generated_from_trainer

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vit-base_rvl_tobacco_test_entropy_large

This model is a fine-tuned version of jordyvl/vit-base_rvl-cdip 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 0.96 12 2.5324 0.05 0.9010 18.0477 0.0500 0.0539 0.1568 0.9609
No log 2.0 25 2.4440 0.23 0.8823 11.6657 0.23 0.1501 0.2626 0.7837
No log 2.96 37 2.3026 0.435 0.8481 4.6649 0.435 0.2723 0.4061 0.2744
No log 4.0 50 2.0897 0.71 0.7862 3.1934 0.7100 0.5915 0.5791 0.0865
No log 4.96 62 1.8603 0.785 0.7065 1.8079 0.785 0.7047 0.6067 0.0508
No log 6.0 75 1.6025 0.845 0.6037 1.3384 0.845 0.7944 0.5657 0.0393
No log 6.96 87 1.3819 0.885 0.5101 1.1034 0.885 0.8660 0.5288 0.0355
No log 8.0 100 1.1701 0.905 0.4187 0.9002 0.905 0.8958 0.4765 0.0302
No log 8.96 112 1.0024 0.9 0.3462 0.8889 0.9 0.8913 0.3961 0.0259
No log 10.0 125 0.8487 0.91 0.2796 1.0389 0.91 0.9067 0.3464 0.0225
No log 10.96 137 0.7522 0.91 0.2395 1.0408 0.91 0.9090 0.2930 0.0225
No log 12.0 150 0.6862 0.905 0.2163 1.2027 0.905 0.9094 0.2529 0.0250
No log 12.96 162 0.6437 0.895 0.2035 1.0504 0.895 0.8998 0.2306 0.0230
No log 14.0 175 0.5896 0.905 0.1851 0.8758 0.905 0.9040 0.2122 0.0201
No log 14.96 187 0.5167 0.92 0.1528 0.7812 0.92 0.9119 0.1872 0.0143
No log 16.0 200 0.4894 0.935 0.1450 0.9154 0.935 0.9314 0.1962 0.0186
No log 16.96 212 0.4769 0.91 0.1451 1.1071 0.91 0.9109 0.1703 0.0196
No log 18.0 225 0.4573 0.91 0.1399 1.0919 0.91 0.9084 0.1621 0.0182
No log 18.96 237 0.4501 0.905 0.1409 0.9304 0.905 0.9056 0.1549 0.0177
No log 20.0 250 0.4434 0.905 0.1393 1.2519 0.905 0.9056 0.1552 0.0180
No log 20.96 262 0.4391 0.905 0.1403 1.2476 0.905 0.9056 0.1434 0.0178
No log 22.0 275 0.4326 0.905 0.1401 1.2419 0.905 0.9056 0.1396 0.0180
No log 22.96 287 0.4290 0.905 0.1407 1.2397 0.905 0.9051 0.1414 0.0181
No log 24.0 300 0.4255 0.905 0.1408 1.2373 0.905 0.9051 0.1346 0.0182
No log 24.96 312 0.4238 0.905 0.1418 1.2372 0.905 0.9051 0.1308 0.0183
No log 26.0 325 0.4212 0.905 0.1423 1.2348 0.905 0.9051 0.1288 0.0184
No log 26.96 337 0.4197 0.905 0.1429 1.2350 0.905 0.9051 0.1242 0.0187
No log 28.0 350 0.4181 0.905 0.1436 1.2331 0.905 0.9051 0.1298 0.0187
No log 28.96 362 0.4171 0.905 0.1443 1.2339 0.905 0.9051 0.1341 0.0188
No log 30.0 375 0.4158 0.905 0.1449 1.2322 0.905 0.9051 0.1261 0.0190
No log 30.96 387 0.4156 0.905 0.1458 1.2337 0.905 0.9051 0.1310 0.0190
No log 32.0 400 0.4145 0.905 0.1463 1.2323 0.905 0.9051 0.1244 0.0192
No log 32.96 412 0.4145 0.905 0.1472 1.2342 0.905 0.9051 0.1175 0.0193
No log 34.0 425 0.4140 0.905 0.1477 1.2353 0.905 0.9051 0.1163 0.0194
No log 34.96 437 0.4138 0.905 0.1485 1.2384 0.905 0.9051 0.1296 0.0195
No log 36.0 450 0.4137 0.905 0.1491 1.3855 0.905 0.9051 0.1271 0.0195
No log 36.96 462 0.4134 0.905 0.1497 1.3846 0.905 0.9051 0.1264 0.0196
No log 38.0 475 0.4137 0.905 0.1504 1.3842 0.905 0.9051 0.1254 0.0196
No log 38.96 487 0.4136 0.91 0.1509 1.3835 0.91 0.9109 0.1160 0.0196
0.5543 40.0 500 0.4140 0.91 0.1515 1.3831 0.91 0.9109 0.1190 0.0198
0.5543 40.96 512 0.4138 0.91 0.1519 1.3825 0.91 0.9109 0.1186 0.0198
0.5543 42.0 525 0.4143 0.91 0.1526 1.3822 0.91 0.9109 0.1180 0.0198
0.5543 42.96 537 0.4143 0.91 0.1530 1.3816 0.91 0.9109 0.1220 0.0199
0.5543 44.0 550 0.4148 0.91 0.1536 1.3815 0.91 0.9109 0.1214 0.0200
0.5543 44.96 562 0.4149 0.91 0.1539 1.3809 0.91 0.9109 0.1208 0.0200
0.5543 46.0 575 0.4154 0.91 0.1545 1.3807 0.91 0.9109 0.1173 0.0200
0.5543 46.96 587 0.4157 0.91 0.1549 1.3803 0.91 0.9109 0.1084 0.0202
0.5543 48.0 600 0.4162 0.91 0.1554 1.3801 0.91 0.9109 0.1080 0.0202
0.5543 48.96 612 0.4163 0.91 0.1557 1.3798 0.91 0.9109 0.1068 0.0202
0.5543 50.0 625 0.4169 0.91 0.1562 1.3795 0.91 0.9109 0.1066 0.0203
0.5543 50.96 637 0.4171 0.91 0.1565 1.3793 0.91 0.9109 0.1064 0.0203
0.5543 52.0 650 0.4177 0.91 0.1570 1.3791 0.91 0.9109 0.1120 0.0203
0.5543 52.96 662 0.4180 0.91 0.1573 1.3789 0.91 0.9109 0.1117 0.0203
0.5543 54.0 675 0.4185 0.91 0.1577 1.3786 0.91 0.9109 0.1065 0.0204
0.5543 54.96 687 0.4187 0.91 0.1579 1.3785 0.91 0.9109 0.1063 0.0204
0.5543 56.0 700 0.4193 0.91 0.1584 1.3782 0.91 0.9109 0.1062 0.0204
0.5543 56.96 712 0.4196 0.91 0.1586 1.3782 0.91 0.9109 0.1058 0.0206
0.5543 58.0 725 0.4200 0.91 0.1590 1.3779 0.91 0.9109 0.1060 0.0206
0.5543 58.96 737 0.4203 0.91 0.1592 1.3778 0.91 0.9109 0.1095 0.0207
0.5543 60.0 750 0.4209 0.91 0.1596 1.3776 0.91 0.9109 0.1055 0.0209
0.5543 60.96 762 0.4213 0.91 0.1598 1.3776 0.91 0.9109 0.1091 0.0209
0.5543 62.0 775 0.4216 0.91 0.1601 1.3772 0.91 0.9109 0.1019 0.0210
0.5543 62.96 787 0.4221 0.91 0.1603 1.3773 0.91 0.9109 0.1017 0.0211
0.5543 64.0 800 0.4225 0.905 0.1606 1.3769 0.905 0.9064 0.0997 0.0211
0.5543 64.96 812 0.4228 0.905 0.1608 1.3771 0.905 0.9064 0.0995 0.0211
0.5543 66.0 825 0.4232 0.9 0.1611 1.3766 0.9 0.9013 0.1046 0.0212
0.5543 66.96 837 0.4236 0.9 0.1613 1.3768 0.9 0.9013 0.1045 0.0213
0.5543 68.0 850 0.4240 0.9 0.1615 1.3764 0.9 0.9013 0.1026 0.0213
0.5543 68.96 862 0.4243 0.9 0.1617 1.3765 0.9 0.9013 0.1043 0.0213
0.5543 70.0 875 0.4247 0.9 0.1619 1.3762 0.9 0.9013 0.1060 0.0213
0.5543 70.96 887 0.4249 0.9 0.1620 1.3762 0.9 0.9013 0.1077 0.0214
0.5543 72.0 900 0.4254 0.9 0.1623 1.3760 0.9 0.9013 0.1057 0.0214
0.5543 72.96 912 0.4257 0.9 0.1624 1.3760 0.9 0.9013 0.1074 0.0213
0.5543 74.0 925 0.4259 0.9 0.1625 1.3758 0.9 0.9013 0.1056 0.0213
0.5543 74.96 937 0.4262 0.9 0.1627 1.3758 0.9 0.9013 0.1056 0.0214
0.5543 76.0 950 0.4266 0.9 0.1629 1.3757 0.9 0.9013 0.1058 0.0216
0.5543 76.96 962 0.4268 0.9 0.1630 1.3756 0.9 0.9013 0.1057 0.0216
0.5543 78.0 975 0.4271 0.9 0.1631 1.3755 0.9 0.9013 0.1076 0.0216
0.5543 78.96 987 0.4274 0.9 0.1632 1.3756 0.9 0.9013 0.1075 0.0216
0.0526 80.0 1000 0.4275 0.9 0.1634 1.3754 0.9 0.9013 0.1100 0.0217
0.0526 80.96 1012 0.4278 0.9 0.1635 1.3754 0.9 0.9013 0.1099 0.0218
0.0526 82.0 1025 0.4280 0.9 0.1636 1.3753 0.9 0.9013 0.1098 0.0218
0.0526 82.96 1037 0.4282 0.9 0.1637 1.3753 0.9 0.9013 0.1098 0.0218
0.0526 84.0 1050 0.4284 0.9 0.1638 1.3753 0.9 0.9013 0.1097 0.0218
0.0526 84.96 1062 0.4286 0.9 0.1638 1.3753 0.9 0.9013 0.1097 0.0218
0.0526 86.0 1075 0.4288 0.9 0.1639 1.3752 0.9 0.9013 0.1096 0.0218
0.0526 86.96 1087 0.4289 0.9 0.1640 1.3752 0.9 0.9013 0.1096 0.0218
0.0526 88.0 1100 0.4291 0.9 0.1641 1.3752 0.9 0.9013 0.1095 0.0218
0.0526 88.96 1112 0.4292 0.9 0.1641 1.3752 0.9 0.9013 0.1095 0.0218
0.0526 90.0 1125 0.4293 0.9 0.1642 1.3752 0.9 0.9013 0.1074 0.0219
0.0526 90.96 1137 0.4294 0.9 0.1642 1.3752 0.9 0.9013 0.1075 0.0219
0.0526 92.0 1150 0.4295 0.9 0.1642 1.3752 0.9 0.9013 0.1075 0.0220
0.0526 92.96 1162 0.4295 0.9 0.1643 1.3752 0.9 0.9013 0.1075 0.0220
0.0526 94.0 1175 0.4296 0.9 0.1643 1.3751 0.9 0.9013 0.1075 0.0220
0.0526 94.96 1187 0.4296 0.9 0.1643 1.3751 0.9 0.9013 0.1075 0.0220
0.0526 96.0 1200 0.4296 0.9 0.1643 1.3751 0.9 0.9013 0.1074 0.0220

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