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# 225-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: 0.4875
- Accuracy: 0.805
- Brier Loss: 0.3011
- Nll: 1.4097
- F1 Micro: 0.805
- F1 Macro: 0.7862
- Ece: 0.2181
- Aurc: 0.0530

## 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   | 1.7287          | 0.235    | 0.8932     | 7.9209 | 0.235    | 0.1394   | 0.3142 | 0.7431 |
| No log        | 2.0   | 26   | 1.2278          | 0.455    | 0.6937     | 3.7028 | 0.455    | 0.3630   | 0.2894 | 0.3370 |
| No log        | 3.0   | 39   | 1.0392          | 0.545    | 0.5804     | 2.0622 | 0.545    | 0.4755   | 0.2549 | 0.2370 |
| No log        | 4.0   | 52   | 0.8315          | 0.635    | 0.4677     | 1.8368 | 0.635    | 0.5858   | 0.2429 | 0.1436 |
| No log        | 5.0   | 65   | 0.7488          | 0.72     | 0.4187     | 1.4849 | 0.72     | 0.6856   | 0.2558 | 0.1081 |
| No log        | 6.0   | 78   | 0.7076          | 0.735    | 0.3886     | 1.4403 | 0.735    | 0.6840   | 0.2107 | 0.1002 |
| No log        | 7.0   | 91   | 0.6946          | 0.725    | 0.3876     | 1.5056 | 0.7250   | 0.7017   | 0.2229 | 0.0982 |
| No log        | 8.0   | 104  | 0.7344          | 0.72     | 0.3928     | 1.8498 | 0.72     | 0.6796   | 0.1817 | 0.1016 |
| No log        | 9.0   | 117  | 0.7380          | 0.735    | 0.4000     | 1.8338 | 0.735    | 0.7369   | 0.2382 | 0.1032 |
| No log        | 10.0  | 130  | 0.6790          | 0.76     | 0.3677     | 1.8100 | 0.76     | 0.7343   | 0.2346 | 0.1003 |
| No log        | 11.0  | 143  | 0.7008          | 0.735    | 0.3997     | 1.8469 | 0.735    | 0.7211   | 0.2510 | 0.1226 |
| No log        | 12.0  | 156  | 0.6378          | 0.74     | 0.3762     | 1.7911 | 0.74     | 0.7187   | 0.2214 | 0.0869 |
| No log        | 13.0  | 169  | 0.6066          | 0.745    | 0.3544     | 1.6249 | 0.745    | 0.7012   | 0.2009 | 0.0823 |
| No log        | 14.0  | 182  | 0.5888          | 0.77     | 0.3365     | 1.7603 | 0.7700   | 0.7568   | 0.2047 | 0.0613 |
| No log        | 15.0  | 195  | 0.5817          | 0.765    | 0.3430     | 1.6581 | 0.765    | 0.7411   | 0.2345 | 0.0661 |
| No log        | 16.0  | 208  | 0.5510          | 0.795    | 0.3265     | 1.3740 | 0.795    | 0.7815   | 0.2347 | 0.0590 |
| No log        | 17.0  | 221  | 0.5449          | 0.77     | 0.3362     | 1.3348 | 0.7700   | 0.7541   | 0.1971 | 0.0709 |
| No log        | 18.0  | 234  | 0.5686          | 0.775    | 0.3363     | 1.8806 | 0.775    | 0.7604   | 0.2006 | 0.0654 |
| No log        | 19.0  | 247  | 0.5499          | 0.82     | 0.3237     | 1.3751 | 0.82     | 0.7981   | 0.2471 | 0.0586 |
| No log        | 20.0  | 260  | 0.5321          | 0.77     | 0.3213     | 1.5905 | 0.7700   | 0.7474   | 0.2332 | 0.0643 |
| No log        | 21.0  | 273  | 0.5349          | 0.805    | 0.3050     | 2.0032 | 0.805    | 0.7788   | 0.2238 | 0.0533 |
| No log        | 22.0  | 286  | 0.5318          | 0.8      | 0.3105     | 1.5868 | 0.8000   | 0.7620   | 0.2377 | 0.0538 |
| No log        | 23.0  | 299  | 0.5021          | 0.83     | 0.2982     | 1.4067 | 0.83     | 0.8190   | 0.2631 | 0.0463 |
| No log        | 24.0  | 312  | 0.5008          | 0.805    | 0.3023     | 1.4409 | 0.805    | 0.7863   | 0.2248 | 0.0501 |
| No log        | 25.0  | 325  | 0.5069          | 0.805    | 0.3036     | 1.4965 | 0.805    | 0.7770   | 0.2218 | 0.0519 |
| No log        | 26.0  | 338  | 0.4967          | 0.8      | 0.3002     | 1.6267 | 0.8000   | 0.7788   | 0.2188 | 0.0598 |
| No log        | 27.0  | 351  | 0.4892          | 0.81     | 0.3006     | 1.6391 | 0.81     | 0.7886   | 0.2170 | 0.0513 |
| No log        | 28.0  | 364  | 0.5099          | 0.82     | 0.3129     | 1.5802 | 0.82     | 0.8004   | 0.2285 | 0.0589 |
| No log        | 29.0  | 377  | 0.5009          | 0.8      | 0.3054     | 1.5187 | 0.8000   | 0.7747   | 0.2260 | 0.0570 |
| No log        | 30.0  | 390  | 0.4869          | 0.805    | 0.2989     | 1.4292 | 0.805    | 0.7823   | 0.2380 | 0.0511 |
| No log        | 31.0  | 403  | 0.4876          | 0.82     | 0.2970     | 1.4254 | 0.82     | 0.7984   | 0.2293 | 0.0524 |
| No log        | 32.0  | 416  | 0.4916          | 0.81     | 0.3024     | 1.5657 | 0.81     | 0.7872   | 0.2239 | 0.0557 |
| No log        | 33.0  | 429  | 0.4834          | 0.805    | 0.2969     | 1.5227 | 0.805    | 0.7939   | 0.2108 | 0.0537 |
| No log        | 34.0  | 442  | 0.4910          | 0.8      | 0.3074     | 1.4463 | 0.8000   | 0.7745   | 0.2236 | 0.0580 |
| No log        | 35.0  | 455  | 0.4854          | 0.805    | 0.2990     | 1.4106 | 0.805    | 0.7875   | 0.2280 | 0.0547 |
| No log        | 36.0  | 468  | 0.4861          | 0.815    | 0.2985     | 1.4682 | 0.815    | 0.7921   | 0.2310 | 0.0527 |
| No log        | 37.0  | 481  | 0.4880          | 0.8      | 0.3032     | 1.4765 | 0.8000   | 0.7743   | 0.2174 | 0.0565 |
| No log        | 38.0  | 494  | 0.4871          | 0.805    | 0.2993     | 1.4592 | 0.805    | 0.7854   | 0.2072 | 0.0551 |
| 0.3005        | 39.0  | 507  | 0.4908          | 0.805    | 0.3037     | 1.4704 | 0.805    | 0.7854   | 0.2269 | 0.0575 |
| 0.3005        | 40.0  | 520  | 0.4893          | 0.805    | 0.3018     | 1.3980 | 0.805    | 0.7862   | 0.2105 | 0.0555 |
| 0.3005        | 41.0  | 533  | 0.4866          | 0.8      | 0.3016     | 1.4087 | 0.8000   | 0.7766   | 0.2219 | 0.0547 |
| 0.3005        | 42.0  | 546  | 0.4851          | 0.805    | 0.2997     | 1.3968 | 0.805    | 0.7862   | 0.2110 | 0.0536 |
| 0.3005        | 43.0  | 559  | 0.4859          | 0.805    | 0.3011     | 1.4078 | 0.805    | 0.7875   | 0.2126 | 0.0545 |
| 0.3005        | 44.0  | 572  | 0.4869          | 0.805    | 0.3011     | 1.4629 | 0.805    | 0.7862   | 0.2122 | 0.0546 |
| 0.3005        | 45.0  | 585  | 0.4868          | 0.805    | 0.3010     | 1.4646 | 0.805    | 0.7854   | 0.2151 | 0.0549 |
| 0.3005        | 46.0  | 598  | 0.4870          | 0.805    | 0.3012     | 1.4644 | 0.805    | 0.7854   | 0.2110 | 0.0544 |
| 0.3005        | 47.0  | 611  | 0.4858          | 0.805    | 0.2999     | 1.4066 | 0.805    | 0.7875   | 0.2180 | 0.0534 |
| 0.3005        | 48.0  | 624  | 0.4866          | 0.805    | 0.3014     | 1.4032 | 0.805    | 0.7875   | 0.2265 | 0.0538 |
| 0.3005        | 49.0  | 637  | 0.4854          | 0.805    | 0.2996     | 1.4117 | 0.805    | 0.7862   | 0.2156 | 0.0534 |
| 0.3005        | 50.0  | 650  | 0.4860          | 0.805    | 0.3003     | 1.4683 | 0.805    | 0.7854   | 0.2100 | 0.0533 |
| 0.3005        | 51.0  | 663  | 0.4860          | 0.805    | 0.3002     | 1.4041 | 0.805    | 0.7854   | 0.2352 | 0.0534 |
| 0.3005        | 52.0  | 676  | 0.4872          | 0.805    | 0.3015     | 1.4067 | 0.805    | 0.7875   | 0.2033 | 0.0540 |
| 0.3005        | 53.0  | 689  | 0.4866          | 0.805    | 0.3005     | 1.4105 | 0.805    | 0.7875   | 0.2310 | 0.0538 |
| 0.3005        | 54.0  | 702  | 0.4861          | 0.805    | 0.3006     | 1.4036 | 0.805    | 0.7875   | 0.2340 | 0.0533 |
| 0.3005        | 55.0  | 715  | 0.4864          | 0.805    | 0.3005     | 1.4063 | 0.805    | 0.7875   | 0.2199 | 0.0537 |
| 0.3005        | 56.0  | 728  | 0.4871          | 0.805    | 0.3009     | 1.4091 | 0.805    | 0.7862   | 0.2282 | 0.0537 |
| 0.3005        | 57.0  | 741  | 0.4869          | 0.805    | 0.3007     | 1.4079 | 0.805    | 0.7862   | 0.2214 | 0.0531 |
| 0.3005        | 58.0  | 754  | 0.4864          | 0.805    | 0.3005     | 1.4086 | 0.805    | 0.7862   | 0.2206 | 0.0532 |
| 0.3005        | 59.0  | 767  | 0.4868          | 0.805    | 0.3007     | 1.4133 | 0.805    | 0.7862   | 0.2372 | 0.0531 |
| 0.3005        | 60.0  | 780  | 0.4871          | 0.805    | 0.3009     | 1.4079 | 0.805    | 0.7875   | 0.2172 | 0.0534 |
| 0.3005        | 61.0  | 793  | 0.4875          | 0.805    | 0.3014     | 1.4106 | 0.805    | 0.7862   | 0.2295 | 0.0536 |
| 0.3005        | 62.0  | 806  | 0.4875          | 0.805    | 0.3013     | 1.4136 | 0.805    | 0.7875   | 0.2219 | 0.0535 |
| 0.3005        | 63.0  | 819  | 0.4874          | 0.805    | 0.3013     | 1.4085 | 0.805    | 0.7862   | 0.2189 | 0.0534 |
| 0.3005        | 64.0  | 832  | 0.4867          | 0.805    | 0.3007     | 1.4075 | 0.805    | 0.7862   | 0.2325 | 0.0530 |
| 0.3005        | 65.0  | 845  | 0.4876          | 0.805    | 0.3013     | 1.4122 | 0.805    | 0.7862   | 0.2379 | 0.0537 |
| 0.3005        | 66.0  | 858  | 0.4878          | 0.805    | 0.3015     | 1.4090 | 0.805    | 0.7862   | 0.2220 | 0.0536 |
| 0.3005        | 67.0  | 871  | 0.4869          | 0.805    | 0.3007     | 1.4101 | 0.805    | 0.7862   | 0.2253 | 0.0529 |
| 0.3005        | 68.0  | 884  | 0.4871          | 0.805    | 0.3009     | 1.4096 | 0.805    | 0.7862   | 0.2340 | 0.0530 |
| 0.3005        | 69.0  | 897  | 0.4873          | 0.805    | 0.3010     | 1.4120 | 0.805    | 0.7862   | 0.2138 | 0.0534 |
| 0.3005        | 70.0  | 910  | 0.4874          | 0.805    | 0.3011     | 1.4121 | 0.805    | 0.7862   | 0.2292 | 0.0533 |
| 0.3005        | 71.0  | 923  | 0.4874          | 0.805    | 0.3012     | 1.4095 | 0.805    | 0.7862   | 0.2276 | 0.0532 |
| 0.3005        | 72.0  | 936  | 0.4870          | 0.805    | 0.3009     | 1.4083 | 0.805    | 0.7862   | 0.2262 | 0.0532 |
| 0.3005        | 73.0  | 949  | 0.4877          | 0.805    | 0.3013     | 1.4115 | 0.805    | 0.7862   | 0.2273 | 0.0533 |
| 0.3005        | 74.0  | 962  | 0.4872          | 0.805    | 0.3010     | 1.4109 | 0.805    | 0.7862   | 0.2275 | 0.0533 |
| 0.3005        | 75.0  | 975  | 0.4874          | 0.805    | 0.3010     | 1.4100 | 0.805    | 0.7862   | 0.2186 | 0.0533 |
| 0.3005        | 76.0  | 988  | 0.4874          | 0.805    | 0.3011     | 1.4095 | 0.805    | 0.7862   | 0.2174 | 0.0532 |
| 0.0815        | 77.0  | 1001 | 0.4876          | 0.805    | 0.3012     | 1.4096 | 0.805    | 0.7862   | 0.2185 | 0.0533 |
| 0.0815        | 78.0  | 1014 | 0.4875          | 0.805    | 0.3011     | 1.4114 | 0.805    | 0.7862   | 0.2189 | 0.0532 |
| 0.0815        | 79.0  | 1027 | 0.4874          | 0.805    | 0.3011     | 1.4092 | 0.805    | 0.7862   | 0.2347 | 0.0533 |
| 0.0815        | 80.0  | 1040 | 0.4877          | 0.805    | 0.3012     | 1.4110 | 0.805    | 0.7862   | 0.2272 | 0.0532 |
| 0.0815        | 81.0  | 1053 | 0.4876          | 0.805    | 0.3012     | 1.4092 | 0.805    | 0.7862   | 0.2259 | 0.0532 |
| 0.0815        | 82.0  | 1066 | 0.4873          | 0.805    | 0.3009     | 1.4103 | 0.805    | 0.7862   | 0.2171 | 0.0531 |
| 0.0815        | 83.0  | 1079 | 0.4875          | 0.805    | 0.3011     | 1.4091 | 0.805    | 0.7862   | 0.2260 | 0.0532 |
| 0.0815        | 84.0  | 1092 | 0.4875          | 0.805    | 0.3010     | 1.4108 | 0.805    | 0.7862   | 0.2346 | 0.0532 |
| 0.0815        | 85.0  | 1105 | 0.4876          | 0.805    | 0.3012     | 1.4098 | 0.805    | 0.7862   | 0.2276 | 0.0531 |
| 0.0815        | 86.0  | 1118 | 0.4876          | 0.805    | 0.3011     | 1.4127 | 0.805    | 0.7862   | 0.2272 | 0.0532 |
| 0.0815        | 87.0  | 1131 | 0.4875          | 0.805    | 0.3011     | 1.4093 | 0.805    | 0.7862   | 0.2275 | 0.0531 |
| 0.0815        | 88.0  | 1144 | 0.4876          | 0.805    | 0.3011     | 1.4092 | 0.805    | 0.7862   | 0.2184 | 0.0531 |
| 0.0815        | 89.0  | 1157 | 0.4874          | 0.805    | 0.3011     | 1.4086 | 0.805    | 0.7862   | 0.2271 | 0.0531 |
| 0.0815        | 90.0  | 1170 | 0.4875          | 0.805    | 0.3011     | 1.4098 | 0.805    | 0.7862   | 0.2272 | 0.0531 |
| 0.0815        | 91.0  | 1183 | 0.4875          | 0.805    | 0.3011     | 1.4104 | 0.805    | 0.7862   | 0.2275 | 0.0531 |
| 0.0815        | 92.0  | 1196 | 0.4874          | 0.805    | 0.3010     | 1.4092 | 0.805    | 0.7862   | 0.2183 | 0.0531 |
| 0.0815        | 93.0  | 1209 | 0.4876          | 0.805    | 0.3011     | 1.4097 | 0.805    | 0.7862   | 0.2276 | 0.0531 |
| 0.0815        | 94.0  | 1222 | 0.4874          | 0.805    | 0.3009     | 1.4095 | 0.805    | 0.7862   | 0.2180 | 0.0529 |
| 0.0815        | 95.0  | 1235 | 0.4874          | 0.805    | 0.3011     | 1.4092 | 0.805    | 0.7862   | 0.2182 | 0.0531 |
| 0.0815        | 96.0  | 1248 | 0.4875          | 0.805    | 0.3011     | 1.4100 | 0.805    | 0.7862   | 0.2183 | 0.0531 |
| 0.0815        | 97.0  | 1261 | 0.4875          | 0.805    | 0.3011     | 1.4097 | 0.805    | 0.7862   | 0.2181 | 0.0530 |
| 0.0815        | 98.0  | 1274 | 0.4876          | 0.805    | 0.3011     | 1.4098 | 0.805    | 0.7862   | 0.2181 | 0.0530 |
| 0.0815        | 99.0  | 1287 | 0.4875          | 0.805    | 0.3011     | 1.4097 | 0.805    | 0.7862   | 0.2273 | 0.0531 |
| 0.0815        | 100.0 | 1300 | 0.4875          | 0.805    | 0.3011     | 1.4097 | 0.805    | 0.7862   | 0.2181 | 0.0530 |


### Framework versions

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

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