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# vit-small_tobacco3482_kd_CEKD_t2.5_a0.7

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: 0.5012
- Accuracy: 0.845
- Brier Loss: 0.2630
- Nll: 0.9559
- F1 Micro: 0.845
- F1 Macro: 0.8409
- Ece: 0.2081
- Aurc: 0.0487

## 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: 128
- eval_batch_size: 128
- 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   | 7    | 1.8874          | 0.22     | 0.8753     | 5.3264 | 0.22     | 0.1297   | 0.2491 | 0.6946 |
| No log        | 2.0   | 14   | 1.5114          | 0.405    | 0.7436     | 3.4265 | 0.405    | 0.2289   | 0.2861 | 0.4056 |
| No log        | 3.0   | 21   | 1.0555          | 0.61     | 0.5700     | 1.9393 | 0.61     | 0.5508   | 0.3108 | 0.2025 |
| No log        | 4.0   | 28   | 0.8188          | 0.695    | 0.4182     | 1.7503 | 0.695    | 0.6308   | 0.2374 | 0.1153 |
| No log        | 5.0   | 35   | 0.8072          | 0.74     | 0.3863     | 1.7844 | 0.74     | 0.7491   | 0.2368 | 0.1059 |
| No log        | 6.0   | 42   | 0.7259          | 0.745    | 0.3520     | 1.6780 | 0.745    | 0.7403   | 0.2147 | 0.0935 |
| No log        | 7.0   | 49   | 0.6764          | 0.805    | 0.3188     | 1.5699 | 0.805    | 0.7739   | 0.2217 | 0.0875 |
| No log        | 8.0   | 56   | 0.6437          | 0.805    | 0.3103     | 1.2385 | 0.805    | 0.7880   | 0.2198 | 0.0667 |
| No log        | 9.0   | 63   | 0.6173          | 0.79     | 0.3033     | 1.3362 | 0.79     | 0.7910   | 0.2158 | 0.0688 |
| No log        | 10.0  | 70   | 0.5831          | 0.83     | 0.2846     | 1.1457 | 0.83     | 0.8211   | 0.2293 | 0.0530 |
| No log        | 11.0  | 77   | 0.6568          | 0.775    | 0.3281     | 1.4185 | 0.775    | 0.7253   | 0.2128 | 0.0708 |
| No log        | 12.0  | 84   | 0.5838          | 0.815    | 0.2859     | 1.4799 | 0.815    | 0.8079   | 0.2191 | 0.0518 |
| No log        | 13.0  | 91   | 0.6773          | 0.75     | 0.3546     | 1.1980 | 0.75     | 0.7125   | 0.1970 | 0.0977 |
| No log        | 14.0  | 98   | 0.5809          | 0.82     | 0.2976     | 1.1146 | 0.82     | 0.8166   | 0.2240 | 0.0850 |
| No log        | 15.0  | 105  | 0.5589          | 0.8      | 0.2913     | 1.0169 | 0.8000   | 0.7942   | 0.2018 | 0.0655 |
| No log        | 16.0  | 112  | 0.5495          | 0.835    | 0.2857     | 1.1661 | 0.835    | 0.8217   | 0.1943 | 0.0800 |
| No log        | 17.0  | 119  | 0.5280          | 0.83     | 0.2697     | 1.0304 | 0.83     | 0.8314   | 0.2216 | 0.0511 |
| No log        | 18.0  | 126  | 0.5174          | 0.85     | 0.2583     | 1.1388 | 0.85     | 0.8392   | 0.1992 | 0.0540 |
| No log        | 19.0  | 133  | 0.5271          | 0.81     | 0.2838     | 0.9360 | 0.81     | 0.8129   | 0.1742 | 0.0622 |
| No log        | 20.0  | 140  | 0.5098          | 0.845    | 0.2604     | 1.1335 | 0.845    | 0.8353   | 0.2040 | 0.0599 |
| No log        | 21.0  | 147  | 0.5219          | 0.82     | 0.2725     | 0.9910 | 0.82     | 0.8145   | 0.1831 | 0.0497 |
| No log        | 22.0  | 154  | 0.5195          | 0.835    | 0.2706     | 1.0873 | 0.835    | 0.8390   | 0.1908 | 0.0515 |
| No log        | 23.0  | 161  | 0.5122          | 0.835    | 0.2666     | 1.0898 | 0.835    | 0.8399   | 0.1998 | 0.0487 |
| No log        | 24.0  | 168  | 0.5158          | 0.825    | 0.2723     | 1.0534 | 0.825    | 0.8210   | 0.1811 | 0.0507 |
| No log        | 25.0  | 175  | 0.5059          | 0.825    | 0.2654     | 0.9966 | 0.825    | 0.8212   | 0.1910 | 0.0487 |
| No log        | 26.0  | 182  | 0.5033          | 0.825    | 0.2648     | 0.9836 | 0.825    | 0.8212   | 0.1768 | 0.0516 |
| No log        | 27.0  | 189  | 0.5114          | 0.835    | 0.2703     | 0.9847 | 0.835    | 0.8353   | 0.2040 | 0.0512 |
| No log        | 28.0  | 196  | 0.5047          | 0.84     | 0.2654     | 0.9774 | 0.8400   | 0.8359   | 0.1868 | 0.0494 |
| No log        | 29.0  | 203  | 0.5027          | 0.84     | 0.2656     | 0.9674 | 0.8400   | 0.8359   | 0.1820 | 0.0502 |
| No log        | 30.0  | 210  | 0.5035          | 0.835    | 0.2660     | 0.9606 | 0.835    | 0.8296   | 0.1781 | 0.0494 |
| No log        | 31.0  | 217  | 0.5010          | 0.835    | 0.2642     | 0.9628 | 0.835    | 0.8296   | 0.1893 | 0.0487 |
| No log        | 32.0  | 224  | 0.5032          | 0.835    | 0.2652     | 0.9705 | 0.835    | 0.8296   | 0.1913 | 0.0494 |
| No log        | 33.0  | 231  | 0.5052          | 0.825    | 0.2664     | 0.9657 | 0.825    | 0.8231   | 0.1882 | 0.0503 |
| No log        | 34.0  | 238  | 0.5047          | 0.825    | 0.2667     | 0.9605 | 0.825    | 0.8168   | 0.1938 | 0.0508 |
| No log        | 35.0  | 245  | 0.5019          | 0.835    | 0.2642     | 0.9596 | 0.835    | 0.8296   | 0.1846 | 0.0491 |
| No log        | 36.0  | 252  | 0.5035          | 0.835    | 0.2648     | 0.9646 | 0.835    | 0.8296   | 0.2064 | 0.0492 |
| No log        | 37.0  | 259  | 0.5020          | 0.835    | 0.2645     | 0.9589 | 0.835    | 0.8296   | 0.2036 | 0.0491 |
| No log        | 38.0  | 266  | 0.5023          | 0.83     | 0.2642     | 0.9595 | 0.83     | 0.8262   | 0.1798 | 0.0495 |
| No log        | 39.0  | 273  | 0.5023          | 0.835    | 0.2643     | 0.9615 | 0.835    | 0.8296   | 0.1921 | 0.0491 |
| No log        | 40.0  | 280  | 0.5024          | 0.835    | 0.2645     | 0.9589 | 0.835    | 0.8292   | 0.1813 | 0.0499 |
| No log        | 41.0  | 287  | 0.5018          | 0.835    | 0.2638     | 0.9583 | 0.835    | 0.8296   | 0.1743 | 0.0492 |
| No log        | 42.0  | 294  | 0.5018          | 0.83     | 0.2640     | 0.9592 | 0.83     | 0.8266   | 0.1839 | 0.0498 |
| No log        | 43.0  | 301  | 0.5033          | 0.84     | 0.2650     | 0.9588 | 0.8400   | 0.8322   | 0.1914 | 0.0497 |
| No log        | 44.0  | 308  | 0.5009          | 0.83     | 0.2632     | 0.9603 | 0.83     | 0.8266   | 0.1652 | 0.0495 |
| No log        | 45.0  | 315  | 0.5049          | 0.835    | 0.2659     | 0.9587 | 0.835    | 0.8344   | 0.2130 | 0.0502 |
| No log        | 46.0  | 322  | 0.5018          | 0.835    | 0.2637     | 0.9592 | 0.835    | 0.8344   | 0.1685 | 0.0496 |
| No log        | 47.0  | 329  | 0.5009          | 0.835    | 0.2632     | 0.9578 | 0.835    | 0.8296   | 0.1971 | 0.0491 |
| No log        | 48.0  | 336  | 0.5022          | 0.835    | 0.2641     | 0.9574 | 0.835    | 0.8288   | 0.2050 | 0.0495 |
| No log        | 49.0  | 343  | 0.5017          | 0.835    | 0.2635     | 0.9586 | 0.835    | 0.8349   | 0.2025 | 0.0493 |
| No log        | 50.0  | 350  | 0.5022          | 0.84     | 0.2640     | 0.9572 | 0.8400   | 0.8322   | 0.1926 | 0.0493 |
| No log        | 51.0  | 357  | 0.5022          | 0.835    | 0.2638     | 0.9591 | 0.835    | 0.8288   | 0.1948 | 0.0494 |
| No log        | 52.0  | 364  | 0.5025          | 0.835    | 0.2640     | 0.9573 | 0.835    | 0.8344   | 0.2119 | 0.0497 |
| No log        | 53.0  | 371  | 0.5022          | 0.835    | 0.2638     | 0.9575 | 0.835    | 0.8292   | 0.2176 | 0.0497 |
| No log        | 54.0  | 378  | 0.5020          | 0.83     | 0.2637     | 0.9575 | 0.83     | 0.8257   | 0.1935 | 0.0498 |
| No log        | 55.0  | 385  | 0.5024          | 0.835    | 0.2640     | 0.9572 | 0.835    | 0.8288   | 0.2040 | 0.0491 |
| No log        | 56.0  | 392  | 0.5023          | 0.835    | 0.2639     | 0.9581 | 0.835    | 0.8288   | 0.2123 | 0.0492 |
| No log        | 57.0  | 399  | 0.5018          | 0.84     | 0.2635     | 0.9575 | 0.8400   | 0.8322   | 0.2086 | 0.0487 |
| No log        | 58.0  | 406  | 0.5023          | 0.835    | 0.2639     | 0.9568 | 0.835    | 0.8292   | 0.2094 | 0.0496 |
| No log        | 59.0  | 413  | 0.5016          | 0.83     | 0.2633     | 0.9563 | 0.83     | 0.8257   | 0.1930 | 0.0493 |
| No log        | 60.0  | 420  | 0.5015          | 0.84     | 0.2633     | 0.9565 | 0.8400   | 0.8322   | 0.2004 | 0.0488 |
| No log        | 61.0  | 427  | 0.5017          | 0.84     | 0.2635     | 0.9559 | 0.8400   | 0.8322   | 0.2004 | 0.0491 |
| No log        | 62.0  | 434  | 0.5018          | 0.83     | 0.2635     | 0.9563 | 0.83     | 0.8257   | 0.1994 | 0.0497 |
| No log        | 63.0  | 441  | 0.5020          | 0.835    | 0.2636     | 0.9572 | 0.835    | 0.8288   | 0.2040 | 0.0490 |
| No log        | 64.0  | 448  | 0.5020          | 0.835    | 0.2636     | 0.9565 | 0.835    | 0.8288   | 0.2036 | 0.0490 |
| No log        | 65.0  | 455  | 0.5017          | 0.835    | 0.2634     | 0.9566 | 0.835    | 0.8288   | 0.1959 | 0.0490 |
| No log        | 66.0  | 462  | 0.5018          | 0.84     | 0.2635     | 0.9561 | 0.8400   | 0.8322   | 0.2012 | 0.0491 |
| No log        | 67.0  | 469  | 0.5016          | 0.84     | 0.2633     | 0.9566 | 0.8400   | 0.8322   | 0.1946 | 0.0489 |
| No log        | 68.0  | 476  | 0.5016          | 0.84     | 0.2633     | 0.9565 | 0.8400   | 0.8322   | 0.1946 | 0.0488 |
| No log        | 69.0  | 483  | 0.5018          | 0.835    | 0.2634     | 0.9567 | 0.835    | 0.8288   | 0.1955 | 0.0490 |
| No log        | 70.0  | 490  | 0.5012          | 0.84     | 0.2631     | 0.9562 | 0.8400   | 0.8322   | 0.1945 | 0.0488 |
| No log        | 71.0  | 497  | 0.5018          | 0.835    | 0.2635     | 0.9568 | 0.835    | 0.8288   | 0.1958 | 0.0491 |
| 0.1944        | 72.0  | 504  | 0.5016          | 0.84     | 0.2633     | 0.9562 | 0.8400   | 0.8322   | 0.2034 | 0.0490 |
| 0.1944        | 73.0  | 511  | 0.5013          | 0.84     | 0.2632     | 0.9558 | 0.8400   | 0.8322   | 0.1944 | 0.0488 |
| 0.1944        | 74.0  | 518  | 0.5013          | 0.84     | 0.2631     | 0.9562 | 0.8400   | 0.8322   | 0.1943 | 0.0487 |
| 0.1944        | 75.0  | 525  | 0.5016          | 0.835    | 0.2633     | 0.9560 | 0.835    | 0.8344   | 0.2035 | 0.0495 |
| 0.1944        | 76.0  | 532  | 0.5018          | 0.84     | 0.2634     | 0.9563 | 0.8400   | 0.8322   | 0.2093 | 0.0487 |
| 0.1944        | 77.0  | 539  | 0.5012          | 0.84     | 0.2630     | 0.9565 | 0.8400   | 0.8322   | 0.1941 | 0.0488 |
| 0.1944        | 78.0  | 546  | 0.5015          | 0.84     | 0.2632     | 0.9561 | 0.8400   | 0.8375   | 0.2008 | 0.0489 |
| 0.1944        | 79.0  | 553  | 0.5016          | 0.835    | 0.2633     | 0.9560 | 0.835    | 0.8288   | 0.1957 | 0.0490 |
| 0.1944        | 80.0  | 560  | 0.5015          | 0.84     | 0.2631     | 0.9568 | 0.8400   | 0.8375   | 0.2093 | 0.0488 |
| 0.1944        | 81.0  | 567  | 0.5015          | 0.835    | 0.2632     | 0.9561 | 0.835    | 0.8288   | 0.1957 | 0.0491 |
| 0.1944        | 82.0  | 574  | 0.5014          | 0.835    | 0.2631     | 0.9565 | 0.835    | 0.8288   | 0.1949 | 0.0489 |
| 0.1944        | 83.0  | 581  | 0.5015          | 0.835    | 0.2632     | 0.9563 | 0.835    | 0.8288   | 0.1957 | 0.0490 |
| 0.1944        | 84.0  | 588  | 0.5015          | 0.84     | 0.2632     | 0.9559 | 0.8400   | 0.8322   | 0.2031 | 0.0488 |
| 0.1944        | 85.0  | 595  | 0.5012          | 0.84     | 0.2630     | 0.9560 | 0.8400   | 0.8322   | 0.1944 | 0.0488 |
| 0.1944        | 86.0  | 602  | 0.5012          | 0.84     | 0.2630     | 0.9561 | 0.8400   | 0.8322   | 0.1944 | 0.0488 |
| 0.1944        | 87.0  | 609  | 0.5012          | 0.84     | 0.2630     | 0.9562 | 0.8400   | 0.8322   | 0.1943 | 0.0488 |
| 0.1944        | 88.0  | 616  | 0.5012          | 0.84     | 0.2630     | 0.9561 | 0.8400   | 0.8322   | 0.2030 | 0.0488 |
| 0.1944        | 89.0  | 623  | 0.5013          | 0.845    | 0.2631     | 0.9559 | 0.845    | 0.8409   | 0.1995 | 0.0488 |
| 0.1944        | 90.0  | 630  | 0.5013          | 0.845    | 0.2631     | 0.9559 | 0.845    | 0.8409   | 0.1995 | 0.0488 |
| 0.1944        | 91.0  | 637  | 0.5012          | 0.845    | 0.2630     | 0.9559 | 0.845    | 0.8409   | 0.1994 | 0.0487 |
| 0.1944        | 92.0  | 644  | 0.5013          | 0.845    | 0.2631     | 0.9561 | 0.845    | 0.8409   | 0.1995 | 0.0487 |
| 0.1944        | 93.0  | 651  | 0.5012          | 0.84     | 0.2630     | 0.9560 | 0.8400   | 0.8322   | 0.2031 | 0.0488 |
| 0.1944        | 94.0  | 658  | 0.5013          | 0.84     | 0.2630     | 0.9558 | 0.8400   | 0.8322   | 0.1944 | 0.0488 |
| 0.1944        | 95.0  | 665  | 0.5012          | 0.84     | 0.2630     | 0.9558 | 0.8400   | 0.8322   | 0.1944 | 0.0488 |
| 0.1944        | 96.0  | 672  | 0.5012          | 0.84     | 0.2630     | 0.9558 | 0.8400   | 0.8322   | 0.1944 | 0.0488 |
| 0.1944        | 97.0  | 679  | 0.5012          | 0.845    | 0.2630     | 0.9559 | 0.845    | 0.8409   | 0.1994 | 0.0487 |
| 0.1944        | 98.0  | 686  | 0.5012          | 0.84     | 0.2630     | 0.9559 | 0.8400   | 0.8322   | 0.1944 | 0.0488 |
| 0.1944        | 99.0  | 693  | 0.5012          | 0.845    | 0.2630     | 0.9560 | 0.845    | 0.8409   | 0.2081 | 0.0487 |
| 0.1944        | 100.0 | 700  | 0.5012          | 0.845    | 0.2630     | 0.9559 | 0.845    | 0.8409   | 0.2081 | 0.0487 |


### Framework versions

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

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