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# dit-base_tobacco-small_tobacco3482_simkd

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: 0.6962
- Accuracy: 0.85
- Brier Loss: 0.2700
- Nll: 0.9667
- F1 Micro: 0.85
- F1 Macro: 0.8241
- Ece: 0.2479
- Aurc: 0.0379

## 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: 16
- eval_batch_size: 16
- 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   | 50   | 1.0013          | 0.18     | 0.8965     | 4.5407 | 0.18     | 0.1379   | 0.2160 | 0.6680 |
| No log        | 2.0   | 100  | 0.9916          | 0.3      | 0.8871     | 3.1090 | 0.3      | 0.1526   | 0.3057 | 0.4735 |
| No log        | 3.0   | 150  | 0.9644          | 0.51     | 0.8433     | 2.4502 | 0.51     | 0.3257   | 0.4499 | 0.2544 |
| No log        | 4.0   | 200  | 0.9207          | 0.575    | 0.7585     | 2.1964 | 0.575    | 0.3958   | 0.4563 | 0.2193 |
| No log        | 5.0   | 250  | 0.8726          | 0.635    | 0.6620     | 2.3923 | 0.635    | 0.5105   | 0.4321 | 0.1730 |
| No log        | 6.0   | 300  | 0.8303          | 0.665    | 0.5604     | 1.4922 | 0.665    | 0.5869   | 0.3717 | 0.1305 |
| No log        | 7.0   | 350  | 0.7994          | 0.745    | 0.4490     | 1.3772 | 0.745    | 0.6541   | 0.3557 | 0.0853 |
| No log        | 8.0   | 400  | 0.7822          | 0.79     | 0.4124     | 1.2076 | 0.79     | 0.7109   | 0.3035 | 0.0873 |
| No log        | 9.0   | 450  | 0.7808          | 0.78     | 0.3955     | 1.5529 | 0.78     | 0.7041   | 0.3123 | 0.0763 |
| 0.8704        | 10.0  | 500  | 0.7923          | 0.695    | 0.4296     | 1.7171 | 0.695    | 0.6150   | 0.3012 | 0.1039 |
| 0.8704        | 11.0  | 550  | 0.7848          | 0.745    | 0.4327     | 1.6327 | 0.745    | 0.6972   | 0.2800 | 0.1321 |
| 0.8704        | 12.0  | 600  | 0.7600          | 0.825    | 0.3579     | 1.2569 | 0.825    | 0.7621   | 0.3015 | 0.0624 |
| 0.8704        | 13.0  | 650  | 0.7570          | 0.79     | 0.3554     | 1.4638 | 0.79     | 0.7706   | 0.2964 | 0.0621 |
| 0.8704        | 14.0  | 700  | 0.7504          | 0.81     | 0.3434     | 1.5597 | 0.81     | 0.7714   | 0.2930 | 0.0589 |
| 0.8704        | 15.0  | 750  | 0.7481          | 0.8      | 0.3439     | 1.3827 | 0.8000   | 0.7641   | 0.2805 | 0.0675 |
| 0.8704        | 16.0  | 800  | 0.7358          | 0.81     | 0.3357     | 1.4522 | 0.81     | 0.7889   | 0.3077 | 0.0610 |
| 0.8704        | 17.0  | 850  | 0.7294          | 0.82     | 0.3179     | 1.0458 | 0.82     | 0.7820   | 0.2909 | 0.0564 |
| 0.8704        | 18.0  | 900  | 0.7229          | 0.815    | 0.3092     | 1.2562 | 0.815    | 0.7862   | 0.2719 | 0.0496 |
| 0.8704        | 19.0  | 950  | 0.7186          | 0.825    | 0.3069     | 1.0425 | 0.825    | 0.7977   | 0.2824 | 0.0558 |
| 0.6968        | 20.0  | 1000 | 0.7156          | 0.83     | 0.3031     | 0.9897 | 0.83     | 0.8039   | 0.2660 | 0.0490 |
| 0.6968        | 21.0  | 1050 | 0.7135          | 0.82     | 0.3014     | 1.0562 | 0.82     | 0.7887   | 0.2745 | 0.0462 |
| 0.6968        | 22.0  | 1100 | 0.7116          | 0.835    | 0.2997     | 0.9822 | 0.835    | 0.8102   | 0.2817 | 0.0452 |
| 0.6968        | 23.0  | 1150 | 0.7114          | 0.82     | 0.3047     | 0.9197 | 0.82     | 0.7937   | 0.2669 | 0.0484 |
| 0.6968        | 24.0  | 1200 | 0.7111          | 0.8      | 0.3032     | 0.9744 | 0.8000   | 0.7690   | 0.2624 | 0.0504 |
| 0.6968        | 25.0  | 1250 | 0.7076          | 0.805    | 0.3025     | 0.9884 | 0.805    | 0.7677   | 0.2538 | 0.0478 |
| 0.6968        | 26.0  | 1300 | 0.7074          | 0.82     | 0.3037     | 0.9954 | 0.82     | 0.7877   | 0.2592 | 0.0496 |
| 0.6968        | 27.0  | 1350 | 0.7053          | 0.825    | 0.2998     | 0.9712 | 0.825    | 0.7885   | 0.2628 | 0.0454 |
| 0.6968        | 28.0  | 1400 | 0.7046          | 0.82     | 0.2936     | 0.9780 | 0.82     | 0.7886   | 0.2573 | 0.0438 |
| 0.6968        | 29.0  | 1450 | 0.7068          | 0.82     | 0.3000     | 0.9943 | 0.82     | 0.7895   | 0.2382 | 0.0447 |
| 0.6551        | 30.0  | 1500 | 0.7045          | 0.83     | 0.2881     | 0.9107 | 0.83     | 0.8010   | 0.2363 | 0.0439 |
| 0.6551        | 31.0  | 1550 | 0.7033          | 0.825    | 0.2936     | 0.9794 | 0.825    | 0.7858   | 0.2556 | 0.0433 |
| 0.6551        | 32.0  | 1600 | 0.7014          | 0.82     | 0.2890     | 0.9799 | 0.82     | 0.7895   | 0.2495 | 0.0418 |
| 0.6551        | 33.0  | 1650 | 0.7020          | 0.815    | 0.2921     | 0.9658 | 0.815    | 0.7820   | 0.2556 | 0.0449 |
| 0.6551        | 34.0  | 1700 | 0.7012          | 0.835    | 0.2885     | 1.0419 | 0.835    | 0.8042   | 0.2581 | 0.0417 |
| 0.6551        | 35.0  | 1750 | 0.7013          | 0.835    | 0.2902     | 0.9773 | 0.835    | 0.8035   | 0.2522 | 0.0435 |
| 0.6551        | 36.0  | 1800 | 0.7016          | 0.825    | 0.2884     | 0.9815 | 0.825    | 0.7851   | 0.2518 | 0.0432 |
| 0.6551        | 37.0  | 1850 | 0.7007          | 0.835    | 0.2888     | 0.9724 | 0.835    | 0.8133   | 0.2486 | 0.0438 |
| 0.6551        | 38.0  | 1900 | 0.6984          | 0.825    | 0.2847     | 0.9650 | 0.825    | 0.7897   | 0.2487 | 0.0415 |
| 0.6551        | 39.0  | 1950 | 0.7001          | 0.84     | 0.2843     | 1.0535 | 0.8400   | 0.8104   | 0.2566 | 0.0418 |
| 0.6381        | 40.0  | 2000 | 0.6990          | 0.825    | 0.2843     | 0.9673 | 0.825    | 0.7963   | 0.2396 | 0.0429 |
| 0.6381        | 41.0  | 2050 | 0.7002          | 0.84     | 0.2875     | 1.0599 | 0.8400   | 0.8098   | 0.2618 | 0.0413 |
| 0.6381        | 42.0  | 2100 | 0.6967          | 0.83     | 0.2791     | 0.9676 | 0.83     | 0.7929   | 0.2441 | 0.0403 |
| 0.6381        | 43.0  | 2150 | 0.6978          | 0.835    | 0.2802     | 0.9771 | 0.835    | 0.8071   | 0.2526 | 0.0416 |
| 0.6381        | 44.0  | 2200 | 0.6969          | 0.84     | 0.2795     | 0.9478 | 0.8400   | 0.8164   | 0.2464 | 0.0418 |
| 0.6381        | 45.0  | 2250 | 0.6971          | 0.835    | 0.2760     | 0.9712 | 0.835    | 0.8030   | 0.2333 | 0.0392 |
| 0.6381        | 46.0  | 2300 | 0.6985          | 0.84     | 0.2813     | 0.9692 | 0.8400   | 0.8072   | 0.2403 | 0.0404 |
| 0.6381        | 47.0  | 2350 | 0.6976          | 0.835    | 0.2796     | 1.0420 | 0.835    | 0.8042   | 0.2374 | 0.0406 |
| 0.6381        | 48.0  | 2400 | 0.6965          | 0.85     | 0.2778     | 0.9753 | 0.85     | 0.8205   | 0.2653 | 0.0403 |
| 0.6381        | 49.0  | 2450 | 0.6969          | 0.825    | 0.2747     | 0.9606 | 0.825    | 0.7871   | 0.2478 | 0.0394 |
| 0.6274        | 50.0  | 2500 | 0.6954          | 0.835    | 0.2746     | 0.9572 | 0.835    | 0.8070   | 0.2395 | 0.0406 |
| 0.6274        | 51.0  | 2550 | 0.6972          | 0.835    | 0.2755     | 1.0383 | 0.835    | 0.8070   | 0.2484 | 0.0391 |
| 0.6274        | 52.0  | 2600 | 0.6955          | 0.83     | 0.2752     | 0.9699 | 0.83     | 0.7998   | 0.2562 | 0.0406 |
| 0.6274        | 53.0  | 2650 | 0.6950          | 0.835    | 0.2693     | 0.9563 | 0.835    | 0.8030   | 0.2300 | 0.0373 |
| 0.6274        | 54.0  | 2700 | 0.6960          | 0.83     | 0.2727     | 0.9646 | 0.83     | 0.7977   | 0.2347 | 0.0399 |
| 0.6274        | 55.0  | 2750 | 0.6946          | 0.83     | 0.2711     | 0.9603 | 0.83     | 0.8058   | 0.2279 | 0.0384 |
| 0.6274        | 56.0  | 2800 | 0.6940          | 0.835    | 0.2726     | 0.9579 | 0.835    | 0.8088   | 0.2478 | 0.0380 |
| 0.6274        | 57.0  | 2850 | 0.6951          | 0.835    | 0.2732     | 0.9594 | 0.835    | 0.8090   | 0.2336 | 0.0418 |
| 0.6274        | 58.0  | 2900 | 0.6936          | 0.84     | 0.2684     | 0.9575 | 0.8400   | 0.8079   | 0.2490 | 0.0373 |
| 0.6274        | 59.0  | 2950 | 0.6949          | 0.835    | 0.2701     | 0.9543 | 0.835    | 0.8088   | 0.2261 | 0.0389 |
| 0.6207        | 60.0  | 3000 | 0.6939          | 0.84     | 0.2697     | 0.9574 | 0.8400   | 0.8161   | 0.2339 | 0.0378 |
| 0.6207        | 61.0  | 3050 | 0.6952          | 0.84     | 0.2706     | 0.9611 | 0.8400   | 0.8080   | 0.2306 | 0.0379 |
| 0.6207        | 62.0  | 3100 | 0.6940          | 0.835    | 0.2691     | 0.9523 | 0.835    | 0.8086   | 0.2451 | 0.0382 |
| 0.6207        | 63.0  | 3150 | 0.6946          | 0.835    | 0.2672     | 0.9627 | 0.835    | 0.8088   | 0.2347 | 0.0374 |
| 0.6207        | 64.0  | 3200 | 0.6949          | 0.84     | 0.2713     | 0.9602 | 0.8400   | 0.8139   | 0.2404 | 0.0384 |
| 0.6207        | 65.0  | 3250 | 0.6944          | 0.835    | 0.2662     | 0.9603 | 0.835    | 0.8079   | 0.2308 | 0.0377 |
| 0.6207        | 66.0  | 3300 | 0.6946          | 0.835    | 0.2698     | 0.9593 | 0.835    | 0.8088   | 0.2352 | 0.0390 |
| 0.6207        | 67.0  | 3350 | 0.6934          | 0.83     | 0.2658     | 0.9558 | 0.83     | 0.8060   | 0.2260 | 0.0384 |
| 0.6207        | 68.0  | 3400 | 0.6944          | 0.83     | 0.2689     | 0.9517 | 0.83     | 0.8058   | 0.2208 | 0.0399 |
| 0.6207        | 69.0  | 3450 | 0.6946          | 0.835    | 0.2698     | 0.9553 | 0.835    | 0.8042   | 0.2331 | 0.0383 |
| 0.6156        | 70.0  | 3500 | 0.6948          | 0.83     | 0.2690     | 0.9549 | 0.83     | 0.8058   | 0.2280 | 0.0391 |
| 0.6156        | 71.0  | 3550 | 0.6936          | 0.84     | 0.2676     | 0.9532 | 0.8400   | 0.8122   | 0.2346 | 0.0383 |
| 0.6156        | 72.0  | 3600 | 0.6946          | 0.835    | 0.2667     | 0.9545 | 0.835    | 0.8088   | 0.2492 | 0.0379 |
| 0.6156        | 73.0  | 3650 | 0.6939          | 0.84     | 0.2670     | 0.9534 | 0.8400   | 0.8139   | 0.2466 | 0.0377 |
| 0.6156        | 74.0  | 3700 | 0.6948          | 0.835    | 0.2695     | 0.9522 | 0.835    | 0.8086   | 0.2312 | 0.0390 |
| 0.6156        | 75.0  | 3750 | 0.6951          | 0.835    | 0.2701     | 0.9622 | 0.835    | 0.8111   | 0.2158 | 0.0397 |
| 0.6156        | 76.0  | 3800 | 0.6949          | 0.84     | 0.2682     | 0.9606 | 0.8400   | 0.8139   | 0.2415 | 0.0382 |
| 0.6156        | 77.0  | 3850 | 0.6950          | 0.84     | 0.2684     | 0.9629 | 0.8400   | 0.8118   | 0.2493 | 0.0381 |
| 0.6156        | 78.0  | 3900 | 0.6946          | 0.835    | 0.2685     | 0.9522 | 0.835    | 0.8111   | 0.2360 | 0.0390 |
| 0.6156        | 79.0  | 3950 | 0.6944          | 0.84     | 0.2668     | 0.9544 | 0.8400   | 0.8118   | 0.2377 | 0.0372 |
| 0.612         | 80.0  | 4000 | 0.6954          | 0.84     | 0.2692     | 0.9579 | 0.8400   | 0.8139   | 0.2321 | 0.0381 |
| 0.612         | 81.0  | 4050 | 0.6956          | 0.84     | 0.2701     | 0.9606 | 0.8400   | 0.8139   | 0.2354 | 0.0382 |
| 0.612         | 82.0  | 4100 | 0.6952          | 0.835    | 0.2686     | 0.9600 | 0.835    | 0.8086   | 0.2540 | 0.0381 |
| 0.612         | 83.0  | 4150 | 0.6955          | 0.835    | 0.2689     | 0.9571 | 0.835    | 0.8086   | 0.2465 | 0.0383 |
| 0.612         | 84.0  | 4200 | 0.6952          | 0.84     | 0.2689     | 0.9583 | 0.8400   | 0.8159   | 0.2308 | 0.0387 |
| 0.612         | 85.0  | 4250 | 0.6956          | 0.835    | 0.2702     | 0.9618 | 0.835    | 0.8042   | 0.2365 | 0.0386 |
| 0.612         | 86.0  | 4300 | 0.6950          | 0.835    | 0.2683     | 0.9572 | 0.835    | 0.8086   | 0.2228 | 0.0382 |
| 0.612         | 87.0  | 4350 | 0.6949          | 0.84     | 0.2692     | 0.9583 | 0.8400   | 0.8118   | 0.2497 | 0.0381 |
| 0.612         | 88.0  | 4400 | 0.6953          | 0.845    | 0.2695     | 0.9617 | 0.845    | 0.8209   | 0.2558 | 0.0386 |
| 0.612         | 89.0  | 4450 | 0.6952          | 0.845    | 0.2689     | 0.9611 | 0.845    | 0.8209   | 0.2251 | 0.0383 |
| 0.6097        | 90.0  | 4500 | 0.6961          | 0.835    | 0.2701     | 0.9645 | 0.835    | 0.8042   | 0.2444 | 0.0386 |
| 0.6097        | 91.0  | 4550 | 0.6954          | 0.845    | 0.2689     | 0.9619 | 0.845    | 0.8209   | 0.2324 | 0.0383 |
| 0.6097        | 92.0  | 4600 | 0.6959          | 0.845    | 0.2700     | 0.9636 | 0.845    | 0.8209   | 0.2277 | 0.0388 |
| 0.6097        | 93.0  | 4650 | 0.6959          | 0.85     | 0.2694     | 0.9654 | 0.85     | 0.8241   | 0.2396 | 0.0379 |
| 0.6097        | 94.0  | 4700 | 0.6960          | 0.85     | 0.2696     | 0.9643 | 0.85     | 0.8241   | 0.2471 | 0.0379 |
| 0.6097        | 95.0  | 4750 | 0.6959          | 0.85     | 0.2694     | 0.9650 | 0.85     | 0.8241   | 0.2233 | 0.0378 |
| 0.6097        | 96.0  | 4800 | 0.6962          | 0.845    | 0.2700     | 0.9666 | 0.845    | 0.8144   | 0.2558 | 0.0382 |
| 0.6097        | 97.0  | 4850 | 0.6962          | 0.85     | 0.2699     | 0.9662 | 0.85     | 0.8241   | 0.2400 | 0.0381 |
| 0.6097        | 98.0  | 4900 | 0.6962          | 0.85     | 0.2700     | 0.9662 | 0.85     | 0.8241   | 0.2396 | 0.0380 |
| 0.6097        | 99.0  | 4950 | 0.6963          | 0.85     | 0.2700     | 0.9667 | 0.85     | 0.8241   | 0.2478 | 0.0379 |
| 0.6083        | 100.0 | 5000 | 0.6962          | 0.85     | 0.2700     | 0.9667 | 0.85     | 0.8241   | 0.2479 | 0.0379 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.2.0.dev20231112+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1

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