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# vit-tiny_rvl_cdip_100_examples_per_class_kd_CEKD_t1.5_a0.9

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: 1.5908
- Accuracy: 0.54
- Brier Loss: 0.6121
- Nll: 2.4999
- F1 Micro: 0.54
- F1 Macro: 0.5334
- Ece: 0.1895
- Aurc: 0.2228

## 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    | 3.9334          | 0.0425   | 1.0719     | 7.3494 | 0.0425   | 0.0341   | 0.2781 | 0.9557 |
| No log        | 2.0   | 14   | 3.0206          | 0.09     | 0.9526     | 5.9271 | 0.09     | 0.0682   | 0.1659 | 0.8896 |
| No log        | 3.0   | 21   | 2.6955          | 0.2275   | 0.8867     | 5.4041 | 0.2275   | 0.1804   | 0.1637 | 0.6351 |
| No log        | 4.0   | 28   | 2.3029          | 0.29     | 0.8005     | 3.5699 | 0.29     | 0.2727   | 0.1512 | 0.4877 |
| No log        | 5.0   | 35   | 2.0293          | 0.37     | 0.7219     | 2.9856 | 0.37     | 0.3519   | 0.1495 | 0.3632 |
| No log        | 6.0   | 42   | 1.9194          | 0.44     | 0.6926     | 2.9746 | 0.44     | 0.4240   | 0.1778 | 0.3091 |
| No log        | 7.0   | 49   | 1.9640          | 0.4675   | 0.7000     | 3.0857 | 0.4675   | 0.4390   | 0.2009 | 0.3004 |
| No log        | 8.0   | 56   | 1.9049          | 0.4625   | 0.7003     | 2.8472 | 0.4625   | 0.4602   | 0.2053 | 0.3051 |
| No log        | 9.0   | 63   | 2.0561          | 0.4675   | 0.7168     | 2.8229 | 0.4675   | 0.4501   | 0.2288 | 0.2994 |
| No log        | 10.0  | 70   | 2.1002          | 0.45     | 0.7433     | 2.7915 | 0.45     | 0.4234   | 0.2691 | 0.3022 |
| No log        | 11.0  | 77   | 2.2528          | 0.4525   | 0.7686     | 3.0103 | 0.4525   | 0.4320   | 0.2921 | 0.3183 |
| No log        | 12.0  | 84   | 2.1190          | 0.475    | 0.7427     | 2.6715 | 0.4750   | 0.4660   | 0.2832 | 0.3077 |
| No log        | 13.0  | 91   | 2.3102          | 0.445    | 0.7825     | 2.9698 | 0.445    | 0.4252   | 0.3093 | 0.3100 |
| No log        | 14.0  | 98   | 2.3501          | 0.42     | 0.8145     | 2.7585 | 0.4200   | 0.4248   | 0.3206 | 0.3662 |
| No log        | 15.0  | 105  | 2.2402          | 0.495    | 0.7423     | 3.0313 | 0.495    | 0.4702   | 0.2692 | 0.2818 |
| No log        | 16.0  | 112  | 2.2266          | 0.49     | 0.7349     | 2.8824 | 0.49     | 0.4714   | 0.2763 | 0.2895 |
| No log        | 17.0  | 119  | 2.2989          | 0.4725   | 0.7509     | 3.0951 | 0.4725   | 0.4499   | 0.2863 | 0.2855 |
| No log        | 18.0  | 126  | 2.1355          | 0.47     | 0.7322     | 2.9349 | 0.47     | 0.4616   | 0.2725 | 0.2845 |
| No log        | 19.0  | 133  | 2.0965          | 0.505    | 0.7067     | 2.8254 | 0.505    | 0.4956   | 0.2523 | 0.2757 |
| No log        | 20.0  | 140  | 2.1961          | 0.485    | 0.7358     | 3.1604 | 0.485    | 0.4567   | 0.2825 | 0.2841 |
| No log        | 21.0  | 147  | 2.1287          | 0.5025   | 0.7247     | 2.5998 | 0.5025   | 0.5074   | 0.2703 | 0.3064 |
| No log        | 22.0  | 154  | 2.2280          | 0.4675   | 0.7760     | 2.8571 | 0.4675   | 0.4636   | 0.2911 | 0.3232 |
| No log        | 23.0  | 161  | 1.9649          | 0.5025   | 0.6828     | 2.8224 | 0.5025   | 0.4970   | 0.2410 | 0.2633 |
| No log        | 24.0  | 168  | 1.9361          | 0.5125   | 0.6780     | 2.7309 | 0.5125   | 0.5035   | 0.2326 | 0.2553 |
| No log        | 25.0  | 175  | 2.0161          | 0.5      | 0.6980     | 2.9958 | 0.5      | 0.4912   | 0.2580 | 0.2556 |
| No log        | 26.0  | 182  | 1.8763          | 0.5025   | 0.6624     | 2.8291 | 0.5025   | 0.4952   | 0.2305 | 0.2431 |
| No log        | 27.0  | 189  | 1.9057          | 0.525    | 0.6793     | 2.5627 | 0.525    | 0.5174   | 0.2161 | 0.2634 |
| No log        | 28.0  | 196  | 1.8529          | 0.52     | 0.6683     | 2.7191 | 0.52     | 0.5132   | 0.2375 | 0.2535 |
| No log        | 29.0  | 203  | 1.9603          | 0.5125   | 0.6831     | 2.7822 | 0.5125   | 0.5076   | 0.2395 | 0.2657 |
| No log        | 30.0  | 210  | 1.8247          | 0.52     | 0.6533     | 2.8547 | 0.52     | 0.5058   | 0.2080 | 0.2426 |
| No log        | 31.0  | 217  | 1.8275          | 0.5125   | 0.6547     | 2.6194 | 0.5125   | 0.5032   | 0.2208 | 0.2488 |
| No log        | 32.0  | 224  | 1.8003          | 0.52     | 0.6455     | 2.6138 | 0.52     | 0.5124   | 0.2302 | 0.2370 |
| No log        | 33.0  | 231  | 1.8714          | 0.505    | 0.6694     | 2.6643 | 0.505    | 0.4970   | 0.2195 | 0.2553 |
| No log        | 34.0  | 238  | 1.8018          | 0.5075   | 0.6659     | 2.5423 | 0.5075   | 0.4978   | 0.2241 | 0.2515 |
| No log        | 35.0  | 245  | 1.7844          | 0.5225   | 0.6503     | 2.6100 | 0.5225   | 0.5181   | 0.2181 | 0.2435 |
| No log        | 36.0  | 252  | 1.8321          | 0.5225   | 0.6674     | 2.7821 | 0.5225   | 0.5020   | 0.2285 | 0.2462 |
| No log        | 37.0  | 259  | 1.7859          | 0.4975   | 0.6725     | 2.6066 | 0.4975   | 0.4974   | 0.2351 | 0.2627 |
| No log        | 38.0  | 266  | 1.7790          | 0.5125   | 0.6595     | 2.6983 | 0.5125   | 0.5023   | 0.2172 | 0.2497 |
| No log        | 39.0  | 273  | 1.6989          | 0.5225   | 0.6401     | 2.6743 | 0.5225   | 0.5151   | 0.2100 | 0.2407 |
| No log        | 40.0  | 280  | 1.7568          | 0.52     | 0.6488     | 2.5294 | 0.52     | 0.5132   | 0.2208 | 0.2442 |
| No log        | 41.0  | 287  | 1.6896          | 0.5275   | 0.6362     | 2.5489 | 0.5275   | 0.5141   | 0.2045 | 0.2323 |
| No log        | 42.0  | 294  | 1.7193          | 0.5275   | 0.6517     | 2.5525 | 0.5275   | 0.5232   | 0.1986 | 0.2467 |
| No log        | 43.0  | 301  | 1.7199          | 0.535    | 0.6403     | 2.5974 | 0.535    | 0.5279   | 0.2104 | 0.2432 |
| No log        | 44.0  | 308  | 1.6594          | 0.5375   | 0.6330     | 2.4854 | 0.5375   | 0.5316   | 0.2015 | 0.2321 |
| No log        | 45.0  | 315  | 1.6543          | 0.5275   | 0.6239     | 2.4955 | 0.5275   | 0.5223   | 0.2144 | 0.2308 |
| No log        | 46.0  | 322  | 1.6490          | 0.5425   | 0.6262     | 2.5215 | 0.5425   | 0.5358   | 0.2104 | 0.2273 |
| No log        | 47.0  | 329  | 1.6570          | 0.54     | 0.6233     | 2.5454 | 0.54     | 0.5380   | 0.2047 | 0.2301 |
| No log        | 48.0  | 336  | 1.6359          | 0.5375   | 0.6218     | 2.5546 | 0.5375   | 0.5320   | 0.2171 | 0.2257 |
| No log        | 49.0  | 343  | 1.6320          | 0.55     | 0.6214     | 2.4958 | 0.55     | 0.5452   | 0.2014 | 0.2267 |
| No log        | 50.0  | 350  | 1.6230          | 0.53     | 0.6208     | 2.4979 | 0.53     | 0.5243   | 0.2017 | 0.2315 |
| No log        | 51.0  | 357  | 1.6374          | 0.535    | 0.6257     | 2.4644 | 0.535    | 0.5293   | 0.2038 | 0.2286 |
| No log        | 52.0  | 364  | 1.6190          | 0.5375   | 0.6199     | 2.5279 | 0.5375   | 0.5310   | 0.1855 | 0.2290 |
| No log        | 53.0  | 371  | 1.6155          | 0.5475   | 0.6158     | 2.4738 | 0.5475   | 0.5435   | 0.1913 | 0.2239 |
| No log        | 54.0  | 378  | 1.6131          | 0.5425   | 0.6184     | 2.4982 | 0.5425   | 0.5377   | 0.1969 | 0.2248 |
| No log        | 55.0  | 385  | 1.6035          | 0.545    | 0.6138     | 2.4690 | 0.545    | 0.5406   | 0.2164 | 0.2223 |
| No log        | 56.0  | 392  | 1.5990          | 0.54     | 0.6153     | 2.4701 | 0.54     | 0.5356   | 0.2019 | 0.2249 |
| No log        | 57.0  | 399  | 1.6024          | 0.5425   | 0.6153     | 2.4626 | 0.5425   | 0.5375   | 0.1826 | 0.2237 |
| No log        | 58.0  | 406  | 1.5935          | 0.545    | 0.6141     | 2.4390 | 0.545    | 0.5415   | 0.1933 | 0.2238 |
| No log        | 59.0  | 413  | 1.6016          | 0.545    | 0.6137     | 2.4640 | 0.545    | 0.5401   | 0.2021 | 0.2230 |
| No log        | 60.0  | 420  | 1.5976          | 0.54     | 0.6146     | 2.4618 | 0.54     | 0.5355   | 0.1912 | 0.2245 |
| No log        | 61.0  | 427  | 1.5984          | 0.545    | 0.6133     | 2.4683 | 0.545    | 0.5408   | 0.1971 | 0.2228 |
| No log        | 62.0  | 434  | 1.5941          | 0.54     | 0.6131     | 2.4639 | 0.54     | 0.5358   | 0.1898 | 0.2236 |
| No log        | 63.0  | 441  | 1.5936          | 0.545    | 0.6123     | 2.4689 | 0.545    | 0.5404   | 0.1953 | 0.2222 |
| No log        | 64.0  | 448  | 1.5970          | 0.5425   | 0.6138     | 2.4647 | 0.5425   | 0.5384   | 0.2015 | 0.2238 |
| No log        | 65.0  | 455  | 1.5943          | 0.545    | 0.6130     | 2.4963 | 0.545    | 0.5400   | 0.1979 | 0.2229 |
| No log        | 66.0  | 462  | 1.5936          | 0.545    | 0.6127     | 2.4977 | 0.545    | 0.5400   | 0.1933 | 0.2229 |
| No log        | 67.0  | 469  | 1.5928          | 0.5425   | 0.6127     | 2.4965 | 0.5425   | 0.5381   | 0.1976 | 0.2233 |
| No log        | 68.0  | 476  | 1.5946          | 0.5425   | 0.6128     | 2.4768 | 0.5425   | 0.5383   | 0.2149 | 0.2233 |
| No log        | 69.0  | 483  | 1.5924          | 0.54     | 0.6126     | 2.4946 | 0.54     | 0.5356   | 0.2094 | 0.2233 |
| No log        | 70.0  | 490  | 1.5921          | 0.54     | 0.6120     | 2.4964 | 0.54     | 0.5356   | 0.1801 | 0.2230 |
| No log        | 71.0  | 497  | 1.5926          | 0.54     | 0.6126     | 2.4955 | 0.54     | 0.5356   | 0.2039 | 0.2235 |
| 0.3138        | 72.0  | 504  | 1.5916          | 0.5425   | 0.6121     | 2.4964 | 0.5425   | 0.5366   | 0.1898 | 0.2229 |
| 0.3138        | 73.0  | 511  | 1.5917          | 0.54     | 0.6119     | 2.4966 | 0.54     | 0.5356   | 0.2039 | 0.2231 |
| 0.3138        | 74.0  | 518  | 1.5918          | 0.54     | 0.6123     | 2.4964 | 0.54     | 0.5351   | 0.2035 | 0.2229 |
| 0.3138        | 75.0  | 525  | 1.5912          | 0.54     | 0.6118     | 2.4975 | 0.54     | 0.5351   | 0.2059 | 0.2228 |
| 0.3138        | 76.0  | 532  | 1.5918          | 0.54     | 0.6124     | 2.4965 | 0.54     | 0.5351   | 0.1971 | 0.2231 |
| 0.3138        | 77.0  | 539  | 1.5919          | 0.5425   | 0.6120     | 2.4974 | 0.5425   | 0.5358   | 0.2087 | 0.2227 |
| 0.3138        | 78.0  | 546  | 1.5903          | 0.54     | 0.6118     | 2.4978 | 0.54     | 0.5341   | 0.2169 | 0.2228 |
| 0.3138        | 79.0  | 553  | 1.5922          | 0.54     | 0.6124     | 2.4976 | 0.54     | 0.5351   | 0.2109 | 0.2234 |
| 0.3138        | 80.0  | 560  | 1.5914          | 0.54     | 0.6122     | 2.4983 | 0.54     | 0.5345   | 0.2041 | 0.2228 |
| 0.3138        | 81.0  | 567  | 1.5907          | 0.54     | 0.6119     | 2.4981 | 0.54     | 0.5345   | 0.2128 | 0.2226 |
| 0.3138        | 82.0  | 574  | 1.5921          | 0.5425   | 0.6124     | 2.4986 | 0.5425   | 0.5362   | 0.2084 | 0.2227 |
| 0.3138        | 83.0  | 581  | 1.5918          | 0.5425   | 0.6125     | 2.4987 | 0.5425   | 0.5362   | 0.2038 | 0.2230 |
| 0.3138        | 84.0  | 588  | 1.5902          | 0.54     | 0.6120     | 2.4989 | 0.54     | 0.5345   | 0.2043 | 0.2226 |
| 0.3138        | 85.0  | 595  | 1.5919          | 0.5425   | 0.6124     | 2.4988 | 0.5425   | 0.5360   | 0.1998 | 0.2228 |
| 0.3138        | 86.0  | 602  | 1.5916          | 0.5425   | 0.6124     | 2.4990 | 0.5425   | 0.5362   | 0.2079 | 0.2227 |
| 0.3138        | 87.0  | 609  | 1.5906          | 0.54     | 0.6120     | 2.4990 | 0.54     | 0.5345   | 0.2037 | 0.2227 |
| 0.3138        | 88.0  | 616  | 1.5908          | 0.54     | 0.6120     | 2.4989 | 0.54     | 0.5345   | 0.2091 | 0.2230 |
| 0.3138        | 89.0  | 623  | 1.5909          | 0.54     | 0.6120     | 2.4995 | 0.54     | 0.5344   | 0.2113 | 0.2228 |
| 0.3138        | 90.0  | 630  | 1.5906          | 0.54     | 0.6119     | 2.4996 | 0.54     | 0.5345   | 0.1969 | 0.2228 |
| 0.3138        | 91.0  | 637  | 1.5911          | 0.5425   | 0.6121     | 2.4999 | 0.5425   | 0.5360   | 0.1954 | 0.2226 |
| 0.3138        | 92.0  | 644  | 1.5909          | 0.54     | 0.6121     | 2.4994 | 0.54     | 0.5344   | 0.1928 | 0.2228 |
| 0.3138        | 93.0  | 651  | 1.5907          | 0.5425   | 0.6121     | 2.4999 | 0.5425   | 0.5360   | 0.2034 | 0.2225 |
| 0.3138        | 94.0  | 658  | 1.5910          | 0.5425   | 0.6122     | 2.4996 | 0.5425   | 0.5360   | 0.1974 | 0.2227 |
| 0.3138        | 95.0  | 665  | 1.5909          | 0.5375   | 0.6121     | 2.4995 | 0.5375   | 0.5319   | 0.1990 | 0.2230 |
| 0.3138        | 96.0  | 672  | 1.5907          | 0.5375   | 0.6120     | 2.4997 | 0.5375   | 0.5318   | 0.1980 | 0.2229 |
| 0.3138        | 97.0  | 679  | 1.5907          | 0.54     | 0.6120     | 2.4998 | 0.54     | 0.5344   | 0.1900 | 0.2228 |
| 0.3138        | 98.0  | 686  | 1.5907          | 0.5425   | 0.6120     | 2.4999 | 0.5425   | 0.5362   | 0.1899 | 0.2226 |
| 0.3138        | 99.0  | 693  | 1.5908          | 0.54     | 0.6121     | 2.4999 | 0.54     | 0.5334   | 0.1936 | 0.2228 |
| 0.3138        | 100.0 | 700  | 1.5908          | 0.54     | 0.6121     | 2.4999 | 0.54     | 0.5334   | 0.1895 | 0.2228 |


### Framework versions

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

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