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# swinv2-tiny-patch4-window8-256-DMAE-da3-colab

This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3992
- Accuracy: 0.3696

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 120

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Accuracy |
|:-------------:|:--------:|:----:|:---------------:|:--------:|
| 1.3523        | 0.9778   | 22   | 1.4024          | 0.3261   |
| 1.3805        | 2.0      | 45   | 1.3775          | 0.2609   |
| 1.3221        | 2.9778   | 67   | 1.4419          | 0.3043   |
| 1.297         | 4.0      | 90   | 1.3582          | 0.3261   |
| 1.353         | 4.9778   | 112  | 1.3406          | 0.3478   |
| 1.2627        | 6.0      | 135  | 1.3824          | 0.1522   |
| 1.3006        | 6.9778   | 157  | 1.4008          | 0.1522   |
| 1.2438        | 8.0      | 180  | 1.3769          | 0.3261   |
| 1.222         | 8.9778   | 202  | 1.4212          | 0.3043   |
| 1.2221        | 10.0     | 225  | 1.4223          | 0.2391   |
| 1.2262        | 10.9778  | 247  | 1.4154          | 0.2609   |
| 1.2381        | 12.0     | 270  | 1.3327          | 0.2391   |
| 1.227         | 12.9778  | 292  | 1.2887          | 0.2826   |
| 1.2158        | 14.0     | 315  | 1.3465          | 0.2609   |
| 1.2174        | 14.9778  | 337  | 1.3476          | 0.3043   |
| 1.1767        | 16.0     | 360  | 1.4024          | 0.1957   |
| 1.2067        | 16.9778  | 382  | 1.3664          | 0.1739   |
| 1.2303        | 18.0     | 405  | 1.4260          | 0.2826   |
| 1.222         | 18.9778  | 427  | 1.4807          | 0.1739   |
| 1.2026        | 20.0     | 450  | 1.3851          | 0.1739   |
| 1.2185        | 20.9778  | 472  | 1.3214          | 0.2609   |
| 1.2773        | 22.0     | 495  | 1.4404          | 0.1957   |
| 1.227         | 22.9778  | 517  | 1.4535          | 0.2391   |
| 1.2032        | 24.0     | 540  | 1.3967          | 0.3043   |
| 1.2223        | 24.9778  | 562  | 1.4090          | 0.3261   |
| 1.2527        | 26.0     | 585  | 1.4858          | 0.2609   |
| 1.2203        | 26.9778  | 607  | 1.4366          | 0.1739   |
| 1.1993        | 28.0     | 630  | 1.4056          | 0.2609   |
| 1.2014        | 28.9778  | 652  | 1.3755          | 0.3043   |
| 1.2027        | 30.0     | 675  | 1.4579          | 0.2609   |
| 1.1961        | 30.9778  | 697  | 1.4524          | 0.2609   |
| 1.1939        | 32.0     | 720  | 1.4488          | 0.2391   |
| 1.1889        | 32.9778  | 742  | 1.4568          | 0.1522   |
| 1.1871        | 34.0     | 765  | 1.3814          | 0.3261   |
| 1.1778        | 34.9778  | 787  | 1.4403          | 0.1304   |
| 1.2404        | 36.0     | 810  | 1.4437          | 0.1957   |
| 1.197         | 36.9778  | 832  | 1.4765          | 0.2174   |
| 1.2161        | 38.0     | 855  | 1.3720          | 0.2391   |
| 1.221         | 38.9778  | 877  | 1.3750          | 0.3478   |
| 1.229         | 40.0     | 900  | 1.3405          | 0.2391   |
| 1.2046        | 40.9778  | 922  | 1.4231          | 0.2609   |
| 1.2077        | 42.0     | 945  | 1.4384          | 0.2391   |
| 1.1865        | 42.9778  | 967  | 1.4346          | 0.2609   |
| 1.1882        | 44.0     | 990  | 1.3679          | 0.2826   |
| 1.2528        | 44.9778  | 1012 | 1.3451          | 0.2174   |
| 1.1836        | 46.0     | 1035 | 1.4913          | 0.2391   |
| 1.2009        | 46.9778  | 1057 | 1.4841          | 0.3261   |
| 1.203         | 48.0     | 1080 | 1.4326          | 0.3043   |
| 1.1679        | 48.9778  | 1102 | 1.3935          | 0.3043   |
| 1.179         | 50.0     | 1125 | 1.4185          | 0.1957   |
| 1.1687        | 50.9778  | 1147 | 1.3686          | 0.2826   |
| 1.1779        | 52.0     | 1170 | 1.4319          | 0.1957   |
| 1.1566        | 52.9778  | 1192 | 1.3801          | 0.1957   |
| 1.192         | 54.0     | 1215 | 1.3746          | 0.2174   |
| 1.1803        | 54.9778  | 1237 | 1.4017          | 0.1957   |
| 1.194         | 56.0     | 1260 | 1.4288          | 0.1957   |
| 1.1486        | 56.9778  | 1282 | 1.3920          | 0.3043   |
| 1.1429        | 58.0     | 1305 | 1.4616          | 0.2391   |
| 1.1655        | 58.9778  | 1327 | 1.4119          | 0.2174   |
| 1.1697        | 60.0     | 1350 | 1.3812          | 0.2609   |
| 1.1898        | 60.9778  | 1372 | 1.4009          | 0.2391   |
| 1.1882        | 62.0     | 1395 | 1.4221          | 0.2391   |
| 1.134         | 62.9778  | 1417 | 1.6190          | 0.2609   |
| 1.1748        | 64.0     | 1440 | 1.4336          | 0.2391   |
| 1.1439        | 64.9778  | 1462 | 1.3744          | 0.1957   |
| 1.1585        | 66.0     | 1485 | 1.3992          | 0.3696   |
| 1.1344        | 66.9778  | 1507 | 1.3952          | 0.2391   |
| 1.1374        | 68.0     | 1530 | 1.3666          | 0.2174   |
| 1.1252        | 68.9778  | 1552 | 1.3705          | 0.2826   |
| 1.1339        | 70.0     | 1575 | 1.3983          | 0.2826   |
| 1.1344        | 70.9778  | 1597 | 1.3792          | 0.3043   |
| 1.1343        | 72.0     | 1620 | 1.4467          | 0.2826   |
| 1.1555        | 72.9778  | 1642 | 1.4823          | 0.2174   |
| 1.1329        | 74.0     | 1665 | 1.5136          | 0.1522   |
| 1.1513        | 74.9778  | 1687 | 1.4791          | 0.2391   |
| 1.1278        | 76.0     | 1710 | 1.4527          | 0.2609   |
| 1.0956        | 76.9778  | 1732 | 1.4840          | 0.2391   |
| 1.1131        | 78.0     | 1755 | 1.4900          | 0.2174   |
| 1.1376        | 78.9778  | 1777 | 1.5395          | 0.2174   |
| 1.0883        | 80.0     | 1800 | 1.5038          | 0.1957   |
| 1.1017        | 80.9778  | 1822 | 1.5392          | 0.1957   |
| 1.1608        | 82.0     | 1845 | 1.4875          | 0.2174   |
| 1.1308        | 82.9778  | 1867 | 1.5080          | 0.1957   |
| 1.1382        | 84.0     | 1890 | 1.4835          | 0.1739   |
| 1.1195        | 84.9778  | 1912 | 1.4076          | 0.1957   |
| 1.1149        | 86.0     | 1935 | 1.4840          | 0.1739   |
| 1.1344        | 86.9778  | 1957 | 1.4733          | 0.1957   |
| 1.1268        | 88.0     | 1980 | 1.4446          | 0.2391   |
| 1.1267        | 88.9778  | 2002 | 1.4360          | 0.2174   |
| 1.1034        | 90.0     | 2025 | 1.4329          | 0.1522   |
| 1.1113        | 90.9778  | 2047 | 1.4670          | 0.1739   |
| 1.0957        | 92.0     | 2070 | 1.4802          | 0.2391   |
| 1.1227        | 92.9778  | 2092 | 1.4715          | 0.1739   |
| 1.1083        | 94.0     | 2115 | 1.4813          | 0.1957   |
| 1.0583        | 94.9778  | 2137 | 1.5203          | 0.1957   |
| 1.093         | 96.0     | 2160 | 1.5394          | 0.1739   |
| 1.0809        | 96.9778  | 2182 | 1.4620          | 0.1739   |
| 1.0888        | 98.0     | 2205 | 1.4407          | 0.1739   |
| 1.1292        | 98.9778  | 2227 | 1.4578          | 0.1957   |
| 1.0754        | 100.0    | 2250 | 1.5031          | 0.1739   |
| 1.0817        | 100.9778 | 2272 | 1.4461          | 0.2174   |
| 1.0671        | 102.0    | 2295 | 1.4723          | 0.2391   |
| 1.0815        | 102.9778 | 2317 | 1.4989          | 0.1957   |
| 1.0967        | 104.0    | 2340 | 1.4654          | 0.2174   |
| 1.091         | 104.9778 | 2362 | 1.4559          | 0.2174   |
| 1.0895        | 106.0    | 2385 | 1.4221          | 0.2826   |
| 1.0847        | 106.9778 | 2407 | 1.4293          | 0.2826   |
| 1.102         | 108.0    | 2430 | 1.4582          | 0.2391   |
| 1.0404        | 108.9778 | 2452 | 1.4656          | 0.2174   |
| 1.0488        | 110.0    | 2475 | 1.4890          | 0.2174   |
| 1.0966        | 110.9778 | 2497 | 1.4632          | 0.2174   |
| 1.0901        | 112.0    | 2520 | 1.4495          | 0.2174   |
| 1.1008        | 112.9778 | 2542 | 1.4333          | 0.2174   |
| 1.0884        | 114.0    | 2565 | 1.4406          | 0.2174   |
| 1.0889        | 114.9778 | 2587 | 1.4474          | 0.2174   |
| 1.0729        | 116.0    | 2610 | 1.4561          | 0.2174   |
| 1.0671        | 116.9778 | 2632 | 1.4538          | 0.2174   |
| 1.0937        | 117.3333 | 2640 | 1.4532          | 0.2174   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3

avanzada leve moderada no dmae