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# vit-small_tobacco3482_kd_CEKD_t1.5_a0.7

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: 0.4797
- Accuracy: 0.835
- Brier Loss: 0.2522
- Nll: 0.8627
- F1 Micro: 0.835
- F1 Macro: 0.8222
- Ece: 0.1830
- Aurc: 0.0434

## 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    | 1.9341          | 0.215    | 0.8749     | 5.3238 | 0.2150   | 0.1264   | 0.2642 | 0.6914 |
| No log        | 2.0   | 14   | 1.5320          | 0.405    | 0.7410     | 3.5078 | 0.405    | 0.2276   | 0.2957 | 0.4015 |
| No log        | 3.0   | 21   | 1.0532          | 0.635    | 0.5629     | 2.0153 | 0.635    | 0.5844   | 0.3037 | 0.2006 |
| No log        | 4.0   | 28   | 0.7915          | 0.715    | 0.4093     | 1.6974 | 0.715    | 0.6762   | 0.2420 | 0.1131 |
| No log        | 5.0   | 35   | 0.8024          | 0.745    | 0.3869     | 1.7109 | 0.745    | 0.7548   | 0.2160 | 0.1006 |
| No log        | 6.0   | 42   | 0.7162          | 0.765    | 0.3351     | 1.8105 | 0.765    | 0.7599   | 0.2216 | 0.0874 |
| No log        | 7.0   | 49   | 0.6966          | 0.785    | 0.3304     | 1.5292 | 0.785    | 0.7682   | 0.2058 | 0.0979 |
| No log        | 8.0   | 56   | 0.6317          | 0.805    | 0.2995     | 1.3486 | 0.805    | 0.7887   | 0.2266 | 0.0721 |
| No log        | 9.0   | 63   | 0.6903          | 0.805    | 0.3304     | 1.5866 | 0.805    | 0.7971   | 0.2371 | 0.0995 |
| No log        | 10.0  | 70   | 0.6223          | 0.805    | 0.2940     | 1.3478 | 0.805    | 0.8114   | 0.2281 | 0.0697 |
| No log        | 11.0  | 77   | 0.6350          | 0.795    | 0.3145     | 1.3386 | 0.795    | 0.7730   | 0.2063 | 0.0962 |
| No log        | 12.0  | 84   | 0.5570          | 0.835    | 0.2666     | 1.2662 | 0.835    | 0.8181   | 0.1951 | 0.0553 |
| No log        | 13.0  | 91   | 0.5610          | 0.81     | 0.2858     | 1.2619 | 0.81     | 0.8002   | 0.1884 | 0.0626 |
| No log        | 14.0  | 98   | 0.5843          | 0.8      | 0.2961     | 1.0782 | 0.8000   | 0.8083   | 0.1993 | 0.0683 |
| No log        | 15.0  | 105  | 0.5918          | 0.78     | 0.2965     | 1.1207 | 0.78     | 0.7861   | 0.1895 | 0.0634 |
| No log        | 16.0  | 112  | 0.5541          | 0.84     | 0.2765     | 1.3189 | 0.8400   | 0.8455   | 0.1969 | 0.0597 |
| No log        | 17.0  | 119  | 0.5037          | 0.835    | 0.2568     | 0.9024 | 0.835    | 0.8248   | 0.2083 | 0.0499 |
| No log        | 18.0  | 126  | 0.5050          | 0.85     | 0.2563     | 1.0032 | 0.85     | 0.8441   | 0.2147 | 0.0580 |
| No log        | 19.0  | 133  | 0.5430          | 0.815    | 0.2779     | 1.1046 | 0.815    | 0.8044   | 0.1906 | 0.0562 |
| No log        | 20.0  | 140  | 0.5276          | 0.84     | 0.2743     | 0.9964 | 0.8400   | 0.8144   | 0.2104 | 0.0597 |
| No log        | 21.0  | 147  | 0.5155          | 0.835    | 0.2686     | 0.9556 | 0.835    | 0.8210   | 0.1962 | 0.0572 |
| No log        | 22.0  | 154  | 0.4937          | 0.835    | 0.2581     | 1.0079 | 0.835    | 0.8172   | 0.1975 | 0.0479 |
| No log        | 23.0  | 161  | 0.4931          | 0.845    | 0.2533     | 1.0021 | 0.845    | 0.8270   | 0.1884 | 0.0503 |
| No log        | 24.0  | 168  | 0.4869          | 0.83     | 0.2554     | 0.9660 | 0.83     | 0.8084   | 0.1945 | 0.0481 |
| No log        | 25.0  | 175  | 0.4843          | 0.845    | 0.2512     | 0.9979 | 0.845    | 0.8316   | 0.1746 | 0.0466 |
| No log        | 26.0  | 182  | 0.4866          | 0.835    | 0.2531     | 0.9006 | 0.835    | 0.8188   | 0.1833 | 0.0472 |
| No log        | 27.0  | 189  | 0.4882          | 0.825    | 0.2562     | 0.8929 | 0.825    | 0.8043   | 0.2023 | 0.0469 |
| No log        | 28.0  | 196  | 0.4814          | 0.82     | 0.2494     | 0.9122 | 0.82     | 0.8060   | 0.1773 | 0.0451 |
| No log        | 29.0  | 203  | 0.4749          | 0.835    | 0.2501     | 0.8770 | 0.835    | 0.8252   | 0.1688 | 0.0442 |
| No log        | 30.0  | 210  | 0.4761          | 0.84     | 0.2490     | 0.8848 | 0.8400   | 0.8250   | 0.2068 | 0.0443 |
| No log        | 31.0  | 217  | 0.4787          | 0.845    | 0.2508     | 0.8754 | 0.845    | 0.8309   | 0.1635 | 0.0438 |
| No log        | 32.0  | 224  | 0.4791          | 0.835    | 0.2521     | 0.8711 | 0.835    | 0.8224   | 0.1876 | 0.0446 |
| No log        | 33.0  | 231  | 0.4779          | 0.84     | 0.2509     | 0.8650 | 0.8400   | 0.8252   | 0.1813 | 0.0436 |
| No log        | 34.0  | 238  | 0.4774          | 0.84     | 0.2513     | 0.8662 | 0.8400   | 0.8252   | 0.1919 | 0.0441 |
| No log        | 35.0  | 245  | 0.4760          | 0.835    | 0.2502     | 0.8636 | 0.835    | 0.8224   | 0.1840 | 0.0434 |
| No log        | 36.0  | 252  | 0.4784          | 0.84     | 0.2509     | 0.8688 | 0.8400   | 0.8281   | 0.1691 | 0.0437 |
| No log        | 37.0  | 259  | 0.4771          | 0.835    | 0.2507     | 0.8670 | 0.835    | 0.8224   | 0.1936 | 0.0440 |
| No log        | 38.0  | 266  | 0.4764          | 0.835    | 0.2499     | 0.8614 | 0.835    | 0.8224   | 0.1830 | 0.0434 |
| No log        | 39.0  | 273  | 0.4769          | 0.835    | 0.2503     | 0.8651 | 0.835    | 0.8224   | 0.2001 | 0.0438 |
| No log        | 40.0  | 280  | 0.4777          | 0.84     | 0.2514     | 0.8608 | 0.8400   | 0.8281   | 0.1832 | 0.0435 |
| No log        | 41.0  | 287  | 0.4777          | 0.835    | 0.2504     | 0.8650 | 0.835    | 0.8224   | 0.1953 | 0.0437 |
| No log        | 42.0  | 294  | 0.4779          | 0.835    | 0.2511     | 0.8629 | 0.835    | 0.8224   | 0.1944 | 0.0440 |
| No log        | 43.0  | 301  | 0.4790          | 0.835    | 0.2519     | 0.8631 | 0.835    | 0.8222   | 0.1808 | 0.0439 |
| No log        | 44.0  | 308  | 0.4777          | 0.835    | 0.2509     | 0.8604 | 0.835    | 0.8222   | 0.1886 | 0.0435 |
| No log        | 45.0  | 315  | 0.4787          | 0.835    | 0.2517     | 0.8620 | 0.835    | 0.8222   | 0.1940 | 0.0437 |
| No log        | 46.0  | 322  | 0.4774          | 0.84     | 0.2509     | 0.8614 | 0.8400   | 0.8281   | 0.1779 | 0.0433 |
| No log        | 47.0  | 329  | 0.4785          | 0.835    | 0.2517     | 0.8609 | 0.835    | 0.8222   | 0.1811 | 0.0438 |
| No log        | 48.0  | 336  | 0.4792          | 0.835    | 0.2521     | 0.8611 | 0.835    | 0.8222   | 0.1849 | 0.0436 |
| No log        | 49.0  | 343  | 0.4771          | 0.84     | 0.2509     | 0.8623 | 0.8400   | 0.8281   | 0.1908 | 0.0430 |
| No log        | 50.0  | 350  | 0.4793          | 0.835    | 0.2520     | 0.8633 | 0.835    | 0.8222   | 0.1900 | 0.0435 |
| No log        | 51.0  | 357  | 0.4786          | 0.83     | 0.2517     | 0.8654 | 0.83     | 0.8159   | 0.1684 | 0.0437 |
| No log        | 52.0  | 364  | 0.4792          | 0.83     | 0.2521     | 0.8625 | 0.83     | 0.8166   | 0.1915 | 0.0430 |
| No log        | 53.0  | 371  | 0.4785          | 0.835    | 0.2513     | 0.8652 | 0.835    | 0.8222   | 0.1853 | 0.0434 |
| No log        | 54.0  | 378  | 0.4798          | 0.835    | 0.2523     | 0.8652 | 0.835    | 0.8222   | 0.1767 | 0.0437 |
| No log        | 55.0  | 385  | 0.4791          | 0.835    | 0.2519     | 0.8637 | 0.835    | 0.8222   | 0.1891 | 0.0435 |
| No log        | 56.0  | 392  | 0.4790          | 0.835    | 0.2519     | 0.8614 | 0.835    | 0.8222   | 0.1749 | 0.0429 |
| No log        | 57.0  | 399  | 0.4782          | 0.835    | 0.2513     | 0.8625 | 0.835    | 0.8222   | 0.1909 | 0.0433 |
| No log        | 58.0  | 406  | 0.4794          | 0.835    | 0.2521     | 0.8602 | 0.835    | 0.8222   | 0.1758 | 0.0435 |
| No log        | 59.0  | 413  | 0.4790          | 0.835    | 0.2517     | 0.8617 | 0.835    | 0.8222   | 0.1754 | 0.0432 |
| No log        | 60.0  | 420  | 0.4791          | 0.835    | 0.2520     | 0.8614 | 0.835    | 0.8222   | 0.1830 | 0.0430 |
| No log        | 61.0  | 427  | 0.4789          | 0.835    | 0.2518     | 0.8612 | 0.835    | 0.8222   | 0.1870 | 0.0432 |
| No log        | 62.0  | 434  | 0.4792          | 0.835    | 0.2520     | 0.8620 | 0.835    | 0.8222   | 0.1902 | 0.0433 |
| No log        | 63.0  | 441  | 0.4789          | 0.835    | 0.2518     | 0.8619 | 0.835    | 0.8222   | 0.1997 | 0.0431 |
| No log        | 64.0  | 448  | 0.4797          | 0.835    | 0.2523     | 0.8607 | 0.835    | 0.8222   | 0.1833 | 0.0434 |
| No log        | 65.0  | 455  | 0.4797          | 0.835    | 0.2522     | 0.8624 | 0.835    | 0.8222   | 0.1922 | 0.0434 |
| No log        | 66.0  | 462  | 0.4791          | 0.835    | 0.2519     | 0.8620 | 0.835    | 0.8222   | 0.1894 | 0.0430 |
| No log        | 67.0  | 469  | 0.4792          | 0.835    | 0.2520     | 0.8612 | 0.835    | 0.8222   | 0.1885 | 0.0433 |
| No log        | 68.0  | 476  | 0.4796          | 0.835    | 0.2522     | 0.8627 | 0.835    | 0.8222   | 0.1918 | 0.0433 |
| No log        | 69.0  | 483  | 0.4793          | 0.835    | 0.2521     | 0.8628 | 0.835    | 0.8222   | 0.1828 | 0.0433 |
| No log        | 70.0  | 490  | 0.4792          | 0.835    | 0.2519     | 0.8622 | 0.835    | 0.8222   | 0.1918 | 0.0432 |
| No log        | 71.0  | 497  | 0.4797          | 0.835    | 0.2523     | 0.8615 | 0.835    | 0.8222   | 0.1836 | 0.0434 |
| 0.194         | 72.0  | 504  | 0.4797          | 0.835    | 0.2522     | 0.8618 | 0.835    | 0.8222   | 0.1842 | 0.0433 |
| 0.194         | 73.0  | 511  | 0.4794          | 0.835    | 0.2521     | 0.8624 | 0.835    | 0.8222   | 0.1914 | 0.0432 |
| 0.194         | 74.0  | 518  | 0.4794          | 0.835    | 0.2521     | 0.8617 | 0.835    | 0.8222   | 0.1915 | 0.0431 |
| 0.194         | 75.0  | 525  | 0.4796          | 0.835    | 0.2522     | 0.8623 | 0.835    | 0.8222   | 0.1917 | 0.0434 |
| 0.194         | 76.0  | 532  | 0.4795          | 0.835    | 0.2520     | 0.8622 | 0.835    | 0.8222   | 0.1985 | 0.0433 |
| 0.194         | 77.0  | 539  | 0.4795          | 0.835    | 0.2520     | 0.8623 | 0.835    | 0.8222   | 0.1985 | 0.0432 |
| 0.194         | 78.0  | 546  | 0.4795          | 0.835    | 0.2522     | 0.8621 | 0.835    | 0.8222   | 0.1981 | 0.0432 |
| 0.194         | 79.0  | 553  | 0.4798          | 0.835    | 0.2522     | 0.8626 | 0.835    | 0.8222   | 0.1909 | 0.0433 |
| 0.194         | 80.0  | 560  | 0.4796          | 0.835    | 0.2521     | 0.8630 | 0.835    | 0.8222   | 0.1984 | 0.0433 |
| 0.194         | 81.0  | 567  | 0.4797          | 0.835    | 0.2522     | 0.8619 | 0.835    | 0.8222   | 0.1902 | 0.0434 |
| 0.194         | 82.0  | 574  | 0.4797          | 0.835    | 0.2522     | 0.8631 | 0.835    | 0.8222   | 0.1913 | 0.0433 |
| 0.194         | 83.0  | 581  | 0.4797          | 0.835    | 0.2522     | 0.8627 | 0.835    | 0.8222   | 0.1909 | 0.0433 |
| 0.194         | 84.0  | 588  | 0.4797          | 0.835    | 0.2522     | 0.8623 | 0.835    | 0.8222   | 0.1909 | 0.0433 |
| 0.194         | 85.0  | 595  | 0.4797          | 0.835    | 0.2522     | 0.8624 | 0.835    | 0.8222   | 0.1909 | 0.0434 |
| 0.194         | 86.0  | 602  | 0.4796          | 0.835    | 0.2522     | 0.8623 | 0.835    | 0.8222   | 0.1830 | 0.0433 |
| 0.194         | 87.0  | 609  | 0.4797          | 0.835    | 0.2522     | 0.8629 | 0.835    | 0.8222   | 0.1909 | 0.0434 |
| 0.194         | 88.0  | 616  | 0.4797          | 0.835    | 0.2521     | 0.8634 | 0.835    | 0.8222   | 0.1830 | 0.0433 |
| 0.194         | 89.0  | 623  | 0.4797          | 0.835    | 0.2522     | 0.8627 | 0.835    | 0.8222   | 0.1910 | 0.0434 |
| 0.194         | 90.0  | 630  | 0.4798          | 0.835    | 0.2523     | 0.8627 | 0.835    | 0.8222   | 0.1909 | 0.0434 |
| 0.194         | 91.0  | 637  | 0.4797          | 0.835    | 0.2522     | 0.8625 | 0.835    | 0.8222   | 0.1909 | 0.0434 |
| 0.194         | 92.0  | 644  | 0.4797          | 0.835    | 0.2522     | 0.8630 | 0.835    | 0.8222   | 0.1830 | 0.0434 |
| 0.194         | 93.0  | 651  | 0.4798          | 0.835    | 0.2522     | 0.8629 | 0.835    | 0.8222   | 0.1910 | 0.0434 |
| 0.194         | 94.0  | 658  | 0.4797          | 0.835    | 0.2522     | 0.8628 | 0.835    | 0.8222   | 0.1910 | 0.0434 |
| 0.194         | 95.0  | 665  | 0.4797          | 0.835    | 0.2522     | 0.8627 | 0.835    | 0.8222   | 0.1910 | 0.0434 |
| 0.194         | 96.0  | 672  | 0.4798          | 0.835    | 0.2522     | 0.8627 | 0.835    | 0.8222   | 0.1834 | 0.0435 |
| 0.194         | 97.0  | 679  | 0.4797          | 0.835    | 0.2522     | 0.8628 | 0.835    | 0.8222   | 0.1830 | 0.0434 |
| 0.194         | 98.0  | 686  | 0.4797          | 0.835    | 0.2522     | 0.8628 | 0.835    | 0.8222   | 0.1830 | 0.0434 |
| 0.194         | 99.0  | 693  | 0.4797          | 0.835    | 0.2522     | 0.8628 | 0.835    | 0.8222   | 0.1830 | 0.0434 |
| 0.194         | 100.0 | 700  | 0.4797          | 0.835    | 0.2522     | 0.8627 | 0.835    | 0.8222   | 0.1830 | 0.0434 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2

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