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# dit-base_tobacco-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: 0.6206
- Accuracy: 0.825
- Brier Loss: 0.2570
- Nll: 0.9939
- F1 Micro: 0.825
- F1 Macro: 0.8166
- Ece: 0.1370
- Aurc: 0.0444

## 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    | 4.0511          | 0.22     | 0.9320     | 7.5162 | 0.22     | 0.0792   | 0.3104 | 0.7615 |
| No log        | 2.0   | 14   | 3.4353          | 0.35     | 0.8214     | 5.1797 | 0.35     | 0.2316   | 0.2589 | 0.6234 |
| No log        | 3.0   | 21   | 2.6406          | 0.47     | 0.6828     | 2.9202 | 0.47     | 0.3725   | 0.2781 | 0.3277 |
| No log        | 4.0   | 28   | 2.0027          | 0.57     | 0.5596     | 1.8624 | 0.57     | 0.4971   | 0.2526 | 0.2124 |
| No log        | 5.0   | 35   | 1.5018          | 0.65     | 0.4518     | 1.7094 | 0.65     | 0.6128   | 0.2242 | 0.1396 |
| No log        | 6.0   | 42   | 1.3904          | 0.71     | 0.4105     | 1.8765 | 0.7100   | 0.7058   | 0.2202 | 0.1126 |
| No log        | 7.0   | 49   | 1.1226          | 0.76     | 0.3558     | 1.8024 | 0.76     | 0.7029   | 0.1815 | 0.0841 |
| No log        | 8.0   | 56   | 1.1810          | 0.73     | 0.3716     | 1.5642 | 0.7300   | 0.7027   | 0.1956 | 0.0834 |
| No log        | 9.0   | 63   | 1.2131          | 0.73     | 0.3811     | 1.7544 | 0.7300   | 0.6774   | 0.2070 | 0.0872 |
| No log        | 10.0  | 70   | 1.3986          | 0.72     | 0.4043     | 2.0161 | 0.72     | 0.7259   | 0.2021 | 0.1098 |
| No log        | 11.0  | 77   | 1.1001          | 0.765    | 0.3202     | 1.9113 | 0.765    | 0.7578   | 0.1859 | 0.0678 |
| No log        | 12.0  | 84   | 1.0429          | 0.77     | 0.3487     | 1.2955 | 0.7700   | 0.7663   | 0.1910 | 0.0827 |
| No log        | 13.0  | 91   | 0.9864          | 0.77     | 0.3227     | 1.3721 | 0.7700   | 0.7734   | 0.1692 | 0.0710 |
| No log        | 14.0  | 98   | 1.0068          | 0.74     | 0.3581     | 1.3362 | 0.74     | 0.7271   | 0.1848 | 0.0804 |
| No log        | 15.0  | 105  | 0.8635          | 0.795    | 0.3009     | 1.4785 | 0.795    | 0.7810   | 0.1646 | 0.0538 |
| No log        | 16.0  | 112  | 0.8157          | 0.81     | 0.2845     | 1.2525 | 0.81     | 0.7931   | 0.1545 | 0.0519 |
| No log        | 17.0  | 119  | 0.8616          | 0.78     | 0.3186     | 1.4230 | 0.78     | 0.7705   | 0.1610 | 0.0647 |
| No log        | 18.0  | 126  | 0.8034          | 0.8      | 0.2784     | 1.4410 | 0.8000   | 0.7811   | 0.1576 | 0.0489 |
| No log        | 19.0  | 133  | 0.7601          | 0.805    | 0.2697     | 1.2885 | 0.805    | 0.7823   | 0.1499 | 0.0494 |
| No log        | 20.0  | 140  | 0.7598          | 0.82     | 0.2709     | 1.3643 | 0.82     | 0.8090   | 0.1542 | 0.0516 |
| No log        | 21.0  | 147  | 0.8221          | 0.79     | 0.2905     | 1.4031 | 0.79     | 0.7640   | 0.1612 | 0.0585 |
| No log        | 22.0  | 154  | 0.7271          | 0.825    | 0.2599     | 1.0950 | 0.825    | 0.8147   | 0.1381 | 0.0454 |
| No log        | 23.0  | 161  | 0.7556          | 0.795    | 0.2891     | 1.1111 | 0.795    | 0.7822   | 0.1413 | 0.0558 |
| No log        | 24.0  | 168  | 0.7197          | 0.81     | 0.2759     | 1.1361 | 0.81     | 0.7905   | 0.1617 | 0.0500 |
| No log        | 25.0  | 175  | 0.7192          | 0.83     | 0.2620     | 1.3395 | 0.83     | 0.8155   | 0.1459 | 0.0433 |
| No log        | 26.0  | 182  | 0.7347          | 0.805    | 0.2821     | 1.1396 | 0.805    | 0.7868   | 0.1512 | 0.0541 |
| No log        | 27.0  | 189  | 0.7402          | 0.815    | 0.2805     | 1.3562 | 0.815    | 0.7928   | 0.1489 | 0.0519 |
| No log        | 28.0  | 196  | 0.6986          | 0.815    | 0.2562     | 1.1454 | 0.815    | 0.7944   | 0.1467 | 0.0443 |
| No log        | 29.0  | 203  | 0.7148          | 0.81     | 0.2718     | 1.1404 | 0.81     | 0.7944   | 0.1440 | 0.0513 |
| No log        | 30.0  | 210  | 0.7041          | 0.81     | 0.2796     | 1.3773 | 0.81     | 0.7998   | 0.1484 | 0.0494 |
| No log        | 31.0  | 217  | 0.7428          | 0.815    | 0.2823     | 1.1146 | 0.815    | 0.7967   | 0.1626 | 0.0542 |
| No log        | 32.0  | 224  | 0.6941          | 0.82     | 0.2682     | 1.1921 | 0.82     | 0.8098   | 0.1427 | 0.0478 |
| No log        | 33.0  | 231  | 0.7170          | 0.81     | 0.2794     | 1.2244 | 0.81     | 0.7875   | 0.1407 | 0.0511 |
| No log        | 34.0  | 238  | 0.7024          | 0.815    | 0.2805     | 1.0423 | 0.815    | 0.8043   | 0.1560 | 0.0512 |
| No log        | 35.0  | 245  | 0.7299          | 0.81     | 0.2710     | 1.1835 | 0.81     | 0.7964   | 0.1475 | 0.0530 |
| No log        | 36.0  | 252  | 0.6488          | 0.83     | 0.2500     | 1.1662 | 0.83     | 0.8117   | 0.1315 | 0.0431 |
| No log        | 37.0  | 259  | 0.6877          | 0.815    | 0.2751     | 1.0878 | 0.815    | 0.7973   | 0.1381 | 0.0489 |
| No log        | 38.0  | 266  | 0.7019          | 0.84     | 0.2620     | 1.2709 | 0.8400   | 0.8282   | 0.1607 | 0.0498 |
| No log        | 39.0  | 273  | 0.6687          | 0.81     | 0.2680     | 1.3004 | 0.81     | 0.7959   | 0.1346 | 0.0465 |
| No log        | 40.0  | 280  | 0.6813          | 0.81     | 0.2809     | 1.0539 | 0.81     | 0.7929   | 0.1628 | 0.0500 |
| No log        | 41.0  | 287  | 0.6525          | 0.83     | 0.2493     | 1.1496 | 0.83     | 0.8176   | 0.1413 | 0.0437 |
| No log        | 42.0  | 294  | 0.6526          | 0.835    | 0.2547     | 1.2429 | 0.835    | 0.8253   | 0.1420 | 0.0450 |
| No log        | 43.0  | 301  | 0.6696          | 0.82     | 0.2717     | 1.0446 | 0.82     | 0.8118   | 0.1486 | 0.0501 |
| No log        | 44.0  | 308  | 0.6555          | 0.83     | 0.2626     | 0.9948 | 0.83     | 0.8214   | 0.1366 | 0.0461 |
| No log        | 45.0  | 315  | 0.6380          | 0.82     | 0.2600     | 1.2151 | 0.82     | 0.8026   | 0.1263 | 0.0428 |
| No log        | 46.0  | 322  | 0.6356          | 0.82     | 0.2571     | 1.0923 | 0.82     | 0.8114   | 0.1443 | 0.0449 |
| No log        | 47.0  | 329  | 0.6444          | 0.815    | 0.2638     | 1.0657 | 0.815    | 0.7980   | 0.1503 | 0.0476 |
| No log        | 48.0  | 336  | 0.6337          | 0.82     | 0.2676     | 1.0650 | 0.82     | 0.8077   | 0.1370 | 0.0442 |
| No log        | 49.0  | 343  | 0.6271          | 0.84     | 0.2541     | 1.1500 | 0.8400   | 0.8230   | 0.1365 | 0.0422 |
| No log        | 50.0  | 350  | 0.6284          | 0.81     | 0.2588     | 1.2703 | 0.81     | 0.7964   | 0.1411 | 0.0425 |
| No log        | 51.0  | 357  | 0.6507          | 0.82     | 0.2612     | 1.1306 | 0.82     | 0.7996   | 0.1558 | 0.0460 |
| No log        | 52.0  | 364  | 0.6329          | 0.825    | 0.2602     | 1.2060 | 0.825    | 0.8146   | 0.1296 | 0.0439 |
| No log        | 53.0  | 371  | 0.6342          | 0.825    | 0.2574     | 1.0132 | 0.825    | 0.8158   | 0.1467 | 0.0434 |
| No log        | 54.0  | 378  | 0.6486          | 0.82     | 0.2633     | 1.1662 | 0.82     | 0.8060   | 0.1445 | 0.0466 |
| No log        | 55.0  | 385  | 0.6245          | 0.825    | 0.2588     | 1.1358 | 0.825    | 0.8088   | 0.1428 | 0.0429 |
| No log        | 56.0  | 392  | 0.6303          | 0.815    | 0.2616     | 0.9843 | 0.815    | 0.8013   | 0.1447 | 0.0458 |
| No log        | 57.0  | 399  | 0.6196          | 0.82     | 0.2545     | 1.1936 | 0.82     | 0.8076   | 0.1516 | 0.0438 |
| No log        | 58.0  | 406  | 0.6241          | 0.82     | 0.2620     | 1.0557 | 0.82     | 0.8100   | 0.1423 | 0.0450 |
| No log        | 59.0  | 413  | 0.6278          | 0.82     | 0.2579     | 1.0777 | 0.82     | 0.8076   | 0.1382 | 0.0451 |
| No log        | 60.0  | 420  | 0.6385          | 0.81     | 0.2651     | 0.9962 | 0.81     | 0.7910   | 0.1565 | 0.0467 |
| No log        | 61.0  | 427  | 0.6328          | 0.82     | 0.2619     | 0.9968 | 0.82     | 0.8103   | 0.1299 | 0.0469 |
| No log        | 62.0  | 434  | 0.6195          | 0.82     | 0.2571     | 0.9997 | 0.82     | 0.8062   | 0.1471 | 0.0438 |
| No log        | 63.0  | 441  | 0.6150          | 0.825    | 0.2560     | 1.0061 | 0.825    | 0.8166   | 0.1498 | 0.0430 |
| No log        | 64.0  | 448  | 0.6201          | 0.825    | 0.2574     | 1.0592 | 0.825    | 0.8166   | 0.1369 | 0.0442 |
| No log        | 65.0  | 455  | 0.6281          | 0.815    | 0.2601     | 0.9990 | 0.815    | 0.8013   | 0.1449 | 0.0459 |
| No log        | 66.0  | 462  | 0.6232          | 0.825    | 0.2538     | 1.0657 | 0.825    | 0.8166   | 0.1341 | 0.0442 |
| No log        | 67.0  | 469  | 0.6242          | 0.82     | 0.2567     | 1.0622 | 0.82     | 0.8100   | 0.1432 | 0.0445 |
| No log        | 68.0  | 476  | 0.6213          | 0.82     | 0.2598     | 1.0666 | 0.82     | 0.8100   | 0.1517 | 0.0447 |
| No log        | 69.0  | 483  | 0.6268          | 0.82     | 0.2577     | 1.0106 | 0.82     | 0.8100   | 0.1365 | 0.0455 |
| No log        | 70.0  | 490  | 0.6252          | 0.82     | 0.2579     | 0.9979 | 0.82     | 0.8100   | 0.1395 | 0.0451 |
| No log        | 71.0  | 497  | 0.6251          | 0.82     | 0.2589     | 1.0606 | 0.82     | 0.8100   | 0.1485 | 0.0448 |
| 0.3286        | 72.0  | 504  | 0.6212          | 0.825    | 0.2571     | 1.0034 | 0.825    | 0.8166   | 0.1448 | 0.0443 |
| 0.3286        | 73.0  | 511  | 0.6212          | 0.82     | 0.2584     | 0.9940 | 0.82     | 0.8100   | 0.1499 | 0.0444 |
| 0.3286        | 74.0  | 518  | 0.6214          | 0.82     | 0.2576     | 0.9914 | 0.82     | 0.8100   | 0.1411 | 0.0448 |
| 0.3286        | 75.0  | 525  | 0.6233          | 0.82     | 0.2580     | 0.9966 | 0.82     | 0.8100   | 0.1592 | 0.0450 |
| 0.3286        | 76.0  | 532  | 0.6214          | 0.82     | 0.2568     | 0.9952 | 0.82     | 0.8100   | 0.1404 | 0.0448 |
| 0.3286        | 77.0  | 539  | 0.6217          | 0.825    | 0.2575     | 0.9951 | 0.825    | 0.8166   | 0.1361 | 0.0445 |
| 0.3286        | 78.0  | 546  | 0.6220          | 0.82     | 0.2569     | 0.9964 | 0.82     | 0.8100   | 0.1385 | 0.0450 |
| 0.3286        | 79.0  | 553  | 0.6225          | 0.82     | 0.2581     | 0.9950 | 0.82     | 0.8100   | 0.1485 | 0.0450 |
| 0.3286        | 80.0  | 560  | 0.6213          | 0.82     | 0.2578     | 0.9912 | 0.82     | 0.8100   | 0.1381 | 0.0446 |
| 0.3286        | 81.0  | 567  | 0.6209          | 0.82     | 0.2572     | 0.9948 | 0.82     | 0.8100   | 0.1415 | 0.0447 |
| 0.3286        | 82.0  | 574  | 0.6213          | 0.82     | 0.2578     | 0.9958 | 0.82     | 0.8100   | 0.1422 | 0.0449 |
| 0.3286        | 83.0  | 581  | 0.6220          | 0.82     | 0.2579     | 0.9947 | 0.82     | 0.8100   | 0.1553 | 0.0448 |
| 0.3286        | 84.0  | 588  | 0.6212          | 0.82     | 0.2574     | 0.9915 | 0.82     | 0.8100   | 0.1418 | 0.0447 |
| 0.3286        | 85.0  | 595  | 0.6220          | 0.82     | 0.2579     | 0.9937 | 0.82     | 0.8100   | 0.1628 | 0.0450 |
| 0.3286        | 86.0  | 602  | 0.6207          | 0.82     | 0.2572     | 0.9945 | 0.82     | 0.8100   | 0.1412 | 0.0447 |
| 0.3286        | 87.0  | 609  | 0.6212          | 0.82     | 0.2573     | 0.9940 | 0.82     | 0.8100   | 0.1414 | 0.0447 |
| 0.3286        | 88.0  | 616  | 0.6201          | 0.825    | 0.2570     | 0.9943 | 0.825    | 0.8166   | 0.1366 | 0.0443 |
| 0.3286        | 89.0  | 623  | 0.6210          | 0.82     | 0.2573     | 0.9944 | 0.82     | 0.8100   | 0.1414 | 0.0448 |
| 0.3286        | 90.0  | 630  | 0.6207          | 0.82     | 0.2572     | 0.9942 | 0.82     | 0.8100   | 0.1414 | 0.0447 |
| 0.3286        | 91.0  | 637  | 0.6210          | 0.82     | 0.2572     | 0.9952 | 0.82     | 0.8100   | 0.1415 | 0.0447 |
| 0.3286        | 92.0  | 644  | 0.6205          | 0.82     | 0.2572     | 0.9939 | 0.82     | 0.8100   | 0.1414 | 0.0447 |
| 0.3286        | 93.0  | 651  | 0.6207          | 0.825    | 0.2570     | 0.9938 | 0.825    | 0.8166   | 0.1373 | 0.0445 |
| 0.3286        | 94.0  | 658  | 0.6206          | 0.82     | 0.2572     | 0.9945 | 0.82     | 0.8100   | 0.1414 | 0.0447 |
| 0.3286        | 95.0  | 665  | 0.6203          | 0.825    | 0.2568     | 0.9951 | 0.825    | 0.8166   | 0.1370 | 0.0444 |
| 0.3286        | 96.0  | 672  | 0.6205          | 0.82     | 0.2571     | 0.9942 | 0.82     | 0.8100   | 0.1413 | 0.0448 |
| 0.3286        | 97.0  | 679  | 0.6206          | 0.825    | 0.2570     | 0.9943 | 0.825    | 0.8166   | 0.1370 | 0.0445 |
| 0.3286        | 98.0  | 686  | 0.6206          | 0.825    | 0.2570     | 0.9942 | 0.825    | 0.8166   | 0.1370 | 0.0445 |
| 0.3286        | 99.0  | 693  | 0.6206          | 0.825    | 0.2570     | 0.9940 | 0.825    | 0.8166   | 0.1370 | 0.0445 |
| 0.3286        | 100.0 | 700  | 0.6206          | 0.825    | 0.2570     | 0.9939 | 0.825    | 0.8166   | 0.1370 | 0.0444 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.2.0.dev20231112+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1

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