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# 81-tiny_tobacco3482

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: 0.1635
- Accuracy: 0.815
- Brier Loss: 0.3719
- Nll: 0.7360
- F1 Micro: 0.815
- F1 Macro: 0.7973
- Ece: 0.3345
- Aurc: 0.0542

## 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    | 2.2942          | 0.16     | 1.0273     | 8.4554 | 0.16     | 0.0543   | 0.3538 | 0.8479 |
| No log        | 2.0   | 14   | 1.1952          | 0.095    | 0.9063     | 7.1126 | 0.095    | 0.0819   | 0.2327 | 0.8615 |
| No log        | 3.0   | 21   | 0.7862          | 0.305    | 0.8434     | 5.1628 | 0.305    | 0.1452   | 0.2965 | 0.6092 |
| No log        | 4.0   | 28   | 0.6144          | 0.385    | 0.7594     | 3.3452 | 0.3850   | 0.2942   | 0.2978 | 0.4140 |
| No log        | 5.0   | 35   | 0.5040          | 0.54     | 0.6858     | 2.6433 | 0.54     | 0.4419   | 0.3200 | 0.2853 |
| No log        | 6.0   | 42   | 0.4291          | 0.625    | 0.6353     | 2.2564 | 0.625    | 0.5273   | 0.3772 | 0.1975 |
| No log        | 7.0   | 49   | 0.3839          | 0.63     | 0.5815     | 2.0215 | 0.63     | 0.4970   | 0.3469 | 0.1795 |
| No log        | 8.0   | 56   | 0.3390          | 0.705    | 0.5512     | 1.5239 | 0.705    | 0.5983   | 0.3704 | 0.1337 |
| No log        | 9.0   | 63   | 0.3128          | 0.705    | 0.5015     | 1.7837 | 0.705    | 0.6172   | 0.3403 | 0.1138 |
| No log        | 10.0  | 70   | 0.2868          | 0.705    | 0.4532     | 1.1243 | 0.705    | 0.6108   | 0.3221 | 0.1015 |
| No log        | 11.0  | 77   | 0.2866          | 0.74     | 0.4532     | 1.0967 | 0.74     | 0.6909   | 0.3422 | 0.0932 |
| No log        | 12.0  | 84   | 0.2625          | 0.765    | 0.4235     | 1.4646 | 0.765    | 0.6788   | 0.3240 | 0.0805 |
| No log        | 13.0  | 91   | 0.2516          | 0.73     | 0.4141     | 1.4855 | 0.7300   | 0.6495   | 0.2770 | 0.0869 |
| No log        | 14.0  | 98   | 0.2487          | 0.805    | 0.4440     | 1.2873 | 0.805    | 0.7319   | 0.3699 | 0.0670 |
| No log        | 15.0  | 105  | 0.2103          | 0.77     | 0.4029     | 1.0834 | 0.7700   | 0.6891   | 0.3007 | 0.0677 |
| No log        | 16.0  | 112  | 0.2216          | 0.8      | 0.4029     | 1.0621 | 0.8000   | 0.7247   | 0.3513 | 0.0611 |
| No log        | 17.0  | 119  | 0.2230          | 0.745    | 0.3999     | 1.0367 | 0.745    | 0.6710   | 0.2992 | 0.0809 |
| No log        | 18.0  | 126  | 0.2301          | 0.805    | 0.4044     | 0.9650 | 0.805    | 0.7473   | 0.3406 | 0.0538 |
| No log        | 19.0  | 133  | 0.2024          | 0.795    | 0.3935     | 0.9429 | 0.795    | 0.7562   | 0.3327 | 0.0669 |
| No log        | 20.0  | 140  | 0.1959          | 0.82     | 0.3935     | 0.8984 | 0.82     | 0.8000   | 0.3453 | 0.0571 |
| No log        | 21.0  | 147  | 0.2020          | 0.815    | 0.3946     | 0.8507 | 0.815    | 0.7949   | 0.3669 | 0.0588 |
| No log        | 22.0  | 154  | 0.2100          | 0.805    | 0.3758     | 0.8083 | 0.805    | 0.7743   | 0.3087 | 0.0625 |
| No log        | 23.0  | 161  | 0.2002          | 0.81     | 0.3881     | 1.0046 | 0.81     | 0.7953   | 0.3276 | 0.0617 |
| No log        | 24.0  | 168  | 0.2004          | 0.83     | 0.3987     | 0.8922 | 0.83     | 0.8034   | 0.3565 | 0.0531 |
| No log        | 25.0  | 175  | 0.1914          | 0.785    | 0.3699     | 0.8571 | 0.785    | 0.7484   | 0.3117 | 0.0601 |
| No log        | 26.0  | 182  | 0.1845          | 0.815    | 0.3764     | 0.8153 | 0.815    | 0.7970   | 0.3215 | 0.0539 |
| No log        | 27.0  | 189  | 0.1821          | 0.835    | 0.3815     | 0.8488 | 0.835    | 0.8175   | 0.3441 | 0.0497 |
| No log        | 28.0  | 196  | 0.1869          | 0.84     | 0.3808     | 0.8654 | 0.8400   | 0.8236   | 0.3639 | 0.0504 |
| No log        | 29.0  | 203  | 0.1859          | 0.79     | 0.3752     | 0.7067 | 0.79     | 0.7661   | 0.3019 | 0.0618 |
| No log        | 30.0  | 210  | 0.1842          | 0.795    | 0.3826     | 0.9031 | 0.795    | 0.7646   | 0.3170 | 0.0599 |
| No log        | 31.0  | 217  | 0.1797          | 0.815    | 0.3714     | 0.8572 | 0.815    | 0.8038   | 0.3214 | 0.0588 |
| No log        | 32.0  | 224  | 0.1754          | 0.805    | 0.3679     | 0.7412 | 0.805    | 0.7883   | 0.3063 | 0.0563 |
| No log        | 33.0  | 231  | 0.1790          | 0.835    | 0.3736     | 0.8357 | 0.835    | 0.8128   | 0.3431 | 0.0497 |
| No log        | 34.0  | 238  | 0.1761          | 0.81     | 0.3744     | 0.7360 | 0.81     | 0.7907   | 0.3292 | 0.0526 |
| No log        | 35.0  | 245  | 0.1731          | 0.83     | 0.3744     | 0.7494 | 0.83     | 0.8202   | 0.3351 | 0.0540 |
| No log        | 36.0  | 252  | 0.1758          | 0.79     | 0.3738     | 0.9441 | 0.79     | 0.7710   | 0.3099 | 0.0625 |
| No log        | 37.0  | 259  | 0.1730          | 0.81     | 0.3785     | 0.9418 | 0.81     | 0.7939   | 0.3425 | 0.0577 |
| No log        | 38.0  | 266  | 0.1727          | 0.815    | 0.3752     | 0.7539 | 0.815    | 0.8001   | 0.3290 | 0.0540 |
| No log        | 39.0  | 273  | 0.1769          | 0.81     | 0.3754     | 0.9013 | 0.81     | 0.7888   | 0.3296 | 0.0563 |
| No log        | 40.0  | 280  | 0.1770          | 0.805    | 0.3809     | 0.7637 | 0.805    | 0.7809   | 0.3291 | 0.0519 |
| No log        | 41.0  | 287  | 0.1771          | 0.815    | 0.3814     | 0.7495 | 0.815    | 0.7993   | 0.3352 | 0.0565 |
| No log        | 42.0  | 294  | 0.1745          | 0.8      | 0.3807     | 0.8386 | 0.8000   | 0.7865   | 0.3212 | 0.0601 |
| No log        | 43.0  | 301  | 0.1700          | 0.825    | 0.3762     | 0.8216 | 0.825    | 0.8067   | 0.3420 | 0.0517 |
| No log        | 44.0  | 308  | 0.1686          | 0.825    | 0.3706     | 0.7310 | 0.825    | 0.8024   | 0.3448 | 0.0509 |
| No log        | 45.0  | 315  | 0.1692          | 0.81     | 0.3739     | 0.6805 | 0.81     | 0.7914   | 0.3397 | 0.0508 |
| No log        | 46.0  | 322  | 0.1697          | 0.825    | 0.3709     | 0.7482 | 0.825    | 0.7995   | 0.3364 | 0.0531 |
| No log        | 47.0  | 329  | 0.1681          | 0.805    | 0.3735     | 0.8810 | 0.805    | 0.7872   | 0.3388 | 0.0585 |
| No log        | 48.0  | 336  | 0.1667          | 0.815    | 0.3731     | 0.6788 | 0.815    | 0.7968   | 0.3427 | 0.0567 |
| No log        | 49.0  | 343  | 0.1690          | 0.82     | 0.3786     | 0.8693 | 0.82     | 0.7967   | 0.3507 | 0.0502 |
| No log        | 50.0  | 350  | 0.1668          | 0.82     | 0.3761     | 0.7854 | 0.82     | 0.8032   | 0.3509 | 0.0526 |
| No log        | 51.0  | 357  | 0.1659          | 0.82     | 0.3760     | 0.7437 | 0.82     | 0.8045   | 0.3374 | 0.0557 |
| No log        | 52.0  | 364  | 0.1663          | 0.805    | 0.3682     | 0.7932 | 0.805    | 0.7863   | 0.3171 | 0.0560 |
| No log        | 53.0  | 371  | 0.1649          | 0.805    | 0.3649     | 0.7249 | 0.805    | 0.7863   | 0.3139 | 0.0562 |
| No log        | 54.0  | 378  | 0.1654          | 0.815    | 0.3725     | 0.7390 | 0.815    | 0.7935   | 0.3273 | 0.0560 |
| No log        | 55.0  | 385  | 0.1667          | 0.84     | 0.3741     | 0.7324 | 0.8400   | 0.8279   | 0.3501 | 0.0513 |
| No log        | 56.0  | 392  | 0.1659          | 0.825    | 0.3718     | 0.7278 | 0.825    | 0.8058   | 0.3288 | 0.0522 |
| No log        | 57.0  | 399  | 0.1659          | 0.825    | 0.3731     | 0.7351 | 0.825    | 0.8084   | 0.3204 | 0.0537 |
| No log        | 58.0  | 406  | 0.1645          | 0.825    | 0.3730     | 0.7356 | 0.825    | 0.8068   | 0.3468 | 0.0524 |
| No log        | 59.0  | 413  | 0.1626          | 0.825    | 0.3715     | 0.7282 | 0.825    | 0.8040   | 0.3391 | 0.0527 |
| No log        | 60.0  | 420  | 0.1628          | 0.825    | 0.3698     | 0.7297 | 0.825    | 0.8056   | 0.3212 | 0.0534 |
| No log        | 61.0  | 427  | 0.1630          | 0.825    | 0.3719     | 0.7312 | 0.825    | 0.8065   | 0.3260 | 0.0533 |
| No log        | 62.0  | 434  | 0.1642          | 0.82     | 0.3714     | 0.7335 | 0.82     | 0.8040   | 0.3388 | 0.0549 |
| No log        | 63.0  | 441  | 0.1634          | 0.82     | 0.3733     | 0.7349 | 0.82     | 0.8011   | 0.3399 | 0.0553 |
| No log        | 64.0  | 448  | 0.1628          | 0.815    | 0.3710     | 0.7301 | 0.815    | 0.7974   | 0.3249 | 0.0532 |
| No log        | 65.0  | 455  | 0.1629          | 0.815    | 0.3704     | 0.7362 | 0.815    | 0.7981   | 0.3362 | 0.0541 |
| No log        | 66.0  | 462  | 0.1630          | 0.82     | 0.3727     | 0.7354 | 0.82     | 0.8024   | 0.3559 | 0.0526 |
| No log        | 67.0  | 469  | 0.1633          | 0.825    | 0.3733     | 0.7355 | 0.825    | 0.8038   | 0.3492 | 0.0526 |
| No log        | 68.0  | 476  | 0.1638          | 0.82     | 0.3724     | 0.7369 | 0.82     | 0.8040   | 0.3468 | 0.0550 |
| No log        | 69.0  | 483  | 0.1629          | 0.82     | 0.3717     | 0.7329 | 0.82     | 0.8040   | 0.3251 | 0.0536 |
| No log        | 70.0  | 490  | 0.1629          | 0.815    | 0.3709     | 0.7312 | 0.815    | 0.7947   | 0.3221 | 0.0541 |
| No log        | 71.0  | 497  | 0.1630          | 0.815    | 0.3718     | 0.7371 | 0.815    | 0.7973   | 0.3436 | 0.0545 |
| 0.1743        | 72.0  | 504  | 0.1631          | 0.815    | 0.3712     | 0.7350 | 0.815    | 0.7973   | 0.3264 | 0.0536 |
| 0.1743        | 73.0  | 511  | 0.1634          | 0.815    | 0.3721     | 0.7348 | 0.815    | 0.7981   | 0.3340 | 0.0543 |
| 0.1743        | 74.0  | 518  | 0.1631          | 0.815    | 0.3716     | 0.7332 | 0.815    | 0.7973   | 0.3279 | 0.0541 |
| 0.1743        | 75.0  | 525  | 0.1633          | 0.82     | 0.3720     | 0.7346 | 0.82     | 0.8008   | 0.3186 | 0.0542 |
| 0.1743        | 76.0  | 532  | 0.1631          | 0.815    | 0.3716     | 0.7342 | 0.815    | 0.7973   | 0.3189 | 0.0542 |
| 0.1743        | 77.0  | 539  | 0.1633          | 0.815    | 0.3718     | 0.7358 | 0.815    | 0.7973   | 0.3344 | 0.0542 |
| 0.1743        | 78.0  | 546  | 0.1633          | 0.815    | 0.3718     | 0.7363 | 0.815    | 0.7991   | 0.3342 | 0.0542 |
| 0.1743        | 79.0  | 553  | 0.1633          | 0.815    | 0.3718     | 0.7350 | 0.815    | 0.7973   | 0.3344 | 0.0543 |
| 0.1743        | 80.0  | 560  | 0.1634          | 0.815    | 0.3718     | 0.7354 | 0.815    | 0.7973   | 0.3136 | 0.0542 |
| 0.1743        | 81.0  | 567  | 0.1633          | 0.815    | 0.3721     | 0.7360 | 0.815    | 0.7973   | 0.3279 | 0.0543 |
| 0.1743        | 82.0  | 574  | 0.1634          | 0.815    | 0.3719     | 0.7358 | 0.815    | 0.7973   | 0.3276 | 0.0542 |
| 0.1743        | 83.0  | 581  | 0.1634          | 0.815    | 0.3720     | 0.7358 | 0.815    | 0.7973   | 0.3345 | 0.0542 |
| 0.1743        | 84.0  | 588  | 0.1633          | 0.815    | 0.3717     | 0.7352 | 0.815    | 0.7973   | 0.3275 | 0.0542 |
| 0.1743        | 85.0  | 595  | 0.1633          | 0.815    | 0.3720     | 0.7357 | 0.815    | 0.7973   | 0.3194 | 0.0541 |
| 0.1743        | 86.0  | 602  | 0.1634          | 0.815    | 0.3717     | 0.7361 | 0.815    | 0.7973   | 0.3276 | 0.0542 |
| 0.1743        | 87.0  | 609  | 0.1634          | 0.815    | 0.3719     | 0.7359 | 0.815    | 0.7973   | 0.3345 | 0.0542 |
| 0.1743        | 88.0  | 616  | 0.1634          | 0.815    | 0.3720     | 0.7359 | 0.815    | 0.7973   | 0.3278 | 0.0542 |
| 0.1743        | 89.0  | 623  | 0.1634          | 0.815    | 0.3718     | 0.7359 | 0.815    | 0.7973   | 0.3192 | 0.0543 |
| 0.1743        | 90.0  | 630  | 0.1635          | 0.815    | 0.3719     | 0.7359 | 0.815    | 0.7973   | 0.3278 | 0.0543 |
| 0.1743        | 91.0  | 637  | 0.1635          | 0.815    | 0.3719     | 0.7357 | 0.815    | 0.7973   | 0.3344 | 0.0541 |
| 0.1743        | 92.0  | 644  | 0.1635          | 0.815    | 0.3719     | 0.7361 | 0.815    | 0.7973   | 0.3278 | 0.0542 |
| 0.1743        | 93.0  | 651  | 0.1635          | 0.815    | 0.3719     | 0.7357 | 0.815    | 0.7973   | 0.3345 | 0.0542 |
| 0.1743        | 94.0  | 658  | 0.1635          | 0.815    | 0.3719     | 0.7356 | 0.815    | 0.7973   | 0.3261 | 0.0543 |
| 0.1743        | 95.0  | 665  | 0.1635          | 0.815    | 0.3719     | 0.7360 | 0.815    | 0.7973   | 0.3345 | 0.0542 |
| 0.1743        | 96.0  | 672  | 0.1635          | 0.815    | 0.3719     | 0.7357 | 0.815    | 0.7973   | 0.3278 | 0.0542 |
| 0.1743        | 97.0  | 679  | 0.1635          | 0.815    | 0.3719     | 0.7360 | 0.815    | 0.7973   | 0.3345 | 0.0542 |
| 0.1743        | 98.0  | 686  | 0.1635          | 0.815    | 0.3719     | 0.7360 | 0.815    | 0.7973   | 0.3278 | 0.0543 |
| 0.1743        | 99.0  | 693  | 0.1635          | 0.815    | 0.3719     | 0.7360 | 0.815    | 0.7973   | 0.3345 | 0.0542 |
| 0.1743        | 100.0 | 700  | 0.1635          | 0.815    | 0.3719     | 0.7360 | 0.815    | 0.7973   | 0.3345 | 0.0542 |


### Framework versions

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

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