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# vit-small_tobacco3482_kd_CEKD_t1.5_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: 0.5492
- Accuracy: 0.84
- Brier Loss: 0.2438
- Nll: 1.0175
- F1 Micro: 0.8400
- F1 Macro: 0.8329
- Ece: 0.1581
- Aurc: 0.0460

## 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    | 2.1371          | 0.215    | 0.8750     | 5.2661 | 0.2150   | 0.1261   | 0.2616 | 0.6901 |
| No log        | 2.0   | 14   | 1.7146          | 0.4      | 0.7405     | 3.6392 | 0.4000   | 0.2249   | 0.2801 | 0.4047 |
| No log        | 3.0   | 21   | 1.1877          | 0.625    | 0.5608     | 2.0254 | 0.625    | 0.5681   | 0.3161 | 0.2040 |
| No log        | 4.0   | 28   | 0.8633          | 0.715    | 0.4058     | 1.6421 | 0.715    | 0.6656   | 0.2020 | 0.1142 |
| No log        | 5.0   | 35   | 0.8597          | 0.72     | 0.3947     | 1.6962 | 0.72     | 0.7299   | 0.2181 | 0.1133 |
| No log        | 6.0   | 42   | 0.7266          | 0.785    | 0.3157     | 1.6428 | 0.785    | 0.7648   | 0.2063 | 0.0758 |
| No log        | 7.0   | 49   | 0.7662          | 0.77     | 0.3428     | 1.4695 | 0.7700   | 0.7666   | 0.1871 | 0.0998 |
| No log        | 8.0   | 56   | 0.7824          | 0.77     | 0.3365     | 1.5995 | 0.7700   | 0.7346   | 0.1840 | 0.0980 |
| No log        | 9.0   | 63   | 0.7245          | 0.805    | 0.3102     | 1.2669 | 0.805    | 0.8012   | 0.1789 | 0.0855 |
| No log        | 10.0  | 70   | 0.6787          | 0.8      | 0.2944     | 1.3351 | 0.8000   | 0.7754   | 0.1578 | 0.0665 |
| No log        | 11.0  | 77   | 0.6497          | 0.805    | 0.2870     | 1.3980 | 0.805    | 0.8029   | 0.1743 | 0.0709 |
| No log        | 12.0  | 84   | 0.6353          | 0.82     | 0.2747     | 1.3397 | 0.82     | 0.8085   | 0.1670 | 0.0687 |
| No log        | 13.0  | 91   | 0.7204          | 0.79     | 0.3163     | 1.4500 | 0.79     | 0.7945   | 0.1660 | 0.0782 |
| No log        | 14.0  | 98   | 0.6632          | 0.825    | 0.2714     | 1.5658 | 0.825    | 0.8110   | 0.1827 | 0.0726 |
| No log        | 15.0  | 105  | 0.6417          | 0.8      | 0.2840     | 1.3774 | 0.8000   | 0.7984   | 0.1618 | 0.0703 |
| No log        | 16.0  | 112  | 0.5899          | 0.825    | 0.2687     | 1.0331 | 0.825    | 0.8220   | 0.1569 | 0.0603 |
| No log        | 17.0  | 119  | 0.5924          | 0.83     | 0.2508     | 1.4167 | 0.83     | 0.8182   | 0.1414 | 0.0549 |
| No log        | 18.0  | 126  | 0.5885          | 0.825    | 0.2608     | 1.1991 | 0.825    | 0.8174   | 0.1677 | 0.0607 |
| No log        | 19.0  | 133  | 0.5898          | 0.82     | 0.2634     | 1.2879 | 0.82     | 0.8145   | 0.1563 | 0.0610 |
| No log        | 20.0  | 140  | 0.5509          | 0.825    | 0.2439     | 1.1130 | 0.825    | 0.8127   | 0.1532 | 0.0475 |
| No log        | 21.0  | 147  | 0.5719          | 0.82     | 0.2585     | 1.1331 | 0.82     | 0.8101   | 0.1640 | 0.0490 |
| No log        | 22.0  | 154  | 0.5650          | 0.85     | 0.2449     | 1.2095 | 0.85     | 0.8429   | 0.1622 | 0.0595 |
| No log        | 23.0  | 161  | 0.5538          | 0.83     | 0.2492     | 1.0979 | 0.83     | 0.8227   | 0.1759 | 0.0515 |
| No log        | 24.0  | 168  | 0.5514          | 0.84     | 0.2396     | 1.1748 | 0.8400   | 0.8360   | 0.1449 | 0.0479 |
| No log        | 25.0  | 175  | 0.5549          | 0.815    | 0.2497     | 1.0876 | 0.815    | 0.8080   | 0.1668 | 0.0502 |
| No log        | 26.0  | 182  | 0.5469          | 0.84     | 0.2397     | 1.1651 | 0.8400   | 0.8317   | 0.1560 | 0.0471 |
| No log        | 27.0  | 189  | 0.5584          | 0.84     | 0.2508     | 1.0605 | 0.8400   | 0.8253   | 0.1801 | 0.0486 |
| No log        | 28.0  | 196  | 0.5395          | 0.845    | 0.2371     | 1.0749 | 0.845    | 0.8302   | 0.1448 | 0.0438 |
| No log        | 29.0  | 203  | 0.5478          | 0.84     | 0.2436     | 1.0599 | 0.8400   | 0.8271   | 0.1556 | 0.0470 |
| No log        | 30.0  | 210  | 0.5432          | 0.835    | 0.2402     | 1.0595 | 0.835    | 0.8206   | 0.1613 | 0.0457 |
| No log        | 31.0  | 217  | 0.5454          | 0.83     | 0.2422     | 1.0518 | 0.83     | 0.8176   | 0.1556 | 0.0462 |
| No log        | 32.0  | 224  | 0.5456          | 0.83     | 0.2415     | 1.0500 | 0.83     | 0.8176   | 0.1555 | 0.0461 |
| No log        | 33.0  | 231  | 0.5471          | 0.835    | 0.2430     | 1.0492 | 0.835    | 0.8233   | 0.1616 | 0.0466 |
| No log        | 34.0  | 238  | 0.5456          | 0.83     | 0.2424     | 1.0495 | 0.83     | 0.8176   | 0.1636 | 0.0467 |
| No log        | 35.0  | 245  | 0.5482          | 0.835    | 0.2434     | 1.0438 | 0.835    | 0.8239   | 0.1717 | 0.0474 |
| No log        | 36.0  | 252  | 0.5462          | 0.835    | 0.2425     | 1.0461 | 0.835    | 0.8239   | 0.1507 | 0.0462 |
| No log        | 37.0  | 259  | 0.5488          | 0.83     | 0.2435     | 1.0468 | 0.83     | 0.8176   | 0.1377 | 0.0471 |
| No log        | 38.0  | 266  | 0.5461          | 0.84     | 0.2420     | 1.0389 | 0.8400   | 0.8296   | 0.1379 | 0.0458 |
| No log        | 39.0  | 273  | 0.5458          | 0.84     | 0.2423     | 1.0387 | 0.8400   | 0.8296   | 0.1545 | 0.0457 |
| No log        | 40.0  | 280  | 0.5483          | 0.835    | 0.2435     | 1.0382 | 0.835    | 0.8233   | 0.1343 | 0.0466 |
| No log        | 41.0  | 287  | 0.5475          | 0.835    | 0.2430     | 1.0378 | 0.835    | 0.8233   | 0.1408 | 0.0454 |
| No log        | 42.0  | 294  | 0.5463          | 0.835    | 0.2424     | 1.0368 | 0.835    | 0.8233   | 0.1463 | 0.0454 |
| No log        | 43.0  | 301  | 0.5467          | 0.835    | 0.2428     | 1.0335 | 0.835    | 0.8233   | 0.1453 | 0.0458 |
| No log        | 44.0  | 308  | 0.5470          | 0.835    | 0.2429     | 1.0331 | 0.835    | 0.8233   | 0.1597 | 0.0459 |
| No log        | 45.0  | 315  | 0.5469          | 0.835    | 0.2426     | 1.0336 | 0.835    | 0.8233   | 0.1487 | 0.0459 |
| No log        | 46.0  | 322  | 0.5473          | 0.835    | 0.2431     | 1.0322 | 0.835    | 0.8233   | 0.1486 | 0.0465 |
| No log        | 47.0  | 329  | 0.5464          | 0.84     | 0.2425     | 1.0324 | 0.8400   | 0.8329   | 0.1443 | 0.0454 |
| No log        | 48.0  | 336  | 0.5462          | 0.835    | 0.2426     | 1.0298 | 0.835    | 0.8233   | 0.1527 | 0.0454 |
| No log        | 49.0  | 343  | 0.5471          | 0.835    | 0.2427     | 1.0305 | 0.835    | 0.8233   | 0.1619 | 0.0456 |
| No log        | 50.0  | 350  | 0.5479          | 0.84     | 0.2433     | 1.0304 | 0.8400   | 0.8329   | 0.1549 | 0.0457 |
| No log        | 51.0  | 357  | 0.5471          | 0.835    | 0.2427     | 1.0296 | 0.835    | 0.8233   | 0.1607 | 0.0458 |
| No log        | 52.0  | 364  | 0.5475          | 0.835    | 0.2431     | 1.0282 | 0.835    | 0.8233   | 0.1596 | 0.0458 |
| No log        | 53.0  | 371  | 0.5474          | 0.84     | 0.2428     | 1.0294 | 0.8400   | 0.8329   | 0.1603 | 0.0457 |
| No log        | 54.0  | 378  | 0.5482          | 0.835    | 0.2436     | 1.0263 | 0.835    | 0.8233   | 0.1460 | 0.0461 |
| No log        | 55.0  | 385  | 0.5468          | 0.84     | 0.2424     | 1.0264 | 0.8400   | 0.8329   | 0.1491 | 0.0454 |
| No log        | 56.0  | 392  | 0.5479          | 0.84     | 0.2432     | 1.0263 | 0.8400   | 0.8329   | 0.1594 | 0.0452 |
| No log        | 57.0  | 399  | 0.5467          | 0.84     | 0.2426     | 1.0259 | 0.8400   | 0.8329   | 0.1476 | 0.0454 |
| No log        | 58.0  | 406  | 0.5484          | 0.835    | 0.2434     | 1.0237 | 0.835    | 0.8233   | 0.1379 | 0.0463 |
| No log        | 59.0  | 413  | 0.5473          | 0.835    | 0.2429     | 1.0245 | 0.835    | 0.8233   | 0.1521 | 0.0458 |
| No log        | 60.0  | 420  | 0.5475          | 0.835    | 0.2430     | 1.0240 | 0.835    | 0.8233   | 0.1523 | 0.0458 |
| No log        | 61.0  | 427  | 0.5475          | 0.835    | 0.2430     | 1.0239 | 0.835    | 0.8233   | 0.1438 | 0.0461 |
| No log        | 62.0  | 434  | 0.5476          | 0.835    | 0.2430     | 1.0227 | 0.835    | 0.8233   | 0.1522 | 0.0461 |
| No log        | 63.0  | 441  | 0.5478          | 0.835    | 0.2430     | 1.0235 | 0.835    | 0.8233   | 0.1520 | 0.0460 |
| No log        | 64.0  | 448  | 0.5478          | 0.84     | 0.2432     | 1.0215 | 0.8400   | 0.8329   | 0.1576 | 0.0458 |
| No log        | 65.0  | 455  | 0.5478          | 0.835    | 0.2430     | 1.0229 | 0.835    | 0.8233   | 0.1592 | 0.0461 |
| No log        | 66.0  | 462  | 0.5481          | 0.84     | 0.2433     | 1.0219 | 0.8400   | 0.8329   | 0.1582 | 0.0459 |
| No log        | 67.0  | 469  | 0.5482          | 0.84     | 0.2434     | 1.0214 | 0.8400   | 0.8329   | 0.1665 | 0.0456 |
| No log        | 68.0  | 476  | 0.5482          | 0.835    | 0.2433     | 1.0209 | 0.835    | 0.8233   | 0.1445 | 0.0463 |
| No log        | 69.0  | 483  | 0.5484          | 0.84     | 0.2435     | 1.0210 | 0.8400   | 0.8329   | 0.1578 | 0.0458 |
| No log        | 70.0  | 490  | 0.5479          | 0.84     | 0.2433     | 1.0206 | 0.8400   | 0.8329   | 0.1662 | 0.0457 |
| No log        | 71.0  | 497  | 0.5486          | 0.84     | 0.2435     | 1.0210 | 0.8400   | 0.8329   | 0.1401 | 0.0460 |
| 0.1783        | 72.0  | 504  | 0.5489          | 0.84     | 0.2437     | 1.0204 | 0.8400   | 0.8329   | 0.1581 | 0.0460 |
| 0.1783        | 73.0  | 511  | 0.5483          | 0.835    | 0.2435     | 1.0194 | 0.835    | 0.8233   | 0.1712 | 0.0460 |
| 0.1783        | 74.0  | 518  | 0.5489          | 0.84     | 0.2437     | 1.0198 | 0.8400   | 0.8329   | 0.1668 | 0.0461 |
| 0.1783        | 75.0  | 525  | 0.5486          | 0.84     | 0.2435     | 1.0194 | 0.8400   | 0.8329   | 0.1666 | 0.0458 |
| 0.1783        | 76.0  | 532  | 0.5487          | 0.84     | 0.2436     | 1.0194 | 0.8400   | 0.8329   | 0.1710 | 0.0458 |
| 0.1783        | 77.0  | 539  | 0.5485          | 0.84     | 0.2434     | 1.0191 | 0.8400   | 0.8329   | 0.1392 | 0.0459 |
| 0.1783        | 78.0  | 546  | 0.5486          | 0.84     | 0.2435     | 1.0191 | 0.8400   | 0.8329   | 0.1579 | 0.0458 |
| 0.1783        | 79.0  | 553  | 0.5486          | 0.84     | 0.2436     | 1.0190 | 0.8400   | 0.8329   | 0.1582 | 0.0459 |
| 0.1783        | 80.0  | 560  | 0.5492          | 0.84     | 0.2438     | 1.0194 | 0.8400   | 0.8329   | 0.1581 | 0.0461 |
| 0.1783        | 81.0  | 567  | 0.5486          | 0.84     | 0.2435     | 1.0189 | 0.8400   | 0.8329   | 0.1581 | 0.0460 |
| 0.1783        | 82.0  | 574  | 0.5489          | 0.84     | 0.2437     | 1.0185 | 0.8400   | 0.8329   | 0.1581 | 0.0460 |
| 0.1783        | 83.0  | 581  | 0.5491          | 0.84     | 0.2438     | 1.0188 | 0.8400   | 0.8329   | 0.1574 | 0.0460 |
| 0.1783        | 84.0  | 588  | 0.5490          | 0.84     | 0.2438     | 1.0183 | 0.8400   | 0.8329   | 0.1581 | 0.0461 |
| 0.1783        | 85.0  | 595  | 0.5491          | 0.84     | 0.2438     | 1.0184 | 0.8400   | 0.8329   | 0.1485 | 0.0461 |
| 0.1783        | 86.0  | 602  | 0.5492          | 0.84     | 0.2439     | 1.0177 | 0.8400   | 0.8329   | 0.1584 | 0.0461 |
| 0.1783        | 87.0  | 609  | 0.5491          | 0.84     | 0.2438     | 1.0180 | 0.8400   | 0.8329   | 0.1582 | 0.0461 |
| 0.1783        | 88.0  | 616  | 0.5493          | 0.84     | 0.2438     | 1.0180 | 0.8400   | 0.8329   | 0.1584 | 0.0462 |
| 0.1783        | 89.0  | 623  | 0.5493          | 0.84     | 0.2438     | 1.0178 | 0.8400   | 0.8329   | 0.1584 | 0.0462 |
| 0.1783        | 90.0  | 630  | 0.5490          | 0.84     | 0.2437     | 1.0180 | 0.8400   | 0.8329   | 0.1584 | 0.0461 |
| 0.1783        | 91.0  | 637  | 0.5491          | 0.84     | 0.2438     | 1.0177 | 0.8400   | 0.8329   | 0.1581 | 0.0459 |
| 0.1783        | 92.0  | 644  | 0.5492          | 0.84     | 0.2438     | 1.0177 | 0.8400   | 0.8329   | 0.1582 | 0.0461 |
| 0.1783        | 93.0  | 651  | 0.5491          | 0.84     | 0.2437     | 1.0180 | 0.8400   | 0.8329   | 0.1581 | 0.0460 |
| 0.1783        | 94.0  | 658  | 0.5491          | 0.84     | 0.2438     | 1.0180 | 0.8400   | 0.8329   | 0.1584 | 0.0461 |
| 0.1783        | 95.0  | 665  | 0.5492          | 0.84     | 0.2438     | 1.0177 | 0.8400   | 0.8329   | 0.1582 | 0.0461 |
| 0.1783        | 96.0  | 672  | 0.5492          | 0.84     | 0.2438     | 1.0176 | 0.8400   | 0.8329   | 0.1582 | 0.0461 |
| 0.1783        | 97.0  | 679  | 0.5492          | 0.84     | 0.2438     | 1.0175 | 0.8400   | 0.8329   | 0.1581 | 0.0460 |
| 0.1783        | 98.0  | 686  | 0.5491          | 0.84     | 0.2438     | 1.0175 | 0.8400   | 0.8329   | 0.1582 | 0.0461 |
| 0.1783        | 99.0  | 693  | 0.5491          | 0.84     | 0.2438     | 1.0175 | 0.8400   | 0.8329   | 0.1580 | 0.0460 |
| 0.1783        | 100.0 | 700  | 0.5492          | 0.84     | 0.2438     | 1.0175 | 0.8400   | 0.8329   | 0.1581 | 0.0460 |


### Framework versions

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

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