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# dit-base_tobacco-tiny_tobacco3482_kd_MSE

This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0108
- Accuracy: 0.815
- Brier Loss: 0.2593
- Nll: 1.1011
- F1 Micro: 0.815
- F1 Macro: 0.8014
- Ece: 0.1462
- Aurc: 0.0442

## 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:
- learning_rate: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Brier Loss | Nll    | F1 Micro | F1 Macro | Ece    | Aurc   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:------:|:--------:|:--------:|:------:|:------:|
| No log        | 1.0   | 7    | 7.1562          | 0.195    | 0.9158     | 7.6908 | 0.195    | 0.1043   | 0.2991 | 0.7927 |
| No log        | 2.0   | 14   | 6.3485          | 0.245    | 0.8600     | 4.2261 | 0.245    | 0.1794   | 0.2960 | 0.7445 |
| No log        | 3.0   | 21   | 5.2488          | 0.41     | 0.7090     | 3.6293 | 0.41     | 0.3494   | 0.2826 | 0.3786 |
| No log        | 4.0   | 28   | 4.0484          | 0.565    | 0.5698     | 1.7703 | 0.565    | 0.5209   | 0.2622 | 0.2372 |
| No log        | 5.0   | 35   | 3.0368          | 0.655    | 0.4710     | 1.5921 | 0.655    | 0.6368   | 0.2222 | 0.1598 |
| No log        | 6.0   | 42   | 2.6191          | 0.695    | 0.4219     | 1.6919 | 0.695    | 0.6535   | 0.2041 | 0.1200 |
| No log        | 7.0   | 49   | 2.0941          | 0.725    | 0.3913     | 1.3852 | 0.7250   | 0.6844   | 0.2046 | 0.0966 |
| No log        | 8.0   | 56   | 2.0668          | 0.725    | 0.4119     | 1.3829 | 0.7250   | 0.6811   | 0.1890 | 0.1045 |
| No log        | 9.0   | 63   | 1.7456          | 0.79     | 0.3138     | 1.5258 | 0.79     | 0.7539   | 0.1521 | 0.0651 |
| No log        | 10.0  | 70   | 1.5815          | 0.77     | 0.3391     | 1.2461 | 0.7700   | 0.7323   | 0.1593 | 0.0725 |
| No log        | 11.0  | 77   | 1.5720          | 0.785    | 0.2895     | 1.3282 | 0.785    | 0.7659   | 0.1408 | 0.0522 |
| No log        | 12.0  | 84   | 1.8886          | 0.78     | 0.3692     | 1.6238 | 0.78     | 0.7717   | 0.2015 | 0.0917 |
| No log        | 13.0  | 91   | 1.6164          | 0.785    | 0.2918     | 1.6303 | 0.785    | 0.7925   | 0.1545 | 0.0564 |
| No log        | 14.0  | 98   | 1.4318          | 0.785    | 0.3220     | 1.3070 | 0.785    | 0.7606   | 0.1430 | 0.0639 |
| No log        | 15.0  | 105  | 1.2774          | 0.81     | 0.2807     | 1.2877 | 0.81     | 0.7939   | 0.1532 | 0.0595 |
| No log        | 16.0  | 112  | 1.3797          | 0.8      | 0.2993     | 1.2409 | 0.8000   | 0.7759   | 0.1565 | 0.0700 |
| No log        | 17.0  | 119  | 1.3629          | 0.795    | 0.3091     | 1.1781 | 0.795    | 0.7670   | 0.1712 | 0.0567 |
| No log        | 18.0  | 126  | 1.5101          | 0.8      | 0.3192     | 1.3586 | 0.8000   | 0.7878   | 0.1919 | 0.0665 |
| No log        | 19.0  | 133  | 1.3897          | 0.805    | 0.2857     | 1.4983 | 0.805    | 0.7851   | 0.1356 | 0.0516 |
| No log        | 20.0  | 140  | 1.3821          | 0.795    | 0.3204     | 1.0916 | 0.795    | 0.7745   | 0.1678 | 0.0651 |
| No log        | 21.0  | 147  | 1.2852          | 0.83     | 0.2621     | 1.5182 | 0.83     | 0.8246   | 0.1483 | 0.0486 |
| No log        | 22.0  | 154  | 1.2080          | 0.815    | 0.2744     | 1.1921 | 0.815    | 0.7957   | 0.1319 | 0.0500 |
| No log        | 23.0  | 161  | 1.4016          | 0.805    | 0.3165     | 1.3364 | 0.805    | 0.7844   | 0.1534 | 0.0624 |
| No log        | 24.0  | 168  | 1.2883          | 0.825    | 0.2592     | 1.4946 | 0.825    | 0.8119   | 0.1549 | 0.0481 |
| No log        | 25.0  | 175  | 1.1715          | 0.815    | 0.2676     | 1.3363 | 0.815    | 0.8054   | 0.1464 | 0.0494 |
| No log        | 26.0  | 182  | 1.1844          | 0.825    | 0.2585     | 1.4938 | 0.825    | 0.8045   | 0.1572 | 0.0469 |
| No log        | 27.0  | 189  | 1.1739          | 0.81     | 0.2959     | 1.0692 | 0.81     | 0.7909   | 0.1625 | 0.0550 |
| No log        | 28.0  | 196  | 1.1944          | 0.815    | 0.2891     | 1.1811 | 0.815    | 0.7971   | 0.1430 | 0.0572 |
| No log        | 29.0  | 203  | 1.2115          | 0.83     | 0.2597     | 1.4809 | 0.83     | 0.8101   | 0.1289 | 0.0469 |
| No log        | 30.0  | 210  | 1.1622          | 0.81     | 0.2825     | 1.1104 | 0.81     | 0.7931   | 0.1463 | 0.0511 |
| No log        | 31.0  | 217  | 1.2591          | 0.8      | 0.3096     | 1.2310 | 0.8000   | 0.7789   | 0.1719 | 0.0591 |
| No log        | 32.0  | 224  | 1.1752          | 0.82     | 0.2687     | 1.4091 | 0.82     | 0.7959   | 0.1581 | 0.0504 |
| No log        | 33.0  | 231  | 1.1114          | 0.815    | 0.2719     | 1.0945 | 0.815    | 0.7885   | 0.1492 | 0.0485 |
| No log        | 34.0  | 238  | 1.1105          | 0.815    | 0.2727     | 1.1239 | 0.815    | 0.7962   | 0.1300 | 0.0479 |
| No log        | 35.0  | 245  | 1.1662          | 0.825    | 0.2748     | 1.3396 | 0.825    | 0.8100   | 0.1571 | 0.0554 |
| No log        | 36.0  | 252  | 1.1023          | 0.815    | 0.2757     | 1.1805 | 0.815    | 0.8031   | 0.1428 | 0.0504 |
| No log        | 37.0  | 259  | 1.1060          | 0.84     | 0.2604     | 1.3305 | 0.8400   | 0.8319   | 0.1596 | 0.0487 |
| No log        | 38.0  | 266  | 1.1123          | 0.81     | 0.2682     | 1.1122 | 0.81     | 0.7922   | 0.1310 | 0.0482 |
| No log        | 39.0  | 273  | 1.0820          | 0.815    | 0.2669     | 1.1629 | 0.815    | 0.7955   | 0.1479 | 0.0490 |
| No log        | 40.0  | 280  | 1.0972          | 0.805    | 0.2784     | 1.2442 | 0.805    | 0.7858   | 0.1576 | 0.0483 |
| No log        | 41.0  | 287  | 1.0845          | 0.83     | 0.2705     | 1.1180 | 0.83     | 0.8221   | 0.1504 | 0.0468 |
| No log        | 42.0  | 294  | 1.0769          | 0.82     | 0.2602     | 1.1173 | 0.82     | 0.8066   | 0.1458 | 0.0451 |
| No log        | 43.0  | 301  | 1.1366          | 0.81     | 0.2939     | 1.0722 | 0.81     | 0.7958   | 0.1532 | 0.0526 |
| No log        | 44.0  | 308  | 1.0716          | 0.82     | 0.2635     | 1.1839 | 0.82     | 0.8043   | 0.1403 | 0.0451 |
| No log        | 45.0  | 315  | 1.0865          | 0.81     | 0.2770     | 1.3595 | 0.81     | 0.7929   | 0.1501 | 0.0528 |
| No log        | 46.0  | 322  | 1.0768          | 0.82     | 0.2638     | 1.1161 | 0.82     | 0.8067   | 0.1462 | 0.0457 |
| No log        | 47.0  | 329  | 1.0644          | 0.825    | 0.2552     | 1.2086 | 0.825    | 0.8098   | 0.1579 | 0.0439 |
| No log        | 48.0  | 336  | 1.0511          | 0.815    | 0.2656     | 1.1019 | 0.815    | 0.8014   | 0.1518 | 0.0471 |
| No log        | 49.0  | 343  | 1.0517          | 0.82     | 0.2717     | 1.0881 | 0.82     | 0.8044   | 0.1559 | 0.0473 |
| No log        | 50.0  | 350  | 1.0824          | 0.81     | 0.2813     | 1.1022 | 0.81     | 0.7968   | 0.1538 | 0.0505 |
| No log        | 51.0  | 357  | 1.1439          | 0.835    | 0.2634     | 1.3483 | 0.835    | 0.8206   | 0.1471 | 0.0496 |
| No log        | 52.0  | 364  | 1.0444          | 0.83     | 0.2500     | 1.0999 | 0.83     | 0.8156   | 0.1310 | 0.0423 |
| No log        | 53.0  | 371  | 1.0426          | 0.825    | 0.2644     | 1.1112 | 0.825    | 0.8053   | 0.1295 | 0.0474 |
| No log        | 54.0  | 378  | 1.0341          | 0.825    | 0.2635     | 1.1053 | 0.825    | 0.8092   | 0.1467 | 0.0465 |
| No log        | 55.0  | 385  | 1.0900          | 0.815    | 0.2762     | 1.1021 | 0.815    | 0.7990   | 0.1439 | 0.0480 |
| No log        | 56.0  | 392  | 1.0423          | 0.845    | 0.2517     | 1.2594 | 0.845    | 0.8444   | 0.1497 | 0.0428 |
| No log        | 57.0  | 399  | 1.0246          | 0.825    | 0.2634     | 1.0927 | 0.825    | 0.8130   | 0.1260 | 0.0454 |
| No log        | 58.0  | 406  | 1.0365          | 0.835    | 0.2649     | 1.0825 | 0.835    | 0.8232   | 0.1291 | 0.0448 |
| No log        | 59.0  | 413  | 1.0394          | 0.82     | 0.2668     | 1.0968 | 0.82     | 0.8045   | 0.1458 | 0.0460 |
| No log        | 60.0  | 420  | 1.0261          | 0.815    | 0.2720     | 1.0883 | 0.815    | 0.8011   | 0.1409 | 0.0472 |
| No log        | 61.0  | 427  | 1.0503          | 0.83     | 0.2543     | 1.3230 | 0.83     | 0.8132   | 0.1378 | 0.0455 |
| No log        | 62.0  | 434  | 1.0400          | 0.82     | 0.2637     | 1.0958 | 0.82     | 0.8043   | 0.1397 | 0.0456 |
| No log        | 63.0  | 441  | 1.0338          | 0.82     | 0.2629     | 1.0960 | 0.82     | 0.8042   | 0.1338 | 0.0435 |
| No log        | 64.0  | 448  | 1.0373          | 0.84     | 0.2508     | 1.2817 | 0.8400   | 0.8260   | 0.1325 | 0.0433 |
| No log        | 65.0  | 455  | 1.0266          | 0.83     | 0.2663     | 1.1057 | 0.83     | 0.8163   | 0.1383 | 0.0460 |
| No log        | 66.0  | 462  | 1.0303          | 0.825    | 0.2549     | 1.1906 | 0.825    | 0.8098   | 0.1399 | 0.0450 |
| No log        | 67.0  | 469  | 1.0224          | 0.82     | 0.2668     | 1.0920 | 0.82     | 0.8042   | 0.1252 | 0.0433 |
| No log        | 68.0  | 476  | 1.0274          | 0.845    | 0.2526     | 1.1948 | 0.845    | 0.8368   | 0.1423 | 0.0442 |
| No log        | 69.0  | 483  | 1.0145          | 0.82     | 0.2647     | 1.0884 | 0.82     | 0.8070   | 0.1345 | 0.0449 |
| No log        | 70.0  | 490  | 1.0194          | 0.815    | 0.2606     | 1.1076 | 0.815    | 0.8014   | 0.1529 | 0.0446 |
| No log        | 71.0  | 497  | 1.0153          | 0.825    | 0.2572     | 1.2484 | 0.825    | 0.8142   | 0.1425 | 0.0445 |
| 0.6377        | 72.0  | 504  | 1.0265          | 0.815    | 0.2607     | 1.1109 | 0.815    | 0.8039   | 0.1457 | 0.0445 |
| 0.6377        | 73.0  | 511  | 1.0081          | 0.82     | 0.2567     | 1.1031 | 0.82     | 0.8040   | 0.1321 | 0.0440 |
| 0.6377        | 74.0  | 518  | 1.0135          | 0.825    | 0.2600     | 1.1036 | 0.825    | 0.8074   | 0.1477 | 0.0450 |
| 0.6377        | 75.0  | 525  | 1.0053          | 0.82     | 0.2616     | 1.1012 | 0.82     | 0.8044   | 0.1542 | 0.0442 |
| 0.6377        | 76.0  | 532  | 1.0187          | 0.82     | 0.2598     | 1.1115 | 0.82     | 0.8069   | 0.1566 | 0.0445 |
| 0.6377        | 77.0  | 539  | 1.0127          | 0.82     | 0.2610     | 1.1024 | 0.82     | 0.8097   | 0.1489 | 0.0443 |
| 0.6377        | 78.0  | 546  | 1.0079          | 0.82     | 0.2581     | 1.1034 | 0.82     | 0.8069   | 0.1463 | 0.0434 |
| 0.6377        | 79.0  | 553  | 1.0097          | 0.815    | 0.2592     | 1.1030 | 0.815    | 0.8014   | 0.1478 | 0.0438 |
| 0.6377        | 80.0  | 560  | 1.0131          | 0.835    | 0.2556     | 1.1048 | 0.835    | 0.8281   | 0.1508 | 0.0441 |
| 0.6377        | 81.0  | 567  | 1.0183          | 0.82     | 0.2602     | 1.1057 | 0.82     | 0.8044   | 0.1417 | 0.0446 |
| 0.6377        | 82.0  | 574  | 1.0190          | 0.815    | 0.2665     | 1.0966 | 0.815    | 0.7987   | 0.1370 | 0.0462 |
| 0.6377        | 83.0  | 581  | 1.0117          | 0.815    | 0.2619     | 1.0974 | 0.815    | 0.8014   | 0.1614 | 0.0442 |
| 0.6377        | 84.0  | 588  | 1.0099          | 0.82     | 0.2557     | 1.1070 | 0.82     | 0.8044   | 0.1327 | 0.0436 |
| 0.6377        | 85.0  | 595  | 1.0088          | 0.82     | 0.2569     | 1.1037 | 0.82     | 0.8044   | 0.1446 | 0.0437 |
| 0.6377        | 86.0  | 602  | 1.0110          | 0.82     | 0.2596     | 1.0945 | 0.82     | 0.8043   | 0.1505 | 0.0442 |
| 0.6377        | 87.0  | 609  | 1.0151          | 0.815    | 0.2606     | 1.1046 | 0.815    | 0.8014   | 0.1416 | 0.0451 |
| 0.6377        | 88.0  | 616  | 1.0101          | 0.815    | 0.2587     | 1.1025 | 0.815    | 0.8014   | 0.1435 | 0.0440 |
| 0.6377        | 89.0  | 623  | 1.0106          | 0.815    | 0.2613     | 1.0976 | 0.815    | 0.8014   | 0.1489 | 0.0443 |
| 0.6377        | 90.0  | 630  | 1.0097          | 0.815    | 0.2590     | 1.0993 | 0.815    | 0.8014   | 0.1490 | 0.0439 |
| 0.6377        | 91.0  | 637  | 1.0098          | 0.815    | 0.2593     | 1.1024 | 0.815    | 0.8014   | 0.1510 | 0.0440 |
| 0.6377        | 92.0  | 644  | 1.0116          | 0.815    | 0.2600     | 1.1004 | 0.815    | 0.8014   | 0.1465 | 0.0442 |
| 0.6377        | 93.0  | 651  | 1.0107          | 0.815    | 0.2596     | 1.1005 | 0.815    | 0.8014   | 0.1548 | 0.0442 |
| 0.6377        | 94.0  | 658  | 1.0110          | 0.815    | 0.2599     | 1.0993 | 0.815    | 0.8014   | 0.1463 | 0.0440 |
| 0.6377        | 95.0  | 665  | 1.0106          | 0.815    | 0.2593     | 1.1011 | 0.815    | 0.8014   | 0.1409 | 0.0441 |
| 0.6377        | 96.0  | 672  | 1.0106          | 0.815    | 0.2596     | 1.1011 | 0.815    | 0.8014   | 0.1496 | 0.0442 |
| 0.6377        | 97.0  | 679  | 1.0109          | 0.815    | 0.2595     | 1.1007 | 0.815    | 0.8014   | 0.1462 | 0.0442 |
| 0.6377        | 98.0  | 686  | 1.0107          | 0.815    | 0.2593     | 1.1013 | 0.815    | 0.8014   | 0.1409 | 0.0441 |
| 0.6377        | 99.0  | 693  | 1.0107          | 0.815    | 0.2594     | 1.1009 | 0.815    | 0.8014   | 0.1462 | 0.0441 |
| 0.6377        | 100.0 | 700  | 1.0108          | 0.815    | 0.2593     | 1.1011 | 0.815    | 0.8014   | 0.1462 | 0.0442 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.2.0.dev20231112+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1

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