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# 39-tiny_tobacco3482_og_simkd

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: 239.0946
- Accuracy: 0.835
- Brier Loss: 0.3084
- Nll: 1.2679
- F1 Micro: 0.835
- F1 Macro: 0.8047
- Ece: 0.2467
- Aurc: 0.0448

## 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   | 246.9268        | 0.22     | 0.8877     | 7.2845 | 0.22     | 0.1442   | 0.2508 | 0.5734 |
| No log        | 2.0   | 100  | 245.5493        | 0.355    | 0.7851     | 4.2469 | 0.3550   | 0.2408   | 0.2761 | 0.4302 |
| No log        | 3.0   | 150  | 244.0258        | 0.58     | 0.6569     | 2.7197 | 0.58     | 0.4698   | 0.3335 | 0.2529 |
| No log        | 4.0   | 200  | 243.8010        | 0.615    | 0.5800     | 3.1495 | 0.615    | 0.4701   | 0.2865 | 0.1927 |
| No log        | 5.0   | 250  | 242.9670        | 0.64     | 0.5193     | 2.2510 | 0.64     | 0.4843   | 0.2774 | 0.1631 |
| No log        | 6.0   | 300  | 243.1274        | 0.62     | 0.5595     | 2.8430 | 0.62     | 0.4881   | 0.2980 | 0.1558 |
| No log        | 7.0   | 350  | 242.1450        | 0.675    | 0.4620     | 2.2479 | 0.675    | 0.5389   | 0.2322 | 0.1266 |
| No log        | 8.0   | 400  | 242.5806        | 0.63     | 0.5222     | 2.6597 | 0.63     | 0.5539   | 0.2649 | 0.1584 |
| No log        | 9.0   | 450  | 241.9880        | 0.755    | 0.4313     | 1.8660 | 0.755    | 0.6923   | 0.2780 | 0.1028 |
| 241.4671      | 10.0  | 500  | 241.9459        | 0.73     | 0.4274     | 1.9762 | 0.7300   | 0.6550   | 0.2539 | 0.0843 |
| 241.4671      | 11.0  | 550  | 241.4543        | 0.74     | 0.4410     | 1.7736 | 0.74     | 0.6867   | 0.2589 | 0.1197 |
| 241.4671      | 12.0  | 600  | 241.5311        | 0.79     | 0.3750     | 1.6579 | 0.79     | 0.7193   | 0.2754 | 0.0582 |
| 241.4671      | 13.0  | 650  | 241.6211        | 0.77     | 0.4231     | 1.4441 | 0.7700   | 0.7350   | 0.3134 | 0.0761 |
| 241.4671      | 14.0  | 700  | 241.2984        | 0.795    | 0.3898     | 1.5615 | 0.795    | 0.7650   | 0.2879 | 0.0721 |
| 241.4671      | 15.0  | 750  | 241.2752        | 0.81     | 0.3641     | 1.5167 | 0.81     | 0.7692   | 0.2956 | 0.0515 |
| 241.4671      | 16.0  | 800  | 240.9899        | 0.78     | 0.3821     | 1.7296 | 0.78     | 0.7434   | 0.2935 | 0.0688 |
| 241.4671      | 17.0  | 850  | 241.3208        | 0.81     | 0.3850     | 1.6487 | 0.81     | 0.7628   | 0.2946 | 0.0657 |
| 241.4671      | 18.0  | 900  | 241.0431        | 0.82     | 0.3678     | 1.5667 | 0.82     | 0.7701   | 0.3109 | 0.0504 |
| 241.4671      | 19.0  | 950  | 240.9436        | 0.815    | 0.3615     | 1.1826 | 0.815    | 0.7624   | 0.3019 | 0.0557 |
| 238.6853      | 20.0  | 1000 | 240.7993        | 0.83     | 0.3475     | 1.2078 | 0.83     | 0.7887   | 0.3062 | 0.0541 |
| 238.6853      | 21.0  | 1050 | 240.6124        | 0.825    | 0.3577     | 1.1927 | 0.825    | 0.7956   | 0.2883 | 0.0560 |
| 238.6853      | 22.0  | 1100 | 240.7105        | 0.815    | 0.3535     | 1.4564 | 0.815    | 0.7550   | 0.2814 | 0.0553 |
| 238.6853      | 23.0  | 1150 | 240.6886        | 0.815    | 0.3584     | 1.1556 | 0.815    | 0.7815   | 0.2993 | 0.0564 |
| 238.6853      | 24.0  | 1200 | 240.5978        | 0.84     | 0.3451     | 1.1351 | 0.8400   | 0.8002   | 0.2937 | 0.0485 |
| 238.6853      | 25.0  | 1250 | 240.3825        | 0.815    | 0.3453     | 1.2408 | 0.815    | 0.7918   | 0.2853 | 0.0525 |
| 238.6853      | 26.0  | 1300 | 240.2633        | 0.83     | 0.3431     | 1.3299 | 0.83     | 0.7883   | 0.2715 | 0.0562 |
| 238.6853      | 27.0  | 1350 | 240.5535        | 0.82     | 0.3475     | 1.4406 | 0.82     | 0.7874   | 0.2897 | 0.0536 |
| 238.6853      | 28.0  | 1400 | 240.3554        | 0.835    | 0.3447     | 1.2483 | 0.835    | 0.7947   | 0.3078 | 0.0464 |
| 238.6853      | 29.0  | 1450 | 240.2271        | 0.82     | 0.3274     | 1.5224 | 0.82     | 0.7862   | 0.2691 | 0.0467 |
| 237.7411      | 30.0  | 1500 | 240.2261        | 0.825    | 0.3388     | 1.2921 | 0.825    | 0.7939   | 0.2913 | 0.0485 |
| 237.7411      | 31.0  | 1550 | 240.4772        | 0.83     | 0.3474     | 1.3063 | 0.83     | 0.7823   | 0.2995 | 0.0516 |
| 237.7411      | 32.0  | 1600 | 240.2594        | 0.85     | 0.3509     | 1.3993 | 0.85     | 0.8184   | 0.3142 | 0.0496 |
| 237.7411      | 33.0  | 1650 | 239.9501        | 0.805    | 0.3413     | 1.2018 | 0.805    | 0.7630   | 0.2619 | 0.0592 |
| 237.7411      | 34.0  | 1700 | 240.2149        | 0.86     | 0.3409     | 1.2633 | 0.8600   | 0.8490   | 0.3229 | 0.0467 |
| 237.7411      | 35.0  | 1750 | 240.0215        | 0.82     | 0.3264     | 1.1435 | 0.82     | 0.7705   | 0.2538 | 0.0499 |
| 237.7411      | 36.0  | 1800 | 239.9490        | 0.85     | 0.3204     | 1.4364 | 0.85     | 0.8147   | 0.2752 | 0.0432 |
| 237.7411      | 37.0  | 1850 | 239.9360        | 0.825    | 0.3262     | 1.1487 | 0.825    | 0.7921   | 0.2706 | 0.0482 |
| 237.7411      | 38.0  | 1900 | 240.0647        | 0.855    | 0.3322     | 1.1655 | 0.855    | 0.8339   | 0.3053 | 0.0460 |
| 237.7411      | 39.0  | 1950 | 239.7761        | 0.825    | 0.3237     | 1.2252 | 0.825    | 0.7862   | 0.2732 | 0.0499 |
| 237.1023      | 40.0  | 2000 | 239.9426        | 0.83     | 0.3220     | 1.2096 | 0.83     | 0.7906   | 0.2748 | 0.0457 |
| 237.1023      | 41.0  | 2050 | 239.8765        | 0.835    | 0.3241     | 1.3547 | 0.835    | 0.7929   | 0.2661 | 0.0462 |
| 237.1023      | 42.0  | 2100 | 239.8423        | 0.835    | 0.3329     | 1.2423 | 0.835    | 0.8000   | 0.2955 | 0.0527 |
| 237.1023      | 43.0  | 2150 | 239.6674        | 0.83     | 0.3215     | 1.1217 | 0.83     | 0.8069   | 0.2597 | 0.0486 |
| 237.1023      | 44.0  | 2200 | 239.7237        | 0.81     | 0.3206     | 1.1322 | 0.81     | 0.7724   | 0.2500 | 0.0473 |
| 237.1023      | 45.0  | 2250 | 239.7981        | 0.82     | 0.3263     | 1.4167 | 0.82     | 0.7754   | 0.2786 | 0.0485 |
| 237.1023      | 46.0  | 2300 | 239.4825        | 0.83     | 0.3149     | 1.2610 | 0.83     | 0.7879   | 0.2436 | 0.0487 |
| 237.1023      | 47.0  | 2350 | 239.6016        | 0.83     | 0.3195     | 1.2602 | 0.83     | 0.7903   | 0.2631 | 0.0529 |
| 237.1023      | 48.0  | 2400 | 239.6693        | 0.84     | 0.3248     | 1.2935 | 0.8400   | 0.7992   | 0.2581 | 0.0505 |
| 237.1023      | 49.0  | 2450 | 239.6932        | 0.845    | 0.3235     | 1.1698 | 0.845    | 0.8024   | 0.2600 | 0.0459 |
| 236.6301      | 50.0  | 2500 | 239.5297        | 0.845    | 0.3151     | 1.4464 | 0.845    | 0.8057   | 0.2775 | 0.0467 |
| 236.6301      | 51.0  | 2550 | 239.6262        | 0.83     | 0.3236     | 1.2198 | 0.83     | 0.7879   | 0.2680 | 0.0466 |
| 236.6301      | 52.0  | 2600 | 239.4326        | 0.855    | 0.3111     | 1.2320 | 0.855    | 0.8338   | 0.2785 | 0.0452 |
| 236.6301      | 53.0  | 2650 | 239.5918        | 0.825    | 0.3171     | 1.2295 | 0.825    | 0.7966   | 0.2517 | 0.0440 |
| 236.6301      | 54.0  | 2700 | 239.5557        | 0.845    | 0.3215     | 1.1543 | 0.845    | 0.8027   | 0.2723 | 0.0453 |
| 236.6301      | 55.0  | 2750 | 239.4767        | 0.83     | 0.3113     | 1.0283 | 0.83     | 0.8107   | 0.2457 | 0.0446 |
| 236.6301      | 56.0  | 2800 | 239.3879        | 0.85     | 0.3112     | 1.2353 | 0.85     | 0.8146   | 0.2547 | 0.0449 |
| 236.6301      | 57.0  | 2850 | 239.3733        | 0.85     | 0.3104     | 1.3730 | 0.85     | 0.8236   | 0.2593 | 0.0451 |
| 236.6301      | 58.0  | 2900 | 239.4988        | 0.835    | 0.3174     | 1.3295 | 0.835    | 0.7984   | 0.2572 | 0.0468 |
| 236.6301      | 59.0  | 2950 | 239.3514        | 0.815    | 0.3103     | 1.2168 | 0.815    | 0.7746   | 0.2382 | 0.0453 |
| 236.2404      | 60.0  | 3000 | 239.3031        | 0.835    | 0.3083     | 1.2398 | 0.835    | 0.7944   | 0.2577 | 0.0479 |
| 236.2404      | 61.0  | 3050 | 239.3242        | 0.855    | 0.3095     | 1.2921 | 0.855    | 0.8307   | 0.2739 | 0.0438 |
| 236.2404      | 62.0  | 3100 | 239.3217        | 0.815    | 0.3135     | 1.2385 | 0.815    | 0.7799   | 0.2559 | 0.0481 |
| 236.2404      | 63.0  | 3150 | 239.2695        | 0.835    | 0.3102     | 1.0724 | 0.835    | 0.8068   | 0.2276 | 0.0471 |
| 236.2404      | 64.0  | 3200 | 239.3596        | 0.83     | 0.3124     | 1.1534 | 0.83     | 0.7911   | 0.2440 | 0.0442 |
| 236.2404      | 65.0  | 3250 | 239.2498        | 0.825    | 0.3097     | 1.2191 | 0.825    | 0.7804   | 0.2450 | 0.0459 |
| 236.2404      | 66.0  | 3300 | 239.1448        | 0.82     | 0.3020     | 1.0196 | 0.82     | 0.7825   | 0.2559 | 0.0452 |
| 236.2404      | 67.0  | 3350 | 239.1730        | 0.825    | 0.3017     | 1.1825 | 0.825    | 0.8065   | 0.2494 | 0.0444 |
| 236.2404      | 68.0  | 3400 | 239.3466        | 0.835    | 0.3159     | 1.2392 | 0.835    | 0.7973   | 0.2617 | 0.0448 |
| 236.2404      | 69.0  | 3450 | 239.1867        | 0.825    | 0.3058     | 1.1611 | 0.825    | 0.7940   | 0.2596 | 0.0450 |
| 235.9626      | 70.0  | 3500 | 239.2792        | 0.84     | 0.3106     | 1.1812 | 0.8400   | 0.8134   | 0.2590 | 0.0444 |
| 235.9626      | 71.0  | 3550 | 239.0603        | 0.82     | 0.3055     | 1.1710 | 0.82     | 0.7895   | 0.2251 | 0.0466 |
| 235.9626      | 72.0  | 3600 | 238.9947        | 0.815    | 0.3069     | 1.1766 | 0.815    | 0.7905   | 0.2315 | 0.0485 |
| 235.9626      | 73.0  | 3650 | 239.2322        | 0.83     | 0.3108     | 1.1724 | 0.83     | 0.8015   | 0.2595 | 0.0450 |
| 235.9626      | 74.0  | 3700 | 239.0134        | 0.825    | 0.3087     | 1.2661 | 0.825    | 0.7854   | 0.2352 | 0.0467 |
| 235.9626      | 75.0  | 3750 | 239.1055        | 0.825    | 0.3090     | 1.1748 | 0.825    | 0.7946   | 0.2483 | 0.0458 |
| 235.9626      | 76.0  | 3800 | 239.0925        | 0.825    | 0.3133     | 1.1843 | 0.825    | 0.7918   | 0.2466 | 0.0490 |
| 235.9626      | 77.0  | 3850 | 239.1586        | 0.835    | 0.3115     | 1.1877 | 0.835    | 0.8140   | 0.2498 | 0.0455 |
| 235.9626      | 78.0  | 3900 | 239.1394        | 0.83     | 0.3103     | 1.2698 | 0.83     | 0.7897   | 0.2424 | 0.0467 |
| 235.9626      | 79.0  | 3950 | 239.2314        | 0.83     | 0.3121     | 1.2519 | 0.83     | 0.7938   | 0.2378 | 0.0453 |
| 235.7667      | 80.0  | 4000 | 239.1433        | 0.83     | 0.3076     | 1.1725 | 0.83     | 0.7924   | 0.2412 | 0.0459 |
| 235.7667      | 81.0  | 4050 | 239.0533        | 0.83     | 0.3026     | 1.2551 | 0.83     | 0.7994   | 0.2661 | 0.0448 |
| 235.7667      | 82.0  | 4100 | 239.0847        | 0.825    | 0.3123     | 1.1798 | 0.825    | 0.7964   | 0.2611 | 0.0483 |
| 235.7667      | 83.0  | 4150 | 239.1199        | 0.835    | 0.3089     | 1.2642 | 0.835    | 0.8047   | 0.2551 | 0.0471 |
| 235.7667      | 84.0  | 4200 | 239.0148        | 0.835    | 0.3055     | 1.1264 | 0.835    | 0.7975   | 0.2341 | 0.0439 |
| 235.7667      | 85.0  | 4250 | 239.0657        | 0.825    | 0.3107     | 1.1645 | 0.825    | 0.7924   | 0.2363 | 0.0452 |
| 235.7667      | 86.0  | 4300 | 239.1023        | 0.83     | 0.3134     | 1.2785 | 0.83     | 0.7949   | 0.2353 | 0.0462 |
| 235.7667      | 87.0  | 4350 | 239.0670        | 0.83     | 0.3028     | 1.2849 | 0.83     | 0.7927   | 0.2295 | 0.0428 |
| 235.7667      | 88.0  | 4400 | 239.0111        | 0.82     | 0.3097     | 1.1759 | 0.82     | 0.7865   | 0.2447 | 0.0462 |
| 235.7667      | 89.0  | 4450 | 238.9677        | 0.845    | 0.2995     | 1.1189 | 0.845    | 0.8231   | 0.2402 | 0.0423 |
| 235.6149      | 90.0  | 4500 | 239.1255        | 0.83     | 0.3063     | 1.1282 | 0.83     | 0.8028   | 0.2695 | 0.0431 |
| 235.6149      | 91.0  | 4550 | 238.9880        | 0.815    | 0.3102     | 1.1766 | 0.815    | 0.7851   | 0.2388 | 0.0486 |
| 235.6149      | 92.0  | 4600 | 239.0212        | 0.84     | 0.3079     | 1.1941 | 0.8400   | 0.8121   | 0.2627 | 0.0442 |
| 235.6149      | 93.0  | 4650 | 238.9948        | 0.82     | 0.3077     | 1.1702 | 0.82     | 0.7874   | 0.2533 | 0.0468 |
| 235.6149      | 94.0  | 4700 | 239.0357        | 0.82     | 0.3103     | 1.1823 | 0.82     | 0.7878   | 0.2639 | 0.0471 |
| 235.6149      | 95.0  | 4750 | 238.9936        | 0.81     | 0.2995     | 1.1251 | 0.81     | 0.7738   | 0.2519 | 0.0447 |
| 235.6149      | 96.0  | 4800 | 239.1319        | 0.835    | 0.3138     | 1.1957 | 0.835    | 0.8045   | 0.2806 | 0.0455 |
| 235.6149      | 97.0  | 4850 | 239.0160        | 0.815    | 0.3061     | 1.1852 | 0.815    | 0.7756   | 0.2281 | 0.0453 |
| 235.6149      | 98.0  | 4900 | 239.1168        | 0.83     | 0.3152     | 1.2637 | 0.83     | 0.7997   | 0.2509 | 0.0474 |
| 235.6149      | 99.0  | 4950 | 239.0691        | 0.83     | 0.3085     | 1.1799 | 0.83     | 0.7998   | 0.2524 | 0.0439 |
| 235.5384      | 100.0 | 5000 | 239.0946        | 0.835    | 0.3084     | 1.2679 | 0.835    | 0.8047   | 0.2467 | 0.0448 |


### Framework versions

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

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