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# vit-small_tobacco3482_kd_CEKD_t5.0_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: 0.4918
- Accuracy: 0.85
- Brier Loss: 0.2583
- Nll: 1.0894
- F1 Micro: 0.85
- F1 Macro: 0.8374
- Ece: 0.1917
- Aurc: 0.0470

## 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    | 1.8329          | 0.225    | 0.8761     | 5.2731 | 0.225    | 0.1384   | 0.2607 | 0.6977 |
| No log        | 2.0   | 14   | 1.4785          | 0.405    | 0.7460     | 3.4067 | 0.405    | 0.2289   | 0.3097 | 0.4085 |
| No log        | 3.0   | 21   | 1.0406          | 0.6      | 0.5725     | 1.8722 | 0.6      | 0.5345   | 0.3050 | 0.2010 |
| No log        | 4.0   | 28   | 0.8087          | 0.725    | 0.4192     | 1.6096 | 0.7250   | 0.6767   | 0.2345 | 0.1149 |
| No log        | 5.0   | 35   | 0.7666          | 0.735    | 0.3731     | 1.6189 | 0.735    | 0.7350   | 0.2377 | 0.1011 |
| No log        | 6.0   | 42   | 0.6960          | 0.78     | 0.3413     | 1.5230 | 0.78     | 0.7592   | 0.2295 | 0.0868 |
| No log        | 7.0   | 49   | 0.6490          | 0.805    | 0.3110     | 1.4861 | 0.805    | 0.7864   | 0.2138 | 0.0785 |
| No log        | 8.0   | 56   | 0.6238          | 0.795    | 0.3069     | 1.2098 | 0.795    | 0.7816   | 0.2065 | 0.0698 |
| No log        | 9.0   | 63   | 0.5755          | 0.83     | 0.2866     | 1.1943 | 0.83     | 0.8117   | 0.1937 | 0.0694 |
| No log        | 10.0  | 70   | 0.6360          | 0.77     | 0.3164     | 1.2608 | 0.7700   | 0.7550   | 0.1785 | 0.0677 |
| No log        | 11.0  | 77   | 0.6548          | 0.785    | 0.3335     | 1.4895 | 0.785    | 0.7707   | 0.2281 | 0.0885 |
| No log        | 12.0  | 84   | 0.5847          | 0.805    | 0.3002     | 1.4317 | 0.805    | 0.7807   | 0.2264 | 0.0756 |
| No log        | 13.0  | 91   | 0.5956          | 0.81     | 0.3040     | 1.2590 | 0.81     | 0.7928   | 0.2241 | 0.0556 |
| No log        | 14.0  | 98   | 0.5692          | 0.81     | 0.3025     | 1.2119 | 0.81     | 0.8043   | 0.2235 | 0.0665 |
| No log        | 15.0  | 105  | 0.5223          | 0.83     | 0.2762     | 1.1162 | 0.83     | 0.8221   | 0.1798 | 0.0552 |
| No log        | 16.0  | 112  | 0.4981          | 0.84     | 0.2523     | 1.0864 | 0.8400   | 0.8372   | 0.1868 | 0.0396 |
| No log        | 17.0  | 119  | 0.5207          | 0.805    | 0.2741     | 1.0416 | 0.805    | 0.7897   | 0.1960 | 0.0551 |
| No log        | 18.0  | 126  | 0.5165          | 0.84     | 0.2723     | 1.1596 | 0.8400   | 0.8325   | 0.1942 | 0.0506 |
| No log        | 19.0  | 133  | 0.4979          | 0.845    | 0.2573     | 1.2329 | 0.845    | 0.8297   | 0.1825 | 0.0444 |
| No log        | 20.0  | 140  | 0.4953          | 0.855    | 0.2565     | 1.1213 | 0.855    | 0.8442   | 0.1844 | 0.0474 |
| No log        | 21.0  | 147  | 0.5296          | 0.82     | 0.2792     | 1.0000 | 0.82     | 0.8218   | 0.1768 | 0.0523 |
| No log        | 22.0  | 154  | 0.5027          | 0.835    | 0.2625     | 0.9926 | 0.835    | 0.8238   | 0.2035 | 0.0481 |
| No log        | 23.0  | 161  | 0.5027          | 0.84     | 0.2642     | 1.0500 | 0.8400   | 0.8299   | 0.1616 | 0.0482 |
| No log        | 24.0  | 168  | 0.5017          | 0.84     | 0.2616     | 1.0560 | 0.8400   | 0.8314   | 0.1819 | 0.0497 |
| No log        | 25.0  | 175  | 0.4942          | 0.85     | 0.2594     | 1.1003 | 0.85     | 0.8407   | 0.1793 | 0.0483 |
| No log        | 26.0  | 182  | 0.4943          | 0.83     | 0.2586     | 1.0436 | 0.83     | 0.8140   | 0.1869 | 0.0518 |
| No log        | 27.0  | 189  | 0.4950          | 0.835    | 0.2613     | 1.0817 | 0.835    | 0.8224   | 0.2039 | 0.0504 |
| No log        | 28.0  | 196  | 0.4957          | 0.85     | 0.2599     | 1.1109 | 0.85     | 0.8309   | 0.2058 | 0.0485 |
| No log        | 29.0  | 203  | 0.4956          | 0.845    | 0.2599     | 1.0914 | 0.845    | 0.8304   | 0.1916 | 0.0492 |
| No log        | 30.0  | 210  | 0.4893          | 0.84     | 0.2561     | 1.0890 | 0.8400   | 0.8214   | 0.2071 | 0.0482 |
| No log        | 31.0  | 217  | 0.4920          | 0.835    | 0.2587     | 1.0907 | 0.835    | 0.8270   | 0.2031 | 0.0482 |
| No log        | 32.0  | 224  | 0.4927          | 0.83     | 0.2601     | 1.0879 | 0.83     | 0.8157   | 0.2093 | 0.0500 |
| No log        | 33.0  | 231  | 0.4925          | 0.835    | 0.2593     | 1.0886 | 0.835    | 0.8270   | 0.1810 | 0.0484 |
| No log        | 34.0  | 238  | 0.4909          | 0.845    | 0.2578     | 1.0871 | 0.845    | 0.8304   | 0.1916 | 0.0478 |
| No log        | 35.0  | 245  | 0.4927          | 0.845    | 0.2591     | 1.0866 | 0.845    | 0.8378   | 0.1943 | 0.0473 |
| No log        | 36.0  | 252  | 0.4919          | 0.85     | 0.2581     | 1.0891 | 0.85     | 0.8342   | 0.2193 | 0.0475 |
| No log        | 37.0  | 259  | 0.4908          | 0.845    | 0.2579     | 1.0867 | 0.845    | 0.8346   | 0.2215 | 0.0474 |
| No log        | 38.0  | 266  | 0.4929          | 0.85     | 0.2590     | 1.0873 | 0.85     | 0.8407   | 0.1884 | 0.0471 |
| No log        | 39.0  | 273  | 0.4913          | 0.85     | 0.2584     | 1.0861 | 0.85     | 0.8374   | 0.1944 | 0.0474 |
| No log        | 40.0  | 280  | 0.4933          | 0.835    | 0.2595     | 1.0871 | 0.835    | 0.8248   | 0.1893 | 0.0491 |
| No log        | 41.0  | 287  | 0.4936          | 0.84     | 0.2599     | 1.0863 | 0.8400   | 0.8276   | 0.1860 | 0.0486 |
| No log        | 42.0  | 294  | 0.4911          | 0.85     | 0.2580     | 1.0861 | 0.85     | 0.8374   | 0.2186 | 0.0474 |
| No log        | 43.0  | 301  | 0.4915          | 0.85     | 0.2581     | 1.0860 | 0.85     | 0.8374   | 0.2023 | 0.0475 |
| No log        | 44.0  | 308  | 0.4921          | 0.85     | 0.2586     | 1.0874 | 0.85     | 0.8374   | 0.2013 | 0.0477 |
| No log        | 45.0  | 315  | 0.4915          | 0.85     | 0.2583     | 1.0862 | 0.85     | 0.8374   | 0.1941 | 0.0475 |
| No log        | 46.0  | 322  | 0.4918          | 0.85     | 0.2584     | 1.0878 | 0.85     | 0.8374   | 0.1852 | 0.0473 |
| No log        | 47.0  | 329  | 0.4916          | 0.85     | 0.2583     | 1.0873 | 0.85     | 0.8374   | 0.2089 | 0.0473 |
| No log        | 48.0  | 336  | 0.4921          | 0.85     | 0.2586     | 1.0879 | 0.85     | 0.8374   | 0.2026 | 0.0477 |
| No log        | 49.0  | 343  | 0.4918          | 0.845    | 0.2584     | 1.0884 | 0.845    | 0.8282   | 0.1963 | 0.0478 |
| No log        | 50.0  | 350  | 0.4922          | 0.85     | 0.2587     | 1.0871 | 0.85     | 0.8374   | 0.2102 | 0.0474 |
| No log        | 51.0  | 357  | 0.4920          | 0.85     | 0.2585     | 1.0879 | 0.85     | 0.8374   | 0.2095 | 0.0474 |
| No log        | 52.0  | 364  | 0.4926          | 0.85     | 0.2589     | 1.0878 | 0.85     | 0.8374   | 0.2022 | 0.0477 |
| No log        | 53.0  | 371  | 0.4920          | 0.85     | 0.2586     | 1.0888 | 0.85     | 0.8374   | 0.2027 | 0.0475 |
| No log        | 54.0  | 378  | 0.4921          | 0.85     | 0.2586     | 1.0886 | 0.85     | 0.8374   | 0.2020 | 0.0474 |
| No log        | 55.0  | 385  | 0.4921          | 0.85     | 0.2587     | 1.0890 | 0.85     | 0.8374   | 0.1929 | 0.0471 |
| No log        | 56.0  | 392  | 0.4925          | 0.85     | 0.2589     | 1.0881 | 0.85     | 0.8374   | 0.1946 | 0.0473 |
| No log        | 57.0  | 399  | 0.4917          | 0.85     | 0.2583     | 1.0893 | 0.85     | 0.8374   | 0.1932 | 0.0472 |
| No log        | 58.0  | 406  | 0.4921          | 0.85     | 0.2586     | 1.0877 | 0.85     | 0.8374   | 0.1948 | 0.0476 |
| No log        | 59.0  | 413  | 0.4917          | 0.85     | 0.2583     | 1.0883 | 0.85     | 0.8374   | 0.1931 | 0.0472 |
| No log        | 60.0  | 420  | 0.4918          | 0.85     | 0.2583     | 1.0882 | 0.85     | 0.8374   | 0.1945 | 0.0475 |
| No log        | 61.0  | 427  | 0.4916          | 0.85     | 0.2582     | 1.0883 | 0.85     | 0.8374   | 0.1936 | 0.0472 |
| No log        | 62.0  | 434  | 0.4920          | 0.85     | 0.2586     | 1.0882 | 0.85     | 0.8374   | 0.1942 | 0.0473 |
| No log        | 63.0  | 441  | 0.4922          | 0.85     | 0.2587     | 1.0889 | 0.85     | 0.8374   | 0.1935 | 0.0473 |
| No log        | 64.0  | 448  | 0.4921          | 0.85     | 0.2586     | 1.0885 | 0.85     | 0.8374   | 0.1848 | 0.0473 |
| No log        | 65.0  | 455  | 0.4916          | 0.85     | 0.2582     | 1.0887 | 0.85     | 0.8374   | 0.1848 | 0.0474 |
| No log        | 66.0  | 462  | 0.4917          | 0.85     | 0.2583     | 1.0883 | 0.85     | 0.8374   | 0.1849 | 0.0472 |
| No log        | 67.0  | 469  | 0.4917          | 0.85     | 0.2584     | 1.0887 | 0.85     | 0.8374   | 0.1848 | 0.0472 |
| No log        | 68.0  | 476  | 0.4920          | 0.85     | 0.2585     | 1.0888 | 0.85     | 0.8374   | 0.2011 | 0.0471 |
| No log        | 69.0  | 483  | 0.4918          | 0.85     | 0.2584     | 1.0889 | 0.85     | 0.8374   | 0.2007 | 0.0471 |
| No log        | 70.0  | 490  | 0.4919          | 0.85     | 0.2584     | 1.0886 | 0.85     | 0.8374   | 0.1848 | 0.0474 |
| No log        | 71.0  | 497  | 0.4920          | 0.85     | 0.2585     | 1.0888 | 0.85     | 0.8374   | 0.1940 | 0.0474 |
| 0.1824        | 72.0  | 504  | 0.4919          | 0.85     | 0.2584     | 1.0889 | 0.85     | 0.8374   | 0.2011 | 0.0471 |
| 0.1824        | 73.0  | 511  | 0.4917          | 0.85     | 0.2583     | 1.0887 | 0.85     | 0.8374   | 0.1848 | 0.0472 |
| 0.1824        | 74.0  | 518  | 0.4920          | 0.85     | 0.2585     | 1.0890 | 0.85     | 0.8374   | 0.1848 | 0.0472 |
| 0.1824        | 75.0  | 525  | 0.4920          | 0.85     | 0.2585     | 1.0892 | 0.85     | 0.8374   | 0.1846 | 0.0472 |
| 0.1824        | 76.0  | 532  | 0.4918          | 0.85     | 0.2583     | 1.0889 | 0.85     | 0.8374   | 0.1930 | 0.0472 |
| 0.1824        | 77.0  | 539  | 0.4917          | 0.85     | 0.2582     | 1.0891 | 0.85     | 0.8374   | 0.2005 | 0.0472 |
| 0.1824        | 78.0  | 546  | 0.4919          | 0.85     | 0.2584     | 1.0892 | 0.85     | 0.8374   | 0.1928 | 0.0472 |
| 0.1824        | 79.0  | 553  | 0.4920          | 0.85     | 0.2585     | 1.0893 | 0.85     | 0.8374   | 0.1845 | 0.0473 |
| 0.1824        | 80.0  | 560  | 0.4919          | 0.85     | 0.2584     | 1.0890 | 0.85     | 0.8374   | 0.1929 | 0.0473 |
| 0.1824        | 81.0  | 567  | 0.4920          | 0.85     | 0.2585     | 1.0892 | 0.85     | 0.8374   | 0.1925 | 0.0471 |
| 0.1824        | 82.0  | 574  | 0.4920          | 0.85     | 0.2585     | 1.0895 | 0.85     | 0.8374   | 0.1844 | 0.0471 |
| 0.1824        | 83.0  | 581  | 0.4919          | 0.85     | 0.2584     | 1.0892 | 0.85     | 0.8374   | 0.1916 | 0.0471 |
| 0.1824        | 84.0  | 588  | 0.4918          | 0.85     | 0.2584     | 1.0890 | 0.85     | 0.8374   | 0.1926 | 0.0471 |
| 0.1824        | 85.0  | 595  | 0.4918          | 0.85     | 0.2584     | 1.0892 | 0.85     | 0.8374   | 0.1844 | 0.0471 |
| 0.1824        | 86.0  | 602  | 0.4918          | 0.85     | 0.2584     | 1.0893 | 0.85     | 0.8374   | 0.1927 | 0.0472 |
| 0.1824        | 87.0  | 609  | 0.4918          | 0.85     | 0.2584     | 1.0895 | 0.85     | 0.8374   | 0.1844 | 0.0471 |
| 0.1824        | 88.0  | 616  | 0.4918          | 0.85     | 0.2584     | 1.0892 | 0.85     | 0.8374   | 0.1844 | 0.0471 |
| 0.1824        | 89.0  | 623  | 0.4918          | 0.85     | 0.2583     | 1.0895 | 0.85     | 0.8374   | 0.1917 | 0.0471 |
| 0.1824        | 90.0  | 630  | 0.4919          | 0.85     | 0.2584     | 1.0892 | 0.85     | 0.8374   | 0.1998 | 0.0471 |
| 0.1824        | 91.0  | 637  | 0.4919          | 0.85     | 0.2584     | 1.0894 | 0.85     | 0.8374   | 0.1916 | 0.0471 |
| 0.1824        | 92.0  | 644  | 0.4918          | 0.85     | 0.2583     | 1.0895 | 0.85     | 0.8374   | 0.1917 | 0.0470 |
| 0.1824        | 93.0  | 651  | 0.4918          | 0.85     | 0.2583     | 1.0893 | 0.85     | 0.8374   | 0.1917 | 0.0471 |
| 0.1824        | 94.0  | 658  | 0.4918          | 0.85     | 0.2583     | 1.0894 | 0.85     | 0.8374   | 0.1844 | 0.0471 |
| 0.1824        | 95.0  | 665  | 0.4918          | 0.85     | 0.2583     | 1.0894 | 0.85     | 0.8374   | 0.1917 | 0.0470 |
| 0.1824        | 96.0  | 672  | 0.4918          | 0.85     | 0.2583     | 1.0894 | 0.85     | 0.8374   | 0.1917 | 0.0470 |
| 0.1824        | 97.0  | 679  | 0.4918          | 0.85     | 0.2583     | 1.0895 | 0.85     | 0.8374   | 0.1916 | 0.0471 |
| 0.1824        | 98.0  | 686  | 0.4918          | 0.85     | 0.2583     | 1.0895 | 0.85     | 0.8374   | 0.1917 | 0.0470 |
| 0.1824        | 99.0  | 693  | 0.4918          | 0.85     | 0.2583     | 1.0894 | 0.85     | 0.8374   | 0.1917 | 0.0470 |
| 0.1824        | 100.0 | 700  | 0.4918          | 0.85     | 0.2583     | 1.0894 | 0.85     | 0.8374   | 0.1917 | 0.0470 |


### Framework versions

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

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