 32.0 224 1.6982 0.625 0.5609 2.9466 0.625 0.6216 0.2052 0.1598
No log 33.0 231 1.6996 0.625 0.5610 2.9468 0.625 0.6220 0.2073 0.1598
No log 34.0 238 1.7008 0.625 0.5611 2.9223 0.625 0.6220 0.2099 0.1595
No log 35.0 245 1.7028 0.625 0.5615 2.9159 0.625 0.6218 0.2062 0.1597
No log 36.0 252 1.7053 0.6275 0.5621 2.9154 0.6275 0.6246 0.2166 0.1598
No log 37.0 259 1.7078 0.625 0.5628 2.9132 0.625 0.6216 0.2113 0.1600
No log 38.0 266 1.7098 0.6275 0.5631 2.9119 0.6275 0.6243 0.2209 0.1601
No log 39.0 273 1.7112 0.625 0.5632 2.9136 0.625 0.6221 0.2164 0.1604
No log 40.0 280 1.7122 0.625 0.5633 2.9183 0.625 0.6221 0.2206 0.1603
No log 41.0 287 1.7134 0.6275 0.5635 2.9473 0.6275 0.6247 0.2192 0.1602
No log 42.0 294 1.7142 0.625 0.5636 2.9477 0.625 0.6220 0.2172 0.1600
No log 43.0 301 1.7152 0.6275 0.5634 2.9471 0.6275 0.6245 0.2090 0.1598
No log 44.0 308 1.7160 0.6275 0.5634 2.9175 0.6275 0.6245 0.2074 0.1597
No log 45.0 315 1.7172 0.6275 0.5637 2.9171 0.6275 0.6245 0.2138 0.1597
No log 46.0 322 1.7188 0.63 0.5640 2.9184 0.63 0.6272 0.2138 0.1597
No log 47.0 329 1.7204 0.63 0.5642 2.9171 0.63 0.6277 0.2146 0.1599
No log 48.0 336 1.7220 0.63 0.5643 2.9178 0.63 0.6277 0.2088 0.1599
No log 49.0 343 1.7233 0.6325 0.5643 2.9162 0.6325 0.6296 0.2114 0.1597
No log 50.0 350 1.7244 0.6325 0.5644 2.9149 0.6325 0.6296 0.2117 0.1598
No log 51.0 357 1.7253 0.6325 0.5645 2.9168 0.6325 0.6296 0.2078 0.1597
No log 52.0 364 1.7260 0.63 0.5647 2.9198 0.63 0.6271 0.2002 0.1598
No log 53.0 371 1.7268 0.63 0.5649 2.9230 0.63 0.6270 0.2068 0.1596
No log 54.0 378 1.7271 0.6275 0.5649 2.9547 0.6275 0.6241 0.2019 0.1599
No log 55.0 385 1.7281 0.6275 0.5652 2.9814 0.6275 0.6241 0.2084 0.1599
No log 56.0 392 1.7293 0.6275 0.5652 2.9522 0.6275 0.6241 0.2086 0.1599
No log 57.0 399 1.7306 0.6275 0.5653 2.9227 0.6275 0.6244 0.2160 0.1600
No log 58.0 406 1.7315 0.6275 0.5654 2.9203 0.6275 0.6244 0.2140 0.1598
No log 59.0 413 1.7322 0.6275 0.5655 2.9190 0.6275 0.6244 0.2229 0.1600
No log 60.0 420 1.7333 0.6275 0.5657 2.9184 0.6275 0.6250 0.2150 0.1600
No log 61.0 427 1.7343 0.63 0.5658 2.9166 0.63 0.6273 0.2304 0.1599
No log 62.0 434 1.7351 0.63 0.5660 2.9230 0.63 0.6275 0.2154 0.1598
No log 63.0 441 1.7354 0.63 0.5660 2.9476 0.63 0.6275 0.2056 0.1597
No log 64.0 448 1.7359 0.63 0.5661 2.9483 0.63 0.6275 0.2050 0.1598
No log 65.0 455 1.7366 0.6275 0.5661 2.9515 0.6275 0.6250 0.2053 0.1600
No log 66.0 462 1.7371 0.6275 0.5661 2.9588 0.6275 0.6250 0.2110 0.1600
No log 67.0 469 1.7378 0.6275 0.5663 2.9780 0.6275 0.6250 0.2108 0.1599
No log 68.0 476 1.7384 0.6275 0.5663 2.9530 0.6275 0.6250 0.2150 0.1599
No log 69.0 483 1.7392 0.63 0.5663 2.9631 0.63 0.6275 0.2114 0.1596
No log 70.0 490 1.7398 0.63 0.5663 2.9778 0.63 0.6275 0.2129 0.1596
No log 71.0 497 1.7402 0.63 0.5664 2.9544 0.63 0.6275 0.2227 0.1596
0.1799 72.0 504 1.7408 0.63 0.5665 2.9521 0.63 0.6275 0.2157 0.1596
0.1799 73.0 511 1.7412 0.63 0.5666 2.9508 0.63 0.6275 0.2262 0.1596
0.1799 74.0 518 1.7417 0.63 0.5666 2.9509 0.63 0.6272 0.2248 0.1596
0.1799 75.0 525 1.7420 0.63 0.5666 2.9555 0.63 0.6272 0.2219 0.1596
0.1799 76.0 532 1.7425 0.63 0.5667 2.9541 0.63 0.6268 0.2233 0.1596
0.1799 77.0 539 1.7430 0.63 0.5668 2.9773 0.63 0.6276 0.2133 0.1596
0.1799 78.0 546 1.7435 0.63 0.5668 2.9772 0.63 0.6276 0.2134 0.1597
0.1799 79.0 553 1.7439 0.63 0.5669 2.9514 0.63 0.6276 0.2142 0.1596
0.1799 80.0 560 1.7444 0.6325 0.5669 2.9499 0.6325 0.6303 0.2118 0.1594
0.1799 81.0 567 1.7451 0.6325 0.5669 2.9506 0.6325 0.6303 0.2078 0.1594
0.1799 82.0 574 1.7455 0.6325 0.5670 2.9617 0.6325 0.6303 0.2079 0.1594
0.1799 83.0 581 1.7459 0.6325 0.5671 2.9766 0.6325 0.6303 0.2130 0.1594
0.1799 84.0 588 1.7463 0.63 0.5672 2.9770 0.63 0.6278 0.2085 0.1597
0.1799 85.0 595 1.7466 0.6275 0.5672 2.9768 0.6275 0.6250 0.2111 0.1598
0.1799 86.0 602 1.7469 0.63 0.5673 2.9769 0.63 0.6278 0.2086 0.1597
0.1799 87.0 609 1.7472 0.6275 0.5673 2.9770 0.6275 0.6250 0.2140 0.1598
0.1799 88.0 616 1.7474 0.6275 0.5674 2.9771 0.6275 0.6250 0.2111 0.1598
0.1799 89.0 623 1.7477 0.6275 0.5674 2.9772 0.6275 0.6250 0.2112 0.1598
0.1799 90.0 630 1.7480 0.6275 0.5675 2.9770 0.6275 0.6250 0.2112 0.1598
0.1799 91.0 637 1.7483 0.6275 0.5675 2.9770 0.6275 0.6250 0.2112 0.1599
0.1799 92.0 644 1.7485 0.6275 0.5676 2.9769 0.6275 0.6250 0.2112 0.1598
0.1799 93.0 651 1.7486 0.6275 0.5676 2.9770 0.6275 0.6250 0.2112 0.1598
0.1799 94.0 658 1.7488 0.6275 0.5676 2.9770 0.6275 0.6250 0.2131 0.1598
0.1799 95.0 665 1.7489 0.6275 0.5676 2.9768 0.6275 0.6250 0.2143 0.1598
0.1799 96.0 672 1.7491 0.6275 0.5676 2.9768 0.6275 0.6250 0.2161 0.1599
0.1799 97.0 679 1.7492 0.6275 0.5676 2.9768 0.6275 0.6250 0.2161 0.1599
0.1799 98.0 686 1.7493 0.6275 0.5677 2.9768 0.6275 0.6250 0.2161 0.1599
0.1799 99.0 693 1.7493 0.6275 0.5677 2.9769 0.6275 0.6250 0.2161 0.1599
0.1799 100.0 700 1.7493 0.6275 0.5677 2.9769 0.6275 0.6250 0.2161 0.1599

Framework versions