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# 6_e_200-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: 0.5797
- Accuracy: 0.68
- Brier Loss: 0.4846
- Nll: 2.7977
- F1 Micro: 0.68
- F1 Macro: 0.6624
- Ece: 0.2589
- Aurc: 0.2179

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- 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   | 25   | 0.6199          | 0.545    | 0.5837     | 2.2367 | 0.545    | 0.4488   | 0.2385 | 0.2462 |
| No log        | 2.0   | 50   | 0.4278          | 0.72     | 0.4443     | 1.6749 | 0.72     | 0.7298   | 0.3095 | 0.1339 |
| No log        | 3.0   | 75   | 0.6756          | 0.625    | 0.4913     | 2.4923 | 0.625    | 0.5751   | 0.2278 | 0.1729 |
| No log        | 4.0   | 100  | 0.6851          | 0.615    | 0.5031     | 2.5374 | 0.615    | 0.5988   | 0.2487 | 0.1568 |
| No log        | 5.0   | 125  | 0.5550          | 0.69     | 0.4473     | 1.6315 | 0.69     | 0.6549   | 0.2726 | 0.1697 |
| No log        | 6.0   | 150  | 0.4135          | 0.79     | 0.3326     | 1.3743 | 0.79     | 0.7851   | 0.2019 | 0.0767 |
| No log        | 7.0   | 175  | 0.4111          | 0.77     | 0.3527     | 1.6472 | 0.7700   | 0.7388   | 0.1917 | 0.0849 |
| No log        | 8.0   | 200  | 0.4809          | 0.745    | 0.3805     | 2.1093 | 0.745    | 0.7260   | 0.2375 | 0.0818 |
| No log        | 9.0   | 225  | 0.6527          | 0.65     | 0.4651     | 2.5269 | 0.65     | 0.6271   | 0.2237 | 0.1333 |
| No log        | 10.0  | 250  | 0.5215          | 0.715    | 0.4203     | 1.7818 | 0.715    | 0.6875   | 0.2155 | 0.1328 |
| No log        | 11.0  | 275  | 0.5673          | 0.64     | 0.4965     | 2.1840 | 0.64     | 0.5458   | 0.2547 | 0.1750 |
| No log        | 12.0  | 300  | 0.4713          | 0.75     | 0.3879     | 2.0629 | 0.75     | 0.7397   | 0.2143 | 0.1262 |
| No log        | 13.0  | 325  | 0.5793          | 0.655    | 0.4791     | 2.6089 | 0.655    | 0.6206   | 0.2461 | 0.1870 |
| No log        | 14.0  | 350  | 0.6098          | 0.685    | 0.4375     | 2.0773 | 0.685    | 0.6802   | 0.2415 | 0.1480 |
| No log        | 15.0  | 375  | 0.5338          | 0.65     | 0.4777     | 2.1062 | 0.65     | 0.6267   | 0.2486 | 0.1577 |
| No log        | 16.0  | 400  | 0.6278          | 0.675    | 0.4482     | 2.3275 | 0.675    | 0.6822   | 0.2425 | 0.1606 |
| No log        | 17.0  | 425  | 0.5165          | 0.69     | 0.4524     | 2.1670 | 0.69     | 0.6661   | 0.2650 | 0.1554 |
| No log        | 18.0  | 450  | 0.6064          | 0.64     | 0.4978     | 2.5380 | 0.64     | 0.5838   | 0.2508 | 0.1850 |
| No log        | 19.0  | 475  | 0.6753          | 0.645    | 0.5125     | 2.4190 | 0.645    | 0.5875   | 0.2664 | 0.2124 |
| 0.3785        | 20.0  | 500  | 0.6946          | 0.65     | 0.5331     | 3.1366 | 0.65     | 0.6336   | 0.2715 | 0.2605 |
| 0.3785        | 21.0  | 525  | 0.5328          | 0.695    | 0.4699     | 2.8365 | 0.695    | 0.6863   | 0.2500 | 0.1660 |
| 0.3785        | 22.0  | 550  | 0.6684          | 0.62     | 0.5374     | 3.2087 | 0.62     | 0.6071   | 0.2363 | 0.2429 |
| 0.3785        | 23.0  | 575  | 0.7235          | 0.615    | 0.5613     | 3.4750 | 0.615    | 0.5866   | 0.2748 | 0.2185 |
| 0.3785        | 24.0  | 600  | 0.6748          | 0.67     | 0.5028     | 3.0615 | 0.67     | 0.6185   | 0.2697 | 0.2251 |
| 0.3785        | 25.0  | 625  | 0.6778          | 0.645    | 0.5068     | 2.7608 | 0.645    | 0.6235   | 0.2442 | 0.1589 |
| 0.3785        | 26.0  | 650  | 0.7163          | 0.6      | 0.5690     | 2.7443 | 0.6      | 0.5766   | 0.2655 | 0.2821 |
| 0.3785        | 27.0  | 675  | 0.7571          | 0.635    | 0.5278     | 3.3670 | 0.635    | 0.6085   | 0.2635 | 0.2025 |
| 0.3785        | 28.0  | 700  | 0.6955          | 0.605    | 0.5718     | 3.1717 | 0.605    | 0.5973   | 0.3092 | 0.2624 |
| 0.3785        | 29.0  | 725  | 0.7951          | 0.585    | 0.5869     | 3.2346 | 0.585    | 0.5777   | 0.2849 | 0.3039 |
| 0.3785        | 30.0  | 750  | 0.5426          | 0.655    | 0.4898     | 2.6384 | 0.655    | 0.6295   | 0.2758 | 0.1781 |
| 0.3785        | 31.0  | 775  | 0.7721          | 0.6      | 0.5956     | 3.5480 | 0.6      | 0.5717   | 0.2908 | 0.2548 |
| 0.3785        | 32.0  | 800  | 0.6102          | 0.65     | 0.4974     | 2.6613 | 0.65     | 0.6348   | 0.2529 | 0.1661 |
| 0.3785        | 33.0  | 825  | 0.7592          | 0.62     | 0.5666     | 3.5174 | 0.62     | 0.5736   | 0.2821 | 0.2752 |
| 0.3785        | 34.0  | 850  | 0.6516          | 0.655    | 0.5283     | 3.1254 | 0.655    | 0.6341   | 0.2596 | 0.1954 |
| 0.3785        | 35.0  | 875  | 0.6626          | 0.65     | 0.5329     | 2.9794 | 0.65     | 0.6120   | 0.2793 | 0.2390 |
| 0.3785        | 36.0  | 900  | 0.6939          | 0.66     | 0.5190     | 3.4020 | 0.66     | 0.6258   | 0.2473 | 0.1785 |
| 0.3785        | 37.0  | 925  | 0.7580          | 0.605    | 0.5970     | 3.1545 | 0.605    | 0.5466   | 0.2996 | 0.2424 |
| 0.3785        | 38.0  | 950  | 0.6088          | 0.655    | 0.5187     | 2.7205 | 0.655    | 0.6457   | 0.2636 | 0.2413 |
| 0.3785        | 39.0  | 975  | 0.7394          | 0.605    | 0.5815     | 2.8167 | 0.605    | 0.5798   | 0.2975 | 0.2782 |
| 0.0886        | 40.0  | 1000 | 0.6910          | 0.65     | 0.5015     | 2.9680 | 0.65     | 0.5993   | 0.2697 | 0.1652 |
| 0.0886        | 41.0  | 1025 | 0.6618          | 0.635    | 0.5752     | 3.5088 | 0.635    | 0.5937   | 0.2929 | 0.2653 |
| 0.0886        | 42.0  | 1050 | 0.7742          | 0.6      | 0.5556     | 3.5946 | 0.6      | 0.5644   | 0.2556 | 0.1974 |
| 0.0886        | 43.0  | 1075 | 0.7379          | 0.62     | 0.5589     | 2.7882 | 0.62     | 0.6042   | 0.3169 | 0.2143 |
| 0.0886        | 44.0  | 1100 | 0.6702          | 0.64     | 0.5359     | 2.9335 | 0.64     | 0.6088   | 0.2765 | 0.2133 |
| 0.0886        | 45.0  | 1125 | 0.8900          | 0.585    | 0.6173     | 3.8349 | 0.585    | 0.5639   | 0.2934 | 0.2364 |
| 0.0886        | 46.0  | 1150 | 0.7800          | 0.62     | 0.5707     | 3.2446 | 0.62     | 0.6171   | 0.3002 | 0.2156 |
| 0.0886        | 47.0  | 1175 | 0.8554          | 0.57     | 0.6256     | 3.6828 | 0.57     | 0.5583   | 0.3191 | 0.2611 |
| 0.0886        | 48.0  | 1200 | 0.6486          | 0.67     | 0.4911     | 3.4792 | 0.67     | 0.6449   | 0.2741 | 0.1870 |
| 0.0886        | 49.0  | 1225 | 0.7315          | 0.59     | 0.5829     | 3.4916 | 0.59     | 0.5963   | 0.2720 | 0.2101 |
| 0.0886        | 50.0  | 1250 | 0.6939          | 0.665    | 0.5022     | 2.9091 | 0.665    | 0.6362   | 0.2743 | 0.1829 |
| 0.0886        | 51.0  | 1275 | 0.7256          | 0.625    | 0.5687     | 3.4914 | 0.625    | 0.5740   | 0.2943 | 0.2493 |
| 0.0886        | 52.0  | 1300 | 0.6374          | 0.66     | 0.5144     | 2.7071 | 0.66     | 0.6297   | 0.2529 | 0.2006 |
| 0.0886        | 53.0  | 1325 | 0.7862          | 0.645    | 0.5470     | 3.2902 | 0.645    | 0.6385   | 0.2899 | 0.2053 |
| 0.0886        | 54.0  | 1350 | 0.7717          | 0.63     | 0.5762     | 3.8614 | 0.63     | 0.6027   | 0.2954 | 0.2150 |
| 0.0886        | 55.0  | 1375 | 0.6664          | 0.675    | 0.5120     | 3.1014 | 0.675    | 0.6582   | 0.2850 | 0.1842 |
| 0.0886        | 56.0  | 1400 | 0.6957          | 0.615    | 0.5602     | 3.0253 | 0.615    | 0.5977   | 0.3033 | 0.2229 |
| 0.0886        | 57.0  | 1425 | 0.6794          | 0.64     | 0.5581     | 3.0174 | 0.64     | 0.6205   | 0.2802 | 0.2056 |
| 0.0886        | 58.0  | 1450 | 0.6345          | 0.655    | 0.5162     | 2.7909 | 0.655    | 0.6422   | 0.2856 | 0.2789 |
| 0.0886        | 59.0  | 1475 | 0.6447          | 0.655    | 0.5271     | 2.9860 | 0.655    | 0.6432   | 0.2735 | 0.1774 |
| 0.0219        | 60.0  | 1500 | 0.7042          | 0.665    | 0.5404     | 3.1132 | 0.665    | 0.6268   | 0.2871 | 0.2981 |
| 0.0219        | 61.0  | 1525 | 0.7288          | 0.64     | 0.5486     | 3.3084 | 0.64     | 0.6225   | 0.2869 | 0.1861 |
| 0.0219        | 62.0  | 1550 | 0.6605          | 0.69     | 0.5078     | 2.9123 | 0.69     | 0.6642   | 0.2668 | 0.2487 |
| 0.0219        | 63.0  | 1575 | 0.5905          | 0.715    | 0.4712     | 3.4707 | 0.715    | 0.7013   | 0.2548 | 0.2257 |
| 0.0219        | 64.0  | 1600 | 0.6209          | 0.69     | 0.4940     | 2.6873 | 0.69     | 0.6770   | 0.2771 | 0.2263 |
| 0.0219        | 65.0  | 1625 | 0.6039          | 0.68     | 0.4914     | 2.6448 | 0.68     | 0.6620   | 0.2926 | 0.2184 |
| 0.0219        | 66.0  | 1650 | 0.5985          | 0.69     | 0.4918     | 2.7592 | 0.69     | 0.6757   | 0.2844 | 0.2181 |
| 0.0219        | 67.0  | 1675 | 0.5955          | 0.69     | 0.4903     | 2.7566 | 0.69     | 0.6757   | 0.2617 | 0.2227 |
| 0.0219        | 68.0  | 1700 | 0.5944          | 0.69     | 0.4898     | 2.7730 | 0.69     | 0.6757   | 0.2683 | 0.2211 |
| 0.0219        | 69.0  | 1725 | 0.5934          | 0.695    | 0.4893     | 2.7575 | 0.695    | 0.6823   | 0.2666 | 0.2171 |
| 0.0219        | 70.0  | 1750 | 0.5913          | 0.695    | 0.4890     | 2.7043 | 0.695    | 0.6823   | 0.2649 | 0.2160 |
| 0.0219        | 71.0  | 1775 | 0.5904          | 0.69     | 0.4888     | 2.7476 | 0.69     | 0.6742   | 0.2718 | 0.2163 |
| 0.0219        | 72.0  | 1800 | 0.5895          | 0.69     | 0.4883     | 2.7463 | 0.69     | 0.6742   | 0.2714 | 0.2160 |
| 0.0219        | 73.0  | 1825 | 0.5882          | 0.69     | 0.4877     | 2.7478 | 0.69     | 0.6742   | 0.2779 | 0.2171 |
| 0.0219        | 74.0  | 1850 | 0.5878          | 0.69     | 0.4876     | 2.7489 | 0.69     | 0.6742   | 0.2813 | 0.2169 |
| 0.0219        | 75.0  | 1875 | 0.5879          | 0.69     | 0.4871     | 2.7592 | 0.69     | 0.6742   | 0.2765 | 0.2185 |
| 0.0219        | 76.0  | 1900 | 0.5868          | 0.69     | 0.4870     | 2.8058 | 0.69     | 0.6742   | 0.2670 | 0.2183 |
| 0.0219        | 77.0  | 1925 | 0.5843          | 0.69     | 0.4864     | 2.8037 | 0.69     | 0.6745   | 0.2764 | 0.2185 |
| 0.0219        | 78.0  | 1950 | 0.5844          | 0.69     | 0.4862     | 2.8040 | 0.69     | 0.6745   | 0.2788 | 0.2191 |
| 0.0219        | 79.0  | 1975 | 0.5831          | 0.69     | 0.4857     | 2.8018 | 0.69     | 0.6745   | 0.2655 | 0.2178 |
| 0.0013        | 80.0  | 2000 | 0.5846          | 0.69     | 0.4858     | 2.8022 | 0.69     | 0.6745   | 0.2633 | 0.2182 |
| 0.0013        | 81.0  | 2025 | 0.5821          | 0.69     | 0.4851     | 2.8020 | 0.69     | 0.6745   | 0.2750 | 0.2177 |
| 0.0013        | 82.0  | 2050 | 0.5826          | 0.685    | 0.4852     | 2.8013 | 0.685    | 0.6713   | 0.2728 | 0.2180 |
| 0.0013        | 83.0  | 2075 | 0.5821          | 0.685    | 0.4851     | 2.8005 | 0.685    | 0.6713   | 0.2705 | 0.2179 |
| 0.0013        | 84.0  | 2100 | 0.5817          | 0.685    | 0.4850     | 2.8007 | 0.685    | 0.6713   | 0.2773 | 0.2180 |
| 0.0013        | 85.0  | 2125 | 0.5814          | 0.685    | 0.4849     | 2.7998 | 0.685    | 0.6713   | 0.2740 | 0.2176 |
| 0.0013        | 86.0  | 2150 | 0.5814          | 0.685    | 0.4848     | 2.7997 | 0.685    | 0.6713   | 0.2686 | 0.2174 |
| 0.0013        | 87.0  | 2175 | 0.5807          | 0.68     | 0.4847     | 2.7994 | 0.68     | 0.6624   | 0.2658 | 0.2186 |
| 0.0013        | 88.0  | 2200 | 0.5803          | 0.68     | 0.4845     | 2.7992 | 0.68     | 0.6624   | 0.2703 | 0.2180 |
| 0.0013        | 89.0  | 2225 | 0.5805          | 0.68     | 0.4846     | 2.7990 | 0.68     | 0.6624   | 0.2632 | 0.2194 |
| 0.0013        | 90.0  | 2250 | 0.5803          | 0.685    | 0.4846     | 2.7979 | 0.685    | 0.6703   | 0.2596 | 0.2183 |
| 0.0013        | 91.0  | 2275 | 0.5805          | 0.685    | 0.4847     | 2.7980 | 0.685    | 0.6703   | 0.2674 | 0.2183 |
| 0.0013        | 92.0  | 2300 | 0.5805          | 0.685    | 0.4846     | 2.7993 | 0.685    | 0.6703   | 0.2562 | 0.2181 |
| 0.0013        | 93.0  | 2325 | 0.5802          | 0.68     | 0.4847     | 2.7974 | 0.68     | 0.6624   | 0.2598 | 0.2182 |
| 0.0013        | 94.0  | 2350 | 0.5800          | 0.68     | 0.4846     | 2.7981 | 0.68     | 0.6624   | 0.2613 | 0.2175 |
| 0.0013        | 95.0  | 2375 | 0.5796          | 0.68     | 0.4846     | 2.7985 | 0.68     | 0.6624   | 0.2589 | 0.2179 |
| 0.0013        | 96.0  | 2400 | 0.5799          | 0.68     | 0.4846     | 2.7980 | 0.68     | 0.6624   | 0.2560 | 0.2183 |
| 0.0013        | 97.0  | 2425 | 0.5796          | 0.68     | 0.4846     | 2.7978 | 0.68     | 0.6624   | 0.2588 | 0.2175 |
| 0.0013        | 98.0  | 2450 | 0.5798          | 0.68     | 0.4846     | 2.7977 | 0.68     | 0.6624   | 0.2589 | 0.2179 |
| 0.0013        | 99.0  | 2475 | 0.5797          | 0.68     | 0.4846     | 2.7977 | 0.68     | 0.6624   | 0.2589 | 0.2178 |
| 0.0003        | 100.0 | 2500 | 0.5797          | 0.68     | 0.4846     | 2.7977 | 0.68     | 0.6624   | 0.2589 | 0.2179 |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.13.1
- Datasets 2.13.1
- Tokenizers 0.13.3

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