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# vit-small_tobacco3482_kd_CEKD_t5.0_a0.5

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: 0.3966
- Accuracy: 0.85
- Brier Loss: 0.2593
- Nll: 0.9223
- F1 Micro: 0.85
- F1 Macro: 0.8392
- Ece: 0.1994
- Aurc: 0.0457

## 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    | 1.5608          | 0.225    | 0.8774     | 5.2159 | 0.225    | 0.1397   | 0.2725 | 0.7038 |
| No log        | 2.0   | 14   | 1.2539          | 0.415    | 0.7531     | 3.2673 | 0.415    | 0.2434   | 0.3070 | 0.4078 |
| No log        | 3.0   | 21   | 0.9055          | 0.585    | 0.5971     | 1.9093 | 0.585    | 0.5086   | 0.3232 | 0.2172 |
| No log        | 4.0   | 28   | 0.7122          | 0.72     | 0.4403     | 1.7693 | 0.72     | 0.6805   | 0.3073 | 0.1228 |
| No log        | 5.0   | 35   | 0.6584          | 0.74     | 0.3938     | 1.5810 | 0.74     | 0.7214   | 0.2661 | 0.1075 |
| No log        | 6.0   | 42   | 0.5711          | 0.8      | 0.3462     | 1.4146 | 0.8000   | 0.7524   | 0.2347 | 0.0843 |
| No log        | 7.0   | 49   | 0.5521          | 0.8      | 0.3199     | 1.2631 | 0.8000   | 0.7867   | 0.2542 | 0.0634 |
| No log        | 8.0   | 56   | 0.5603          | 0.77     | 0.3381     | 1.1808 | 0.7700   | 0.7680   | 0.2316 | 0.0858 |
| No log        | 9.0   | 63   | 0.5209          | 0.82     | 0.3062     | 1.2891 | 0.82     | 0.7972   | 0.2405 | 0.0792 |
| No log        | 10.0  | 70   | 0.5705          | 0.78     | 0.3343     | 1.5183 | 0.78     | 0.7743   | 0.2264 | 0.0874 |
| No log        | 11.0  | 77   | 0.5137          | 0.82     | 0.3047     | 1.2987 | 0.82     | 0.8096   | 0.2420 | 0.0592 |
| No log        | 12.0  | 84   | 0.4664          | 0.835    | 0.2929     | 1.1529 | 0.835    | 0.8101   | 0.2291 | 0.0753 |
| No log        | 13.0  | 91   | 0.4772          | 0.82     | 0.2915     | 1.2078 | 0.82     | 0.8029   | 0.2131 | 0.0620 |
| No log        | 14.0  | 98   | 0.4553          | 0.825    | 0.2843     | 1.1312 | 0.825    | 0.8112   | 0.2196 | 0.0453 |
| No log        | 15.0  | 105  | 0.4574          | 0.825    | 0.2821     | 1.1234 | 0.825    | 0.8163   | 0.2241 | 0.0554 |
| No log        | 16.0  | 112  | 0.4873          | 0.8      | 0.3111     | 1.2248 | 0.8000   | 0.8007   | 0.1992 | 0.0657 |
| No log        | 17.0  | 119  | 0.4224          | 0.855    | 0.2620     | 1.1871 | 0.855    | 0.8218   | 0.2337 | 0.0479 |
| No log        | 18.0  | 126  | 0.4414          | 0.825    | 0.2857     | 1.0723 | 0.825    | 0.8227   | 0.2500 | 0.0517 |
| No log        | 19.0  | 133  | 0.4232          | 0.845    | 0.2737     | 0.9360 | 0.845    | 0.8219   | 0.2053 | 0.0543 |
| No log        | 20.0  | 140  | 0.4114          | 0.845    | 0.2637     | 1.0046 | 0.845    | 0.8233   | 0.2144 | 0.0460 |
| No log        | 21.0  | 147  | 0.4110          | 0.835    | 0.2640     | 0.9853 | 0.835    | 0.8160   | 0.2278 | 0.0466 |
| No log        | 22.0  | 154  | 0.4163          | 0.845    | 0.2678     | 1.1494 | 0.845    | 0.8291   | 0.2156 | 0.0458 |
| No log        | 23.0  | 161  | 0.4243          | 0.835    | 0.2779     | 0.9475 | 0.835    | 0.8269   | 0.2420 | 0.0554 |
| No log        | 24.0  | 168  | 0.4079          | 0.835    | 0.2683     | 0.9249 | 0.835    | 0.8044   | 0.2091 | 0.0532 |
| No log        | 25.0  | 175  | 0.4027          | 0.85     | 0.2621     | 0.9433 | 0.85     | 0.8361   | 0.2138 | 0.0530 |
| No log        | 26.0  | 182  | 0.3975          | 0.855    | 0.2590     | 0.9310 | 0.855    | 0.8457   | 0.1932 | 0.0487 |
| No log        | 27.0  | 189  | 0.4032          | 0.85     | 0.2650     | 0.9823 | 0.85     | 0.8425   | 0.2088 | 0.0528 |
| No log        | 28.0  | 196  | 0.4037          | 0.845    | 0.2650     | 1.0692 | 0.845    | 0.8361   | 0.2157 | 0.0496 |
| No log        | 29.0  | 203  | 0.4027          | 0.845    | 0.2652     | 1.0423 | 0.845    | 0.8295   | 0.1917 | 0.0502 |
| No log        | 30.0  | 210  | 0.3989          | 0.85     | 0.2610     | 1.0633 | 0.85     | 0.8392   | 0.2214 | 0.0482 |
| No log        | 31.0  | 217  | 0.3985          | 0.855    | 0.2609     | 1.0374 | 0.855    | 0.8424   | 0.2074 | 0.0472 |
| No log        | 32.0  | 224  | 0.3986          | 0.85     | 0.2596     | 1.0403 | 0.85     | 0.8392   | 0.2184 | 0.0462 |
| No log        | 33.0  | 231  | 0.3990          | 0.85     | 0.2603     | 1.0369 | 0.85     | 0.8392   | 0.2079 | 0.0470 |
| No log        | 34.0  | 238  | 0.3982          | 0.85     | 0.2600     | 0.9765 | 0.85     | 0.8392   | 0.2160 | 0.0467 |
| No log        | 35.0  | 245  | 0.3977          | 0.85     | 0.2601     | 0.9762 | 0.85     | 0.8392   | 0.2108 | 0.0465 |
| No log        | 36.0  | 252  | 0.3977          | 0.85     | 0.2600     | 1.0372 | 0.85     | 0.8392   | 0.2075 | 0.0466 |
| No log        | 37.0  | 259  | 0.3972          | 0.85     | 0.2597     | 1.0383 | 0.85     | 0.8392   | 0.2091 | 0.0465 |
| No log        | 38.0  | 266  | 0.3967          | 0.85     | 0.2590     | 0.9796 | 0.85     | 0.8392   | 0.1987 | 0.0461 |
| No log        | 39.0  | 273  | 0.3979          | 0.85     | 0.2601     | 1.0390 | 0.85     | 0.8392   | 0.1991 | 0.0467 |
| No log        | 40.0  | 280  | 0.3976          | 0.85     | 0.2601     | 0.9775 | 0.85     | 0.8392   | 0.2175 | 0.0465 |
| No log        | 41.0  | 287  | 0.3979          | 0.85     | 0.2603     | 0.9796 | 0.85     | 0.8392   | 0.1930 | 0.0467 |
| No log        | 42.0  | 294  | 0.3973          | 0.85     | 0.2598     | 0.9746 | 0.85     | 0.8392   | 0.2175 | 0.0468 |
| No log        | 43.0  | 301  | 0.3972          | 0.85     | 0.2598     | 0.9798 | 0.85     | 0.8392   | 0.1931 | 0.0466 |
| No log        | 44.0  | 308  | 0.3969          | 0.85     | 0.2594     | 0.9784 | 0.85     | 0.8392   | 0.2094 | 0.0465 |
| No log        | 45.0  | 315  | 0.3971          | 0.85     | 0.2596     | 0.9847 | 0.85     | 0.8392   | 0.2033 | 0.0464 |
| No log        | 46.0  | 322  | 0.3969          | 0.85     | 0.2597     | 0.9768 | 0.85     | 0.8392   | 0.2100 | 0.0465 |
| No log        | 47.0  | 329  | 0.3974          | 0.85     | 0.2599     | 0.9788 | 0.85     | 0.8392   | 0.2090 | 0.0467 |
| No log        | 48.0  | 336  | 0.3971          | 0.85     | 0.2596     | 0.9797 | 0.85     | 0.8392   | 0.1977 | 0.0463 |
| No log        | 49.0  | 343  | 0.3972          | 0.85     | 0.2597     | 0.9391 | 0.85     | 0.8392   | 0.1903 | 0.0465 |
| No log        | 50.0  | 350  | 0.3969          | 0.85     | 0.2596     | 0.9802 | 0.85     | 0.8392   | 0.1985 | 0.0464 |
| No log        | 51.0  | 357  | 0.3970          | 0.85     | 0.2596     | 0.9795 | 0.85     | 0.8392   | 0.2161 | 0.0463 |
| No log        | 52.0  | 364  | 0.3973          | 0.85     | 0.2597     | 0.9333 | 0.85     | 0.8392   | 0.1983 | 0.0462 |
| No log        | 53.0  | 371  | 0.3971          | 0.85     | 0.2597     | 0.9408 | 0.85     | 0.8392   | 0.2022 | 0.0467 |
| No log        | 54.0  | 378  | 0.3970          | 0.85     | 0.2595     | 0.9371 | 0.85     | 0.8392   | 0.1992 | 0.0460 |
| No log        | 55.0  | 385  | 0.3970          | 0.85     | 0.2596     | 0.9262 | 0.85     | 0.8392   | 0.1917 | 0.0464 |
| No log        | 56.0  | 392  | 0.3971          | 0.85     | 0.2595     | 0.9195 | 0.85     | 0.8392   | 0.1927 | 0.0461 |
| No log        | 57.0  | 399  | 0.3970          | 0.85     | 0.2596     | 0.9789 | 0.85     | 0.8392   | 0.1992 | 0.0462 |
| No log        | 58.0  | 406  | 0.3968          | 0.85     | 0.2594     | 0.9255 | 0.85     | 0.8392   | 0.1929 | 0.0462 |
| No log        | 59.0  | 413  | 0.3967          | 0.85     | 0.2593     | 0.9795 | 0.85     | 0.8392   | 0.1996 | 0.0459 |
| No log        | 60.0  | 420  | 0.3970          | 0.85     | 0.2596     | 0.9787 | 0.85     | 0.8392   | 0.1994 | 0.0461 |
| No log        | 61.0  | 427  | 0.3967          | 0.85     | 0.2594     | 0.9803 | 0.85     | 0.8392   | 0.2073 | 0.0461 |
| No log        | 62.0  | 434  | 0.3968          | 0.85     | 0.2594     | 0.9325 | 0.85     | 0.8392   | 0.1996 | 0.0460 |
| No log        | 63.0  | 441  | 0.3968          | 0.85     | 0.2595     | 0.9276 | 0.85     | 0.8392   | 0.2063 | 0.0459 |
| No log        | 64.0  | 448  | 0.3968          | 0.85     | 0.2595     | 0.9247 | 0.85     | 0.8392   | 0.1991 | 0.0461 |
| No log        | 65.0  | 455  | 0.3968          | 0.85     | 0.2595     | 0.9301 | 0.85     | 0.8392   | 0.1989 | 0.0459 |
| No log        | 66.0  | 462  | 0.3968          | 0.85     | 0.2595     | 0.9310 | 0.85     | 0.8392   | 0.1922 | 0.0459 |
| No log        | 67.0  | 469  | 0.3968          | 0.85     | 0.2595     | 0.9250 | 0.85     | 0.8392   | 0.2061 | 0.0459 |
| No log        | 68.0  | 476  | 0.3968          | 0.85     | 0.2594     | 0.9234 | 0.85     | 0.8392   | 0.1994 | 0.0461 |
| No log        | 69.0  | 483  | 0.3967          | 0.85     | 0.2594     | 0.9257 | 0.85     | 0.8392   | 0.2065 | 0.0459 |
| No log        | 70.0  | 490  | 0.3967          | 0.85     | 0.2594     | 0.9205 | 0.85     | 0.8392   | 0.1840 | 0.0459 |
| No log        | 71.0  | 497  | 0.3967          | 0.85     | 0.2594     | 0.9258 | 0.85     | 0.8392   | 0.2017 | 0.0458 |
| 0.1666        | 72.0  | 504  | 0.3969          | 0.85     | 0.2594     | 0.9297 | 0.85     | 0.8392   | 0.2017 | 0.0458 |
| 0.1666        | 73.0  | 511  | 0.3966          | 0.85     | 0.2593     | 0.9223 | 0.85     | 0.8392   | 0.1920 | 0.0457 |
| 0.1666        | 74.0  | 518  | 0.3967          | 0.85     | 0.2594     | 0.9228 | 0.85     | 0.8392   | 0.1920 | 0.0459 |
| 0.1666        | 75.0  | 525  | 0.3967          | 0.85     | 0.2594     | 0.9257 | 0.85     | 0.8392   | 0.1919 | 0.0459 |
| 0.1666        | 76.0  | 532  | 0.3966          | 0.85     | 0.2593     | 0.9232 | 0.85     | 0.8392   | 0.1994 | 0.0458 |
| 0.1666        | 77.0  | 539  | 0.3968          | 0.85     | 0.2594     | 0.9224 | 0.85     | 0.8392   | 0.1920 | 0.0459 |
| 0.1666        | 78.0  | 546  | 0.3966          | 0.85     | 0.2593     | 0.9242 | 0.85     | 0.8392   | 0.1918 | 0.0458 |
| 0.1666        | 79.0  | 553  | 0.3967          | 0.85     | 0.2594     | 0.9233 | 0.85     | 0.8392   | 0.1920 | 0.0459 |
| 0.1666        | 80.0  | 560  | 0.3968          | 0.85     | 0.2594     | 0.9241 | 0.85     | 0.8392   | 0.1919 | 0.0458 |
| 0.1666        | 81.0  | 567  | 0.3967          | 0.85     | 0.2594     | 0.9225 | 0.85     | 0.8392   | 0.1918 | 0.0459 |
| 0.1666        | 82.0  | 574  | 0.3967          | 0.85     | 0.2594     | 0.9233 | 0.85     | 0.8392   | 0.1919 | 0.0459 |
| 0.1666        | 83.0  | 581  | 0.3967          | 0.85     | 0.2593     | 0.9246 | 0.85     | 0.8392   | 0.1919 | 0.0458 |
| 0.1666        | 84.0  | 588  | 0.3966          | 0.85     | 0.2593     | 0.9229 | 0.85     | 0.8392   | 0.2017 | 0.0458 |
| 0.1666        | 85.0  | 595  | 0.3966          | 0.85     | 0.2593     | 0.9232 | 0.85     | 0.8392   | 0.2017 | 0.0458 |
| 0.1666        | 86.0  | 602  | 0.3967          | 0.85     | 0.2593     | 0.9225 | 0.85     | 0.8392   | 0.1920 | 0.0458 |
| 0.1666        | 87.0  | 609  | 0.3966          | 0.85     | 0.2593     | 0.9214 | 0.85     | 0.8392   | 0.1999 | 0.0458 |
| 0.1666        | 88.0  | 616  | 0.3967          | 0.85     | 0.2593     | 0.9214 | 0.85     | 0.8392   | 0.1920 | 0.0458 |
| 0.1666        | 89.0  | 623  | 0.3966          | 0.85     | 0.2593     | 0.9227 | 0.85     | 0.8392   | 0.2097 | 0.0458 |
| 0.1666        | 90.0  | 630  | 0.3967          | 0.85     | 0.2594     | 0.9219 | 0.85     | 0.8392   | 0.1919 | 0.0458 |
| 0.1666        | 91.0  | 637  | 0.3966          | 0.85     | 0.2593     | 0.9212 | 0.85     | 0.8392   | 0.1994 | 0.0458 |
| 0.1666        | 92.0  | 644  | 0.3966          | 0.85     | 0.2593     | 0.9227 | 0.85     | 0.8392   | 0.1919 | 0.0458 |
| 0.1666        | 93.0  | 651  | 0.3966          | 0.85     | 0.2593     | 0.9231 | 0.85     | 0.8392   | 0.2017 | 0.0458 |
| 0.1666        | 94.0  | 658  | 0.3967          | 0.85     | 0.2593     | 0.9220 | 0.85     | 0.8392   | 0.1919 | 0.0458 |
| 0.1666        | 95.0  | 665  | 0.3966          | 0.85     | 0.2593     | 0.9217 | 0.85     | 0.8392   | 0.1920 | 0.0457 |
| 0.1666        | 96.0  | 672  | 0.3966          | 0.85     | 0.2593     | 0.9218 | 0.85     | 0.8392   | 0.1920 | 0.0458 |
| 0.1666        | 97.0  | 679  | 0.3966          | 0.85     | 0.2593     | 0.9221 | 0.85     | 0.8392   | 0.1920 | 0.0458 |
| 0.1666        | 98.0  | 686  | 0.3966          | 0.85     | 0.2593     | 0.9224 | 0.85     | 0.8392   | 0.1920 | 0.0457 |
| 0.1666        | 99.0  | 693  | 0.3966          | 0.85     | 0.2593     | 0.9224 | 0.85     | 0.8392   | 0.1994 | 0.0457 |
| 0.1666        | 100.0 | 700  | 0.3966          | 0.85     | 0.2593     | 0.9223 | 0.85     | 0.8392   | 0.1994 | 0.0457 |


### Framework versions

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

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