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# swin-tiny-patch4-window7-224-finetuned-st-wsdmhar-160

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: 0.1319
- Accuracy: 0.9735

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 160

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6426        | 1.0   | 53   | 1.5279          | 0.4642   |
| 0.9084        | 2.0   | 106  | 0.7447          | 0.7028   |
| 0.6514        | 3.0   | 159  | 0.5340          | 0.7934   |
| 0.56          | 4.0   | 212  | 0.5470          | 0.7621   |
| 0.4578        | 5.0   | 265  | 0.3704          | 0.8547   |
| 0.4811        | 6.0   | 318  | 0.3317          | 0.8705   |
| 0.4211        | 7.0   | 371  | 0.3045          | 0.8764   |
| 0.3828        | 8.0   | 424  | 0.3240          | 0.8908   |
| 0.3505        | 9.0   | 477  | 0.2840          | 0.8836   |
| 0.3652        | 10.0  | 530  | 0.2430          | 0.9084   |
| 0.3385        | 11.0  | 583  | 0.2359          | 0.9153   |
| 0.3071        | 12.0  | 636  | 0.2899          | 0.8946   |
| 0.3319        | 13.0  | 689  | 0.2588          | 0.9108   |
| 0.2657        | 14.0  | 742  | 0.1920          | 0.9270   |
| 0.2423        | 15.0  | 795  | 0.1830          | 0.9370   |
| 0.2625        | 16.0  | 848  | 0.2116          | 0.9273   |
| 0.2394        | 17.0  | 901  | 0.1917          | 0.9353   |
| 0.2245        | 18.0  | 954  | 0.1894          | 0.9280   |
| 0.2123        | 19.0  | 1007 | 0.1768          | 0.9346   |
| 0.2158        | 20.0  | 1060 | 0.1902          | 0.9311   |
| 0.1943        | 21.0  | 1113 | 0.1704          | 0.9390   |
| 0.1712        | 22.0  | 1166 | 0.1442          | 0.9466   |
| 0.2073        | 23.0  | 1219 | 0.1279          | 0.9552   |
| 0.1676        | 24.0  | 1272 | 0.1548          | 0.9459   |
| 0.1775        | 25.0  | 1325 | 0.1371          | 0.9497   |
| 0.1644        | 26.0  | 1378 | 0.1247          | 0.9563   |
| 0.1652        | 27.0  | 1431 | 0.1547          | 0.9408   |
| 0.1383        | 28.0  | 1484 | 0.1301          | 0.9545   |
| 0.1268        | 29.0  | 1537 | 0.1484          | 0.9504   |
| 0.1252        | 30.0  | 1590 | 0.1385          | 0.9549   |
| 0.1288        | 31.0  | 1643 | 0.1368          | 0.9521   |
| 0.1353        | 32.0  | 1696 | 0.1184          | 0.9597   |
| 0.1585        | 33.0  | 1749 | 0.1218          | 0.9570   |
| 0.1445        | 34.0  | 1802 | 0.1173          | 0.9597   |
| 0.1381        | 35.0  | 1855 | 0.1160          | 0.9614   |
| 0.1398        | 36.0  | 1908 | 0.1292          | 0.9542   |
| 0.1138        | 37.0  | 1961 | 0.1135          | 0.9597   |
| 0.147         | 38.0  | 2014 | 0.0958          | 0.9690   |
| 0.0927        | 39.0  | 2067 | 0.1008          | 0.9663   |
| 0.1031        | 40.0  | 2120 | 0.1105          | 0.9659   |
| 0.1197        | 41.0  | 2173 | 0.1010          | 0.9656   |
| 0.1325        | 42.0  | 2226 | 0.1178          | 0.9621   |
| 0.0862        | 43.0  | 2279 | 0.1042          | 0.9659   |
| 0.1037        | 44.0  | 2332 | 0.1016          | 0.9680   |
| 0.0885        | 45.0  | 2385 | 0.1063          | 0.9649   |
| 0.1217        | 46.0  | 2438 | 0.1117          | 0.9673   |
| 0.0947        | 47.0  | 2491 | 0.1048          | 0.9673   |
| 0.0831        | 48.0  | 2544 | 0.1061          | 0.9666   |
| 0.1082        | 49.0  | 2597 | 0.0946          | 0.9680   |
| 0.0856        | 50.0  | 2650 | 0.1139          | 0.9694   |
| 0.0832        | 51.0  | 2703 | 0.1152          | 0.9618   |
| 0.0823        | 52.0  | 2756 | 0.0970          | 0.9721   |
| 0.0773        | 53.0  | 2809 | 0.1049          | 0.9683   |
| 0.0794        | 54.0  | 2862 | 0.1048          | 0.9731   |
| 0.0813        | 55.0  | 2915 | 0.1089          | 0.9669   |
| 0.079         | 56.0  | 2968 | 0.0982          | 0.9704   |
| 0.095         | 57.0  | 3021 | 0.1242          | 0.9680   |
| 0.0775        | 58.0  | 3074 | 0.1262          | 0.9676   |
| 0.0795        | 59.0  | 3127 | 0.1276          | 0.9649   |
| 0.0619        | 60.0  | 3180 | 0.0937          | 0.9704   |
| 0.0688        | 61.0  | 3233 | 0.1149          | 0.9707   |
| 0.0932        | 62.0  | 3286 | 0.1019          | 0.9700   |
| 0.0675        | 63.0  | 3339 | 0.1239          | 0.9687   |
| 0.0715        | 64.0  | 3392 | 0.1143          | 0.9669   |
| 0.0858        | 65.0  | 3445 | 0.1053          | 0.9680   |
| 0.0646        | 66.0  | 3498 | 0.1150          | 0.9694   |
| 0.0736        | 67.0  | 3551 | 0.1119          | 0.9700   |
| 0.0665        | 68.0  | 3604 | 0.1031          | 0.9721   |
| 0.0509        | 69.0  | 3657 | 0.1069          | 0.9731   |
| 0.0642        | 70.0  | 3710 | 0.1171          | 0.9704   |
| 0.0588        | 71.0  | 3763 | 0.1235          | 0.9718   |
| 0.0837        | 72.0  | 3816 | 0.1121          | 0.9700   |
| 0.0534        | 73.0  | 3869 | 0.1162          | 0.9704   |
| 0.0612        | 74.0  | 3922 | 0.1116          | 0.9697   |
| 0.0621        | 75.0  | 3975 | 0.1220          | 0.9700   |
| 0.063         | 76.0  | 4028 | 0.1084          | 0.9714   |
| 0.0604        | 77.0  | 4081 | 0.1180          | 0.9694   |
| 0.0511        | 78.0  | 4134 | 0.1325          | 0.9687   |
| 0.05          | 79.0  | 4187 | 0.1179          | 0.9680   |
| 0.072         | 80.0  | 4240 | 0.1516          | 0.9597   |
| 0.0746        | 81.0  | 4293 | 0.1159          | 0.9714   |
| 0.0544        | 82.0  | 4346 | 0.1201          | 0.9707   |
| 0.0527        | 83.0  | 4399 | 0.1232          | 0.9725   |
| 0.044         | 84.0  | 4452 | 0.1450          | 0.9700   |
| 0.0462        | 85.0  | 4505 | 0.1229          | 0.9690   |
| 0.0445        | 86.0  | 4558 | 0.1404          | 0.9669   |
| 0.0524        | 87.0  | 4611 | 0.1153          | 0.9711   |
| 0.0638        | 88.0  | 4664 | 0.1207          | 0.9707   |
| 0.0435        | 89.0  | 4717 | 0.1289          | 0.9718   |
| 0.0567        | 90.0  | 4770 | 0.1167          | 0.9700   |
| 0.0553        | 91.0  | 4823 | 0.1100          | 0.9742   |
| 0.0566        | 92.0  | 4876 | 0.1319          | 0.9721   |
| 0.0462        | 93.0  | 4929 | 0.1275          | 0.9707   |
| 0.0539        | 94.0  | 4982 | 0.1263          | 0.9711   |
| 0.0561        | 95.0  | 5035 | 0.1333          | 0.9725   |
| 0.0362        | 96.0  | 5088 | 0.1241          | 0.9704   |
| 0.0435        | 97.0  | 5141 | 0.1199          | 0.9714   |
| 0.0637        | 98.0  | 5194 | 0.1290          | 0.9707   |
| 0.0466        | 99.0  | 5247 | 0.1200          | 0.9666   |
| 0.0471        | 100.0 | 5300 | 0.1556          | 0.9656   |
| 0.0407        | 101.0 | 5353 | 0.1334          | 0.9707   |
| 0.0375        | 102.0 | 5406 | 0.1307          | 0.9707   |
| 0.0375        | 103.0 | 5459 | 0.1392          | 0.9687   |
| 0.0354        | 104.0 | 5512 | 0.1237          | 0.9714   |
| 0.0523        | 105.0 | 5565 | 0.1298          | 0.9711   |
| 0.0307        | 106.0 | 5618 | 0.1283          | 0.9687   |
| 0.0427        | 107.0 | 5671 | 0.1300          | 0.9683   |
| 0.0327        | 108.0 | 5724 | 0.1292          | 0.9711   |
| 0.0411        | 109.0 | 5777 | 0.1377          | 0.9683   |
| 0.0422        | 110.0 | 5830 | 0.1260          | 0.9697   |
| 0.044         | 111.0 | 5883 | 0.1183          | 0.9731   |
| 0.0332        | 112.0 | 5936 | 0.1347          | 0.9735   |
| 0.0302        | 113.0 | 5989 | 0.1251          | 0.9731   |
| 0.0273        | 114.0 | 6042 | 0.1100          | 0.9728   |
| 0.0442        | 115.0 | 6095 | 0.1368          | 0.9728   |
| 0.0337        | 116.0 | 6148 | 0.1308          | 0.9697   |
| 0.0395        | 117.0 | 6201 | 0.1198          | 0.9738   |
| 0.0398        | 118.0 | 6254 | 0.1344          | 0.9697   |
| 0.0362        | 119.0 | 6307 | 0.1243          | 0.9752   |
| 0.035         | 120.0 | 6360 | 0.1363          | 0.9735   |
| 0.0389        | 121.0 | 6413 | 0.1271          | 0.9756   |
| 0.0305        | 122.0 | 6466 | 0.1277          | 0.9759   |
| 0.0366        | 123.0 | 6519 | 0.1276          | 0.9704   |
| 0.0329        | 124.0 | 6572 | 0.1192          | 0.9780   |
| 0.0304        | 125.0 | 6625 | 0.1325          | 0.9728   |
| 0.0289        | 126.0 | 6678 | 0.1334          | 0.9728   |
| 0.0362        | 127.0 | 6731 | 0.1272          | 0.9707   |
| 0.0326        | 128.0 | 6784 | 0.1250          | 0.9735   |
| 0.0357        | 129.0 | 6837 | 0.1255          | 0.9749   |
| 0.0264        | 130.0 | 6890 | 0.1326          | 0.9769   |
| 0.0324        | 131.0 | 6943 | 0.1359          | 0.9752   |
| 0.0258        | 132.0 | 6996 | 0.1229          | 0.9766   |
| 0.033         | 133.0 | 7049 | 0.1184          | 0.9759   |
| 0.0259        | 134.0 | 7102 | 0.1416          | 0.9718   |
| 0.0362        | 135.0 | 7155 | 0.1310          | 0.9745   |
| 0.0263        | 136.0 | 7208 | 0.1434          | 0.9728   |
| 0.0406        | 137.0 | 7261 | 0.1271          | 0.9745   |
| 0.027         | 138.0 | 7314 | 0.1395          | 0.9728   |
| 0.0417        | 139.0 | 7367 | 0.1307          | 0.9735   |
| 0.0321        | 140.0 | 7420 | 0.1276          | 0.9742   |
| 0.0451        | 141.0 | 7473 | 0.1338          | 0.9759   |
| 0.029         | 142.0 | 7526 | 0.1337          | 0.9749   |
| 0.0337        | 143.0 | 7579 | 0.1315          | 0.9745   |
| 0.0212        | 144.0 | 7632 | 0.1331          | 0.9759   |
| 0.0301        | 145.0 | 7685 | 0.1291          | 0.9759   |
| 0.0306        | 146.0 | 7738 | 0.1276          | 0.9749   |
| 0.0283        | 147.0 | 7791 | 0.1275          | 0.9731   |
| 0.0291        | 148.0 | 7844 | 0.1293          | 0.9752   |
| 0.0265        | 149.0 | 7897 | 0.1381          | 0.9749   |
| 0.0326        | 150.0 | 7950 | 0.1308          | 0.9742   |
| 0.0301        | 151.0 | 8003 | 0.1279          | 0.9731   |
| 0.021         | 152.0 | 8056 | 0.1312          | 0.9735   |
| 0.0186        | 153.0 | 8109 | 0.1364          | 0.9735   |
| 0.0322        | 154.0 | 8162 | 0.1367          | 0.9725   |
| 0.0229        | 155.0 | 8215 | 0.1347          | 0.9745   |
| 0.0249        | 156.0 | 8268 | 0.1360          | 0.9728   |
| 0.0312        | 157.0 | 8321 | 0.1325          | 0.9731   |
| 0.0295        | 158.0 | 8374 | 0.1315          | 0.9735   |
| 0.0234        | 159.0 | 8427 | 0.1308          | 0.9738   |
| 0.0239        | 160.0 | 8480 | 0.1319          | 0.9735   |


### Framework versions

- Transformers 4.43.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1

downstairs jogging sitting standing upstairs walking