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# vit-small_tobacco3482_kd_CE

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: 0.7692
- Accuracy: 0.845
- Brier Loss: 0.2469
- Nll: 1.1078
- F1 Micro: 0.845
- F1 Macro: 0.8517
- Ece: 0.1239
- Aurc: 0.0373

## 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    | 2.2384          | 0.215    | 0.8750     | 5.2607 | 0.2150   | 0.1263   | 0.2515 | 0.6887 |
| No log        | 2.0   | 14   | 1.8043          | 0.395    | 0.7402     | 3.6938 | 0.395    | 0.2230   | 0.2859 | 0.4088 |
| No log        | 3.0   | 21   | 1.2581          | 0.61     | 0.5613     | 2.0209 | 0.61     | 0.5557   | 0.2634 | 0.2084 |
| No log        | 4.0   | 28   | 0.8820          | 0.7      | 0.4017     | 1.7039 | 0.7      | 0.6574   | 0.2397 | 0.1123 |
| No log        | 5.0   | 35   | 0.8338          | 0.74     | 0.3807     | 1.7427 | 0.74     | 0.7425   | 0.2155 | 0.1001 |
| No log        | 6.0   | 42   | 0.7026          | 0.775    | 0.3202     | 1.4789 | 0.775    | 0.7666   | 0.1781 | 0.0771 |
| No log        | 7.0   | 49   | 0.7935          | 0.77     | 0.3635     | 1.5766 | 0.7700   | 0.7840   | 0.2029 | 0.0857 |
| No log        | 8.0   | 56   | 0.6819          | 0.8      | 0.3047     | 1.3800 | 0.8000   | 0.7987   | 0.1758 | 0.0738 |
| No log        | 9.0   | 63   | 0.7826          | 0.775    | 0.3434     | 1.5345 | 0.775    | 0.7888   | 0.1910 | 0.0807 |
| No log        | 10.0  | 70   | 0.8752          | 0.775    | 0.3392     | 1.5110 | 0.775    | 0.7813   | 0.1731 | 0.0737 |
| No log        | 11.0  | 77   | 1.0440          | 0.72     | 0.4285     | 1.7284 | 0.72     | 0.7241   | 0.2416 | 0.1094 |
| No log        | 12.0  | 84   | 0.8109          | 0.785    | 0.3411     | 1.3933 | 0.785    | 0.7806   | 0.1694 | 0.0690 |
| No log        | 13.0  | 91   | 0.9980          | 0.76     | 0.3852     | 1.5143 | 0.76     | 0.6919   | 0.1917 | 0.0892 |
| No log        | 14.0  | 98   | 1.0056          | 0.775    | 0.3773     | 1.4735 | 0.775    | 0.7733   | 0.2060 | 0.0871 |
| No log        | 15.0  | 105  | 1.2081          | 0.75     | 0.4260     | 1.5653 | 0.75     | 0.7373   | 0.2110 | 0.0983 |
| No log        | 16.0  | 112  | 1.1463          | 0.78     | 0.3781     | 1.5472 | 0.78     | 0.7906   | 0.1736 | 0.1004 |
| No log        | 17.0  | 119  | 0.9384          | 0.825    | 0.2973     | 1.5527 | 0.825    | 0.8334   | 0.1529 | 0.0648 |
| No log        | 18.0  | 126  | 0.9258          | 0.785    | 0.3464     | 1.2875 | 0.785    | 0.7832   | 0.1694 | 0.0562 |
| No log        | 19.0  | 133  | 1.1667          | 0.8      | 0.3406     | 1.8919 | 0.8000   | 0.8038   | 0.1518 | 0.0705 |
| No log        | 20.0  | 140  | 0.9351          | 0.81     | 0.3116     | 1.4283 | 0.81     | 0.8084   | 0.1532 | 0.0628 |
| No log        | 21.0  | 147  | 1.2016          | 0.77     | 0.4040     | 1.2958 | 0.7700   | 0.7606   | 0.2051 | 0.0827 |
| No log        | 22.0  | 154  | 1.3592          | 0.765    | 0.4040     | 1.6059 | 0.765    | 0.7645   | 0.1941 | 0.1163 |
| No log        | 23.0  | 161  | 0.9921          | 0.805    | 0.3374     | 1.6304 | 0.805    | 0.8029   | 0.1710 | 0.0558 |
| No log        | 24.0  | 168  | 0.8805          | 0.83     | 0.2953     | 1.1996 | 0.83     | 0.8189   | 0.1547 | 0.0611 |
| No log        | 25.0  | 175  | 0.9926          | 0.815    | 0.3148     | 1.2949 | 0.815    | 0.8050   | 0.1638 | 0.0606 |
| No log        | 26.0  | 182  | 1.0838          | 0.83     | 0.3171     | 1.3327 | 0.83     | 0.8265   | 0.1632 | 0.0732 |
| No log        | 27.0  | 189  | 1.1845          | 0.8      | 0.3382     | 1.3456 | 0.8000   | 0.7942   | 0.1814 | 0.0798 |
| No log        | 28.0  | 196  | 0.9800          | 0.83     | 0.2999     | 1.3172 | 0.83     | 0.8275   | 0.1563 | 0.0798 |
| No log        | 29.0  | 203  | 0.9653          | 0.85     | 0.2724     | 1.3303 | 0.85     | 0.8531   | 0.1415 | 0.0556 |
| No log        | 30.0  | 210  | 0.9896          | 0.85     | 0.2837     | 1.3282 | 0.85     | 0.8494   | 0.1373 | 0.0596 |
| No log        | 31.0  | 217  | 0.9196          | 0.84     | 0.2844     | 1.2157 | 0.8400   | 0.8437   | 0.1516 | 0.0508 |
| No log        | 32.0  | 224  | 0.9701          | 0.83     | 0.3062     | 1.2264 | 0.83     | 0.8364   | 0.1608 | 0.0554 |
| No log        | 33.0  | 231  | 0.7464          | 0.865    | 0.2353     | 1.1321 | 0.865    | 0.8613   | 0.1265 | 0.0432 |
| No log        | 34.0  | 238  | 0.7593          | 0.865    | 0.2367     | 1.1160 | 0.865    | 0.8649   | 0.1322 | 0.0430 |
| No log        | 35.0  | 245  | 0.7450          | 0.855    | 0.2465     | 1.0615 | 0.855    | 0.8536   | 0.1279 | 0.0413 |
| No log        | 36.0  | 252  | 0.7389          | 0.845    | 0.2546     | 1.0563 | 0.845    | 0.8429   | 0.1266 | 0.0417 |
| No log        | 37.0  | 259  | 0.7332          | 0.845    | 0.2542     | 1.0549 | 0.845    | 0.8452   | 0.1293 | 0.0413 |
| No log        | 38.0  | 266  | 0.7328          | 0.85     | 0.2531     | 1.0554 | 0.85     | 0.8490   | 0.1331 | 0.0407 |
| No log        | 39.0  | 273  | 0.7342          | 0.85     | 0.2514     | 1.0558 | 0.85     | 0.8490   | 0.1339 | 0.0398 |
| No log        | 40.0  | 280  | 0.7367          | 0.855    | 0.2498     | 1.0564 | 0.855    | 0.8529   | 0.1362 | 0.0391 |
| No log        | 41.0  | 287  | 0.7395          | 0.855    | 0.2489     | 1.0574 | 0.855    | 0.8529   | 0.1307 | 0.0392 |
| No log        | 42.0  | 294  | 0.7412          | 0.855    | 0.2480     | 1.0598 | 0.855    | 0.8529   | 0.1237 | 0.0393 |
| No log        | 43.0  | 301  | 0.7434          | 0.855    | 0.2475     | 1.0635 | 0.855    | 0.8550   | 0.1161 | 0.0392 |
| No log        | 44.0  | 308  | 0.7453          | 0.855    | 0.2473     | 1.0725 | 0.855    | 0.8550   | 0.1237 | 0.0392 |
| No log        | 45.0  | 315  | 0.7462          | 0.855    | 0.2471     | 1.1225 | 0.855    | 0.8550   | 0.1205 | 0.0391 |
| No log        | 46.0  | 322  | 0.7471          | 0.855    | 0.2468     | 1.1219 | 0.855    | 0.8550   | 0.1155 | 0.0391 |
| No log        | 47.0  | 329  | 0.7481          | 0.85     | 0.2466     | 1.1213 | 0.85     | 0.8519   | 0.1283 | 0.0390 |
| No log        | 48.0  | 336  | 0.7492          | 0.85     | 0.2464     | 1.1207 | 0.85     | 0.8519   | 0.1334 | 0.0388 |
| No log        | 49.0  | 343  | 0.7504          | 0.85     | 0.2464     | 1.1203 | 0.85     | 0.8519   | 0.1379 | 0.0387 |
| No log        | 50.0  | 350  | 0.7515          | 0.85     | 0.2465     | 1.1201 | 0.85     | 0.8519   | 0.1267 | 0.0387 |
| No log        | 51.0  | 357  | 0.7523          | 0.85     | 0.2464     | 1.1198 | 0.85     | 0.8519   | 0.1265 | 0.0385 |
| No log        | 52.0  | 364  | 0.7532          | 0.85     | 0.2463     | 1.1194 | 0.85     | 0.8519   | 0.1201 | 0.0385 |
| No log        | 53.0  | 371  | 0.7534          | 0.855    | 0.2461     | 1.1189 | 0.855    | 0.8602   | 0.1266 | 0.0384 |
| No log        | 54.0  | 378  | 0.7542          | 0.855    | 0.2460     | 1.1185 | 0.855    | 0.8602   | 0.1279 | 0.0386 |
| No log        | 55.0  | 385  | 0.7547          | 0.855    | 0.2459     | 1.1180 | 0.855    | 0.8602   | 0.1332 | 0.0381 |
| No log        | 56.0  | 392  | 0.7556          | 0.855    | 0.2460     | 1.1176 | 0.855    | 0.8602   | 0.1256 | 0.0380 |
| No log        | 57.0  | 399  | 0.7564          | 0.855    | 0.2460     | 1.1171 | 0.855    | 0.8602   | 0.1252 | 0.0381 |
| No log        | 58.0  | 406  | 0.7571          | 0.855    | 0.2461     | 1.1166 | 0.855    | 0.8602   | 0.1231 | 0.0379 |
| No log        | 59.0  | 413  | 0.7581          | 0.855    | 0.2463     | 1.1162 | 0.855    | 0.8602   | 0.1295 | 0.0378 |
| No log        | 60.0  | 420  | 0.7588          | 0.855    | 0.2464     | 1.1159 | 0.855    | 0.8602   | 0.1224 | 0.0378 |
| No log        | 61.0  | 427  | 0.7594          | 0.855    | 0.2465     | 1.1155 | 0.855    | 0.8602   | 0.1226 | 0.0378 |
| No log        | 62.0  | 434  | 0.7598          | 0.855    | 0.2464     | 1.1152 | 0.855    | 0.8602   | 0.1231 | 0.0378 |
| No log        | 63.0  | 441  | 0.7605          | 0.855    | 0.2465     | 1.1149 | 0.855    | 0.8602   | 0.1231 | 0.0378 |
| No log        | 64.0  | 448  | 0.7610          | 0.855    | 0.2465     | 1.1144 | 0.855    | 0.8602   | 0.1222 | 0.0377 |
| No log        | 65.0  | 455  | 0.7618          | 0.855    | 0.2466     | 1.1140 | 0.855    | 0.8602   | 0.1229 | 0.0377 |
| No log        | 66.0  | 462  | 0.7625          | 0.855    | 0.2468     | 1.1137 | 0.855    | 0.8602   | 0.1317 | 0.0378 |
| No log        | 67.0  | 469  | 0.7630          | 0.855    | 0.2468     | 1.1133 | 0.855    | 0.8602   | 0.1317 | 0.0377 |
| No log        | 68.0  | 476  | 0.7633          | 0.855    | 0.2468     | 1.1130 | 0.855    | 0.8602   | 0.1317 | 0.0377 |
| No log        | 69.0  | 483  | 0.7636          | 0.855    | 0.2468     | 1.1127 | 0.855    | 0.8602   | 0.1318 | 0.0376 |
| No log        | 70.0  | 490  | 0.7640          | 0.855    | 0.2468     | 1.1124 | 0.855    | 0.8602   | 0.1319 | 0.0376 |
| No log        | 71.0  | 497  | 0.7645          | 0.85     | 0.2468     | 1.1120 | 0.85     | 0.8548   | 0.1280 | 0.0375 |
| 0.1221        | 72.0  | 504  | 0.7649          | 0.85     | 0.2468     | 1.1116 | 0.85     | 0.8548   | 0.1293 | 0.0375 |
| 0.1221        | 73.0  | 511  | 0.7653          | 0.85     | 0.2469     | 1.1113 | 0.85     | 0.8548   | 0.1293 | 0.0374 |
| 0.1221        | 74.0  | 518  | 0.7656          | 0.85     | 0.2469     | 1.1111 | 0.85     | 0.8548   | 0.1293 | 0.0373 |
| 0.1221        | 75.0  | 525  | 0.7659          | 0.85     | 0.2469     | 1.1108 | 0.85     | 0.8548   | 0.1208 | 0.0373 |
| 0.1221        | 76.0  | 532  | 0.7662          | 0.85     | 0.2469     | 1.1106 | 0.85     | 0.8548   | 0.1207 | 0.0374 |
| 0.1221        | 77.0  | 539  | 0.7664          | 0.85     | 0.2469     | 1.1104 | 0.85     | 0.8548   | 0.1207 | 0.0374 |
| 0.1221        | 78.0  | 546  | 0.7665          | 0.85     | 0.2469     | 1.1102 | 0.85     | 0.8548   | 0.1301 | 0.0375 |
| 0.1221        | 79.0  | 553  | 0.7667          | 0.85     | 0.2469     | 1.1100 | 0.85     | 0.8548   | 0.1301 | 0.0375 |
| 0.1221        | 80.0  | 560  | 0.7668          | 0.85     | 0.2468     | 1.1097 | 0.85     | 0.8548   | 0.1301 | 0.0374 |
| 0.1221        | 81.0  | 567  | 0.7669          | 0.85     | 0.2468     | 1.1095 | 0.85     | 0.8548   | 0.1300 | 0.0374 |
| 0.1221        | 82.0  | 574  | 0.7672          | 0.85     | 0.2468     | 1.1094 | 0.85     | 0.8548   | 0.1301 | 0.0374 |
| 0.1221        | 83.0  | 581  | 0.7674          | 0.85     | 0.2469     | 1.1092 | 0.85     | 0.8548   | 0.1301 | 0.0374 |
| 0.1221        | 84.0  | 588  | 0.7678          | 0.85     | 0.2469     | 1.1090 | 0.85     | 0.8548   | 0.1302 | 0.0374 |
| 0.1221        | 85.0  | 595  | 0.7678          | 0.85     | 0.2468     | 1.1089 | 0.85     | 0.8548   | 0.1284 | 0.0373 |
| 0.1221        | 86.0  | 602  | 0.7679          | 0.845    | 0.2468     | 1.1087 | 0.845    | 0.8517   | 0.1243 | 0.0373 |
| 0.1221        | 87.0  | 609  | 0.7681          | 0.845    | 0.2468     | 1.1086 | 0.845    | 0.8517   | 0.1244 | 0.0373 |
| 0.1221        | 88.0  | 616  | 0.7683          | 0.845    | 0.2468     | 1.1084 | 0.845    | 0.8517   | 0.1244 | 0.0373 |
| 0.1221        | 89.0  | 623  | 0.7685          | 0.845    | 0.2468     | 1.1083 | 0.845    | 0.8517   | 0.1243 | 0.0373 |
| 0.1221        | 90.0  | 630  | 0.7687          | 0.845    | 0.2469     | 1.1083 | 0.845    | 0.8517   | 0.1239 | 0.0372 |
| 0.1221        | 91.0  | 637  | 0.7688          | 0.845    | 0.2469     | 1.1082 | 0.845    | 0.8517   | 0.1239 | 0.0372 |
| 0.1221        | 92.0  | 644  | 0.7689          | 0.845    | 0.2469     | 1.1082 | 0.845    | 0.8517   | 0.1239 | 0.0373 |
| 0.1221        | 93.0  | 651  | 0.7690          | 0.845    | 0.2469     | 1.1081 | 0.845    | 0.8517   | 0.1239 | 0.0373 |
| 0.1221        | 94.0  | 658  | 0.7690          | 0.845    | 0.2469     | 1.1080 | 0.845    | 0.8517   | 0.1239 | 0.0373 |
| 0.1221        | 95.0  | 665  | 0.7691          | 0.845    | 0.2469     | 1.1080 | 0.845    | 0.8517   | 0.1239 | 0.0373 |
| 0.1221        | 96.0  | 672  | 0.7692          | 0.845    | 0.2469     | 1.1079 | 0.845    | 0.8517   | 0.1239 | 0.0373 |
| 0.1221        | 97.0  | 679  | 0.7692          | 0.845    | 0.2469     | 1.1079 | 0.845    | 0.8517   | 0.1239 | 0.0373 |
| 0.1221        | 98.0  | 686  | 0.7692          | 0.845    | 0.2469     | 1.1078 | 0.845    | 0.8517   | 0.1239 | 0.0373 |
| 0.1221        | 99.0  | 693  | 0.7692          | 0.845    | 0.2469     | 1.1078 | 0.845    | 0.8517   | 0.1239 | 0.0373 |
| 0.1221        | 100.0 | 700  | 0.7692          | 0.845    | 0.2469     | 1.1078 | 0.845    | 0.8517   | 0.1239 | 0.0373 |


### Framework versions

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

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