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# swin-tiny-patch4-window7-224-finetuned-ADC-4cls-0922

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8947
- Accuracy: 0.7

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 2    | 0.9655          | 0.6714   |
| No log        | 2.0   | 4    | 0.9654          | 0.6571   |
| No log        | 3.0   | 6    | 0.9651          | 0.6571   |
| No log        | 4.0   | 8    | 0.9647          | 0.6571   |
| 1.0064        | 5.0   | 10   | 0.9641          | 0.6571   |
| 1.0064        | 6.0   | 12   | 0.9635          | 0.6571   |
| 1.0064        | 7.0   | 14   | 0.9629          | 0.6571   |
| 1.0064        | 8.0   | 16   | 0.9623          | 0.6571   |
| 1.0064        | 9.0   | 18   | 0.9617          | 0.6571   |
| 0.9821        | 10.0  | 20   | 0.9611          | 0.6571   |
| 0.9821        | 11.0  | 22   | 0.9607          | 0.6571   |
| 0.9821        | 12.0  | 24   | 0.9604          | 0.6714   |
| 0.9821        | 13.0  | 26   | 0.9601          | 0.6714   |
| 0.9821        | 14.0  | 28   | 0.9597          | 0.6714   |
| 1.0278        | 15.0  | 30   | 0.9592          | 0.6714   |
| 1.0278        | 16.0  | 32   | 0.9581          | 0.6714   |
| 1.0278        | 17.0  | 34   | 0.9567          | 0.6714   |
| 1.0278        | 18.0  | 36   | 0.9551          | 0.6714   |
| 1.0278        | 19.0  | 38   | 0.9534          | 0.6714   |
| 0.9986        | 20.0  | 40   | 0.9514          | 0.6571   |
| 0.9986        | 21.0  | 42   | 0.9493          | 0.6571   |
| 0.9986        | 22.0  | 44   | 0.9472          | 0.6429   |
| 0.9986        | 23.0  | 46   | 0.9452          | 0.6429   |
| 0.9986        | 24.0  | 48   | 0.9434          | 0.6429   |
| 0.9973        | 25.0  | 50   | 0.9420          | 0.6429   |
| 0.9973        | 26.0  | 52   | 0.9405          | 0.6429   |
| 0.9973        | 27.0  | 54   | 0.9387          | 0.6286   |
| 0.9973        | 28.0  | 56   | 0.9376          | 0.6286   |
| 0.9973        | 29.0  | 58   | 0.9368          | 0.6429   |
| 0.9936        | 30.0  | 60   | 0.9362          | 0.6429   |
| 0.9936        | 31.0  | 62   | 0.9361          | 0.6571   |
| 0.9936        | 32.0  | 64   | 0.9364          | 0.6714   |
| 0.9936        | 33.0  | 66   | 0.9371          | 0.6714   |
| 0.9936        | 34.0  | 68   | 0.9380          | 0.6429   |
| 0.9746        | 35.0  | 70   | 0.9380          | 0.6571   |
| 0.9746        | 36.0  | 72   | 0.9375          | 0.6714   |
| 0.9746        | 37.0  | 74   | 0.9380          | 0.6714   |
| 0.9746        | 38.0  | 76   | 0.9375          | 0.6714   |
| 0.9746        | 39.0  | 78   | 0.9370          | 0.6714   |
| 1.0113        | 40.0  | 80   | 0.9362          | 0.6714   |
| 1.0113        | 41.0  | 82   | 0.9341          | 0.6714   |
| 1.0113        | 42.0  | 84   | 0.9301          | 0.6857   |
| 1.0113        | 43.0  | 86   | 0.9260          | 0.6714   |
| 1.0113        | 44.0  | 88   | 0.9224          | 0.6571   |
| 0.9756        | 45.0  | 90   | 0.9190          | 0.6714   |
| 0.9756        | 46.0  | 92   | 0.9154          | 0.6714   |
| 0.9756        | 47.0  | 94   | 0.9123          | 0.6714   |
| 0.9756        | 48.0  | 96   | 0.9091          | 0.6571   |
| 0.9756        | 49.0  | 98   | 0.9071          | 0.6571   |
| 0.9721        | 50.0  | 100  | 0.9056          | 0.6571   |
| 0.9721        | 51.0  | 102  | 0.9047          | 0.6571   |
| 0.9721        | 52.0  | 104  | 0.9039          | 0.6571   |
| 0.9721        | 53.0  | 106  | 0.9031          | 0.6714   |
| 0.9721        | 54.0  | 108  | 0.9025          | 0.6714   |
| 0.9698        | 55.0  | 110  | 0.9023          | 0.6714   |
| 0.9698        | 56.0  | 112  | 0.9012          | 0.6714   |
| 0.9698        | 57.0  | 114  | 0.8997          | 0.6714   |
| 0.9698        | 58.0  | 116  | 0.8982          | 0.6714   |
| 0.9698        | 59.0  | 118  | 0.8970          | 0.6714   |
| 0.9341        | 60.0  | 120  | 0.8957          | 0.6857   |
| 0.9341        | 61.0  | 122  | 0.8947          | 0.7      |
| 0.9341        | 62.0  | 124  | 0.8940          | 0.7      |
| 0.9341        | 63.0  | 126  | 0.8941          | 0.6714   |
| 0.9341        | 64.0  | 128  | 0.8934          | 0.6714   |
| 0.9717        | 65.0  | 130  | 0.8917          | 0.6714   |
| 0.9717        | 66.0  | 132  | 0.8898          | 0.6857   |
| 0.9717        | 67.0  | 134  | 0.8884          | 0.6857   |
| 0.9717        | 68.0  | 136  | 0.8870          | 0.6857   |
| 0.9717        | 69.0  | 138  | 0.8854          | 0.6857   |
| 0.9655        | 70.0  | 140  | 0.8840          | 0.6857   |
| 0.9655        | 71.0  | 142  | 0.8827          | 0.6857   |
| 0.9655        | 72.0  | 144  | 0.8814          | 0.6857   |
| 0.9655        | 73.0  | 146  | 0.8805          | 0.6857   |
| 0.9655        | 74.0  | 148  | 0.8803          | 0.6857   |
| 0.9458        | 75.0  | 150  | 0.8802          | 0.6857   |
| 0.9458        | 76.0  | 152  | 0.8797          | 0.6714   |
| 0.9458        | 77.0  | 154  | 0.8794          | 0.6714   |
| 0.9458        | 78.0  | 156  | 0.8796          | 0.6714   |
| 0.9458        | 79.0  | 158  | 0.8808          | 0.6714   |
| 0.9094        | 80.0  | 160  | 0.8817          | 0.6714   |
| 0.9094        | 81.0  | 162  | 0.8828          | 0.6714   |
| 0.9094        | 82.0  | 164  | 0.8836          | 0.6714   |
| 0.9094        | 83.0  | 166  | 0.8830          | 0.6714   |
| 0.9094        | 84.0  | 168  | 0.8821          | 0.6571   |
| 0.8719        | 85.0  | 170  | 0.8813          | 0.6571   |
| 0.8719        | 86.0  | 172  | 0.8804          | 0.6714   |
| 0.8719        | 87.0  | 174  | 0.8798          | 0.6571   |
| 0.8719        | 88.0  | 176  | 0.8787          | 0.6571   |
| 0.8719        | 89.0  | 178  | 0.8770          | 0.6571   |
| 0.9288        | 90.0  | 180  | 0.8752          | 0.6857   |
| 0.9288        | 91.0  | 182  | 0.8722          | 0.6857   |
| 0.9288        | 92.0  | 184  | 0.8694          | 0.6714   |
| 0.9288        | 93.0  | 186  | 0.8670          | 0.6714   |
| 0.9288        | 94.0  | 188  | 0.8645          | 0.6857   |
| 0.9039        | 95.0  | 190  | 0.8624          | 0.6857   |
| 0.9039        | 96.0  | 192  | 0.8603          | 0.6714   |
| 0.9039        | 97.0  | 194  | 0.8584          | 0.6857   |
| 0.9039        | 98.0  | 196  | 0.8566          | 0.6857   |
| 0.9039        | 99.0  | 198  | 0.8553          | 0.6857   |
| 0.9081        | 100.0 | 200  | 0.8550          | 0.6857   |
| 0.9081        | 101.0 | 202  | 0.8551          | 0.6857   |
| 0.9081        | 102.0 | 204  | 0.8556          | 0.6857   |
| 0.9081        | 103.0 | 206  | 0.8558          | 0.6857   |
| 0.9081        | 104.0 | 208  | 0.8554          | 0.6857   |
| 0.9142        | 105.0 | 210  | 0.8551          | 0.6857   |
| 0.9142        | 106.0 | 212  | 0.8553          | 0.6857   |
| 0.9142        | 107.0 | 214  | 0.8551          | 0.6857   |
| 0.9142        | 108.0 | 216  | 0.8549          | 0.6857   |
| 0.9142        | 109.0 | 218  | 0.8549          | 0.6857   |
| 0.9347        | 110.0 | 220  | 0.8551          | 0.6714   |
| 0.9347        | 111.0 | 222  | 0.8554          | 0.6714   |
| 0.9347        | 112.0 | 224  | 0.8548          | 0.6714   |
| 0.9347        | 113.0 | 226  | 0.8538          | 0.6714   |
| 0.9347        | 114.0 | 228  | 0.8525          | 0.6714   |
| 0.8922        | 115.0 | 230  | 0.8512          | 0.6857   |
| 0.8922        | 116.0 | 232  | 0.8505          | 0.6857   |
| 0.8922        | 117.0 | 234  | 0.8495          | 0.6857   |
| 0.8922        | 118.0 | 236  | 0.8484          | 0.6857   |
| 0.8922        | 119.0 | 238  | 0.8472          | 0.6857   |
| 0.8897        | 120.0 | 240  | 0.8456          | 0.6857   |
| 0.8897        | 121.0 | 242  | 0.8440          | 0.6857   |
| 0.8897        | 122.0 | 244  | 0.8426          | 0.6714   |
| 0.8897        | 123.0 | 246  | 0.8412          | 0.6857   |
| 0.8897        | 124.0 | 248  | 0.8396          | 0.6857   |
| 0.8829        | 125.0 | 250  | 0.8384          | 0.6857   |
| 0.8829        | 126.0 | 252  | 0.8373          | 0.6857   |
| 0.8829        | 127.0 | 254  | 0.8365          | 0.6857   |
| 0.8829        | 128.0 | 256  | 0.8360          | 0.6857   |
| 0.8829        | 129.0 | 258  | 0.8353          | 0.6857   |
| 0.8744        | 130.0 | 260  | 0.8344          | 0.6857   |
| 0.8744        | 131.0 | 262  | 0.8337          | 0.6714   |
| 0.8744        | 132.0 | 264  | 0.8329          | 0.6857   |
| 0.8744        | 133.0 | 266  | 0.8325          | 0.6857   |
| 0.8744        | 134.0 | 268  | 0.8318          | 0.6857   |
| 0.8657        | 135.0 | 270  | 0.8312          | 0.6857   |
| 0.8657        | 136.0 | 272  | 0.8306          | 0.6714   |
| 0.8657        | 137.0 | 274  | 0.8300          | 0.6714   |
| 0.8657        | 138.0 | 276  | 0.8296          | 0.6714   |
| 0.8657        | 139.0 | 278  | 0.8294          | 0.6714   |
| 0.9421        | 140.0 | 280  | 0.8292          | 0.6714   |
| 0.9421        | 141.0 | 282  | 0.8291          | 0.6714   |
| 0.9421        | 142.0 | 284  | 0.8290          | 0.6714   |
| 0.9421        | 143.0 | 286  | 0.8290          | 0.6857   |
| 0.9421        | 144.0 | 288  | 0.8289          | 0.6857   |
| 0.9066        | 145.0 | 290  | 0.8287          | 0.6857   |
| 0.9066        | 146.0 | 292  | 0.8290          | 0.6857   |
| 0.9066        | 147.0 | 294  | 0.8293          | 0.6857   |
| 0.9066        | 148.0 | 296  | 0.8294          | 0.6857   |
| 0.9066        | 149.0 | 298  | 0.8295          | 0.6857   |
| 0.9068        | 150.0 | 300  | 0.8295          | 0.6857   |
| 0.9068        | 151.0 | 302  | 0.8294          | 0.6857   |
| 0.9068        | 152.0 | 304  | 0.8293          | 0.6857   |
| 0.9068        | 153.0 | 306  | 0.8293          | 0.6857   |
| 0.9068        | 154.0 | 308  | 0.8290          | 0.6857   |
| 0.8715        | 155.0 | 310  | 0.8287          | 0.6857   |
| 0.8715        | 156.0 | 312  | 0.8283          | 0.6857   |
| 0.8715        | 157.0 | 314  | 0.8277          | 0.6857   |
| 0.8715        | 158.0 | 316  | 0.8274          | 0.6857   |
| 0.8715        | 159.0 | 318  | 0.8269          | 0.6857   |
| 0.8921        | 160.0 | 320  | 0.8266          | 0.6857   |
| 0.8921        | 161.0 | 322  | 0.8264          | 0.6857   |
| 0.8921        | 162.0 | 324  | 0.8261          | 0.6857   |
| 0.8921        | 163.0 | 326  | 0.8260          | 0.6857   |
| 0.8921        | 164.0 | 328  | 0.8258          | 0.6857   |
| 0.8768        | 165.0 | 330  | 0.8252          | 0.6857   |
| 0.8768        | 166.0 | 332  | 0.8248          | 0.6857   |
| 0.8768        | 167.0 | 334  | 0.8243          | 0.6857   |
| 0.8768        | 168.0 | 336  | 0.8237          | 0.6857   |
| 0.8768        | 169.0 | 338  | 0.8231          | 0.6857   |
| 0.8519        | 170.0 | 340  | 0.8227          | 0.6857   |
| 0.8519        | 171.0 | 342  | 0.8223          | 0.6857   |
| 0.8519        | 172.0 | 344  | 0.8221          | 0.6857   |
| 0.8519        | 173.0 | 346  | 0.8220          | 0.6857   |
| 0.8519        | 174.0 | 348  | 0.8218          | 0.6857   |
| 0.92          | 175.0 | 350  | 0.8215          | 0.6857   |
| 0.92          | 176.0 | 352  | 0.8211          | 0.7      |
| 0.92          | 177.0 | 354  | 0.8207          | 0.7      |
| 0.92          | 178.0 | 356  | 0.8204          | 0.7      |
| 0.92          | 179.0 | 358  | 0.8200          | 0.7      |
| 0.879         | 180.0 | 360  | 0.8197          | 0.7      |
| 0.879         | 181.0 | 362  | 0.8194          | 0.7      |
| 0.879         | 182.0 | 364  | 0.8191          | 0.6857   |
| 0.879         | 183.0 | 366  | 0.8187          | 0.6857   |
| 0.879         | 184.0 | 368  | 0.8185          | 0.7      |
| 0.8893        | 185.0 | 370  | 0.8182          | 0.7      |
| 0.8893        | 186.0 | 372  | 0.8180          | 0.7      |
| 0.8893        | 187.0 | 374  | 0.8177          | 0.7      |
| 0.8893        | 188.0 | 376  | 0.8176          | 0.7      |
| 0.8893        | 189.0 | 378  | 0.8175          | 0.7      |
| 0.8501        | 190.0 | 380  | 0.8173          | 0.7      |
| 0.8501        | 191.0 | 382  | 0.8171          | 0.7      |
| 0.8501        | 192.0 | 384  | 0.8170          | 0.7      |
| 0.8501        | 193.0 | 386  | 0.8169          | 0.7      |
| 0.8501        | 194.0 | 388  | 0.8169          | 0.7      |
| 0.8611        | 195.0 | 390  | 0.8168          | 0.7      |
| 0.8611        | 196.0 | 392  | 0.8168          | 0.7      |
| 0.8611        | 197.0 | 394  | 0.8168          | 0.7      |
| 0.8611        | 198.0 | 396  | 0.8168          | 0.7      |
| 0.8611        | 199.0 | 398  | 0.8168          | 0.7      |
| 0.8881        | 200.0 | 400  | 0.8168          | 0.7      |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

color pattern_fail residue tiny