
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 171-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: 0.4688
- Accuracy: 0.815
- Brier Loss: 0.3067
- Nll: 1.4679
- F1 Micro: 0.815
- F1 Macro: 0.7970
- Ece: 0.2440
- Aurc: 0.0500

## 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   | 1.6008          | 0.23     | 0.8921     | 8.0367 | 0.23     | 0.1380   | 0.3153 | 0.7486 |
| No log        | 2.0   | 26   | 1.1383          | 0.445    | 0.6997     | 3.6320 | 0.445    | 0.3583   | 0.2866 | 0.3390 |
| No log        | 3.0   | 39   | 0.9781          | 0.555    | 0.5896     | 2.1989 | 0.555    | 0.4763   | 0.2856 | 0.2440 |
| No log        | 4.0   | 52   | 0.7953          | 0.65     | 0.4796     | 1.7904 | 0.65     | 0.5880   | 0.2308 | 0.1417 |
| No log        | 5.0   | 65   | 0.7282          | 0.705    | 0.4370     | 1.4923 | 0.705    | 0.6654   | 0.2538 | 0.1123 |
| No log        | 6.0   | 78   | 0.6794          | 0.73     | 0.3987     | 1.5706 | 0.7300   | 0.6928   | 0.2386 | 0.1041 |
| No log        | 7.0   | 91   | 0.6813          | 0.73     | 0.4024     | 1.6519 | 0.7300   | 0.6984   | 0.2553 | 0.1027 |
| No log        | 8.0   | 104  | 0.6669          | 0.72     | 0.3910     | 1.6057 | 0.72     | 0.6811   | 0.2234 | 0.0990 |
| No log        | 9.0   | 117  | 0.7152          | 0.72     | 0.4167     | 1.9716 | 0.72     | 0.7201   | 0.2259 | 0.1091 |
| No log        | 10.0  | 130  | 0.6722          | 0.745    | 0.3751     | 1.9561 | 0.745    | 0.7290   | 0.2362 | 0.0849 |
| No log        | 11.0  | 143  | 0.6263          | 0.75     | 0.3817     | 1.8594 | 0.75     | 0.7238   | 0.2511 | 0.0980 |
| No log        | 12.0  | 156  | 0.6259          | 0.725    | 0.3946     | 1.8363 | 0.7250   | 0.6835   | 0.2186 | 0.0974 |
| No log        | 13.0  | 169  | 0.5756          | 0.77     | 0.3487     | 1.3847 | 0.7700   | 0.7171   | 0.2271 | 0.0723 |
| No log        | 14.0  | 182  | 0.5670          | 0.76     | 0.3492     | 1.7986 | 0.76     | 0.7323   | 0.2201 | 0.0713 |
| No log        | 15.0  | 195  | 0.5538          | 0.785    | 0.3532     | 1.6319 | 0.785    | 0.7608   | 0.2479 | 0.0629 |
| No log        | 16.0  | 208  | 0.5634          | 0.75     | 0.3582     | 1.5131 | 0.75     | 0.7397   | 0.2333 | 0.0747 |
| No log        | 17.0  | 221  | 0.5348          | 0.77     | 0.3378     | 1.5843 | 0.7700   | 0.7421   | 0.2193 | 0.0646 |
| No log        | 18.0  | 234  | 0.5306          | 0.78     | 0.3310     | 1.6298 | 0.78     | 0.7618   | 0.2290 | 0.0644 |
| No log        | 19.0  | 247  | 0.5185          | 0.805    | 0.3400     | 1.4945 | 0.805    | 0.7755   | 0.2627 | 0.0622 |
| No log        | 20.0  | 260  | 0.5335          | 0.76     | 0.3402     | 1.5758 | 0.76     | 0.7108   | 0.2372 | 0.0699 |
| No log        | 21.0  | 273  | 0.5191          | 0.76     | 0.3389     | 1.3860 | 0.76     | 0.7413   | 0.2587 | 0.0661 |
| No log        | 22.0  | 286  | 0.5198          | 0.785    | 0.3423     | 1.4790 | 0.785    | 0.7607   | 0.2513 | 0.0649 |
| No log        | 23.0  | 299  | 0.5155          | 0.79     | 0.3344     | 1.5003 | 0.79     | 0.7648   | 0.2393 | 0.0671 |
| No log        | 24.0  | 312  | 0.5156          | 0.775    | 0.3380     | 1.5898 | 0.775    | 0.7388   | 0.2295 | 0.0667 |
| No log        | 25.0  | 325  | 0.4808          | 0.815    | 0.3033     | 1.4602 | 0.815    | 0.7837   | 0.2520 | 0.0520 |
| No log        | 26.0  | 338  | 0.4975          | 0.785    | 0.3325     | 1.3864 | 0.785    | 0.7563   | 0.2298 | 0.0673 |
| No log        | 27.0  | 351  | 0.4988          | 0.785    | 0.3257     | 1.5206 | 0.785    | 0.7717   | 0.2156 | 0.0638 |
| No log        | 28.0  | 364  | 0.4928          | 0.795    | 0.3209     | 1.3717 | 0.795    | 0.7719   | 0.2303 | 0.0612 |
| No log        | 29.0  | 377  | 0.4660          | 0.81     | 0.3022     | 1.2190 | 0.81     | 0.7864   | 0.2285 | 0.0485 |
| No log        | 30.0  | 390  | 0.4777          | 0.815    | 0.3123     | 1.4266 | 0.815    | 0.7926   | 0.2535 | 0.0562 |
| No log        | 31.0  | 403  | 0.4695          | 0.82     | 0.3067     | 1.3425 | 0.82     | 0.8000   | 0.2338 | 0.0528 |
| No log        | 32.0  | 416  | 0.4701          | 0.815    | 0.3026     | 1.3247 | 0.815    | 0.7893   | 0.2259 | 0.0522 |
| No log        | 33.0  | 429  | 0.4625          | 0.82     | 0.3023     | 1.2646 | 0.82     | 0.7915   | 0.2441 | 0.0486 |
| No log        | 34.0  | 442  | 0.4684          | 0.81     | 0.3080     | 1.3468 | 0.81     | 0.7846   | 0.2373 | 0.0521 |
| No log        | 35.0  | 455  | 0.4629          | 0.81     | 0.3000     | 1.3441 | 0.81     | 0.7869   | 0.2375 | 0.0492 |
| No log        | 36.0  | 468  | 0.4680          | 0.81     | 0.3074     | 1.2158 | 0.81     | 0.7894   | 0.2417 | 0.0508 |
| No log        | 37.0  | 481  | 0.4672          | 0.81     | 0.3053     | 1.3329 | 0.81     | 0.7866   | 0.2320 | 0.0508 |
| No log        | 38.0  | 494  | 0.4716          | 0.805    | 0.3091     | 1.2975 | 0.805    | 0.7863   | 0.2361 | 0.0545 |
| 0.3111        | 39.0  | 507  | 0.4703          | 0.805    | 0.3081     | 1.2855 | 0.805    | 0.7863   | 0.2473 | 0.0534 |
| 0.3111        | 40.0  | 520  | 0.4692          | 0.81     | 0.3073     | 1.2833 | 0.81     | 0.7894   | 0.2361 | 0.0525 |
| 0.3111        | 41.0  | 533  | 0.4681          | 0.81     | 0.3068     | 1.2804 | 0.81     | 0.7890   | 0.2386 | 0.0517 |
| 0.3111        | 42.0  | 546  | 0.4672          | 0.81     | 0.3058     | 1.4597 | 0.81     | 0.7898   | 0.2276 | 0.0521 |
| 0.3111        | 43.0  | 559  | 0.4691          | 0.81     | 0.3080     | 1.4136 | 0.81     | 0.7894   | 0.2280 | 0.0520 |
| 0.3111        | 44.0  | 572  | 0.4664          | 0.815    | 0.3048     | 1.4593 | 0.815    | 0.7921   | 0.2459 | 0.0509 |
| 0.3111        | 45.0  | 585  | 0.4684          | 0.81     | 0.3069     | 1.4071 | 0.81     | 0.7894   | 0.2415 | 0.0514 |
| 0.3111        | 46.0  | 598  | 0.4688          | 0.81     | 0.3066     | 1.4084 | 0.81     | 0.7890   | 0.2174 | 0.0516 |
| 0.3111        | 47.0  | 611  | 0.4683          | 0.81     | 0.3061     | 1.4052 | 0.81     | 0.7890   | 0.2406 | 0.0515 |
| 0.3111        | 48.0  | 624  | 0.4677          | 0.81     | 0.3065     | 1.4045 | 0.81     | 0.7890   | 0.2346 | 0.0508 |
| 0.3111        | 49.0  | 637  | 0.4679          | 0.81     | 0.3058     | 1.4072 | 0.81     | 0.7890   | 0.2177 | 0.0507 |
| 0.3111        | 50.0  | 650  | 0.4679          | 0.81     | 0.3061     | 1.4681 | 0.81     | 0.7890   | 0.2619 | 0.0510 |
| 0.3111        | 51.0  | 663  | 0.4688          | 0.81     | 0.3068     | 1.4662 | 0.81     | 0.7890   | 0.2325 | 0.0513 |
| 0.3111        | 52.0  | 676  | 0.4679          | 0.81     | 0.3063     | 1.4062 | 0.81     | 0.7890   | 0.2257 | 0.0508 |
| 0.3111        | 53.0  | 689  | 0.4682          | 0.81     | 0.3064     | 1.4667 | 0.81     | 0.7890   | 0.2279 | 0.0512 |
| 0.3111        | 54.0  | 702  | 0.4674          | 0.81     | 0.3058     | 1.4075 | 0.81     | 0.7890   | 0.2269 | 0.0507 |
| 0.3111        | 55.0  | 715  | 0.4689          | 0.81     | 0.3069     | 1.4674 | 0.81     | 0.7890   | 0.2428 | 0.0511 |
| 0.3111        | 56.0  | 728  | 0.4678          | 0.81     | 0.3062     | 1.4081 | 0.81     | 0.7890   | 0.2402 | 0.0507 |
| 0.3111        | 57.0  | 741  | 0.4691          | 0.81     | 0.3069     | 1.4691 | 0.81     | 0.7890   | 0.2279 | 0.0511 |
| 0.3111        | 58.0  | 754  | 0.4686          | 0.81     | 0.3067     | 1.4114 | 0.81     | 0.7890   | 0.2647 | 0.0510 |
| 0.3111        | 59.0  | 767  | 0.4688          | 0.81     | 0.3069     | 1.4130 | 0.81     | 0.7890   | 0.2416 | 0.0510 |
| 0.3111        | 60.0  | 780  | 0.4685          | 0.81     | 0.3065     | 1.4206 | 0.81     | 0.7890   | 0.2278 | 0.0509 |
| 0.3111        | 61.0  | 793  | 0.4688          | 0.81     | 0.3069     | 1.4145 | 0.81     | 0.7890   | 0.2307 | 0.0513 |
| 0.3111        | 62.0  | 806  | 0.4690          | 0.81     | 0.3070     | 1.4681 | 0.81     | 0.7890   | 0.2437 | 0.0510 |
| 0.3111        | 63.0  | 819  | 0.4688          | 0.81     | 0.3068     | 1.4680 | 0.81     | 0.7890   | 0.2465 | 0.0510 |
| 0.3111        | 64.0  | 832  | 0.4681          | 0.81     | 0.3062     | 1.4670 | 0.81     | 0.7890   | 0.2565 | 0.0507 |
| 0.3111        | 65.0  | 845  | 0.4690          | 0.81     | 0.3069     | 1.4675 | 0.81     | 0.7890   | 0.2444 | 0.0510 |
| 0.3111        | 66.0  | 858  | 0.4688          | 0.81     | 0.3069     | 1.4673 | 0.81     | 0.7890   | 0.2433 | 0.0510 |
| 0.3111        | 67.0  | 871  | 0.4686          | 0.81     | 0.3066     | 1.4676 | 0.81     | 0.7890   | 0.2560 | 0.0507 |
| 0.3111        | 68.0  | 884  | 0.4684          | 0.81     | 0.3064     | 1.4667 | 0.81     | 0.7890   | 0.2496 | 0.0506 |
| 0.3111        | 69.0  | 897  | 0.4686          | 0.81     | 0.3066     | 1.4675 | 0.81     | 0.7890   | 0.2407 | 0.0507 |
| 0.3111        | 70.0  | 910  | 0.4689          | 0.81     | 0.3068     | 1.4679 | 0.81     | 0.7890   | 0.2502 | 0.0508 |
| 0.3111        | 71.0  | 923  | 0.4690          | 0.81     | 0.3071     | 1.4687 | 0.81     | 0.7890   | 0.2445 | 0.0507 |
| 0.3111        | 72.0  | 936  | 0.4688          | 0.81     | 0.3068     | 1.4678 | 0.81     | 0.7890   | 0.2500 | 0.0506 |
| 0.3111        | 73.0  | 949  | 0.4689          | 0.81     | 0.3068     | 1.4685 | 0.81     | 0.7890   | 0.2662 | 0.0510 |
| 0.3111        | 74.0  | 962  | 0.4687          | 0.81     | 0.3067     | 1.4679 | 0.81     | 0.7890   | 0.2496 | 0.0507 |
| 0.3111        | 75.0  | 975  | 0.4688          | 0.81     | 0.3067     | 1.4683 | 0.81     | 0.7890   | 0.2468 | 0.0508 |
| 0.3111        | 76.0  | 988  | 0.4688          | 0.81     | 0.3067     | 1.4676 | 0.81     | 0.7890   | 0.2511 | 0.0508 |
| 0.1126        | 77.0  | 1001 | 0.4689          | 0.81     | 0.3068     | 1.4672 | 0.81     | 0.7890   | 0.2365 | 0.0506 |
| 0.1126        | 78.0  | 1014 | 0.4688          | 0.81     | 0.3066     | 1.4681 | 0.81     | 0.7890   | 0.2507 | 0.0507 |
| 0.1126        | 79.0  | 1027 | 0.4688          | 0.81     | 0.3068     | 1.4680 | 0.81     | 0.7890   | 0.2498 | 0.0508 |
| 0.1126        | 80.0  | 1040 | 0.4689          | 0.81     | 0.3068     | 1.4676 | 0.81     | 0.7890   | 0.2497 | 0.0507 |
| 0.1126        | 81.0  | 1053 | 0.4690          | 0.81     | 0.3068     | 1.4682 | 0.81     | 0.7890   | 0.2338 | 0.0506 |
| 0.1126        | 82.0  | 1066 | 0.4686          | 0.81     | 0.3065     | 1.4682 | 0.81     | 0.7890   | 0.2541 | 0.0505 |
| 0.1126        | 83.0  | 1079 | 0.4689          | 0.815    | 0.3067     | 1.4675 | 0.815    | 0.7970   | 0.2503 | 0.0501 |
| 0.1126        | 84.0  | 1092 | 0.4687          | 0.815    | 0.3065     | 1.4676 | 0.815    | 0.7970   | 0.2567 | 0.0501 |
| 0.1126        | 85.0  | 1105 | 0.4689          | 0.81     | 0.3067     | 1.4680 | 0.81     | 0.7890   | 0.2678 | 0.0507 |
| 0.1126        | 86.0  | 1118 | 0.4689          | 0.815    | 0.3067     | 1.4684 | 0.815    | 0.7970   | 0.2566 | 0.0502 |
| 0.1126        | 87.0  | 1131 | 0.4687          | 0.815    | 0.3066     | 1.4672 | 0.815    | 0.7970   | 0.2529 | 0.0501 |
| 0.1126        | 88.0  | 1144 | 0.4689          | 0.815    | 0.3067     | 1.4680 | 0.815    | 0.7970   | 0.2569 | 0.0502 |
| 0.1126        | 89.0  | 1157 | 0.4688          | 0.815    | 0.3067     | 1.4678 | 0.815    | 0.7970   | 0.2527 | 0.0500 |
| 0.1126        | 90.0  | 1170 | 0.4689          | 0.815    | 0.3067     | 1.4681 | 0.815    | 0.7970   | 0.2527 | 0.0501 |
| 0.1126        | 91.0  | 1183 | 0.4688          | 0.815    | 0.3067     | 1.4683 | 0.815    | 0.7970   | 0.2527 | 0.0500 |
| 0.1126        | 92.0  | 1196 | 0.4688          | 0.815    | 0.3066     | 1.4675 | 0.815    | 0.7970   | 0.2528 | 0.0500 |
| 0.1126        | 93.0  | 1209 | 0.4689          | 0.815    | 0.3068     | 1.4680 | 0.815    | 0.7970   | 0.2527 | 0.0500 |
| 0.1126        | 94.0  | 1222 | 0.4688          | 0.815    | 0.3066     | 1.4678 | 0.815    | 0.7970   | 0.2440 | 0.0499 |
| 0.1126        | 95.0  | 1235 | 0.4688          | 0.815    | 0.3066     | 1.4677 | 0.815    | 0.7970   | 0.2440 | 0.0499 |
| 0.1126        | 96.0  | 1248 | 0.4688          | 0.815    | 0.3067     | 1.4681 | 0.815    | 0.7970   | 0.2528 | 0.0500 |
| 0.1126        | 97.0  | 1261 | 0.4688          | 0.815    | 0.3066     | 1.4679 | 0.815    | 0.7970   | 0.2440 | 0.0500 |
| 0.1126        | 98.0  | 1274 | 0.4689          | 0.815    | 0.3067     | 1.4680 | 0.815    | 0.7970   | 0.2440 | 0.0500 |
| 0.1126        | 99.0  | 1287 | 0.4689          | 0.815    | 0.3067     | 1.4679 | 0.815    | 0.7970   | 0.2440 | 0.0500 |
| 0.1126        | 100.0 | 1300 | 0.4688          | 0.815    | 0.3067     | 1.4679 | 0.815    | 0.7970   | 0.2440 | 0.0500 |


### Framework versions

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

adve email form letter memo news note report resume scientific