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# 60-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: 4.0655
- Accuracy: 0.82
- Brier Loss: 0.2655
- Nll: 1.0777
- F1 Micro: 0.82
- F1 Macro: 0.7953
- Ece: 0.1364
- Aurc: 0.0539

## 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    | 5.7153          | 0.09     | 1.0182     | 8.6654 | 0.09     | 0.0745   | 0.3226 | 0.8984 |
| No log        | 2.0   | 14   | 4.7081          | 0.13     | 0.9028     | 8.0605 | 0.13     | 0.0949   | 0.2402 | 0.8297 |
| No log        | 3.0   | 21   | 4.3197          | 0.215    | 0.8419     | 6.1917 | 0.2150   | 0.1338   | 0.2566 | 0.5994 |
| No log        | 4.0   | 28   | 4.1502          | 0.405    | 0.7493     | 4.1855 | 0.405    | 0.3261   | 0.3035 | 0.4065 |
| No log        | 5.0   | 35   | 4.0310          | 0.545    | 0.6643     | 2.9984 | 0.545    | 0.4451   | 0.3080 | 0.2731 |
| No log        | 6.0   | 42   | 3.9472          | 0.64     | 0.6089     | 2.4473 | 0.64     | 0.5047   | 0.3290 | 0.1849 |
| No log        | 7.0   | 49   | 3.8616          | 0.655    | 0.5435     | 2.3233 | 0.655    | 0.5434   | 0.3086 | 0.1536 |
| No log        | 8.0   | 56   | 3.8289          | 0.72     | 0.5177     | 2.1266 | 0.72     | 0.6162   | 0.3496 | 0.1202 |
| No log        | 9.0   | 63   | 3.7812          | 0.715    | 0.4461     | 1.7718 | 0.715    | 0.6276   | 0.2464 | 0.1099 |
| No log        | 10.0  | 70   | 3.7599          | 0.715    | 0.3960     | 1.7795 | 0.715    | 0.6158   | 0.2262 | 0.0879 |
| No log        | 11.0  | 77   | 3.7506          | 0.74     | 0.3758     | 1.9447 | 0.74     | 0.6284   | 0.2212 | 0.0847 |
| No log        | 12.0  | 84   | 3.7261          | 0.79     | 0.3515     | 1.7839 | 0.79     | 0.7107   | 0.2419 | 0.0698 |
| No log        | 13.0  | 91   | 3.8045          | 0.72     | 0.3765     | 1.8827 | 0.72     | 0.6249   | 0.1943 | 0.0941 |
| No log        | 14.0  | 98   | 3.6964          | 0.79     | 0.3309     | 1.8042 | 0.79     | 0.6873   | 0.2162 | 0.0629 |
| No log        | 15.0  | 105  | 3.7058          | 0.78     | 0.3285     | 1.8229 | 0.78     | 0.6827   | 0.1999 | 0.0672 |
| No log        | 16.0  | 112  | 3.8395          | 0.74     | 0.3502     | 1.9683 | 0.74     | 0.6554   | 0.1777 | 0.0880 |
| No log        | 17.0  | 119  | 3.7568          | 0.795    | 0.3120     | 1.3060 | 0.795    | 0.7121   | 0.1656 | 0.0633 |
| No log        | 18.0  | 126  | 3.7399          | 0.795    | 0.3099     | 1.6225 | 0.795    | 0.7133   | 0.1721 | 0.0615 |
| No log        | 19.0  | 133  | 3.7813          | 0.82     | 0.2884     | 1.3165 | 0.82     | 0.7475   | 0.1698 | 0.0565 |
| No log        | 20.0  | 140  | 3.7907          | 0.8      | 0.3074     | 1.2638 | 0.8000   | 0.7701   | 0.1862 | 0.0654 |
| No log        | 21.0  | 147  | 3.7687          | 0.83     | 0.2860     | 1.2646 | 0.83     | 0.8077   | 0.1730 | 0.0569 |
| No log        | 22.0  | 154  | 3.7182          | 0.82     | 0.2813     | 1.3271 | 0.82     | 0.7848   | 0.1762 | 0.0551 |
| No log        | 23.0  | 161  | 3.7801          | 0.83     | 0.2679     | 1.1397 | 0.83     | 0.8015   | 0.1574 | 0.0568 |
| No log        | 24.0  | 168  | 3.7659          | 0.82     | 0.2752     | 1.1301 | 0.82     | 0.7893   | 0.1581 | 0.0582 |
| No log        | 25.0  | 175  | 3.7960          | 0.825    | 0.2755     | 1.2565 | 0.825    | 0.8017   | 0.1663 | 0.0540 |
| No log        | 26.0  | 182  | 3.7630          | 0.82     | 0.2715     | 1.0265 | 0.82     | 0.7971   | 0.1439 | 0.0536 |
| No log        | 27.0  | 189  | 3.8411          | 0.82     | 0.2822     | 1.2532 | 0.82     | 0.7929   | 0.1621 | 0.0623 |
| No log        | 28.0  | 196  | 3.7869          | 0.83     | 0.2608     | 1.1781 | 0.83     | 0.8013   | 0.1461 | 0.0531 |
| No log        | 29.0  | 203  | 3.7798          | 0.81     | 0.2724     | 1.0950 | 0.81     | 0.7785   | 0.1436 | 0.0562 |
| No log        | 30.0  | 210  | 3.8412          | 0.82     | 0.2724     | 1.3168 | 0.82     | 0.7892   | 0.1473 | 0.0596 |
| No log        | 31.0  | 217  | 3.7937          | 0.83     | 0.2683     | 1.1818 | 0.83     | 0.8137   | 0.1523 | 0.0515 |
| No log        | 32.0  | 224  | 3.7964          | 0.825    | 0.2655     | 1.1605 | 0.825    | 0.8028   | 0.1580 | 0.0551 |
| No log        | 33.0  | 231  | 3.7950          | 0.81     | 0.2685     | 1.2514 | 0.81     | 0.7854   | 0.1275 | 0.0534 |
| No log        | 34.0  | 238  | 3.8086          | 0.83     | 0.2599     | 0.9670 | 0.83     | 0.8022   | 0.1309 | 0.0529 |
| No log        | 35.0  | 245  | 3.8393          | 0.83     | 0.2649     | 0.9615 | 0.83     | 0.8050   | 0.1445 | 0.0543 |
| No log        | 36.0  | 252  | 3.8140          | 0.84     | 0.2528     | 1.0685 | 0.8400   | 0.8194   | 0.1371 | 0.0528 |
| No log        | 37.0  | 259  | 3.8164          | 0.825    | 0.2665     | 1.0001 | 0.825    | 0.8030   | 0.1501 | 0.0548 |
| No log        | 38.0  | 266  | 3.8298          | 0.82     | 0.2669     | 1.0166 | 0.82     | 0.8007   | 0.1413 | 0.0549 |
| No log        | 39.0  | 273  | 3.8346          | 0.815    | 0.2646     | 1.1609 | 0.815    | 0.7876   | 0.1453 | 0.0551 |
| No log        | 40.0  | 280  | 3.8409          | 0.825    | 0.2610     | 1.1811 | 0.825    | 0.8054   | 0.1432 | 0.0551 |
| No log        | 41.0  | 287  | 3.8106          | 0.835    | 0.2642     | 1.0262 | 0.835    | 0.8078   | 0.1471 | 0.0547 |
| No log        | 42.0  | 294  | 3.8402          | 0.81     | 0.2591     | 0.9683 | 0.81     | 0.7863   | 0.1638 | 0.0546 |
| No log        | 43.0  | 301  | 3.8480          | 0.82     | 0.2604     | 1.1408 | 0.82     | 0.7933   | 0.1448 | 0.0538 |
| No log        | 44.0  | 308  | 3.8627          | 0.835    | 0.2717     | 1.0142 | 0.835    | 0.8113   | 0.1472 | 0.0550 |
| No log        | 45.0  | 315  | 3.8274          | 0.83     | 0.2589     | 1.0148 | 0.83     | 0.8138   | 0.1333 | 0.0518 |
| No log        | 46.0  | 322  | 3.8349          | 0.83     | 0.2563     | 0.9773 | 0.83     | 0.8086   | 0.1237 | 0.0537 |
| No log        | 47.0  | 329  | 3.8656          | 0.82     | 0.2668     | 0.9728 | 0.82     | 0.7947   | 0.1330 | 0.0546 |
| No log        | 48.0  | 336  | 3.8455          | 0.84     | 0.2514     | 0.9784 | 0.8400   | 0.8175   | 0.1519 | 0.0509 |
| No log        | 49.0  | 343  | 3.8827          | 0.81     | 0.2740     | 0.9515 | 0.81     | 0.7852   | 0.1325 | 0.0565 |
| No log        | 50.0  | 350  | 3.8617          | 0.815    | 0.2659     | 1.2129 | 0.815    | 0.7885   | 0.1430 | 0.0565 |
| No log        | 51.0  | 357  | 3.8555          | 0.825    | 0.2601     | 0.9544 | 0.825    | 0.8023   | 0.1500 | 0.0535 |
| No log        | 52.0  | 364  | 3.8794          | 0.825    | 0.2611     | 1.1499 | 0.825    | 0.7998   | 0.1520 | 0.0550 |
| No log        | 53.0  | 371  | 3.8563          | 0.815    | 0.2592     | 1.0856 | 0.815    | 0.7896   | 0.1198 | 0.0525 |
| No log        | 54.0  | 378  | 3.8851          | 0.825    | 0.2579     | 0.8909 | 0.825    | 0.8042   | 0.1320 | 0.0543 |
| No log        | 55.0  | 385  | 3.8682          | 0.815    | 0.2589     | 1.1381 | 0.815    | 0.7906   | 0.1376 | 0.0553 |
| No log        | 56.0  | 392  | 3.8646          | 0.83     | 0.2582     | 1.0602 | 0.83     | 0.8144   | 0.1330 | 0.0532 |
| No log        | 57.0  | 399  | 3.9205          | 0.82     | 0.2678     | 1.0739 | 0.82     | 0.7991   | 0.1403 | 0.0569 |
| No log        | 58.0  | 406  | 3.8878          | 0.835    | 0.2613     | 0.9320 | 0.835    | 0.8112   | 0.1575 | 0.0527 |
| No log        | 59.0  | 413  | 3.8944          | 0.82     | 0.2662     | 1.0116 | 0.82     | 0.7966   | 0.1304 | 0.0544 |
| No log        | 60.0  | 420  | 3.8819          | 0.825    | 0.2597     | 1.1330 | 0.825    | 0.8019   | 0.1471 | 0.0529 |
| No log        | 61.0  | 427  | 3.9219          | 0.82     | 0.2719     | 1.0206 | 0.82     | 0.7957   | 0.1465 | 0.0563 |
| No log        | 62.0  | 434  | 3.8903          | 0.815    | 0.2583     | 0.9983 | 0.815    | 0.7945   | 0.1428 | 0.0532 |
| No log        | 63.0  | 441  | 3.9258          | 0.82     | 0.2674     | 1.0722 | 0.82     | 0.7941   | 0.1312 | 0.0552 |
| No log        | 64.0  | 448  | 3.9086          | 0.83     | 0.2546     | 1.1474 | 0.83     | 0.8049   | 0.1375 | 0.0522 |
| No log        | 65.0  | 455  | 3.9260          | 0.83     | 0.2655     | 1.0795 | 0.83     | 0.8074   | 0.1300 | 0.0537 |
| No log        | 66.0  | 462  | 3.9424          | 0.82     | 0.2634     | 1.0220 | 0.82     | 0.7978   | 0.1298 | 0.0542 |
| No log        | 67.0  | 469  | 3.9315          | 0.815    | 0.2605     | 1.0206 | 0.815    | 0.7882   | 0.1404 | 0.0534 |
| No log        | 68.0  | 476  | 3.9583          | 0.82     | 0.2634     | 1.0018 | 0.82     | 0.7991   | 0.1321 | 0.0532 |
| No log        | 69.0  | 483  | 3.9447          | 0.825    | 0.2606     | 1.0840 | 0.825    | 0.8003   | 0.1326 | 0.0533 |
| No log        | 70.0  | 490  | 3.9698          | 0.815    | 0.2646     | 0.9721 | 0.815    | 0.7940   | 0.1359 | 0.0546 |
| No log        | 71.0  | 497  | 3.9621          | 0.82     | 0.2615     | 1.0207 | 0.82     | 0.7953   | 0.1312 | 0.0540 |
| 3.4582        | 72.0  | 504  | 3.9687          | 0.81     | 0.2628     | 1.0078 | 0.81     | 0.7861   | 0.1379 | 0.0549 |
| 3.4582        | 73.0  | 511  | 3.9699          | 0.825    | 0.2575     | 1.0739 | 0.825    | 0.8024   | 0.1257 | 0.0534 |
| 3.4582        | 74.0  | 518  | 3.9791          | 0.82     | 0.2638     | 1.0290 | 0.82     | 0.7978   | 0.1337 | 0.0543 |
| 3.4582        | 75.0  | 525  | 3.9893          | 0.82     | 0.2664     | 1.0711 | 0.82     | 0.7978   | 0.1323 | 0.0543 |
| 3.4582        | 76.0  | 532  | 3.9843          | 0.825    | 0.2620     | 0.9559 | 0.825    | 0.7999   | 0.1307 | 0.0535 |
| 3.4582        | 77.0  | 539  | 3.9983          | 0.82     | 0.2626     | 1.0239 | 0.82     | 0.7953   | 0.1333 | 0.0543 |
| 3.4582        | 78.0  | 546  | 4.0068          | 0.82     | 0.2663     | 1.0205 | 0.82     | 0.7953   | 0.1421 | 0.0542 |
| 3.4582        | 79.0  | 553  | 4.0096          | 0.82     | 0.2636     | 1.0204 | 0.82     | 0.7953   | 0.1296 | 0.0541 |
| 3.4582        | 80.0  | 560  | 4.0211          | 0.82     | 0.2655     | 1.0147 | 0.82     | 0.7953   | 0.1365 | 0.0541 |
| 3.4582        | 81.0  | 567  | 4.0206          | 0.815    | 0.2631     | 1.0781 | 0.815    | 0.7902   | 0.1378 | 0.0543 |
| 3.4582        | 82.0  | 574  | 4.0270          | 0.82     | 0.2652     | 1.0752 | 0.82     | 0.7953   | 0.1407 | 0.0539 |
| 3.4582        | 83.0  | 581  | 4.0301          | 0.82     | 0.2642     | 1.0763 | 0.82     | 0.7953   | 0.1444 | 0.0537 |
| 3.4582        | 84.0  | 588  | 4.0369          | 0.82     | 0.2652     | 1.0758 | 0.82     | 0.7953   | 0.1355 | 0.0539 |
| 3.4582        | 85.0  | 595  | 4.0395          | 0.82     | 0.2648     | 1.0244 | 0.82     | 0.7953   | 0.1300 | 0.0539 |
| 3.4582        | 86.0  | 602  | 4.0428          | 0.82     | 0.2651     | 1.0768 | 0.82     | 0.7953   | 0.1209 | 0.0538 |
| 3.4582        | 87.0  | 609  | 4.0461          | 0.82     | 0.2653     | 1.0780 | 0.82     | 0.7953   | 0.1295 | 0.0536 |
| 3.4582        | 88.0  | 616  | 4.0485          | 0.82     | 0.2650     | 1.0780 | 0.82     | 0.7953   | 0.1375 | 0.0537 |
| 3.4582        | 89.0  | 623  | 4.0521          | 0.82     | 0.2652     | 1.0259 | 0.82     | 0.7953   | 0.1296 | 0.0537 |
| 3.4582        | 90.0  | 630  | 4.0540          | 0.82     | 0.2652     | 1.0466 | 0.82     | 0.7953   | 0.1282 | 0.0538 |
| 3.4582        | 91.0  | 637  | 4.0562          | 0.82     | 0.2653     | 1.0778 | 0.82     | 0.7953   | 0.1304 | 0.0538 |
| 3.4582        | 92.0  | 644  | 4.0587          | 0.82     | 0.2655     | 1.0774 | 0.82     | 0.7953   | 0.1241 | 0.0537 |
| 3.4582        | 93.0  | 651  | 4.0607          | 0.82     | 0.2657     | 1.0771 | 0.82     | 0.7953   | 0.1357 | 0.0538 |
| 3.4582        | 94.0  | 658  | 4.0615          | 0.82     | 0.2655     | 1.0775 | 0.82     | 0.7953   | 0.1268 | 0.0538 |
| 3.4582        | 95.0  | 665  | 4.0625          | 0.82     | 0.2654     | 1.0300 | 0.82     | 0.7953   | 0.1211 | 0.0538 |
| 3.4582        | 96.0  | 672  | 4.0641          | 0.82     | 0.2657     | 1.0771 | 0.82     | 0.7953   | 0.1365 | 0.0538 |
| 3.4582        | 97.0  | 679  | 4.0641          | 0.82     | 0.2654     | 1.0312 | 0.82     | 0.7953   | 0.1210 | 0.0538 |
| 3.4582        | 98.0  | 686  | 4.0652          | 0.82     | 0.2656     | 1.0776 | 0.82     | 0.7953   | 0.1269 | 0.0538 |
| 3.4582        | 99.0  | 693  | 4.0654          | 0.82     | 0.2656     | 1.0775 | 0.82     | 0.7953   | 0.1364 | 0.0539 |
| 3.4582        | 100.0 | 700  | 4.0655          | 0.82     | 0.2655     | 1.0777 | 0.82     | 0.7953   | 0.1364 | 0.0539 |


### Framework versions

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

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