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# cards-top_left_swin-tiny-patch4-window7-224-finetuned-dough_100_epoch

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: 1.0369
- Accuracy: 0.5816

## 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: 100

### Training results

| Training Loss | Epoch | Step   | Accuracy | Validation Loss |
|:-------------:|:-----:|:------:|:--------:|:---------------:|
| 1.2196        | 1.0   | 1240   | 0.5816   | 1.0369          |
| 1.2491        | 2.0   | 2481   | 0.5752   | 1.0638          |
| 1.2016        | 3.0   | 3721   | 0.5792   | 1.0546          |
| 1.2234        | 4.0   | 4962   | 0.5810   | 1.0560          |
| 1.2298        | 5.0   | 6202   | 0.5725   | 1.0795          |
| 1.287         | 6.0   | 7443   | 0.5731   | 1.0763          |
| 1.2472        | 7.0   | 8683   | 0.5635   | 1.1067          |
| 1.2171        | 8.0   | 9924   | 0.5775   | 1.0671          |
| 1.3164        | 9.0   | 11164  | 0.5701   | 1.0681          |
| 1.3019        | 10.0  | 12405  | 0.5698   | 1.0824          |
| 1.2977        | 11.0  | 13645  | 0.5694   | 1.0721          |
| 1.2587        | 12.0  | 14886  | 0.5704   | 1.0833          |
| 1.2704        | 13.0  | 16126  | 0.5675   | 1.0934          |
| 1.2604        | 14.0  | 17367  | 0.5730   | 1.0739          |
| 1.2834        | 15.0  | 18607  | 0.5524   | 1.1210          |
| 1.2082        | 16.0  | 19848  | 0.5611   | 1.1271          |
| 1.2307        | 17.0  | 21088  | 0.5720   | 1.1013          |
| 1.2136        | 18.0  | 22329  | 0.5753   | 1.1036          |
| 1.2133        | 19.0  | 23569  | 0.5610   | 1.1350          |
| 1.2478        | 20.0  | 24810  | 0.5676   | 1.1256          |
| 1.2006        | 21.0  | 26050  | 0.5682   | 1.1288          |
| 1.1934        | 22.0  | 27291  | 0.5619   | 1.1472          |
| 1.2136        | 23.0  | 28531  | 0.5713   | 1.1304          |
| 1.2449        | 24.0  | 29772  | 0.5581   | 1.1893          |
| 1.1968        | 25.0  | 31012  | 0.5633   | 1.1754          |
| 1.1582        | 26.0  | 32253  | 0.5651   | 1.1735          |
| 1.1404        | 27.0  | 33493  | 0.5642   | 1.1752          |
| 1.2011        | 28.0  | 34734  | 0.5538   | 1.2227          |
| 1.1223        | 29.0  | 35974  | 0.5578   | 1.2200          |
| 1.1427        | 30.0  | 37215  | 0.5608   | 1.2028          |
| 1.1751        | 31.0  | 38455  | 0.5635   | 1.2253          |
| 1.1012        | 32.0  | 39696  | 0.5543   | 1.2473          |
| 1.0912        | 33.0  | 40936  | 0.5673   | 1.2370          |
| 1.1085        | 34.0  | 42177  | 0.5534   | 1.2838          |
| 1.099         | 35.0  | 43417  | 0.5526   | 1.2760          |
| 1.1092        | 36.0  | 44658  | 0.5547   | 1.2769          |
| 1.0655        | 37.0  | 45898  | 0.5534   | 1.3178          |
| 1.0861        | 38.0  | 47139  | 0.5585   | 1.2943          |
| 1.0917        | 39.0  | 48379  | 0.5518   | 1.3659          |
| 1.0791        | 40.0  | 49620  | 0.5541   | 1.3413          |
| 1.0356        | 41.0  | 50860  | 0.5495   | 1.3567          |
| 1.0394        | 42.0  | 52101  | 0.5491   | 1.3648          |
| 1.0096        | 43.0  | 53341  | 0.5574   | 1.3671          |
| 1.0736        | 44.0  | 54582  | 0.5468   | 1.4142          |
| 1.0145        | 45.0  | 55822  | 0.5462   | 1.4340          |
| 1.0437        | 46.0  | 57063  | 0.5442   | 1.4734          |
| 0.9771        | 47.0  | 58303  | 0.5446   | 1.4496          |
| 0.9758        | 48.0  | 59544  | 0.5397   | 1.5071          |
| 1.0199        | 49.0  | 60784  | 0.5437   | 1.5119          |
| 0.9898        | 50.0  | 62025  | 0.5428   | 1.5066          |
| 1.0139        | 51.0  | 63265  | 0.5375   | 1.5314          |
| 1.0035        | 52.0  | 64506  | 0.5427   | 1.5604          |
| 0.9786        | 53.0  | 65746  | 0.5396   | 1.5899          |
| 0.9768        | 54.0  | 66987  | 0.5449   | 1.5642          |
| 0.968         | 55.0  | 68227  | 0.5394   | 1.6056          |
| 0.9254        | 56.0  | 69468  | 0.5380   | 1.6091          |
| 0.9764        | 57.0  | 70680  | 0.5340   | 1.6646          |
| 0.8998        | 58.0  | 71921  | 0.5323   | 1.6692          |
| 0.9592        | 59.0  | 73161  | 0.5353   | 1.6395          |
| 0.8722        | 60.0  | 74402  | 0.5393   | 1.6702          |
| 0.888         | 61.0  | 75642  | 0.5336   | 1.6771          |
| 0.872         | 62.0  | 76883  | 0.5331   | 1.6873          |
| 0.9133        | 63.0  | 78123  | 0.5325   | 1.7182          |
| 0.8815        | 64.0  | 79364  | 0.5310   | 1.7375          |
| 0.9144        | 65.0  | 80604  | 0.5337   | 1.7263          |
| 0.8712        | 66.0  | 81845  | 0.5284   | 1.7628          |
| 0.8576        | 67.0  | 83080  | 1.7786   | 0.5322          |
| 0.8677        | 68.0  | 84321  | 1.7947   | 0.5327          |
| 0.8448        | 69.0  | 85561  | 1.8100   | 0.5314          |
| 0.8102        | 70.0  | 86802  | 1.8256   | 0.5313          |
| 0.8438        | 71.0  | 88042  | 1.8325   | 0.5273          |
| 0.8015        | 72.0  | 89283  | 1.8564   | 0.5311          |
| 0.8025        | 73.0  | 90523  | 1.8451   | 0.5342          |
| 0.8295        | 74.0  | 91764  | 1.8748   | 0.5305          |
| 0.8101        | 75.0  | 93004  | 1.8884   | 0.5297          |
| 0.7883        | 76.0  | 94245  | 1.8777   | 0.5297          |
| 0.7989        | 77.0  | 95485  | 1.9185   | 0.5262          |
| 0.7791        | 78.0  | 96726  | 1.9436   | 0.5246          |
| 0.7197        | 79.0  | 97966  | 1.9615   | 0.5222          |
| 0.7639        | 80.0  | 99207  | 1.9567   | 0.5213          |
| 0.7922        | 81.0  | 100447 | 1.9746   | 0.5248          |
| 0.7874        | 82.0  | 101688 | 1.9960   | 0.5206          |
| 0.8155        | 83.0  | 102928 | 2.0131   | 0.5211          |
| 0.7791        | 84.0  | 104169 | 2.0559   | 0.5196          |
| 0.7731        | 85.0  | 105409 | 2.0255   | 0.5192          |
| 0.8018        | 86.0  | 106650 | 2.0784   | 0.5216          |
| 0.777         | 87.0  | 107890 | 2.0482   | 0.5224          |
| 0.7637        | 88.0  | 109131 | 2.0889   | 0.5201          |
| 0.7783        | 89.0  | 110371 | 2.0663   | 0.5222          |
| 0.7156        | 90.0  | 111612 | 2.0884   | 0.5200          |
| 0.702         | 91.0  | 112852 | 2.1034   | 0.5215          |
| 0.7136        | 92.0  | 114093 | 2.1380   | 0.5164          |
| 0.6889        | 93.0  | 115333 | 2.1321   | 0.5198          |
| 0.7117        | 94.0  | 116574 | 2.1175   | 0.5186          |
| 0.6903        | 95.0  | 117814 | 2.1155   | 0.5187          |
| 0.7334        | 96.0  | 119055 | 2.1197   | 0.5200          |
| 0.6684        | 97.0  | 120295 | 2.1435   | 0.5192          |
| 0.7471        | 98.0  | 121536 | 2.1403   | 0.5196          |
| 0.7197        | 99.0  | 122776 | 2.1465   | 0.5182          |
| 0.7026        | 99.99 | 124000 | 2.1492   | 0.5186          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2

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