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# dit-base_tobacco-small_tobacco3482_kd_MSE

This model is a fine-tuned version of [WinKawaks/vit-small-patch16-224](https://huggingface.co/WinKawaks/vit-small-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7746
- Accuracy: 0.81
- Brier Loss: 0.2775
- Nll: 1.1981
- F1 Micro: 0.81
- F1 Macro: 0.7980
- Ece: 0.1403
- Aurc: 0.0500

## 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    | 7.0083          | 0.14     | 0.9250     | 5.4655 | 0.14     | 0.1468   | 0.2824 | 0.8920 |
| No log        | 2.0   | 14   | 5.8247          | 0.35     | 0.7844     | 3.6804 | 0.35     | 0.2240   | 0.2541 | 0.5601 |
| No log        | 3.0   | 21   | 4.1788          | 0.49     | 0.6140     | 1.8305 | 0.49     | 0.4563   | 0.2512 | 0.2825 |
| No log        | 4.0   | 28   | 2.7911          | 0.66     | 0.4534     | 1.6541 | 0.66     | 0.5604   | 0.2299 | 0.1475 |
| No log        | 5.0   | 35   | 2.3354          | 0.74     | 0.3892     | 1.8678 | 0.74     | 0.6851   | 0.2104 | 0.0989 |
| No log        | 6.0   | 42   | 1.9675          | 0.73     | 0.3585     | 1.3943 | 0.7300   | 0.6822   | 0.1846 | 0.0930 |
| No log        | 7.0   | 49   | 1.7187          | 0.79     | 0.3190     | 1.3921 | 0.79     | 0.7510   | 0.1739 | 0.0760 |
| No log        | 8.0   | 56   | 1.6507          | 0.77     | 0.3469     | 1.3682 | 0.7700   | 0.7289   | 0.1834 | 0.0851 |
| No log        | 9.0   | 63   | 1.2713          | 0.79     | 0.3040     | 1.4042 | 0.79     | 0.7622   | 0.1505 | 0.0540 |
| No log        | 10.0  | 70   | 1.1461          | 0.805    | 0.2852     | 1.3953 | 0.805    | 0.7849   | 0.1371 | 0.0522 |
| No log        | 11.0  | 77   | 1.1328          | 0.81     | 0.2713     | 1.3113 | 0.81     | 0.7901   | 0.1371 | 0.0442 |
| No log        | 12.0  | 84   | 1.2818          | 0.8      | 0.3192     | 1.2680 | 0.8000   | 0.7808   | 0.1674 | 0.0725 |
| No log        | 13.0  | 91   | 1.0493          | 0.805    | 0.2767     | 1.2512 | 0.805    | 0.7846   | 0.1451 | 0.0535 |
| No log        | 14.0  | 98   | 0.9657          | 0.815    | 0.2802     | 1.1796 | 0.815    | 0.7965   | 0.1680 | 0.0487 |
| No log        | 15.0  | 105  | 0.9910          | 0.82     | 0.2695     | 1.3658 | 0.82     | 0.8000   | 0.1400 | 0.0475 |
| No log        | 16.0  | 112  | 0.9828          | 0.81     | 0.2823     | 1.3175 | 0.81     | 0.7974   | 0.1390 | 0.0549 |
| No log        | 17.0  | 119  | 0.9279          | 0.8      | 0.2815     | 1.3727 | 0.8000   | 0.7882   | 0.1599 | 0.0454 |
| No log        | 18.0  | 126  | 1.0076          | 0.805    | 0.2929     | 1.2999 | 0.805    | 0.7825   | 0.1480 | 0.0562 |
| No log        | 19.0  | 133  | 0.9524          | 0.82     | 0.2705     | 1.3029 | 0.82     | 0.8122   | 0.1481 | 0.0454 |
| No log        | 20.0  | 140  | 1.0584          | 0.795    | 0.3010     | 1.3019 | 0.795    | 0.7699   | 0.1669 | 0.0650 |
| No log        | 21.0  | 147  | 0.9390          | 0.805    | 0.2775     | 1.4073 | 0.805    | 0.7888   | 0.1211 | 0.0513 |
| No log        | 22.0  | 154  | 0.9857          | 0.81     | 0.2895     | 1.2894 | 0.81     | 0.7879   | 0.1469 | 0.0548 |
| No log        | 23.0  | 161  | 0.9137          | 0.795    | 0.2809     | 1.4461 | 0.795    | 0.7872   | 0.1528 | 0.0472 |
| No log        | 24.0  | 168  | 0.8545          | 0.815    | 0.2844     | 1.2582 | 0.815    | 0.7981   | 0.1466 | 0.0484 |
| No log        | 25.0  | 175  | 0.8860          | 0.81     | 0.2766     | 1.4525 | 0.81     | 0.8010   | 0.1241 | 0.0457 |
| No log        | 26.0  | 182  | 0.8624          | 0.83     | 0.2813     | 1.1993 | 0.83     | 0.8222   | 0.1536 | 0.0512 |
| No log        | 27.0  | 189  | 0.9119          | 0.805    | 0.2894     | 1.4164 | 0.805    | 0.7869   | 0.1576 | 0.0519 |
| No log        | 28.0  | 196  | 0.9072          | 0.82     | 0.2753     | 1.2927 | 0.82     | 0.8149   | 0.1292 | 0.0514 |
| No log        | 29.0  | 203  | 0.8428          | 0.8      | 0.2805     | 1.3065 | 0.8000   | 0.7820   | 0.1368 | 0.0502 |
| No log        | 30.0  | 210  | 0.8696          | 0.81     | 0.2858     | 1.2825 | 0.81     | 0.7989   | 0.1454 | 0.0524 |
| No log        | 31.0  | 217  | 0.8542          | 0.8      | 0.2861     | 1.2029 | 0.8000   | 0.7766   | 0.1412 | 0.0496 |
| No log        | 32.0  | 224  | 0.8576          | 0.805    | 0.2896     | 1.3371 | 0.805    | 0.7814   | 0.1513 | 0.0515 |
| No log        | 33.0  | 231  | 0.8615          | 0.8      | 0.2859     | 1.2347 | 0.8000   | 0.7826   | 0.1473 | 0.0522 |
| No log        | 34.0  | 238  | 0.8474          | 0.805    | 0.2807     | 1.3510 | 0.805    | 0.7946   | 0.1493 | 0.0524 |
| No log        | 35.0  | 245  | 0.9058          | 0.79     | 0.3035     | 1.2005 | 0.79     | 0.7768   | 0.1497 | 0.0553 |
| No log        | 36.0  | 252  | 0.8461          | 0.805    | 0.2897     | 1.2770 | 0.805    | 0.7906   | 0.1599 | 0.0513 |
| No log        | 37.0  | 259  | 0.8461          | 0.805    | 0.2962     | 1.1989 | 0.805    | 0.7912   | 0.1527 | 0.0533 |
| No log        | 38.0  | 266  | 0.8646          | 0.815    | 0.2817     | 1.3653 | 0.815    | 0.8031   | 0.1355 | 0.0499 |
| No log        | 39.0  | 273  | 0.8306          | 0.8      | 0.2905     | 1.1852 | 0.8000   | 0.7862   | 0.1528 | 0.0549 |
| No log        | 40.0  | 280  | 0.8561          | 0.815    | 0.2838     | 1.2577 | 0.815    | 0.8005   | 0.1431 | 0.0544 |
| No log        | 41.0  | 287  | 0.8236          | 0.805    | 0.2836     | 1.2093 | 0.805    | 0.7925   | 0.1376 | 0.0490 |
| No log        | 42.0  | 294  | 0.8221          | 0.805    | 0.2853     | 1.1929 | 0.805    | 0.7805   | 0.1397 | 0.0524 |
| No log        | 43.0  | 301  | 0.7834          | 0.815    | 0.2666     | 1.2720 | 0.815    | 0.8006   | 0.1316 | 0.0496 |
| No log        | 44.0  | 308  | 0.8022          | 0.8      | 0.2839     | 1.2009 | 0.8000   | 0.7870   | 0.1457 | 0.0514 |
| No log        | 45.0  | 315  | 0.8009          | 0.81     | 0.2735     | 1.3505 | 0.81     | 0.7970   | 0.1359 | 0.0494 |
| No log        | 46.0  | 322  | 0.8029          | 0.81     | 0.2775     | 1.1956 | 0.81     | 0.7983   | 0.1476 | 0.0509 |
| No log        | 47.0  | 329  | 0.7979          | 0.82     | 0.2818     | 1.2005 | 0.82     | 0.8049   | 0.1466 | 0.0488 |
| No log        | 48.0  | 336  | 0.7763          | 0.815    | 0.2784     | 1.1905 | 0.815    | 0.7970   | 0.1358 | 0.0512 |
| No log        | 49.0  | 343  | 0.7917          | 0.81     | 0.2802     | 1.2136 | 0.81     | 0.7989   | 0.1429 | 0.0486 |
| No log        | 50.0  | 350  | 0.8223          | 0.825    | 0.2809     | 1.1860 | 0.825    | 0.8042   | 0.1567 | 0.0520 |
| No log        | 51.0  | 357  | 0.7952          | 0.82     | 0.2747     | 1.2074 | 0.82     | 0.8078   | 0.1377 | 0.0484 |
| No log        | 52.0  | 364  | 0.7868          | 0.825    | 0.2714     | 1.2850 | 0.825    | 0.8170   | 0.1371 | 0.0476 |
| No log        | 53.0  | 371  | 0.8111          | 0.805    | 0.2869     | 1.1892 | 0.805    | 0.7954   | 0.1467 | 0.0524 |
| No log        | 54.0  | 378  | 0.7739          | 0.81     | 0.2755     | 1.1946 | 0.81     | 0.7953   | 0.1567 | 0.0486 |
| No log        | 55.0  | 385  | 0.7930          | 0.825    | 0.2825     | 1.2000 | 0.825    | 0.8087   | 0.1546 | 0.0518 |
| No log        | 56.0  | 392  | 0.7826          | 0.815    | 0.2789     | 1.1953 | 0.815    | 0.8031   | 0.1353 | 0.0514 |
| No log        | 57.0  | 399  | 0.7716          | 0.82     | 0.2714     | 1.3115 | 0.82     | 0.8079   | 0.1207 | 0.0470 |
| No log        | 58.0  | 406  | 0.8036          | 0.815    | 0.2878     | 1.1875 | 0.815    | 0.7945   | 0.1469 | 0.0531 |
| No log        | 59.0  | 413  | 0.7714          | 0.82     | 0.2722     | 1.2787 | 0.82     | 0.8128   | 0.1264 | 0.0467 |
| No log        | 60.0  | 420  | 0.7671          | 0.825    | 0.2720     | 1.2722 | 0.825    | 0.8136   | 0.1378 | 0.0476 |
| No log        | 61.0  | 427  | 0.7885          | 0.815    | 0.2834     | 1.1798 | 0.815    | 0.8007   | 0.1480 | 0.0526 |
| No log        | 62.0  | 434  | 0.7621          | 0.82     | 0.2706     | 1.3459 | 0.82     | 0.8102   | 0.1156 | 0.0482 |
| No log        | 63.0  | 441  | 0.7691          | 0.81     | 0.2797     | 1.1379 | 0.81     | 0.7959   | 0.1429 | 0.0506 |
| No log        | 64.0  | 448  | 0.7699          | 0.81     | 0.2776     | 1.1964 | 0.81     | 0.7974   | 0.1473 | 0.0494 |
| No log        | 65.0  | 455  | 0.7693          | 0.82     | 0.2739     | 1.2089 | 0.82     | 0.8106   | 0.1390 | 0.0481 |
| No log        | 66.0  | 462  | 0.7891          | 0.81     | 0.2805     | 1.1989 | 0.81     | 0.7927   | 0.1530 | 0.0513 |
| No log        | 67.0  | 469  | 0.7806          | 0.82     | 0.2798     | 1.2033 | 0.82     | 0.8068   | 0.1408 | 0.0485 |
| No log        | 68.0  | 476  | 0.7877          | 0.82     | 0.2815     | 1.1896 | 0.82     | 0.8054   | 0.1376 | 0.0501 |
| No log        | 69.0  | 483  | 0.7649          | 0.825    | 0.2731     | 1.1567 | 0.825    | 0.8155   | 0.1371 | 0.0479 |
| No log        | 70.0  | 490  | 0.7740          | 0.82     | 0.2764     | 1.1929 | 0.82     | 0.8107   | 0.1250 | 0.0511 |
| No log        | 71.0  | 497  | 0.7657          | 0.82     | 0.2744     | 1.2762 | 0.82     | 0.8068   | 0.1374 | 0.0488 |
| 0.4804        | 72.0  | 504  | 0.7887          | 0.805    | 0.2839     | 1.1851 | 0.805    | 0.7914   | 0.1524 | 0.0513 |
| 0.4804        | 73.0  | 511  | 0.7662          | 0.815    | 0.2759     | 1.1973 | 0.815    | 0.8010   | 0.1395 | 0.0496 |
| 0.4804        | 74.0  | 518  | 0.7706          | 0.825    | 0.2742     | 1.2020 | 0.825    | 0.8196   | 0.1398 | 0.0492 |
| 0.4804        | 75.0  | 525  | 0.7780          | 0.815    | 0.2802     | 1.1881 | 0.815    | 0.7970   | 0.1392 | 0.0505 |
| 0.4804        | 76.0  | 532  | 0.7731          | 0.825    | 0.2745     | 1.2695 | 0.825    | 0.8152   | 0.1548 | 0.0485 |
| 0.4804        | 77.0  | 539  | 0.7743          | 0.825    | 0.2762     | 1.2039 | 0.825    | 0.8109   | 0.1326 | 0.0490 |
| 0.4804        | 78.0  | 546  | 0.7782          | 0.805    | 0.2792     | 1.2001 | 0.805    | 0.7905   | 0.1381 | 0.0506 |
| 0.4804        | 79.0  | 553  | 0.7786          | 0.81     | 0.2807     | 1.1929 | 0.81     | 0.7980   | 0.1394 | 0.0505 |
| 0.4804        | 80.0  | 560  | 0.7759          | 0.82     | 0.2772     | 1.1973 | 0.82     | 0.8081   | 0.1296 | 0.0494 |
| 0.4804        | 81.0  | 567  | 0.7703          | 0.82     | 0.2758     | 1.2069 | 0.82     | 0.8096   | 0.1405 | 0.0491 |
| 0.4804        | 82.0  | 574  | 0.7749          | 0.81     | 0.2777     | 1.1996 | 0.81     | 0.7980   | 0.1502 | 0.0501 |
| 0.4804        | 83.0  | 581  | 0.7768          | 0.815    | 0.2777     | 1.2009 | 0.815    | 0.8052   | 0.1237 | 0.0496 |
| 0.4804        | 84.0  | 588  | 0.7761          | 0.815    | 0.2778     | 1.1986 | 0.815    | 0.8008   | 0.1333 | 0.0495 |
| 0.4804        | 85.0  | 595  | 0.7771          | 0.815    | 0.2780     | 1.1984 | 0.815    | 0.8008   | 0.1335 | 0.0497 |
| 0.4804        | 86.0  | 602  | 0.7755          | 0.81     | 0.2777     | 1.1987 | 0.81     | 0.7980   | 0.1327 | 0.0501 |
| 0.4804        | 87.0  | 609  | 0.7749          | 0.81     | 0.2776     | 1.1974 | 0.81     | 0.7980   | 0.1261 | 0.0499 |
| 0.4804        | 88.0  | 616  | 0.7746          | 0.815    | 0.2776     | 1.1981 | 0.815    | 0.8052   | 0.1238 | 0.0497 |
| 0.4804        | 89.0  | 623  | 0.7744          | 0.81     | 0.2776     | 1.1981 | 0.81     | 0.7980   | 0.1283 | 0.0500 |
| 0.4804        | 90.0  | 630  | 0.7743          | 0.81     | 0.2774     | 1.1987 | 0.81     | 0.7980   | 0.1346 | 0.0499 |
| 0.4804        | 91.0  | 637  | 0.7741          | 0.81     | 0.2774     | 1.1981 | 0.81     | 0.7980   | 0.1379 | 0.0499 |
| 0.4804        | 92.0  | 644  | 0.7742          | 0.81     | 0.2774     | 1.1982 | 0.81     | 0.7980   | 0.1403 | 0.0499 |
| 0.4804        | 93.0  | 651  | 0.7745          | 0.81     | 0.2775     | 1.1982 | 0.81     | 0.7980   | 0.1403 | 0.0500 |
| 0.4804        | 94.0  | 658  | 0.7746          | 0.81     | 0.2776     | 1.1978 | 0.81     | 0.7980   | 0.1316 | 0.0500 |
| 0.4804        | 95.0  | 665  | 0.7745          | 0.81     | 0.2775     | 1.1982 | 0.81     | 0.7980   | 0.1380 | 0.0499 |
| 0.4804        | 96.0  | 672  | 0.7746          | 0.81     | 0.2775     | 1.1981 | 0.81     | 0.7980   | 0.1315 | 0.0500 |
| 0.4804        | 97.0  | 679  | 0.7746          | 0.81     | 0.2775     | 1.1981 | 0.81     | 0.7980   | 0.1403 | 0.0500 |
| 0.4804        | 98.0  | 686  | 0.7746          | 0.81     | 0.2775     | 1.1981 | 0.81     | 0.7980   | 0.1403 | 0.0500 |
| 0.4804        | 99.0  | 693  | 0.7746          | 0.81     | 0.2775     | 1.1981 | 0.81     | 0.7980   | 0.1403 | 0.0500 |
| 0.4804        | 100.0 | 700  | 0.7746          | 0.81     | 0.2775     | 1.1981 | 0.81     | 0.7980   | 0.1403 | 0.0500 |


### 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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