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# vit-tiny_rvl_cdip_100_examples_per_class_kd_CEKD_t1.5_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: 1.6786
- Accuracy: 0.5475
- Brier Loss: 0.5719
- Nll: 2.4381
- F1 Micro: 0.5475
- F1 Macro: 0.5432
- Ece: 0.1563
- Aurc: 0.2080

## 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    | 4.6969          | 0.0425   | 1.0710     | 7.3408 | 0.0425   | 0.0336   | 0.2818 | 0.9543 |
| No log        | 2.0   | 14   | 3.6834          | 0.1      | 0.9492     | 5.8001 | 0.1000   | 0.0878   | 0.1662 | 0.8811 |
| No log        | 3.0   | 21   | 3.2796          | 0.2325   | 0.8815     | 5.3289 | 0.2325   | 0.1817   | 0.1601 | 0.6217 |
| No log        | 4.0   | 28   | 2.7674          | 0.2975   | 0.7907     | 3.6563 | 0.2975   | 0.2855   | 0.1624 | 0.4730 |
| No log        | 5.0   | 35   | 2.4072          | 0.3925   | 0.7175     | 3.0843 | 0.3925   | 0.3726   | 0.1811 | 0.3501 |
| No log        | 6.0   | 42   | 2.2499          | 0.44     | 0.6923     | 3.0183 | 0.44     | 0.4252   | 0.2052 | 0.3017 |
| No log        | 7.0   | 49   | 2.2199          | 0.455    | 0.6973     | 3.0254 | 0.455    | 0.4233   | 0.2117 | 0.2958 |
| No log        | 8.0   | 56   | 2.1564          | 0.4725   | 0.6958     | 2.8105 | 0.4725   | 0.4637   | 0.2159 | 0.2954 |
| No log        | 9.0   | 63   | 2.2963          | 0.4575   | 0.7105     | 2.7884 | 0.4575   | 0.4386   | 0.2617 | 0.2866 |
| No log        | 10.0  | 70   | 2.3511          | 0.4475   | 0.7553     | 2.8174 | 0.4475   | 0.4278   | 0.2698 | 0.3171 |
| No log        | 11.0  | 77   | 2.4111          | 0.4425   | 0.7483     | 2.9313 | 0.4425   | 0.4290   | 0.2569 | 0.3056 |
| No log        | 12.0  | 84   | 2.2927          | 0.4825   | 0.7158     | 2.7197 | 0.4825   | 0.4799   | 0.2453 | 0.2920 |
| No log        | 13.0  | 91   | 2.2809          | 0.4825   | 0.7098     | 2.6808 | 0.4825   | 0.4758   | 0.2454 | 0.2811 |
| No log        | 14.0  | 98   | 2.1787          | 0.4825   | 0.7036     | 2.5537 | 0.4825   | 0.4801   | 0.2417 | 0.2877 |
| No log        | 15.0  | 105  | 2.1643          | 0.495    | 0.6934     | 2.7769 | 0.495    | 0.4892   | 0.2375 | 0.2707 |
| No log        | 16.0  | 112  | 2.1309          | 0.48     | 0.6866     | 2.5936 | 0.48     | 0.4647   | 0.2130 | 0.2663 |
| No log        | 17.0  | 119  | 2.1389          | 0.5125   | 0.6580     | 2.6313 | 0.5125   | 0.4962   | 0.1976 | 0.2424 |
| No log        | 18.0  | 126  | 2.0813          | 0.5025   | 0.6649     | 2.6517 | 0.5025   | 0.5019   | 0.2126 | 0.2602 |
| No log        | 19.0  | 133  | 2.0742          | 0.4975   | 0.6763     | 2.6690 | 0.4975   | 0.4739   | 0.2473 | 0.2575 |
| No log        | 20.0  | 140  | 2.0550          | 0.48     | 0.6702     | 2.5468 | 0.48     | 0.4838   | 0.2206 | 0.2745 |
| No log        | 21.0  | 147  | 1.9216          | 0.52     | 0.6332     | 2.6838 | 0.52     | 0.5237   | 0.1895 | 0.2410 |
| No log        | 22.0  | 154  | 1.9572          | 0.5025   | 0.6500     | 2.4719 | 0.5025   | 0.4877   | 0.2223 | 0.2470 |
| No log        | 23.0  | 161  | 1.8821          | 0.5175   | 0.6294     | 2.5337 | 0.5175   | 0.5067   | 0.2081 | 0.2332 |
| No log        | 24.0  | 168  | 1.9198          | 0.5125   | 0.6332     | 2.5310 | 0.5125   | 0.5028   | 0.2039 | 0.2434 |
| No log        | 25.0  | 175  | 1.9419          | 0.515    | 0.6358     | 2.6324 | 0.515    | 0.5005   | 0.2203 | 0.2383 |
| No log        | 26.0  | 182  | 1.8714          | 0.525    | 0.6145     | 2.5820 | 0.525    | 0.5005   | 0.1843 | 0.2232 |
| No log        | 27.0  | 189  | 1.9460          | 0.4975   | 0.6365     | 2.6119 | 0.4975   | 0.4907   | 0.2169 | 0.2395 |
| No log        | 28.0  | 196  | 1.9364          | 0.525    | 0.6333     | 2.5789 | 0.525    | 0.5013   | 0.1808 | 0.2437 |
| No log        | 29.0  | 203  | 1.9143          | 0.5425   | 0.6144     | 2.7809 | 0.5425   | 0.5181   | 0.1700 | 0.2224 |
| No log        | 30.0  | 210  | 1.8565          | 0.5275   | 0.6171     | 2.5610 | 0.5275   | 0.5142   | 0.1823 | 0.2304 |
| No log        | 31.0  | 217  | 1.8281          | 0.5325   | 0.6113     | 2.6216 | 0.5325   | 0.5191   | 0.1802 | 0.2167 |
| No log        | 32.0  | 224  | 1.8213          | 0.525    | 0.6192     | 2.5521 | 0.525    | 0.5278   | 0.1844 | 0.2368 |
| No log        | 33.0  | 231  | 1.7724          | 0.545    | 0.6030     | 2.4900 | 0.545    | 0.5460   | 0.1810 | 0.2211 |
| No log        | 34.0  | 238  | 1.7617          | 0.5475   | 0.5985     | 2.5994 | 0.5475   | 0.5345   | 0.1907 | 0.2161 |
| No log        | 35.0  | 245  | 1.8276          | 0.54     | 0.6090     | 2.5254 | 0.54     | 0.5172   | 0.1839 | 0.2249 |
| No log        | 36.0  | 252  | 1.7646          | 0.5475   | 0.5924     | 2.5729 | 0.5475   | 0.5458   | 0.1930 | 0.2190 |
| No log        | 37.0  | 259  | 1.7851          | 0.5675   | 0.5872     | 2.5036 | 0.5675   | 0.5600   | 0.1670 | 0.2056 |
| No log        | 38.0  | 266  | 1.7743          | 0.5225   | 0.6136     | 2.4765 | 0.5225   | 0.5163   | 0.1831 | 0.2276 |
| No log        | 39.0  | 273  | 1.7760          | 0.5325   | 0.5912     | 2.5692 | 0.5325   | 0.5228   | 0.1589 | 0.2108 |
| No log        | 40.0  | 280  | 1.7664          | 0.53     | 0.5917     | 2.5363 | 0.53     | 0.5089   | 0.1800 | 0.2095 |
| No log        | 41.0  | 287  | 1.8177          | 0.535    | 0.6070     | 2.5195 | 0.535    | 0.5272   | 0.1883 | 0.2268 |
| No log        | 42.0  | 294  | 1.7575          | 0.56     | 0.5868     | 2.5956 | 0.56     | 0.5504   | 0.1740 | 0.2091 |
| No log        | 43.0  | 301  | 1.7616          | 0.54     | 0.6001     | 2.3469 | 0.54     | 0.5401   | 0.1861 | 0.2272 |
| No log        | 44.0  | 308  | 1.7105          | 0.5425   | 0.5831     | 2.4709 | 0.5425   | 0.5380   | 0.1884 | 0.2086 |
| No log        | 45.0  | 315  | 1.7502          | 0.565    | 0.5880     | 2.4600 | 0.565    | 0.5546   | 0.1527 | 0.2084 |
| No log        | 46.0  | 322  | 1.7135          | 0.565    | 0.5834     | 2.4571 | 0.565    | 0.5631   | 0.1703 | 0.2103 |
| No log        | 47.0  | 329  | 1.7327          | 0.5525   | 0.5892     | 2.4573 | 0.5525   | 0.5491   | 0.1820 | 0.2178 |
| No log        | 48.0  | 336  | 1.7405          | 0.535    | 0.5947     | 2.5414 | 0.535    | 0.5338   | 0.1840 | 0.2180 |
| No log        | 49.0  | 343  | 1.7265          | 0.555    | 0.5758     | 2.4824 | 0.555    | 0.5423   | 0.1603 | 0.2025 |
| No log        | 50.0  | 350  | 1.7065          | 0.5525   | 0.5904     | 2.3807 | 0.5525   | 0.5576   | 0.1769 | 0.2212 |
| No log        | 51.0  | 357  | 1.7265          | 0.545    | 0.5833     | 2.4535 | 0.545    | 0.5413   | 0.1704 | 0.2108 |
| No log        | 52.0  | 364  | 1.7197          | 0.55     | 0.5740     | 2.5386 | 0.55     | 0.5347   | 0.1467 | 0.2032 |
| No log        | 53.0  | 371  | 1.7015          | 0.5575   | 0.5826     | 2.4159 | 0.5575   | 0.5578   | 0.1751 | 0.2138 |
| No log        | 54.0  | 378  | 1.7263          | 0.55     | 0.5873     | 2.4471 | 0.55     | 0.5456   | 0.1629 | 0.2144 |
| No log        | 55.0  | 385  | 1.6786          | 0.555    | 0.5780     | 2.3908 | 0.555    | 0.5490   | 0.1627 | 0.2106 |
| No log        | 56.0  | 392  | 1.7147          | 0.55     | 0.5811     | 2.3876 | 0.55     | 0.5476   | 0.1724 | 0.2122 |
| No log        | 57.0  | 399  | 1.6983          | 0.5525   | 0.5769     | 2.5028 | 0.5525   | 0.5415   | 0.1716 | 0.2054 |
| No log        | 58.0  | 406  | 1.7350          | 0.5425   | 0.5984     | 2.3835 | 0.5425   | 0.5406   | 0.1806 | 0.2282 |
| No log        | 59.0  | 413  | 1.7015          | 0.54     | 0.5779     | 2.4865 | 0.54     | 0.5288   | 0.1848 | 0.2079 |
| No log        | 60.0  | 420  | 1.6783          | 0.5525   | 0.5712     | 2.4231 | 0.5525   | 0.5497   | 0.1777 | 0.2046 |
| No log        | 61.0  | 427  | 1.7236          | 0.545    | 0.5856     | 2.5104 | 0.545    | 0.5379   | 0.1850 | 0.2142 |
| No log        | 62.0  | 434  | 1.6904          | 0.5425   | 0.5752     | 2.4626 | 0.5425   | 0.5400   | 0.1787 | 0.2084 |
| No log        | 63.0  | 441  | 1.7136          | 0.5375   | 0.5837     | 2.4091 | 0.5375   | 0.5304   | 0.1681 | 0.2150 |
| No log        | 64.0  | 448  | 1.6783          | 0.56     | 0.5762     | 2.4017 | 0.56     | 0.5594   | 0.1607 | 0.2093 |
| No log        | 65.0  | 455  | 1.7098          | 0.5425   | 0.5797     | 2.5062 | 0.5425   | 0.5406   | 0.1707 | 0.2120 |
| No log        | 66.0  | 462  | 1.6752          | 0.5525   | 0.5712     | 2.4684 | 0.5525   | 0.5478   | 0.1711 | 0.2063 |
| No log        | 67.0  | 469  | 1.7068          | 0.545    | 0.5761     | 2.5107 | 0.545    | 0.5415   | 0.1750 | 0.2090 |
| No log        | 68.0  | 476  | 1.6706          | 0.5525   | 0.5700     | 2.4322 | 0.5525   | 0.5466   | 0.1798 | 0.2068 |
| No log        | 69.0  | 483  | 1.6941          | 0.5525   | 0.5749     | 2.4689 | 0.5525   | 0.5501   | 0.1654 | 0.2072 |
| No log        | 70.0  | 490  | 1.6726          | 0.545    | 0.5711     | 2.4348 | 0.545    | 0.5416   | 0.1811 | 0.2083 |
| No log        | 71.0  | 497  | 1.6831          | 0.5525   | 0.5740     | 2.4659 | 0.5525   | 0.5498   | 0.1687 | 0.2061 |
| 0.4086        | 72.0  | 504  | 1.6749          | 0.5575   | 0.5699     | 2.4122 | 0.5575   | 0.5535   | 0.1706 | 0.2051 |
| 0.4086        | 73.0  | 511  | 1.6867          | 0.555    | 0.5740     | 2.4402 | 0.555    | 0.5495   | 0.1725 | 0.2069 |
| 0.4086        | 74.0  | 518  | 1.6768          | 0.5475   | 0.5716     | 2.4369 | 0.5475   | 0.5442   | 0.1621 | 0.2080 |
| 0.4086        | 75.0  | 525  | 1.6835          | 0.55     | 0.5736     | 2.4404 | 0.55     | 0.5448   | 0.1824 | 0.2075 |
| 0.4086        | 76.0  | 532  | 1.6737          | 0.5525   | 0.5701     | 2.4361 | 0.5525   | 0.5497   | 0.1731 | 0.2063 |
| 0.4086        | 77.0  | 539  | 1.6796          | 0.55     | 0.5721     | 2.4399 | 0.55     | 0.5450   | 0.1723 | 0.2066 |
| 0.4086        | 78.0  | 546  | 1.6774          | 0.55     | 0.5718     | 2.4362 | 0.55     | 0.5472   | 0.1732 | 0.2071 |
| 0.4086        | 79.0  | 553  | 1.6781          | 0.555    | 0.5711     | 2.4390 | 0.555    | 0.5506   | 0.1588 | 0.2059 |
| 0.4086        | 80.0  | 560  | 1.6787          | 0.555    | 0.5714     | 2.4380 | 0.555    | 0.5508   | 0.1832 | 0.2070 |
| 0.4086        | 81.0  | 567  | 1.6778          | 0.555    | 0.5717     | 2.4366 | 0.555    | 0.5516   | 0.1615 | 0.2060 |
| 0.4086        | 82.0  | 574  | 1.6788          | 0.55     | 0.5717     | 2.4380 | 0.55     | 0.5462   | 0.1680 | 0.2070 |
| 0.4086        | 83.0  | 581  | 1.6761          | 0.5525   | 0.5712     | 2.4366 | 0.5525   | 0.5505   | 0.1809 | 0.2064 |
| 0.4086        | 84.0  | 588  | 1.6778          | 0.55     | 0.5714     | 2.4388 | 0.55     | 0.5443   | 0.1571 | 0.2073 |
| 0.4086        | 85.0  | 595  | 1.6772          | 0.5525   | 0.5716     | 2.4367 | 0.5525   | 0.5479   | 0.1768 | 0.2073 |
| 0.4086        | 86.0  | 602  | 1.6789          | 0.5525   | 0.5722     | 2.4376 | 0.5525   | 0.5470   | 0.1646 | 0.2066 |
| 0.4086        | 87.0  | 609  | 1.6784          | 0.5525   | 0.5717     | 2.4384 | 0.5525   | 0.5486   | 0.1743 | 0.2073 |
| 0.4086        | 88.0  | 616  | 1.6786          | 0.55     | 0.5720     | 2.4382 | 0.55     | 0.5443   | 0.1559 | 0.2077 |
| 0.4086        | 89.0  | 623  | 1.6784          | 0.5525   | 0.5718     | 2.4379 | 0.5525   | 0.5479   | 0.1561 | 0.2073 |
| 0.4086        | 90.0  | 630  | 1.6782          | 0.5525   | 0.5718     | 2.4381 | 0.5525   | 0.5482   | 0.1561 | 0.2066 |
| 0.4086        | 91.0  | 637  | 1.6784          | 0.5525   | 0.5719     | 2.4375 | 0.5525   | 0.5482   | 0.1612 | 0.2065 |
| 0.4086        | 92.0  | 644  | 1.6783          | 0.55     | 0.5718     | 2.4377 | 0.55     | 0.5456   | 0.1702 | 0.2073 |
| 0.4086        | 93.0  | 651  | 1.6781          | 0.55     | 0.5718     | 2.4378 | 0.55     | 0.5456   | 0.1581 | 0.2075 |
| 0.4086        | 94.0  | 658  | 1.6785          | 0.55     | 0.5719     | 2.4379 | 0.55     | 0.5455   | 0.1602 | 0.2074 |
| 0.4086        | 95.0  | 665  | 1.6785          | 0.55     | 0.5719     | 2.4379 | 0.55     | 0.5456   | 0.1635 | 0.2075 |
| 0.4086        | 96.0  | 672  | 1.6785          | 0.5475   | 0.5719     | 2.4381 | 0.5475   | 0.5432   | 0.1659 | 0.2080 |
| 0.4086        | 97.0  | 679  | 1.6786          | 0.55     | 0.5719     | 2.4381 | 0.55     | 0.5458   | 0.1545 | 0.2071 |
| 0.4086        | 98.0  | 686  | 1.6786          | 0.5475   | 0.5719     | 2.4381 | 0.5475   | 0.5431   | 0.1613 | 0.2081 |
| 0.4086        | 99.0  | 693  | 1.6786          | 0.5475   | 0.5719     | 2.4381 | 0.5475   | 0.5431   | 0.1613 | 0.2081 |
| 0.4086        | 100.0 | 700  | 1.6786          | 0.5475   | 0.5719     | 2.4381 | 0.5475   | 0.5432   | 0.1563 | 0.2080 |


### Framework versions

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

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