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# vit-small_tobacco3482_kd_CEKD_t1.5_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: 0.4258
- Accuracy: 0.825
- Brier Loss: 0.2707
- Nll: 0.8867
- F1 Micro: 0.825
- F1 Macro: 0.8116
- Ece: 0.2129
- Aurc: 0.0681

## 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    | 1.7307          | 0.22     | 0.8748     | 5.3766 | 0.22     | 0.1294   | 0.2444 | 0.6913 |
| No log        | 2.0   | 14   | 1.3514          | 0.405    | 0.7426     | 3.5573 | 0.405    | 0.2280   | 0.2900 | 0.4026 |
| No log        | 3.0   | 21   | 0.9121          | 0.62     | 0.5647     | 1.9398 | 0.62     | 0.5595   | 0.2879 | 0.2015 |
| No log        | 4.0   | 28   | 0.7084          | 0.695    | 0.4179     | 1.7042 | 0.695    | 0.6379   | 0.2305 | 0.1177 |
| No log        | 5.0   | 35   | 0.7167          | 0.735    | 0.3862     | 1.7929 | 0.735    | 0.7392   | 0.2380 | 0.1046 |
| No log        | 6.0   | 42   | 0.6442          | 0.765    | 0.3625     | 1.5688 | 0.765    | 0.7549   | 0.2371 | 0.1034 |
| No log        | 7.0   | 49   | 0.6147          | 0.805    | 0.3410     | 1.5975 | 0.805    | 0.7789   | 0.2438 | 0.1042 |
| No log        | 8.0   | 56   | 0.6444          | 0.775    | 0.3446     | 1.2309 | 0.775    | 0.7725   | 0.2305 | 0.0911 |
| No log        | 9.0   | 63   | 0.5964          | 0.8      | 0.3219     | 1.3613 | 0.8000   | 0.7784   | 0.2446 | 0.0734 |
| No log        | 10.0  | 70   | 0.5700          | 0.82     | 0.3160     | 1.2605 | 0.82     | 0.7860   | 0.2301 | 0.0632 |
| No log        | 11.0  | 77   | 0.5663          | 0.79     | 0.3176     | 1.2939 | 0.79     | 0.7643   | 0.2315 | 0.0666 |
| No log        | 12.0  | 84   | 0.5111          | 0.825    | 0.3143     | 1.1082 | 0.825    | 0.8082   | 0.2519 | 0.0844 |
| No log        | 13.0  | 91   | 0.5228          | 0.78     | 0.3156     | 0.9444 | 0.78     | 0.7773   | 0.1941 | 0.0650 |
| No log        | 14.0  | 98   | 0.5792          | 0.78     | 0.3409     | 1.5054 | 0.78     | 0.7725   | 0.2061 | 0.1019 |
| No log        | 15.0  | 105  | 0.4905          | 0.83     | 0.2912     | 1.0068 | 0.83     | 0.8266   | 0.2324 | 0.0545 |
| No log        | 16.0  | 112  | 0.4990          | 0.825    | 0.2961     | 1.1452 | 0.825    | 0.8140   | 0.2188 | 0.0632 |
| No log        | 17.0  | 119  | 0.4900          | 0.805    | 0.2940     | 1.2027 | 0.805    | 0.8018   | 0.2188 | 0.0860 |
| No log        | 18.0  | 126  | 0.4755          | 0.805    | 0.2988     | 1.0223 | 0.805    | 0.7789   | 0.2229 | 0.0792 |
| No log        | 19.0  | 133  | 0.4398          | 0.81     | 0.2679     | 0.9732 | 0.81     | 0.7830   | 0.2085 | 0.0585 |
| No log        | 20.0  | 140  | 0.4766          | 0.805    | 0.2992     | 0.9730 | 0.805    | 0.7934   | 0.2141 | 0.0662 |
| No log        | 21.0  | 147  | 0.4615          | 0.835    | 0.2867     | 0.9343 | 0.835    | 0.8219   | 0.1999 | 0.0751 |
| No log        | 22.0  | 154  | 0.4343          | 0.825    | 0.2641     | 1.1353 | 0.825    | 0.8070   | 0.2095 | 0.0603 |
| No log        | 23.0  | 161  | 0.4291          | 0.85     | 0.2660     | 1.0109 | 0.85     | 0.8365   | 0.2435 | 0.0615 |
| No log        | 24.0  | 168  | 0.4263          | 0.855    | 0.2653     | 0.9395 | 0.855    | 0.8440   | 0.2445 | 0.0623 |
| No log        | 25.0  | 175  | 0.4338          | 0.845    | 0.2700     | 0.8794 | 0.845    | 0.8349   | 0.2254 | 0.0584 |
| No log        | 26.0  | 182  | 0.4305          | 0.835    | 0.2648     | 0.9062 | 0.835    | 0.8322   | 0.2113 | 0.0658 |
| No log        | 27.0  | 189  | 0.4262          | 0.84     | 0.2683     | 0.9967 | 0.8400   | 0.8291   | 0.2240 | 0.0670 |
| No log        | 28.0  | 196  | 0.4329          | 0.83     | 0.2724     | 0.9016 | 0.83     | 0.8239   | 0.2016 | 0.0685 |
| No log        | 29.0  | 203  | 0.4233          | 0.845    | 0.2653     | 0.9115 | 0.845    | 0.8375   | 0.2005 | 0.0634 |
| No log        | 30.0  | 210  | 0.4204          | 0.84     | 0.2638     | 0.8892 | 0.8400   | 0.8348   | 0.2175 | 0.0633 |
| No log        | 31.0  | 217  | 0.4240          | 0.83     | 0.2684     | 0.8871 | 0.83     | 0.8217   | 0.2128 | 0.0660 |
| No log        | 32.0  | 224  | 0.4246          | 0.84     | 0.2677     | 0.8867 | 0.8400   | 0.8307   | 0.2117 | 0.0670 |
| No log        | 33.0  | 231  | 0.4247          | 0.83     | 0.2690     | 0.8917 | 0.83     | 0.8202   | 0.2084 | 0.0679 |
| No log        | 34.0  | 238  | 0.4218          | 0.84     | 0.2660     | 0.8848 | 0.8400   | 0.8326   | 0.2138 | 0.0663 |
| No log        | 35.0  | 245  | 0.4220          | 0.845    | 0.2667     | 0.8926 | 0.845    | 0.8354   | 0.2109 | 0.0655 |
| No log        | 36.0  | 252  | 0.4247          | 0.83     | 0.2694     | 0.8854 | 0.83     | 0.8202   | 0.2213 | 0.0683 |
| No log        | 37.0  | 259  | 0.4239          | 0.84     | 0.2683     | 0.8849 | 0.8400   | 0.8326   | 0.2163 | 0.0670 |
| No log        | 38.0  | 266  | 0.4239          | 0.835    | 0.2689     | 0.8876 | 0.835    | 0.8208   | 0.2118 | 0.0672 |
| No log        | 39.0  | 273  | 0.4252          | 0.83     | 0.2696     | 0.8885 | 0.83     | 0.8180   | 0.2064 | 0.0682 |
| No log        | 40.0  | 280  | 0.4237          | 0.835    | 0.2686     | 0.8867 | 0.835    | 0.8208   | 0.2211 | 0.0675 |
| No log        | 41.0  | 287  | 0.4256          | 0.83     | 0.2700     | 0.8847 | 0.83     | 0.8180   | 0.2253 | 0.0682 |
| No log        | 42.0  | 294  | 0.4243          | 0.835    | 0.2692     | 0.8839 | 0.835    | 0.8208   | 0.2130 | 0.0675 |
| No log        | 43.0  | 301  | 0.4248          | 0.83     | 0.2695     | 0.8850 | 0.83     | 0.8180   | 0.2237 | 0.0682 |
| No log        | 44.0  | 308  | 0.4246          | 0.83     | 0.2694     | 0.8847 | 0.83     | 0.8180   | 0.2383 | 0.0680 |
| No log        | 45.0  | 315  | 0.4253          | 0.83     | 0.2699     | 0.8858 | 0.83     | 0.8180   | 0.2200 | 0.0681 |
| No log        | 46.0  | 322  | 0.4246          | 0.83     | 0.2694     | 0.8857 | 0.83     | 0.8180   | 0.2311 | 0.0679 |
| No log        | 47.0  | 329  | 0.4253          | 0.83     | 0.2700     | 0.8843 | 0.83     | 0.8180   | 0.2312 | 0.0682 |
| No log        | 48.0  | 336  | 0.4252          | 0.83     | 0.2698     | 0.8830 | 0.83     | 0.8180   | 0.2177 | 0.0682 |
| No log        | 49.0  | 343  | 0.4257          | 0.83     | 0.2703     | 0.8848 | 0.83     | 0.8180   | 0.2315 | 0.0683 |
| No log        | 50.0  | 350  | 0.4256          | 0.83     | 0.2703     | 0.8833 | 0.83     | 0.8180   | 0.2331 | 0.0684 |
| No log        | 51.0  | 357  | 0.4254          | 0.83     | 0.2703     | 0.8863 | 0.83     | 0.8180   | 0.2422 | 0.0681 |
| No log        | 52.0  | 364  | 0.4261          | 0.83     | 0.2707     | 0.8864 | 0.83     | 0.8180   | 0.2424 | 0.0683 |
| No log        | 53.0  | 371  | 0.4249          | 0.83     | 0.2700     | 0.8855 | 0.83     | 0.8180   | 0.2195 | 0.0679 |
| No log        | 54.0  | 378  | 0.4255          | 0.83     | 0.2704     | 0.8846 | 0.83     | 0.8180   | 0.2342 | 0.0682 |
| No log        | 55.0  | 385  | 0.4256          | 0.825    | 0.2704     | 0.8861 | 0.825    | 0.8116   | 0.2357 | 0.0682 |
| No log        | 56.0  | 392  | 0.4264          | 0.83     | 0.2708     | 0.8853 | 0.83     | 0.8180   | 0.2345 | 0.0682 |
| No log        | 57.0  | 399  | 0.4257          | 0.825    | 0.2706     | 0.8864 | 0.825    | 0.8116   | 0.2353 | 0.0682 |
| No log        | 58.0  | 406  | 0.4258          | 0.825    | 0.2704     | 0.8841 | 0.825    | 0.8116   | 0.2271 | 0.0681 |
| No log        | 59.0  | 413  | 0.4255          | 0.825    | 0.2703     | 0.8856 | 0.825    | 0.8116   | 0.2267 | 0.0680 |
| No log        | 60.0  | 420  | 0.4259          | 0.825    | 0.2709     | 0.8842 | 0.825    | 0.8116   | 0.2269 | 0.0683 |
| No log        | 61.0  | 427  | 0.4254          | 0.83     | 0.2702     | 0.8852 | 0.83     | 0.8180   | 0.2265 | 0.0680 |
| No log        | 62.0  | 434  | 0.4261          | 0.83     | 0.2707     | 0.8851 | 0.83     | 0.8180   | 0.2346 | 0.0682 |
| No log        | 63.0  | 441  | 0.4257          | 0.825    | 0.2704     | 0.8854 | 0.825    | 0.8116   | 0.2232 | 0.0682 |
| No log        | 64.0  | 448  | 0.4261          | 0.825    | 0.2708     | 0.8845 | 0.825    | 0.8116   | 0.2264 | 0.0683 |
| No log        | 65.0  | 455  | 0.4259          | 0.825    | 0.2706     | 0.8862 | 0.825    | 0.8116   | 0.2204 | 0.0682 |
| No log        | 66.0  | 462  | 0.4258          | 0.825    | 0.2707     | 0.8856 | 0.825    | 0.8116   | 0.2193 | 0.0682 |
| No log        | 67.0  | 469  | 0.4255          | 0.83     | 0.2703     | 0.8852 | 0.83     | 0.8180   | 0.2190 | 0.0681 |
| No log        | 68.0  | 476  | 0.4260          | 0.825    | 0.2708     | 0.8860 | 0.825    | 0.8116   | 0.2196 | 0.0682 |
| No log        | 69.0  | 483  | 0.4259          | 0.825    | 0.2708     | 0.8858 | 0.825    | 0.8116   | 0.2195 | 0.0682 |
| No log        | 70.0  | 490  | 0.4255          | 0.825    | 0.2703     | 0.8857 | 0.825    | 0.8116   | 0.2135 | 0.0682 |
| No log        | 71.0  | 497  | 0.4258          | 0.825    | 0.2707     | 0.8857 | 0.825    | 0.8116   | 0.2205 | 0.0681 |
| 0.1816        | 72.0  | 504  | 0.4261          | 0.825    | 0.2708     | 0.8857 | 0.825    | 0.8116   | 0.2198 | 0.0682 |
| 0.1816        | 73.0  | 511  | 0.4259          | 0.825    | 0.2706     | 0.8852 | 0.825    | 0.8116   | 0.2192 | 0.0682 |
| 0.1816        | 74.0  | 518  | 0.4259          | 0.825    | 0.2707     | 0.8856 | 0.825    | 0.8116   | 0.2290 | 0.0681 |
| 0.1816        | 75.0  | 525  | 0.4257          | 0.825    | 0.2706     | 0.8864 | 0.825    | 0.8116   | 0.2337 | 0.0681 |
| 0.1816        | 76.0  | 532  | 0.4259          | 0.825    | 0.2707     | 0.8855 | 0.825    | 0.8116   | 0.2211 | 0.0681 |
| 0.1816        | 77.0  | 539  | 0.4255          | 0.825    | 0.2704     | 0.8860 | 0.825    | 0.8116   | 0.2137 | 0.0680 |
| 0.1816        | 78.0  | 546  | 0.4258          | 0.825    | 0.2707     | 0.8868 | 0.825    | 0.8116   | 0.2274 | 0.0682 |
| 0.1816        | 79.0  | 553  | 0.4260          | 0.825    | 0.2708     | 0.8859 | 0.825    | 0.8116   | 0.2209 | 0.0682 |
| 0.1816        | 80.0  | 560  | 0.4260          | 0.825    | 0.2708     | 0.8864 | 0.825    | 0.8116   | 0.2135 | 0.0681 |
| 0.1816        | 81.0  | 567  | 0.4259          | 0.825    | 0.2707     | 0.8859 | 0.825    | 0.8116   | 0.2134 | 0.0682 |
| 0.1816        | 82.0  | 574  | 0.4258          | 0.825    | 0.2706     | 0.8862 | 0.825    | 0.8116   | 0.2062 | 0.0681 |
| 0.1816        | 83.0  | 581  | 0.4259          | 0.825    | 0.2707     | 0.8866 | 0.825    | 0.8116   | 0.2204 | 0.0681 |
| 0.1816        | 84.0  | 588  | 0.4259          | 0.825    | 0.2707     | 0.8868 | 0.825    | 0.8116   | 0.2204 | 0.0681 |
| 0.1816        | 85.0  | 595  | 0.4257          | 0.825    | 0.2706     | 0.8861 | 0.825    | 0.8116   | 0.2141 | 0.0682 |
| 0.1816        | 86.0  | 602  | 0.4258          | 0.825    | 0.2707     | 0.8861 | 0.825    | 0.8116   | 0.2140 | 0.0682 |
| 0.1816        | 87.0  | 609  | 0.4258          | 0.825    | 0.2707     | 0.8867 | 0.825    | 0.8116   | 0.2137 | 0.0680 |
| 0.1816        | 88.0  | 616  | 0.4259          | 0.825    | 0.2707     | 0.8866 | 0.825    | 0.8116   | 0.2129 | 0.0681 |
| 0.1816        | 89.0  | 623  | 0.4258          | 0.825    | 0.2707     | 0.8866 | 0.825    | 0.8116   | 0.2205 | 0.0681 |
| 0.1816        | 90.0  | 630  | 0.4259          | 0.825    | 0.2707     | 0.8865 | 0.825    | 0.8116   | 0.2053 | 0.0680 |
| 0.1816        | 91.0  | 637  | 0.4258          | 0.825    | 0.2706     | 0.8868 | 0.825    | 0.8116   | 0.2130 | 0.0681 |
| 0.1816        | 92.0  | 644  | 0.4258          | 0.825    | 0.2706     | 0.8870 | 0.825    | 0.8116   | 0.2129 | 0.0680 |
| 0.1816        | 93.0  | 651  | 0.4258          | 0.825    | 0.2706     | 0.8868 | 0.825    | 0.8116   | 0.2129 | 0.0681 |
| 0.1816        | 94.0  | 658  | 0.4258          | 0.825    | 0.2707     | 0.8867 | 0.825    | 0.8116   | 0.2129 | 0.0681 |
| 0.1816        | 95.0  | 665  | 0.4258          | 0.825    | 0.2707     | 0.8867 | 0.825    | 0.8116   | 0.2053 | 0.0680 |
| 0.1816        | 96.0  | 672  | 0.4259          | 0.825    | 0.2707     | 0.8866 | 0.825    | 0.8116   | 0.2053 | 0.0681 |
| 0.1816        | 97.0  | 679  | 0.4258          | 0.825    | 0.2707     | 0.8868 | 0.825    | 0.8116   | 0.2129 | 0.0681 |
| 0.1816        | 98.0  | 686  | 0.4258          | 0.825    | 0.2707     | 0.8868 | 0.825    | 0.8116   | 0.2129 | 0.0680 |
| 0.1816        | 99.0  | 693  | 0.4258          | 0.825    | 0.2707     | 0.8868 | 0.825    | 0.8116   | 0.2129 | 0.0681 |
| 0.1816        | 100.0 | 700  | 0.4258          | 0.825    | 0.2707     | 0.8867 | 0.825    | 0.8116   | 0.2129 | 0.0681 |


### Framework versions

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

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