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# 114-tiny_tobacco3482_kd_CEKD_t2.5_a0.5

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: 0.5018
- Accuracy: 0.81
- Brier Loss: 0.3510
- Nll: 1.3312
- F1 Micro: 0.81
- F1 Macro: 0.7895
- Ece: 0.2880
- Aurc: 0.0537

## 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: 64
- eval_batch_size: 64
- 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   | 13   | 1.4179          | 0.225    | 0.8892     | 8.1717 | 0.225    | 0.1452   | 0.3025 | 0.7575 |
| No log        | 2.0   | 26   | 1.0222          | 0.44     | 0.7148     | 3.7941 | 0.44     | 0.3487   | 0.2946 | 0.3460 |
| No log        | 3.0   | 39   | 0.8765          | 0.57     | 0.5993     | 2.4902 | 0.57     | 0.4787   | 0.2800 | 0.2411 |
| No log        | 4.0   | 52   | 0.7663          | 0.645    | 0.5127     | 1.8672 | 0.645    | 0.5731   | 0.2922 | 0.1395 |
| No log        | 5.0   | 65   | 0.7017          | 0.695    | 0.4672     | 1.3663 | 0.695    | 0.6567   | 0.3016 | 0.1153 |
| No log        | 6.0   | 78   | 0.6744          | 0.725    | 0.4267     | 1.5639 | 0.7250   | 0.6508   | 0.2743 | 0.1066 |
| No log        | 7.0   | 91   | 0.6457          | 0.735    | 0.4093     | 1.5745 | 0.735    | 0.7161   | 0.2659 | 0.0897 |
| No log        | 8.0   | 104  | 0.6701          | 0.715    | 0.4180     | 1.7405 | 0.715    | 0.6768   | 0.2274 | 0.1123 |
| No log        | 9.0   | 117  | 0.6394          | 0.735    | 0.4147     | 1.5335 | 0.735    | 0.6938   | 0.2380 | 0.1089 |
| No log        | 10.0  | 130  | 0.6231          | 0.795    | 0.4000     | 1.4767 | 0.795    | 0.7795   | 0.3033 | 0.0702 |
| No log        | 11.0  | 143  | 0.6335          | 0.74     | 0.3955     | 2.0438 | 0.74     | 0.7274   | 0.2632 | 0.0900 |
| No log        | 12.0  | 156  | 0.5905          | 0.745    | 0.3898     | 1.6288 | 0.745    | 0.7078   | 0.2524 | 0.0808 |
| No log        | 13.0  | 169  | 0.6359          | 0.72     | 0.4279     | 2.0889 | 0.72     | 0.7190   | 0.2676 | 0.1137 |
| No log        | 14.0  | 182  | 0.5462          | 0.78     | 0.3627     | 1.5296 | 0.78     | 0.7550   | 0.2957 | 0.0678 |
| No log        | 15.0  | 195  | 0.5639          | 0.76     | 0.3913     | 1.6057 | 0.76     | 0.7296   | 0.2769 | 0.0763 |
| No log        | 16.0  | 208  | 0.5731          | 0.77     | 0.3957     | 1.7224 | 0.7700   | 0.7444   | 0.3190 | 0.0661 |
| No log        | 17.0  | 221  | 0.5561          | 0.745    | 0.3842     | 1.3096 | 0.745    | 0.7130   | 0.2562 | 0.0784 |
| No log        | 18.0  | 234  | 0.5559          | 0.755    | 0.3880     | 1.5937 | 0.755    | 0.7263   | 0.2810 | 0.0798 |
| No log        | 19.0  | 247  | 0.5454          | 0.8      | 0.3824     | 1.4121 | 0.8000   | 0.7875   | 0.3284 | 0.0595 |
| No log        | 20.0  | 260  | 0.5327          | 0.78     | 0.3638     | 1.4363 | 0.78     | 0.7462   | 0.2774 | 0.0633 |
| No log        | 21.0  | 273  | 0.5291          | 0.775    | 0.3596     | 1.5236 | 0.775    | 0.7470   | 0.2902 | 0.0686 |
| No log        | 22.0  | 286  | 0.5175          | 0.79     | 0.3597     | 1.2045 | 0.79     | 0.7583   | 0.3013 | 0.0547 |
| No log        | 23.0  | 299  | 0.5160          | 0.83     | 0.3560     | 1.4152 | 0.83     | 0.8028   | 0.3339 | 0.0545 |
| No log        | 24.0  | 312  | 0.5473          | 0.79     | 0.3736     | 1.5232 | 0.79     | 0.7719   | 0.2815 | 0.0842 |
| No log        | 25.0  | 325  | 0.5270          | 0.805    | 0.3685     | 1.5013 | 0.805    | 0.7801   | 0.2881 | 0.0606 |
| No log        | 26.0  | 338  | 0.5032          | 0.815    | 0.3444     | 1.2979 | 0.815    | 0.7913   | 0.2776 | 0.0544 |
| No log        | 27.0  | 351  | 0.5245          | 0.79     | 0.3607     | 1.4567 | 0.79     | 0.7767   | 0.2932 | 0.0658 |
| No log        | 28.0  | 364  | 0.5192          | 0.775    | 0.3636     | 1.3492 | 0.775    | 0.7445   | 0.2730 | 0.0627 |
| No log        | 29.0  | 377  | 0.5219          | 0.79     | 0.3595     | 1.3888 | 0.79     | 0.7590   | 0.2956 | 0.0627 |
| No log        | 30.0  | 390  | 0.5138          | 0.82     | 0.3548     | 1.4869 | 0.82     | 0.7911   | 0.3138 | 0.0579 |
| No log        | 31.0  | 403  | 0.5110          | 0.8      | 0.3523     | 1.3410 | 0.8000   | 0.7800   | 0.3211 | 0.0535 |
| No log        | 32.0  | 416  | 0.5059          | 0.825    | 0.3517     | 1.3191 | 0.825    | 0.8090   | 0.3256 | 0.0499 |
| No log        | 33.0  | 429  | 0.5060          | 0.805    | 0.3487     | 1.4018 | 0.805    | 0.7850   | 0.2882 | 0.0568 |
| No log        | 34.0  | 442  | 0.5063          | 0.79     | 0.3558     | 1.4104 | 0.79     | 0.7607   | 0.2863 | 0.0593 |
| No log        | 35.0  | 455  | 0.4944          | 0.81     | 0.3426     | 1.3328 | 0.81     | 0.7918   | 0.2916 | 0.0465 |
| No log        | 36.0  | 468  | 0.4999          | 0.815    | 0.3476     | 1.3893 | 0.815    | 0.7973   | 0.2954 | 0.0534 |
| No log        | 37.0  | 481  | 0.5014          | 0.8      | 0.3487     | 1.3948 | 0.8000   | 0.7800   | 0.3012 | 0.0574 |
| No log        | 38.0  | 494  | 0.5013          | 0.81     | 0.3500     | 1.3885 | 0.81     | 0.7896   | 0.2923 | 0.0537 |
| 0.3577        | 39.0  | 507  | 0.5016          | 0.81     | 0.3495     | 1.3905 | 0.81     | 0.7927   | 0.3037 | 0.0565 |
| 0.3577        | 40.0  | 520  | 0.4999          | 0.805    | 0.3491     | 1.3888 | 0.805    | 0.7850   | 0.2920 | 0.0547 |
| 0.3577        | 41.0  | 533  | 0.5014          | 0.805    | 0.3509     | 1.3877 | 0.805    | 0.7878   | 0.3036 | 0.0546 |
| 0.3577        | 42.0  | 546  | 0.4997          | 0.805    | 0.3487     | 1.3352 | 0.805    | 0.7850   | 0.2921 | 0.0537 |
| 0.3577        | 43.0  | 559  | 0.5012          | 0.81     | 0.3508     | 1.3924 | 0.81     | 0.7882   | 0.3171 | 0.0542 |
| 0.3577        | 44.0  | 572  | 0.5014          | 0.805    | 0.3504     | 1.3910 | 0.805    | 0.7878   | 0.2963 | 0.0545 |
| 0.3577        | 45.0  | 585  | 0.5008          | 0.805    | 0.3500     | 1.3281 | 0.805    | 0.7878   | 0.2871 | 0.0539 |
| 0.3577        | 46.0  | 598  | 0.5014          | 0.805    | 0.3512     | 1.3288 | 0.805    | 0.7850   | 0.3028 | 0.0542 |
| 0.3577        | 47.0  | 611  | 0.5005          | 0.805    | 0.3502     | 1.3282 | 0.805    | 0.7864   | 0.3115 | 0.0531 |
| 0.3577        | 48.0  | 624  | 0.5010          | 0.805    | 0.3510     | 1.3280 | 0.805    | 0.7878   | 0.3022 | 0.0542 |
| 0.3577        | 49.0  | 637  | 0.5014          | 0.805    | 0.3502     | 1.3334 | 0.805    | 0.7864   | 0.3023 | 0.0543 |
| 0.3577        | 50.0  | 650  | 0.5016          | 0.805    | 0.3509     | 1.3344 | 0.805    | 0.7878   | 0.3095 | 0.0547 |
| 0.3577        | 51.0  | 663  | 0.5015          | 0.805    | 0.3507     | 1.3325 | 0.805    | 0.7878   | 0.3089 | 0.0543 |
| 0.3577        | 52.0  | 676  | 0.5009          | 0.81     | 0.3505     | 1.3292 | 0.81     | 0.7908   | 0.3082 | 0.0543 |
| 0.3577        | 53.0  | 689  | 0.5012          | 0.81     | 0.3506     | 1.3313 | 0.81     | 0.7923   | 0.3008 | 0.0539 |
| 0.3577        | 54.0  | 702  | 0.5012          | 0.805    | 0.3506     | 1.3284 | 0.805    | 0.7892   | 0.2850 | 0.0539 |
| 0.3577        | 55.0  | 715  | 0.5012          | 0.81     | 0.3506     | 1.3288 | 0.81     | 0.7894   | 0.2940 | 0.0537 |
| 0.3577        | 56.0  | 728  | 0.5017          | 0.805    | 0.3508     | 1.3284 | 0.805    | 0.7892   | 0.2967 | 0.0544 |
| 0.3577        | 57.0  | 741  | 0.5017          | 0.81     | 0.3510     | 1.3316 | 0.81     | 0.7895   | 0.2838 | 0.0542 |
| 0.3577        | 58.0  | 754  | 0.5013          | 0.815    | 0.3508     | 1.3299 | 0.815    | 0.7940   | 0.2792 | 0.0539 |
| 0.3577        | 59.0  | 767  | 0.5015          | 0.81     | 0.3508     | 1.3326 | 0.81     | 0.7910   | 0.2894 | 0.0538 |
| 0.3577        | 60.0  | 780  | 0.5014          | 0.81     | 0.3505     | 1.3305 | 0.81     | 0.7910   | 0.2891 | 0.0540 |
| 0.3577        | 61.0  | 793  | 0.5016          | 0.81     | 0.3508     | 1.3305 | 0.81     | 0.7910   | 0.3138 | 0.0538 |
| 0.3577        | 62.0  | 806  | 0.5015          | 0.815    | 0.3507     | 1.3329 | 0.815    | 0.7952   | 0.2835 | 0.0538 |
| 0.3577        | 63.0  | 819  | 0.5017          | 0.81     | 0.3509     | 1.3288 | 0.81     | 0.7895   | 0.2841 | 0.0542 |
| 0.3577        | 64.0  | 832  | 0.5018          | 0.81     | 0.3511     | 1.3311 | 0.81     | 0.7895   | 0.2908 | 0.0540 |
| 0.3577        | 65.0  | 845  | 0.5015          | 0.815    | 0.3509     | 1.3310 | 0.815    | 0.7940   | 0.3124 | 0.0539 |
| 0.3577        | 66.0  | 858  | 0.5014          | 0.81     | 0.3507     | 1.3273 | 0.81     | 0.7923   | 0.3039 | 0.0536 |
| 0.3577        | 67.0  | 871  | 0.5014          | 0.81     | 0.3507     | 1.3287 | 0.81     | 0.7895   | 0.2907 | 0.0538 |
| 0.3577        | 68.0  | 884  | 0.5016          | 0.81     | 0.3509     | 1.3304 | 0.81     | 0.7910   | 0.3043 | 0.0540 |
| 0.3577        | 69.0  | 897  | 0.5017          | 0.81     | 0.3509     | 1.3316 | 0.81     | 0.7923   | 0.3041 | 0.0539 |
| 0.3577        | 70.0  | 910  | 0.5017          | 0.81     | 0.3510     | 1.3307 | 0.81     | 0.7882   | 0.2986 | 0.0538 |
| 0.3577        | 71.0  | 923  | 0.5019          | 0.81     | 0.3511     | 1.3315 | 0.81     | 0.7923   | 0.3047 | 0.0540 |
| 0.3577        | 72.0  | 936  | 0.5016          | 0.81     | 0.3510     | 1.3305 | 0.81     | 0.7910   | 0.3044 | 0.0539 |
| 0.3577        | 73.0  | 949  | 0.5017          | 0.81     | 0.3508     | 1.3308 | 0.81     | 0.7895   | 0.2951 | 0.0540 |
| 0.3577        | 74.0  | 962  | 0.5015          | 0.815    | 0.3509     | 1.3309 | 0.815    | 0.7952   | 0.3046 | 0.0537 |
| 0.3577        | 75.0  | 975  | 0.5018          | 0.81     | 0.3510     | 1.3308 | 0.81     | 0.7923   | 0.3099 | 0.0542 |
| 0.3577        | 76.0  | 988  | 0.5019          | 0.81     | 0.3511     | 1.3311 | 0.81     | 0.7923   | 0.3045 | 0.0543 |
| 0.197         | 77.0  | 1001 | 0.5017          | 0.81     | 0.3510     | 1.3308 | 0.81     | 0.7882   | 0.3045 | 0.0538 |
| 0.197         | 78.0  | 1014 | 0.5017          | 0.81     | 0.3509     | 1.3308 | 0.81     | 0.7923   | 0.2974 | 0.0538 |
| 0.197         | 79.0  | 1027 | 0.5018          | 0.81     | 0.3510     | 1.3313 | 0.81     | 0.7882   | 0.3028 | 0.0540 |
| 0.197         | 80.0  | 1040 | 0.5018          | 0.81     | 0.3511     | 1.3310 | 0.81     | 0.7910   | 0.3030 | 0.0539 |
| 0.197         | 81.0  | 1053 | 0.5019          | 0.815    | 0.3511     | 1.3307 | 0.815    | 0.7952   | 0.2952 | 0.0540 |
| 0.197         | 82.0  | 1066 | 0.5015          | 0.81     | 0.3507     | 1.3314 | 0.81     | 0.7882   | 0.2948 | 0.0535 |
| 0.197         | 83.0  | 1079 | 0.5018          | 0.81     | 0.3510     | 1.3305 | 0.81     | 0.7895   | 0.2802 | 0.0538 |
| 0.197         | 84.0  | 1092 | 0.5018          | 0.81     | 0.3510     | 1.3310 | 0.81     | 0.7882   | 0.2951 | 0.0539 |
| 0.197         | 85.0  | 1105 | 0.5018          | 0.81     | 0.3510     | 1.3314 | 0.81     | 0.7882   | 0.2879 | 0.0539 |
| 0.197         | 86.0  | 1118 | 0.5018          | 0.81     | 0.3510     | 1.3318 | 0.81     | 0.7910   | 0.3028 | 0.0539 |
| 0.197         | 87.0  | 1131 | 0.5018          | 0.81     | 0.3510     | 1.3311 | 0.81     | 0.7895   | 0.2802 | 0.0538 |
| 0.197         | 88.0  | 1144 | 0.5018          | 0.81     | 0.3511     | 1.3315 | 0.81     | 0.7895   | 0.2880 | 0.0539 |
| 0.197         | 89.0  | 1157 | 0.5018          | 0.81     | 0.3510     | 1.3310 | 0.81     | 0.7895   | 0.2880 | 0.0539 |
| 0.197         | 90.0  | 1170 | 0.5019          | 0.81     | 0.3511     | 1.3314 | 0.81     | 0.7923   | 0.2881 | 0.0538 |
| 0.197         | 91.0  | 1183 | 0.5018          | 0.81     | 0.3510     | 1.3316 | 0.81     | 0.7895   | 0.2880 | 0.0537 |
| 0.197         | 92.0  | 1196 | 0.5018          | 0.81     | 0.3510     | 1.3311 | 0.81     | 0.7882   | 0.2880 | 0.0538 |
| 0.197         | 93.0  | 1209 | 0.5019          | 0.81     | 0.3511     | 1.3315 | 0.81     | 0.7895   | 0.2935 | 0.0539 |
| 0.197         | 94.0  | 1222 | 0.5018          | 0.81     | 0.3510     | 1.3313 | 0.81     | 0.7895   | 0.2803 | 0.0537 |
| 0.197         | 95.0  | 1235 | 0.5017          | 0.81     | 0.3510     | 1.3312 | 0.81     | 0.7882   | 0.2880 | 0.0537 |
| 0.197         | 96.0  | 1248 | 0.5018          | 0.81     | 0.3510     | 1.3315 | 0.81     | 0.7895   | 0.2935 | 0.0538 |
| 0.197         | 97.0  | 1261 | 0.5018          | 0.81     | 0.3510     | 1.3313 | 0.81     | 0.7895   | 0.2880 | 0.0537 |
| 0.197         | 98.0  | 1274 | 0.5018          | 0.81     | 0.3510     | 1.3314 | 0.81     | 0.7895   | 0.2935 | 0.0538 |
| 0.197         | 99.0  | 1287 | 0.5018          | 0.81     | 0.3510     | 1.3313 | 0.81     | 0.7895   | 0.2880 | 0.0537 |
| 0.197         | 100.0 | 1300 | 0.5018          | 0.81     | 0.3510     | 1.3312 | 0.81     | 0.7895   | 0.2880 | 0.0537 |


### Framework versions

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

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