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# dit-base_tobacco-small_tobacco3482_kd_NKD_t1.0_g1.5

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: 3.1084
- Accuracy: 0.825
- Brier Loss: 0.2907
- Nll: 1.2013
- F1 Micro: 0.825
- F1 Macro: 0.8171
- Ece: 0.1500
- Aurc: 0.0459

## 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    | 5.5631          | 0.135    | 0.9164     | 5.3726 | 0.135    | 0.1126   | 0.2543 | 0.8397 |
| No log        | 2.0   | 14   | 4.9048          | 0.35     | 0.8238     | 3.0911 | 0.35     | 0.2637   | 0.3348 | 0.6709 |
| No log        | 3.0   | 21   | 4.1439          | 0.49     | 0.6650     | 1.8580 | 0.49     | 0.4532   | 0.2990 | 0.2902 |
| No log        | 4.0   | 28   | 3.5518          | 0.66     | 0.4867     | 1.6397 | 0.66     | 0.6303   | 0.2902 | 0.1489 |
| No log        | 5.0   | 35   | 3.3371          | 0.755    | 0.3981     | 1.6213 | 0.755    | 0.7261   | 0.2670 | 0.0984 |
| No log        | 6.0   | 42   | 3.4978          | 0.69     | 0.4211     | 1.5668 | 0.69     | 0.6792   | 0.2240 | 0.1170 |
| No log        | 7.0   | 49   | 3.0945          | 0.795    | 0.3094     | 1.5507 | 0.795    | 0.7653   | 0.1765 | 0.0622 |
| No log        | 8.0   | 56   | 3.0882          | 0.775    | 0.3056     | 1.5470 | 0.775    | 0.7500   | 0.1826 | 0.0634 |
| No log        | 9.0   | 63   | 3.1861          | 0.745    | 0.3331     | 1.6432 | 0.745    | 0.7362   | 0.1822 | 0.0754 |
| No log        | 10.0  | 70   | 2.9849          | 0.81     | 0.2789     | 1.5850 | 0.81     | 0.7802   | 0.1559 | 0.0548 |
| No log        | 11.0  | 77   | 3.0131          | 0.795    | 0.3012     | 1.4820 | 0.795    | 0.7720   | 0.1627 | 0.0567 |
| No log        | 12.0  | 84   | 2.9054          | 0.795    | 0.2734     | 1.4141 | 0.795    | 0.7843   | 0.1501 | 0.0535 |
| No log        | 13.0  | 91   | 2.9704          | 0.815    | 0.2720     | 1.4241 | 0.815    | 0.8144   | 0.1584 | 0.0536 |
| No log        | 14.0  | 98   | 2.9393          | 0.815    | 0.2627     | 1.4735 | 0.815    | 0.7902   | 0.1582 | 0.0504 |
| No log        | 15.0  | 105  | 3.0346          | 0.805    | 0.2963     | 1.3649 | 0.805    | 0.7973   | 0.1617 | 0.0564 |
| No log        | 16.0  | 112  | 2.9648          | 0.79     | 0.2839     | 1.6270 | 0.79     | 0.7722   | 0.1418 | 0.0525 |
| No log        | 17.0  | 119  | 3.0458          | 0.82     | 0.2960     | 1.3476 | 0.82     | 0.8048   | 0.1575 | 0.0622 |
| No log        | 18.0  | 126  | 2.8571          | 0.82     | 0.2754     | 1.3958 | 0.82     | 0.8081   | 0.1482 | 0.0493 |
| No log        | 19.0  | 133  | 2.9429          | 0.775    | 0.2971     | 1.4302 | 0.775    | 0.7617   | 0.1616 | 0.0575 |
| No log        | 20.0  | 140  | 2.8274          | 0.825    | 0.2698     | 1.3759 | 0.825    | 0.8081   | 0.1520 | 0.0449 |
| No log        | 21.0  | 147  | 2.8769          | 0.81     | 0.2713     | 1.3604 | 0.81     | 0.8086   | 0.1390 | 0.0466 |
| No log        | 22.0  | 154  | 2.8787          | 0.805    | 0.2694     | 1.3016 | 0.805    | 0.7975   | 0.1522 | 0.0435 |
| No log        | 23.0  | 161  | 2.8771          | 0.825    | 0.2646     | 1.4753 | 0.825    | 0.8215   | 0.1414 | 0.0485 |
| No log        | 24.0  | 168  | 2.8950          | 0.805    | 0.2774     | 1.2783 | 0.805    | 0.7754   | 0.1406 | 0.0495 |
| No log        | 25.0  | 175  | 2.9780          | 0.825    | 0.2829     | 1.3207 | 0.825    | 0.8332   | 0.1402 | 0.0496 |
| No log        | 26.0  | 182  | 2.8906          | 0.82     | 0.2653     | 1.3097 | 0.82     | 0.8007   | 0.1380 | 0.0454 |
| No log        | 27.0  | 189  | 2.9385          | 0.82     | 0.2778     | 1.3039 | 0.82     | 0.8211   | 0.1489 | 0.0469 |
| No log        | 28.0  | 196  | 2.8644          | 0.83     | 0.2618     | 1.4004 | 0.83     | 0.8325   | 0.1358 | 0.0494 |
| No log        | 29.0  | 203  | 2.8761          | 0.82     | 0.2720     | 1.2220 | 0.82     | 0.8192   | 0.1411 | 0.0463 |
| No log        | 30.0  | 210  | 2.8594          | 0.83     | 0.2620     | 1.3323 | 0.83     | 0.8130   | 0.1257 | 0.0448 |
| No log        | 31.0  | 217  | 2.8946          | 0.825    | 0.2658     | 1.3388 | 0.825    | 0.8236   | 0.1322 | 0.0427 |
| No log        | 32.0  | 224  | 2.8698          | 0.825    | 0.2712     | 1.3141 | 0.825    | 0.8107   | 0.1467 | 0.0473 |
| No log        | 33.0  | 231  | 2.8106          | 0.83     | 0.2563     | 1.3750 | 0.83     | 0.8178   | 0.1126 | 0.0422 |
| No log        | 34.0  | 238  | 2.9752          | 0.8      | 0.2881     | 1.3007 | 0.8000   | 0.7902   | 0.1522 | 0.0499 |
| No log        | 35.0  | 245  | 2.8919          | 0.815    | 0.2886     | 1.3057 | 0.815    | 0.8149   | 0.1472 | 0.0468 |
| No log        | 36.0  | 252  | 2.8863          | 0.81     | 0.2833     | 1.1973 | 0.81     | 0.8006   | 0.1453 | 0.0458 |
| No log        | 37.0  | 259  | 2.8283          | 0.845    | 0.2685     | 1.2743 | 0.845    | 0.8438   | 0.1481 | 0.0451 |
| No log        | 38.0  | 266  | 2.9174          | 0.815    | 0.2825     | 1.2658 | 0.815    | 0.7965   | 0.1408 | 0.0530 |
| No log        | 39.0  | 273  | 2.8837          | 0.82     | 0.2775     | 1.2946 | 0.82     | 0.8050   | 0.1440 | 0.0472 |
| No log        | 40.0  | 280  | 2.8585          | 0.835    | 0.2654     | 1.2830 | 0.835    | 0.8169   | 0.1450 | 0.0467 |
| No log        | 41.0  | 287  | 2.9323          | 0.82     | 0.2809     | 1.2833 | 0.82     | 0.8085   | 0.1342 | 0.0490 |
| No log        | 42.0  | 294  | 2.9525          | 0.82     | 0.2847     | 1.2331 | 0.82     | 0.8055   | 0.1352 | 0.0481 |
| No log        | 43.0  | 301  | 2.9005          | 0.83     | 0.2819     | 1.2643 | 0.83     | 0.8225   | 0.1548 | 0.0482 |
| No log        | 44.0  | 308  | 2.8388          | 0.83     | 0.2634     | 1.2662 | 0.83     | 0.8152   | 0.1286 | 0.0460 |
| No log        | 45.0  | 315  | 2.8962          | 0.82     | 0.2752     | 1.3291 | 0.82     | 0.8127   | 0.1442 | 0.0496 |
| No log        | 46.0  | 322  | 2.9479          | 0.815    | 0.2883     | 1.2433 | 0.815    | 0.7968   | 0.1540 | 0.0523 |
| No log        | 47.0  | 329  | 2.8795          | 0.825    | 0.2737     | 1.2477 | 0.825    | 0.8260   | 0.1295 | 0.0447 |
| No log        | 48.0  | 336  | 2.9872          | 0.815    | 0.2992     | 1.2556 | 0.815    | 0.8029   | 0.1379 | 0.0510 |
| No log        | 49.0  | 343  | 2.8156          | 0.84     | 0.2536     | 1.2715 | 0.8400   | 0.8263   | 0.1240 | 0.0422 |
| No log        | 50.0  | 350  | 2.9534          | 0.81     | 0.2924     | 1.3383 | 0.81     | 0.7937   | 0.1471 | 0.0478 |
| No log        | 51.0  | 357  | 2.8604          | 0.855    | 0.2549     | 1.2566 | 0.855    | 0.8547   | 0.1318 | 0.0411 |
| No log        | 52.0  | 364  | 2.9769          | 0.825    | 0.2828     | 1.2325 | 0.825    | 0.8160   | 0.1407 | 0.0480 |
| No log        | 53.0  | 371  | 2.8717          | 0.84     | 0.2635     | 1.2511 | 0.8400   | 0.8342   | 0.1254 | 0.0434 |
| No log        | 54.0  | 378  | 2.9313          | 0.825    | 0.2704     | 1.2676 | 0.825    | 0.8159   | 0.1310 | 0.0477 |
| No log        | 55.0  | 385  | 2.8552          | 0.82     | 0.2638     | 1.2417 | 0.82     | 0.8031   | 0.1490 | 0.0435 |
| No log        | 56.0  | 392  | 2.9680          | 0.845    | 0.2729     | 1.2530 | 0.845    | 0.8414   | 0.1349 | 0.0452 |
| No log        | 57.0  | 399  | 2.9440          | 0.83     | 0.2796     | 1.2344 | 0.83     | 0.8222   | 0.1367 | 0.0450 |
| No log        | 58.0  | 406  | 3.0577          | 0.815    | 0.2913     | 1.2232 | 0.815    | 0.8068   | 0.1447 | 0.0488 |
| No log        | 59.0  | 413  | 2.8861          | 0.835    | 0.2643     | 1.2618 | 0.835    | 0.8280   | 0.1354 | 0.0422 |
| No log        | 60.0  | 420  | 3.0007          | 0.825    | 0.2822     | 1.2352 | 0.825    | 0.8136   | 0.1342 | 0.0449 |
| No log        | 61.0  | 427  | 2.9368          | 0.835    | 0.2746     | 1.2437 | 0.835    | 0.8258   | 0.1402 | 0.0437 |
| No log        | 62.0  | 434  | 2.9202          | 0.835    | 0.2709     | 1.2281 | 0.835    | 0.8258   | 0.1435 | 0.0435 |
| No log        | 63.0  | 441  | 2.9720          | 0.835    | 0.2768     | 1.2129 | 0.835    | 0.8354   | 0.1444 | 0.0460 |
| No log        | 64.0  | 448  | 2.9993          | 0.835    | 0.2815     | 1.2250 | 0.835    | 0.8245   | 0.1526 | 0.0451 |
| No log        | 65.0  | 455  | 2.9628          | 0.83     | 0.2725     | 1.2477 | 0.83     | 0.8190   | 0.1405 | 0.0439 |
| No log        | 66.0  | 462  | 3.0418          | 0.825    | 0.2863     | 1.2244 | 0.825    | 0.8142   | 0.1447 | 0.0473 |
| No log        | 67.0  | 469  | 3.0196          | 0.83     | 0.2797     | 1.2317 | 0.83     | 0.8223   | 0.1450 | 0.0463 |
| No log        | 68.0  | 476  | 3.0227          | 0.835    | 0.2834     | 1.2362 | 0.835    | 0.8270   | 0.1416 | 0.0446 |
| No log        | 69.0  | 483  | 3.0343          | 0.835    | 0.2837     | 1.2377 | 0.835    | 0.8310   | 0.1423 | 0.0455 |
| No log        | 70.0  | 490  | 2.9982          | 0.835    | 0.2755     | 1.2247 | 0.835    | 0.8245   | 0.1306 | 0.0443 |
| No log        | 71.0  | 497  | 3.0230          | 0.825    | 0.2860     | 1.2302 | 0.825    | 0.8171   | 0.1376 | 0.0464 |
| 2.5595        | 72.0  | 504  | 3.0254          | 0.83     | 0.2843     | 1.2190 | 0.83     | 0.8222   | 0.1386 | 0.0463 |
| 2.5595        | 73.0  | 511  | 3.0295          | 0.825    | 0.2851     | 1.2206 | 0.825    | 0.8192   | 0.1417 | 0.0462 |
| 2.5595        | 74.0  | 518  | 3.0381          | 0.83     | 0.2845     | 1.2130 | 0.83     | 0.8243   | 0.1423 | 0.0457 |
| 2.5595        | 75.0  | 525  | 3.0258          | 0.825    | 0.2837     | 1.2210 | 0.825    | 0.8171   | 0.1431 | 0.0460 |
| 2.5595        | 76.0  | 532  | 3.0694          | 0.825    | 0.2886     | 1.2091 | 0.825    | 0.8171   | 0.1533 | 0.0476 |
| 2.5595        | 77.0  | 539  | 3.0924          | 0.825    | 0.2939     | 1.2130 | 0.825    | 0.8171   | 0.1515 | 0.0473 |
| 2.5595        | 78.0  | 546  | 3.0956          | 0.82     | 0.2921     | 1.2081 | 0.82     | 0.8140   | 0.1539 | 0.0482 |
| 2.5595        | 79.0  | 553  | 3.0859          | 0.825    | 0.2884     | 1.2109 | 0.825    | 0.8220   | 0.1480 | 0.0468 |
| 2.5595        | 80.0  | 560  | 3.0740          | 0.825    | 0.2894     | 1.2081 | 0.825    | 0.8136   | 0.1399 | 0.0459 |
| 2.5595        | 81.0  | 567  | 3.0776          | 0.825    | 0.2901     | 1.2066 | 0.825    | 0.8171   | 0.1502 | 0.0462 |
| 2.5595        | 82.0  | 574  | 3.0736          | 0.83     | 0.2869     | 1.2100 | 0.83     | 0.8251   | 0.1405 | 0.0462 |
| 2.5595        | 83.0  | 581  | 3.0943          | 0.825    | 0.2919     | 1.2065 | 0.825    | 0.8171   | 0.1503 | 0.0464 |
| 2.5595        | 84.0  | 588  | 3.0857          | 0.825    | 0.2908     | 1.2080 | 0.825    | 0.8171   | 0.1456 | 0.0461 |
| 2.5595        | 85.0  | 595  | 3.0874          | 0.825    | 0.2890     | 1.2063 | 0.825    | 0.8171   | 0.1457 | 0.0461 |
| 2.5595        | 86.0  | 602  | 3.0863          | 0.825    | 0.2880     | 1.2069 | 0.825    | 0.8171   | 0.1453 | 0.0459 |
| 2.5595        | 87.0  | 609  | 3.0844          | 0.825    | 0.2882     | 1.2059 | 0.825    | 0.8171   | 0.1457 | 0.0456 |
| 2.5595        | 88.0  | 616  | 3.1011          | 0.825    | 0.2909     | 1.2034 | 0.825    | 0.8171   | 0.1557 | 0.0462 |
| 2.5595        | 89.0  | 623  | 3.1033          | 0.825    | 0.2912     | 1.2033 | 0.825    | 0.8171   | 0.1528 | 0.0463 |
| 2.5595        | 90.0  | 630  | 3.1004          | 0.825    | 0.2903     | 1.2029 | 0.825    | 0.8171   | 0.1541 | 0.0461 |
| 2.5595        | 91.0  | 637  | 3.0998          | 0.825    | 0.2900     | 1.2033 | 0.825    | 0.8171   | 0.1499 | 0.0459 |
| 2.5595        | 92.0  | 644  | 3.1039          | 0.825    | 0.2904     | 1.2023 | 0.825    | 0.8171   | 0.1535 | 0.0460 |
| 2.5595        | 93.0  | 651  | 3.1058          | 0.825    | 0.2906     | 1.2020 | 0.825    | 0.8171   | 0.1498 | 0.0460 |
| 2.5595        | 94.0  | 658  | 3.1057          | 0.825    | 0.2906     | 1.2022 | 0.825    | 0.8171   | 0.1504 | 0.0459 |
| 2.5595        | 95.0  | 665  | 3.1066          | 0.825    | 0.2908     | 1.2018 | 0.825    | 0.8171   | 0.1509 | 0.0460 |
| 2.5595        | 96.0  | 672  | 3.1069          | 0.825    | 0.2906     | 1.2018 | 0.825    | 0.8171   | 0.1506 | 0.0459 |
| 2.5595        | 97.0  | 679  | 3.1079          | 0.825    | 0.2906     | 1.2013 | 0.825    | 0.8171   | 0.1497 | 0.0459 |
| 2.5595        | 98.0  | 686  | 3.1085          | 0.825    | 0.2907     | 1.2013 | 0.825    | 0.8171   | 0.1500 | 0.0459 |
| 2.5595        | 99.0  | 693  | 3.1083          | 0.825    | 0.2907     | 1.2013 | 0.825    | 0.8171   | 0.1499 | 0.0460 |
| 2.5595        | 100.0 | 700  | 3.1084          | 0.825    | 0.2907     | 1.2013 | 0.825    | 0.8171   | 0.1500 | 0.0459 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.2.0.dev20231112+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1

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