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# vit-small_tobacco3482_kd_CEKD_t2.5_a0.9

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: 0.5446
- Accuracy: 0.85
- Brier Loss: 0.2446
- Nll: 1.0816
- F1 Micro: 0.85
- F1 Macro: 0.8348
- Ece: 0.1474
- Aurc: 0.0436

## 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    | 2.1216          | 0.215    | 0.8751     | 5.2864 | 0.2150   | 0.1264   | 0.2697 | 0.6907 |
| No log        | 2.0   | 14   | 1.7056          | 0.405    | 0.7400     | 3.5721 | 0.405    | 0.2275   | 0.2995 | 0.4011 |
| No log        | 3.0   | 21   | 1.1857          | 0.62     | 0.5612     | 2.0143 | 0.62     | 0.5712   | 0.2994 | 0.2024 |
| No log        | 4.0   | 28   | 0.8767          | 0.705    | 0.4085     | 1.6918 | 0.705    | 0.6436   | 0.2231 | 0.1152 |
| No log        | 5.0   | 35   | 0.8620          | 0.72     | 0.3878     | 1.7931 | 0.72     | 0.7294   | 0.2233 | 0.1076 |
| No log        | 6.0   | 42   | 0.7517          | 0.775    | 0.3252     | 1.5573 | 0.775    | 0.7600   | 0.1970 | 0.0790 |
| No log        | 7.0   | 49   | 0.7280          | 0.79     | 0.3175     | 1.5140 | 0.79     | 0.7742   | 0.1903 | 0.0826 |
| No log        | 8.0   | 56   | 0.6848          | 0.8      | 0.2942     | 1.4438 | 0.8000   | 0.7902   | 0.1828 | 0.0866 |
| No log        | 9.0   | 63   | 0.6744          | 0.81     | 0.2889     | 1.4703 | 0.81     | 0.7969   | 0.1989 | 0.0692 |
| No log        | 10.0  | 70   | 0.8432          | 0.74     | 0.3859     | 1.3134 | 0.74     | 0.7206   | 0.1959 | 0.1051 |
| No log        | 11.0  | 77   | 0.7424          | 0.765    | 0.3294     | 1.5162 | 0.765    | 0.7792   | 0.2005 | 0.1048 |
| No log        | 12.0  | 84   | 0.6953          | 0.79     | 0.3194     | 1.2233 | 0.79     | 0.7850   | 0.1800 | 0.0922 |
| No log        | 13.0  | 91   | 0.5703          | 0.845    | 0.2538     | 1.2355 | 0.845    | 0.8372   | 0.1739 | 0.0447 |
| No log        | 14.0  | 98   | 0.6439          | 0.795    | 0.2924     | 1.2777 | 0.795    | 0.7743   | 0.1771 | 0.0534 |
| No log        | 15.0  | 105  | 0.5895          | 0.825    | 0.2650     | 1.2086 | 0.825    | 0.8071   | 0.1665 | 0.0566 |
| No log        | 16.0  | 112  | 0.5973          | 0.81     | 0.2753     | 1.0959 | 0.81     | 0.8013   | 0.1839 | 0.0534 |
| No log        | 17.0  | 119  | 0.5825          | 0.795    | 0.2722     | 1.1565 | 0.795    | 0.7886   | 0.1855 | 0.0534 |
| No log        | 18.0  | 126  | 0.5854          | 0.845    | 0.2661     | 1.1223 | 0.845    | 0.8424   | 0.1981 | 0.0549 |
| No log        | 19.0  | 133  | 0.5514          | 0.82     | 0.2553     | 0.9585 | 0.82     | 0.8150   | 0.1600 | 0.0481 |
| No log        | 20.0  | 140  | 0.5600          | 0.835    | 0.2443     | 1.2692 | 0.835    | 0.8232   | 0.1657 | 0.0469 |
| No log        | 21.0  | 147  | 0.5592          | 0.845    | 0.2473     | 1.1658 | 0.845    | 0.8331   | 0.1683 | 0.0493 |
| No log        | 22.0  | 154  | 0.5507          | 0.845    | 0.2411     | 1.1403 | 0.845    | 0.8311   | 0.1797 | 0.0450 |
| No log        | 23.0  | 161  | 0.5305          | 0.84     | 0.2361     | 1.1509 | 0.8400   | 0.8287   | 0.1650 | 0.0409 |
| No log        | 24.0  | 168  | 0.5352          | 0.835    | 0.2378     | 1.2208 | 0.835    | 0.8201   | 0.1515 | 0.0420 |
| No log        | 25.0  | 175  | 0.5425          | 0.845    | 0.2420     | 1.1208 | 0.845    | 0.8321   | 0.1776 | 0.0430 |
| No log        | 26.0  | 182  | 0.5396          | 0.84     | 0.2409     | 1.1230 | 0.8400   | 0.8286   | 0.1647 | 0.0446 |
| No log        | 27.0  | 189  | 0.5436          | 0.85     | 0.2401     | 1.1179 | 0.85     | 0.8387   | 0.1568 | 0.0427 |
| No log        | 28.0  | 196  | 0.5373          | 0.835    | 0.2415     | 1.1092 | 0.835    | 0.8141   | 0.1641 | 0.0427 |
| No log        | 29.0  | 203  | 0.5420          | 0.845    | 0.2436     | 1.0988 | 0.845    | 0.8326   | 0.1551 | 0.0444 |
| No log        | 30.0  | 210  | 0.5413          | 0.845    | 0.2420     | 1.1064 | 0.845    | 0.8312   | 0.1486 | 0.0440 |
| No log        | 31.0  | 217  | 0.5411          | 0.84     | 0.2418     | 1.1024 | 0.8400   | 0.8286   | 0.1565 | 0.0435 |
| No log        | 32.0  | 224  | 0.5426          | 0.845    | 0.2429     | 1.0993 | 0.845    | 0.8322   | 0.1631 | 0.0433 |
| No log        | 33.0  | 231  | 0.5424          | 0.85     | 0.2426     | 1.0989 | 0.85     | 0.8348   | 0.1615 | 0.0436 |
| No log        | 34.0  | 238  | 0.5406          | 0.84     | 0.2419     | 1.0979 | 0.8400   | 0.8251   | 0.1640 | 0.0440 |
| No log        | 35.0  | 245  | 0.5438          | 0.85     | 0.2436     | 1.0953 | 0.85     | 0.8348   | 0.1595 | 0.0438 |
| No log        | 36.0  | 252  | 0.5429          | 0.85     | 0.2429     | 1.0970 | 0.85     | 0.8348   | 0.1495 | 0.0433 |
| No log        | 37.0  | 259  | 0.5431          | 0.85     | 0.2427     | 1.0951 | 0.85     | 0.8348   | 0.1617 | 0.0435 |
| No log        | 38.0  | 266  | 0.5424          | 0.85     | 0.2426     | 1.0959 | 0.85     | 0.8348   | 0.1587 | 0.0434 |
| No log        | 39.0  | 273  | 0.5428          | 0.85     | 0.2432     | 1.0924 | 0.85     | 0.8348   | 0.1512 | 0.0433 |
| No log        | 40.0  | 280  | 0.5437          | 0.85     | 0.2438     | 1.0911 | 0.85     | 0.8348   | 0.1726 | 0.0438 |
| No log        | 41.0  | 287  | 0.5438          | 0.85     | 0.2434     | 1.0925 | 0.85     | 0.8348   | 0.1704 | 0.0433 |
| No log        | 42.0  | 294  | 0.5428          | 0.85     | 0.2432     | 1.0927 | 0.85     | 0.8348   | 0.1585 | 0.0436 |
| No log        | 43.0  | 301  | 0.5455          | 0.85     | 0.2443     | 1.0907 | 0.85     | 0.8348   | 0.1756 | 0.0437 |
| No log        | 44.0  | 308  | 0.5427          | 0.85     | 0.2433     | 1.0908 | 0.85     | 0.8348   | 0.1616 | 0.0433 |
| No log        | 45.0  | 315  | 0.5456          | 0.85     | 0.2446     | 1.0878 | 0.85     | 0.8348   | 0.1767 | 0.0437 |
| No log        | 46.0  | 322  | 0.5439          | 0.85     | 0.2438     | 1.0895 | 0.85     | 0.8348   | 0.1503 | 0.0435 |
| No log        | 47.0  | 329  | 0.5448          | 0.85     | 0.2443     | 1.0891 | 0.85     | 0.8348   | 0.1674 | 0.0439 |
| No log        | 48.0  | 336  | 0.5440          | 0.85     | 0.2437     | 1.0898 | 0.85     | 0.8348   | 0.1768 | 0.0437 |
| No log        | 49.0  | 343  | 0.5443          | 0.85     | 0.2441     | 1.0883 | 0.85     | 0.8348   | 0.1433 | 0.0432 |
| No log        | 50.0  | 350  | 0.5449          | 0.85     | 0.2444     | 1.0877 | 0.85     | 0.8348   | 0.1722 | 0.0436 |
| No log        | 51.0  | 357  | 0.5443          | 0.85     | 0.2442     | 1.0871 | 0.85     | 0.8348   | 0.1606 | 0.0434 |
| No log        | 52.0  | 364  | 0.5453          | 0.85     | 0.2444     | 1.0865 | 0.85     | 0.8348   | 0.1729 | 0.0436 |
| No log        | 53.0  | 371  | 0.5433          | 0.845    | 0.2438     | 1.0873 | 0.845    | 0.8287   | 0.1570 | 0.0434 |
| No log        | 54.0  | 378  | 0.5453          | 0.85     | 0.2447     | 1.0854 | 0.85     | 0.8348   | 0.1606 | 0.0435 |
| No log        | 55.0  | 385  | 0.5438          | 0.85     | 0.2439     | 1.0868 | 0.85     | 0.8348   | 0.1721 | 0.0434 |
| No log        | 56.0  | 392  | 0.5455          | 0.85     | 0.2447     | 1.0853 | 0.85     | 0.8348   | 0.1710 | 0.0437 |
| No log        | 57.0  | 399  | 0.5435          | 0.85     | 0.2439     | 1.0864 | 0.85     | 0.8348   | 0.1540 | 0.0434 |
| No log        | 58.0  | 406  | 0.5451          | 0.85     | 0.2447     | 1.0844 | 0.85     | 0.8348   | 0.1636 | 0.0436 |
| No log        | 59.0  | 413  | 0.5442          | 0.85     | 0.2441     | 1.0858 | 0.85     | 0.8348   | 0.1556 | 0.0435 |
| No log        | 60.0  | 420  | 0.5453          | 0.85     | 0.2447     | 1.0843 | 0.85     | 0.8348   | 0.1717 | 0.0437 |
| No log        | 61.0  | 427  | 0.5439          | 0.85     | 0.2442     | 1.0847 | 0.85     | 0.8348   | 0.1541 | 0.0432 |
| No log        | 62.0  | 434  | 0.5455          | 0.85     | 0.2449     | 1.0839 | 0.85     | 0.8348   | 0.1550 | 0.0435 |
| No log        | 63.0  | 441  | 0.5446          | 0.85     | 0.2445     | 1.0843 | 0.85     | 0.8348   | 0.1553 | 0.0435 |
| No log        | 64.0  | 448  | 0.5448          | 0.85     | 0.2446     | 1.0833 | 0.85     | 0.8348   | 0.1634 | 0.0435 |
| No log        | 65.0  | 455  | 0.5443          | 0.85     | 0.2443     | 1.0847 | 0.85     | 0.8348   | 0.1554 | 0.0435 |
| No log        | 66.0  | 462  | 0.5448          | 0.85     | 0.2447     | 1.0831 | 0.85     | 0.8348   | 0.1547 | 0.0436 |
| No log        | 67.0  | 469  | 0.5452          | 0.85     | 0.2448     | 1.0828 | 0.85     | 0.8348   | 0.1563 | 0.0436 |
| No log        | 68.0  | 476  | 0.5443          | 0.85     | 0.2444     | 1.0834 | 0.85     | 0.8348   | 0.1472 | 0.0434 |
| No log        | 69.0  | 483  | 0.5447          | 0.85     | 0.2445     | 1.0832 | 0.85     | 0.8348   | 0.1632 | 0.0434 |
| No log        | 70.0  | 490  | 0.5447          | 0.85     | 0.2446     | 1.0831 | 0.85     | 0.8348   | 0.1559 | 0.0435 |
| No log        | 71.0  | 497  | 0.5447          | 0.85     | 0.2446     | 1.0829 | 0.85     | 0.8348   | 0.1473 | 0.0435 |
| 0.1823        | 72.0  | 504  | 0.5443          | 0.85     | 0.2444     | 1.0828 | 0.85     | 0.8348   | 0.1559 | 0.0434 |
| 0.1823        | 73.0  | 511  | 0.5447          | 0.85     | 0.2447     | 1.0825 | 0.85     | 0.8348   | 0.1472 | 0.0434 |
| 0.1823        | 74.0  | 518  | 0.5444          | 0.85     | 0.2444     | 1.0829 | 0.85     | 0.8348   | 0.1559 | 0.0436 |
| 0.1823        | 75.0  | 525  | 0.5446          | 0.85     | 0.2445     | 1.0829 | 0.85     | 0.8348   | 0.1557 | 0.0435 |
| 0.1823        | 76.0  | 532  | 0.5448          | 0.85     | 0.2445     | 1.0825 | 0.85     | 0.8348   | 0.1559 | 0.0435 |
| 0.1823        | 77.0  | 539  | 0.5443          | 0.85     | 0.2444     | 1.0827 | 0.85     | 0.8348   | 0.1558 | 0.0435 |
| 0.1823        | 78.0  | 546  | 0.5446          | 0.85     | 0.2446     | 1.0824 | 0.85     | 0.8348   | 0.1560 | 0.0436 |
| 0.1823        | 79.0  | 553  | 0.5450          | 0.85     | 0.2448     | 1.0821 | 0.85     | 0.8348   | 0.1637 | 0.0436 |
| 0.1823        | 80.0  | 560  | 0.5447          | 0.85     | 0.2446     | 1.0823 | 0.85     | 0.8348   | 0.1638 | 0.0436 |
| 0.1823        | 81.0  | 567  | 0.5446          | 0.85     | 0.2446     | 1.0820 | 0.85     | 0.8348   | 0.1560 | 0.0435 |
| 0.1823        | 82.0  | 574  | 0.5447          | 0.85     | 0.2446     | 1.0819 | 0.85     | 0.8348   | 0.1561 | 0.0435 |
| 0.1823        | 83.0  | 581  | 0.5448          | 0.85     | 0.2446     | 1.0822 | 0.85     | 0.8348   | 0.1550 | 0.0436 |
| 0.1823        | 84.0  | 588  | 0.5445          | 0.85     | 0.2446     | 1.0819 | 0.85     | 0.8348   | 0.1551 | 0.0435 |
| 0.1823        | 85.0  | 595  | 0.5446          | 0.85     | 0.2446     | 1.0818 | 0.85     | 0.8348   | 0.1560 | 0.0436 |
| 0.1823        | 86.0  | 602  | 0.5446          | 0.85     | 0.2446     | 1.0818 | 0.85     | 0.8348   | 0.1560 | 0.0435 |
| 0.1823        | 87.0  | 609  | 0.5448          | 0.85     | 0.2447     | 1.0820 | 0.85     | 0.8348   | 0.1560 | 0.0435 |
| 0.1823        | 88.0  | 616  | 0.5447          | 0.85     | 0.2446     | 1.0819 | 0.85     | 0.8348   | 0.1551 | 0.0435 |
| 0.1823        | 89.0  | 623  | 0.5446          | 0.85     | 0.2446     | 1.0819 | 0.85     | 0.8348   | 0.1560 | 0.0435 |
| 0.1823        | 90.0  | 630  | 0.5446          | 0.85     | 0.2446     | 1.0816 | 0.85     | 0.8348   | 0.1638 | 0.0436 |
| 0.1823        | 91.0  | 637  | 0.5446          | 0.85     | 0.2445     | 1.0817 | 0.85     | 0.8348   | 0.1474 | 0.0435 |
| 0.1823        | 92.0  | 644  | 0.5445          | 0.85     | 0.2445     | 1.0818 | 0.85     | 0.8348   | 0.1551 | 0.0436 |
| 0.1823        | 93.0  | 651  | 0.5447          | 0.85     | 0.2446     | 1.0818 | 0.85     | 0.8348   | 0.1560 | 0.0436 |
| 0.1823        | 94.0  | 658  | 0.5447          | 0.85     | 0.2446     | 1.0816 | 0.85     | 0.8348   | 0.1561 | 0.0436 |
| 0.1823        | 95.0  | 665  | 0.5447          | 0.85     | 0.2446     | 1.0816 | 0.85     | 0.8348   | 0.1550 | 0.0435 |
| 0.1823        | 96.0  | 672  | 0.5446          | 0.85     | 0.2446     | 1.0816 | 0.85     | 0.8348   | 0.1474 | 0.0436 |
| 0.1823        | 97.0  | 679  | 0.5446          | 0.85     | 0.2446     | 1.0817 | 0.85     | 0.8348   | 0.1551 | 0.0436 |
| 0.1823        | 98.0  | 686  | 0.5446          | 0.85     | 0.2446     | 1.0817 | 0.85     | 0.8348   | 0.1474 | 0.0436 |
| 0.1823        | 99.0  | 693  | 0.5446          | 0.85     | 0.2446     | 1.0816 | 0.85     | 0.8348   | 0.1474 | 0.0436 |
| 0.1823        | 100.0 | 700  | 0.5446          | 0.85     | 0.2446     | 1.0816 | 0.85     | 0.8348   | 0.1474 | 0.0436 |


### Framework versions

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

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