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# 39-tiny_tobacco3482_kd_NKD_t1.0_g1.5

This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0812
- Accuracy: 0.835
- Brier Loss: 0.2748
- Nll: 1.2215
- F1 Micro: 0.835
- F1 Macro: 0.8213
- Ece: 0.1443
- Aurc: 0.0548

## 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    | 5.1938          | 0.095    | 1.0201     | 8.6917 | 0.095    | 0.0778   | 0.3242 | 0.9009 |
| No log        | 2.0   | 14   | 4.3129          | 0.13     | 0.9109     | 8.2379 | 0.13     | 0.0910   | 0.2544 | 0.8466 |
| No log        | 3.0   | 21   | 3.9690          | 0.225    | 0.8600     | 6.8547 | 0.225    | 0.1401   | 0.2626 | 0.6398 |
| No log        | 4.0   | 28   | 3.8651          | 0.375    | 0.7978     | 5.6610 | 0.375    | 0.2964   | 0.3198 | 0.4692 |
| No log        | 5.0   | 35   | 3.8115          | 0.465    | 0.7222     | 3.4731 | 0.465    | 0.3435   | 0.3007 | 0.3464 |
| No log        | 6.0   | 42   | 3.7351          | 0.575    | 0.6691     | 2.6672 | 0.575    | 0.4736   | 0.3509 | 0.2284 |
| No log        | 7.0   | 49   | 3.6913          | 0.62     | 0.6152     | 2.6026 | 0.62     | 0.4700   | 0.3255 | 0.1827 |
| No log        | 8.0   | 56   | 3.6687          | 0.68     | 0.5820     | 1.9726 | 0.68     | 0.5400   | 0.3735 | 0.1472 |
| No log        | 9.0   | 63   | 3.6771          | 0.645    | 0.5464     | 1.9938 | 0.645    | 0.5211   | 0.3013 | 0.1595 |
| No log        | 10.0  | 70   | 3.6759          | 0.685    | 0.4884     | 1.9735 | 0.685    | 0.5678   | 0.2672 | 0.1278 |
| No log        | 11.0  | 77   | 3.6587          | 0.71     | 0.4696     | 2.0625 | 0.7100   | 0.6080   | 0.2956 | 0.1115 |
| No log        | 12.0  | 84   | 3.6317          | 0.72     | 0.4121     | 2.2088 | 0.72     | 0.6137   | 0.2372 | 0.0925 |
| No log        | 13.0  | 91   | 3.6799          | 0.745    | 0.4167     | 2.0639 | 0.745    | 0.6372   | 0.2480 | 0.0978 |
| No log        | 14.0  | 98   | 3.6191          | 0.745    | 0.3850     | 1.9955 | 0.745    | 0.6384   | 0.2363 | 0.0728 |
| No log        | 15.0  | 105  | 3.6813          | 0.715    | 0.3814     | 2.0731 | 0.715    | 0.6026   | 0.1995 | 0.0918 |
| No log        | 16.0  | 112  | 3.6394          | 0.75     | 0.3644     | 1.9093 | 0.75     | 0.6492   | 0.1904 | 0.0777 |
| No log        | 17.0  | 119  | 3.7661          | 0.735    | 0.3786     | 1.5402 | 0.735    | 0.6352   | 0.2032 | 0.0982 |
| No log        | 18.0  | 126  | 3.6849          | 0.79     | 0.3369     | 1.8761 | 0.79     | 0.6965   | 0.1954 | 0.0708 |
| No log        | 19.0  | 133  | 3.6776          | 0.775    | 0.3358     | 1.4981 | 0.775    | 0.7021   | 0.1919 | 0.0744 |
| No log        | 20.0  | 140  | 3.6814          | 0.755    | 0.3546     | 1.5225 | 0.755    | 0.6873   | 0.1840 | 0.0794 |
| No log        | 21.0  | 147  | 3.6948          | 0.775    | 0.3267     | 1.4776 | 0.775    | 0.7052   | 0.1630 | 0.0710 |
| No log        | 22.0  | 154  | 3.7210          | 0.795    | 0.3191     | 1.3634 | 0.795    | 0.7383   | 0.1737 | 0.0705 |
| No log        | 23.0  | 161  | 3.7231          | 0.805    | 0.3062     | 1.3141 | 0.805    | 0.7679   | 0.1629 | 0.0665 |
| No log        | 24.0  | 168  | 3.7322          | 0.815    | 0.2903     | 1.2030 | 0.815    | 0.7771   | 0.1789 | 0.0609 |
| No log        | 25.0  | 175  | 3.7237          | 0.815    | 0.3020     | 1.1721 | 0.815    | 0.7947   | 0.1759 | 0.0603 |
| No log        | 26.0  | 182  | 3.8243          | 0.8      | 0.3138     | 1.3356 | 0.8000   | 0.7699   | 0.1735 | 0.0720 |
| No log        | 27.0  | 189  | 3.7675          | 0.81     | 0.3038     | 1.2662 | 0.81     | 0.7853   | 0.1891 | 0.0699 |
| No log        | 28.0  | 196  | 3.8006          | 0.81     | 0.2992     | 1.3422 | 0.81     | 0.7805   | 0.1709 | 0.0698 |
| No log        | 29.0  | 203  | 3.7783          | 0.815    | 0.3009     | 1.3322 | 0.815    | 0.7959   | 0.1729 | 0.0669 |
| No log        | 30.0  | 210  | 3.7547          | 0.835    | 0.2775     | 0.9761 | 0.835    | 0.8228   | 0.1751 | 0.0566 |
| No log        | 31.0  | 217  | 3.7810          | 0.82     | 0.2905     | 1.1472 | 0.82     | 0.7953   | 0.1670 | 0.0631 |
| No log        | 32.0  | 224  | 3.7935          | 0.82     | 0.2732     | 1.2016 | 0.82     | 0.7967   | 0.1429 | 0.0590 |
| No log        | 33.0  | 231  | 3.7871          | 0.83     | 0.2774     | 1.2459 | 0.83     | 0.8134   | 0.1495 | 0.0562 |
| No log        | 34.0  | 238  | 3.7689          | 0.815    | 0.2756     | 1.1135 | 0.815    | 0.7825   | 0.1609 | 0.0596 |
| No log        | 35.0  | 245  | 3.8169          | 0.81     | 0.2801     | 1.2621 | 0.81     | 0.7880   | 0.1570 | 0.0624 |
| No log        | 36.0  | 252  | 3.7973          | 0.82     | 0.2729     | 1.1310 | 0.82     | 0.7894   | 0.1466 | 0.0585 |
| No log        | 37.0  | 259  | 3.8560          | 0.835    | 0.2825     | 1.3222 | 0.835    | 0.8114   | 0.1466 | 0.0606 |
| No log        | 38.0  | 266  | 3.8351          | 0.83     | 0.2892     | 1.2548 | 0.83     | 0.8178   | 0.1489 | 0.0593 |
| No log        | 39.0  | 273  | 3.8258          | 0.82     | 0.2711     | 1.1900 | 0.82     | 0.8037   | 0.1455 | 0.0589 |
| No log        | 40.0  | 280  | 3.8288          | 0.815    | 0.2840     | 1.2167 | 0.815    | 0.7913   | 0.1574 | 0.0619 |
| No log        | 41.0  | 287  | 3.8264          | 0.82     | 0.2790     | 1.1737 | 0.82     | 0.8020   | 0.1394 | 0.0609 |
| No log        | 42.0  | 294  | 3.8276          | 0.81     | 0.2797     | 1.1603 | 0.81     | 0.7888   | 0.1585 | 0.0580 |
| No log        | 43.0  | 301  | 3.8554          | 0.815    | 0.2771     | 1.1695 | 0.815    | 0.7943   | 0.1310 | 0.0594 |
| No log        | 44.0  | 308  | 3.8405          | 0.825    | 0.2768     | 1.1593 | 0.825    | 0.8149   | 0.1413 | 0.0569 |
| No log        | 45.0  | 315  | 3.8640          | 0.815    | 0.2891     | 1.1752 | 0.815    | 0.7980   | 0.1516 | 0.0590 |
| No log        | 46.0  | 322  | 3.8624          | 0.825    | 0.2653     | 1.1548 | 0.825    | 0.8024   | 0.1384 | 0.0581 |
| No log        | 47.0  | 329  | 3.8546          | 0.83     | 0.2766     | 1.1634 | 0.83     | 0.8106   | 0.1411 | 0.0594 |
| No log        | 48.0  | 336  | 3.8652          | 0.82     | 0.2805     | 1.1651 | 0.82     | 0.8069   | 0.1278 | 0.0581 |
| No log        | 49.0  | 343  | 3.8716          | 0.83     | 0.2758     | 1.1895 | 0.83     | 0.8065   | 0.1486 | 0.0590 |
| No log        | 50.0  | 350  | 3.8720          | 0.815    | 0.2737     | 1.1709 | 0.815    | 0.7937   | 0.1375 | 0.0578 |
| No log        | 51.0  | 357  | 3.8812          | 0.82     | 0.2762     | 1.2348 | 0.82     | 0.7993   | 0.1292 | 0.0600 |
| No log        | 52.0  | 364  | 3.8844          | 0.805    | 0.2815     | 1.0870 | 0.805    | 0.7843   | 0.1525 | 0.0581 |
| No log        | 53.0  | 371  | 3.8968          | 0.825    | 0.2704     | 1.2235 | 0.825    | 0.8011   | 0.1452 | 0.0582 |
| No log        | 54.0  | 378  | 3.8996          | 0.81     | 0.2788     | 1.3264 | 0.81     | 0.7909   | 0.1453 | 0.0573 |
| No log        | 55.0  | 385  | 3.9037          | 0.81     | 0.2757     | 1.2231 | 0.81     | 0.7928   | 0.1307 | 0.0574 |
| No log        | 56.0  | 392  | 3.9024          | 0.81     | 0.2775     | 1.2369 | 0.81     | 0.7869   | 0.1493 | 0.0581 |
| No log        | 57.0  | 399  | 3.8951          | 0.83     | 0.2722     | 1.2151 | 0.83     | 0.8171   | 0.1491 | 0.0556 |
| No log        | 58.0  | 406  | 3.9224          | 0.82     | 0.2741     | 1.2957 | 0.82     | 0.8001   | 0.1351 | 0.0575 |
| No log        | 59.0  | 413  | 3.9397          | 0.805    | 0.2782     | 1.3017 | 0.805    | 0.7870   | 0.1342 | 0.0584 |
| No log        | 60.0  | 420  | 3.9250          | 0.835    | 0.2721     | 1.2251 | 0.835    | 0.8151   | 0.1466 | 0.0570 |
| No log        | 61.0  | 427  | 3.9381          | 0.825    | 0.2753     | 1.2330 | 0.825    | 0.8044   | 0.1384 | 0.0577 |
| No log        | 62.0  | 434  | 3.9475          | 0.82     | 0.2759     | 1.2171 | 0.82     | 0.8054   | 0.1485 | 0.0576 |
| No log        | 63.0  | 441  | 3.9591          | 0.83     | 0.2761     | 1.2299 | 0.83     | 0.8122   | 0.1551 | 0.0568 |
| No log        | 64.0  | 448  | 3.9496          | 0.835    | 0.2709     | 1.2282 | 0.835    | 0.8223   | 0.1397 | 0.0559 |
| No log        | 65.0  | 455  | 3.9360          | 0.83     | 0.2688     | 1.2238 | 0.83     | 0.8171   | 0.1384 | 0.0535 |
| No log        | 66.0  | 462  | 3.9594          | 0.835    | 0.2733     | 1.2395 | 0.835    | 0.8094   | 0.1540 | 0.0563 |
| No log        | 67.0  | 469  | 3.9648          | 0.84     | 0.2700     | 1.2154 | 0.8400   | 0.8252   | 0.1673 | 0.0557 |
| No log        | 68.0  | 476  | 3.9725          | 0.83     | 0.2712     | 1.2297 | 0.83     | 0.8171   | 0.1248 | 0.0552 |
| No log        | 69.0  | 483  | 3.9844          | 0.835    | 0.2719     | 1.2243 | 0.835    | 0.8151   | 0.1605 | 0.0557 |
| No log        | 70.0  | 490  | 3.9845          | 0.83     | 0.2699     | 1.2288 | 0.83     | 0.8100   | 0.1223 | 0.0553 |
| No log        | 71.0  | 497  | 3.9986          | 0.835    | 0.2729     | 1.2206 | 0.835    | 0.8223   | 0.1381 | 0.0556 |
| 3.4116        | 72.0  | 504  | 3.9973          | 0.835    | 0.2727     | 1.2242 | 0.835    | 0.8223   | 0.1446 | 0.0553 |
| 3.4116        | 73.0  | 511  | 4.0092          | 0.835    | 0.2733     | 1.2226 | 0.835    | 0.8223   | 0.1482 | 0.0554 |
| 3.4116        | 74.0  | 518  | 4.0072          | 0.83     | 0.2714     | 1.2248 | 0.83     | 0.8152   | 0.1219 | 0.0549 |
| 3.4116        | 75.0  | 525  | 4.0168          | 0.835    | 0.2742     | 1.2200 | 0.835    | 0.8223   | 0.1329 | 0.0551 |
| 3.4116        | 76.0  | 532  | 4.0223          | 0.835    | 0.2737     | 1.2248 | 0.835    | 0.8213   | 0.1380 | 0.0552 |
| 3.4116        | 77.0  | 539  | 4.0250          | 0.84     | 0.2719     | 1.2208 | 0.8400   | 0.8252   | 0.1405 | 0.0551 |
| 3.4116        | 78.0  | 546  | 4.0338          | 0.835    | 0.2745     | 1.2242 | 0.835    | 0.8213   | 0.1536 | 0.0551 |
| 3.4116        | 79.0  | 553  | 4.0380          | 0.835    | 0.2740     | 1.2234 | 0.835    | 0.8213   | 0.1494 | 0.0552 |
| 3.4116        | 80.0  | 560  | 4.0445          | 0.835    | 0.2744     | 1.2223 | 0.835    | 0.8213   | 0.1500 | 0.0555 |
| 3.4116        | 81.0  | 567  | 4.0449          | 0.835    | 0.2735     | 1.2209 | 0.835    | 0.8213   | 0.1504 | 0.0552 |
| 3.4116        | 82.0  | 574  | 4.0515          | 0.835    | 0.2747     | 1.2228 | 0.835    | 0.8213   | 0.1526 | 0.0549 |
| 3.4116        | 83.0  | 581  | 4.0534          | 0.835    | 0.2743     | 1.2226 | 0.835    | 0.8213   | 0.1501 | 0.0548 |
| 3.4116        | 84.0  | 588  | 4.0572          | 0.835    | 0.2740     | 1.2225 | 0.835    | 0.8213   | 0.1447 | 0.0550 |
| 3.4116        | 85.0  | 595  | 4.0605          | 0.835    | 0.2743     | 1.2222 | 0.835    | 0.8213   | 0.1466 | 0.0548 |
| 3.4116        | 86.0  | 602  | 4.0621          | 0.835    | 0.2744     | 1.2215 | 0.835    | 0.8213   | 0.1427 | 0.0548 |
| 3.4116        | 87.0  | 609  | 4.0653          | 0.835    | 0.2745     | 1.2214 | 0.835    | 0.8213   | 0.1439 | 0.0549 |
| 3.4116        | 88.0  | 616  | 4.0673          | 0.835    | 0.2746     | 1.2217 | 0.835    | 0.8213   | 0.1410 | 0.0548 |
| 3.4116        | 89.0  | 623  | 4.0705          | 0.835    | 0.2748     | 1.2214 | 0.835    | 0.8213   | 0.1440 | 0.0549 |
| 3.4116        | 90.0  | 630  | 4.0717          | 0.835    | 0.2744     | 1.2217 | 0.835    | 0.8213   | 0.1426 | 0.0547 |
| 3.4116        | 91.0  | 637  | 4.0740          | 0.835    | 0.2747     | 1.2217 | 0.835    | 0.8213   | 0.1432 | 0.0548 |
| 3.4116        | 92.0  | 644  | 4.0753          | 0.835    | 0.2748     | 1.2217 | 0.835    | 0.8213   | 0.1442 | 0.0547 |
| 3.4116        | 93.0  | 651  | 4.0763          | 0.835    | 0.2746     | 1.2214 | 0.835    | 0.8213   | 0.1434 | 0.0546 |
| 3.4116        | 94.0  | 658  | 4.0777          | 0.835    | 0.2746     | 1.2213 | 0.835    | 0.8213   | 0.1433 | 0.0547 |
| 3.4116        | 95.0  | 665  | 4.0788          | 0.835    | 0.2747     | 1.2217 | 0.835    | 0.8213   | 0.1442 | 0.0547 |
| 3.4116        | 96.0  | 672  | 4.0800          | 0.835    | 0.2748     | 1.2217 | 0.835    | 0.8213   | 0.1466 | 0.0547 |
| 3.4116        | 97.0  | 679  | 4.0802          | 0.835    | 0.2747     | 1.2215 | 0.835    | 0.8213   | 0.1435 | 0.0547 |
| 3.4116        | 98.0  | 686  | 4.0808          | 0.835    | 0.2747     | 1.2214 | 0.835    | 0.8213   | 0.1435 | 0.0547 |
| 3.4116        | 99.0  | 693  | 4.0811          | 0.835    | 0.2748     | 1.2214 | 0.835    | 0.8213   | 0.1443 | 0.0547 |
| 3.4116        | 100.0 | 700  | 4.0812          | 0.835    | 0.2748     | 1.2215 | 0.835    | 0.8213   | 0.1443 | 0.0548 |


### Framework versions

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

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