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# swin-tiny-patch4-window7-224-finetuned-woody_LeftGR_130epochs

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: 0.3377
- Accuracy: 0.9047

## 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: 130

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6614        | 1.0   | 61   | 0.6404          | 0.6521   |
| 0.5982        | 2.0   | 122  | 0.5548          | 0.7107   |
| 0.579         | 3.0   | 183  | 0.5390          | 0.7141   |
| 0.5621        | 4.0   | 244  | 0.4920          | 0.7623   |
| 0.5567        | 5.0   | 305  | 0.5375          | 0.7313   |
| 0.5271        | 6.0   | 366  | 0.5542          | 0.7405   |
| 0.5312        | 7.0   | 427  | 0.4573          | 0.7876   |
| 0.5477        | 8.0   | 488  | 0.4540          | 0.7784   |
| 0.5554        | 9.0   | 549  | 0.4932          | 0.7635   |
| 0.5247        | 10.0  | 610  | 0.4407          | 0.7968   |
| 0.5239        | 11.0  | 671  | 0.4479          | 0.7842   |
| 0.5294        | 12.0  | 732  | 0.4509          | 0.7910   |
| 0.531         | 13.0  | 793  | 0.4419          | 0.7933   |
| 0.5493        | 14.0  | 854  | 0.4646          | 0.7784   |
| 0.4934        | 15.0  | 915  | 0.4310          | 0.7968   |
| 0.4965        | 16.0  | 976  | 0.4449          | 0.7876   |
| 0.4946        | 17.0  | 1037 | 0.4342          | 0.8129   |
| 0.4716        | 18.0  | 1098 | 0.4129          | 0.8140   |
| 0.4679        | 19.0  | 1159 | 0.4290          | 0.8002   |
| 0.4799        | 20.0  | 1220 | 0.4356          | 0.7842   |
| 0.4744        | 21.0  | 1281 | 0.4042          | 0.8094   |
| 0.4512        | 22.0  | 1342 | 0.3953          | 0.8117   |
| 0.4633        | 23.0  | 1403 | 0.4157          | 0.7956   |
| 0.4528        | 24.0  | 1464 | 0.3920          | 0.8094   |
| 0.4427        | 25.0  | 1525 | 0.3930          | 0.8220   |
| 0.4238        | 26.0  | 1586 | 0.3891          | 0.8140   |
| 0.4257        | 27.0  | 1647 | 0.3700          | 0.8255   |
| 0.4102        | 28.0  | 1708 | 0.4122          | 0.7968   |
| 0.4505        | 29.0  | 1769 | 0.4210          | 0.7945   |
| 0.3973        | 30.0  | 1830 | 0.3923          | 0.8197   |
| 0.3824        | 31.0  | 1891 | 0.3908          | 0.8473   |
| 0.3887        | 32.0  | 1952 | 0.3897          | 0.8312   |
| 0.3723        | 33.0  | 2013 | 0.3747          | 0.8381   |
| 0.3608        | 34.0  | 2074 | 0.3706          | 0.8301   |
| 0.3718        | 35.0  | 2135 | 0.3937          | 0.8255   |
| 0.3692        | 36.0  | 2196 | 0.3984          | 0.8037   |
| 0.3533        | 37.0  | 2257 | 0.3792          | 0.8335   |
| 0.3625        | 38.0  | 2318 | 0.4070          | 0.8163   |
| 0.3633        | 39.0  | 2379 | 0.4130          | 0.8232   |
| 0.3602        | 40.0  | 2440 | 0.3996          | 0.8186   |
| 0.3557        | 41.0  | 2501 | 0.3756          | 0.8335   |
| 0.3373        | 42.0  | 2562 | 0.3914          | 0.8220   |
| 0.3102        | 43.0  | 2623 | 0.4165          | 0.8507   |
| 0.3135        | 44.0  | 2684 | 0.3852          | 0.8278   |
| 0.3286        | 45.0  | 2745 | 0.4164          | 0.8450   |
| 0.316         | 46.0  | 2806 | 0.3498          | 0.8496   |
| 0.2802        | 47.0  | 2867 | 0.3887          | 0.8462   |
| 0.3184        | 48.0  | 2928 | 0.3829          | 0.8576   |
| 0.2785        | 49.0  | 2989 | 0.3627          | 0.8485   |
| 0.2988        | 50.0  | 3050 | 0.3679          | 0.8370   |
| 0.267         | 51.0  | 3111 | 0.3528          | 0.8645   |
| 0.2907        | 52.0  | 3172 | 0.3538          | 0.8519   |
| 0.2857        | 53.0  | 3233 | 0.3593          | 0.8530   |
| 0.2651        | 54.0  | 3294 | 0.3732          | 0.8439   |
| 0.2447        | 55.0  | 3355 | 0.3441          | 0.8542   |
| 0.2542        | 56.0  | 3416 | 0.3897          | 0.8576   |
| 0.2634        | 57.0  | 3477 | 0.4082          | 0.8657   |
| 0.2505        | 58.0  | 3538 | 0.3416          | 0.8657   |
| 0.2555        | 59.0  | 3599 | 0.3725          | 0.8576   |
| 0.2466        | 60.0  | 3660 | 0.3496          | 0.8680   |
| 0.2585        | 61.0  | 3721 | 0.3214          | 0.8783   |
| 0.235         | 62.0  | 3782 | 0.3584          | 0.8737   |
| 0.215         | 63.0  | 3843 | 0.3467          | 0.8657   |
| 0.236         | 64.0  | 3904 | 0.3471          | 0.8829   |
| 0.2211        | 65.0  | 3965 | 0.3318          | 0.8863   |
| 0.1989        | 66.0  | 4026 | 0.3645          | 0.8852   |
| 0.2133        | 67.0  | 4087 | 0.3456          | 0.8898   |
| 0.2169        | 68.0  | 4148 | 0.3287          | 0.8852   |
| 0.223         | 69.0  | 4209 | 0.3182          | 0.8921   |
| 0.2379        | 70.0  | 4270 | 0.3260          | 0.8840   |
| 0.2149        | 71.0  | 4331 | 0.3230          | 0.8886   |
| 0.2007        | 72.0  | 4392 | 0.3926          | 0.8760   |
| 0.2091        | 73.0  | 4453 | 0.4133          | 0.8783   |
| 0.2229        | 74.0  | 4514 | 0.3867          | 0.8772   |
| 0.1903        | 75.0  | 4575 | 0.3594          | 0.8840   |
| 0.2124        | 76.0  | 4636 | 0.3388          | 0.8875   |
| 0.1999        | 77.0  | 4697 | 0.3305          | 0.8875   |
| 0.2053        | 78.0  | 4758 | 0.4670          | 0.8840   |
| 0.1958        | 79.0  | 4819 | 0.3468          | 0.8909   |
| 0.1839        | 80.0  | 4880 | 0.3902          | 0.8886   |
| 0.1715        | 81.0  | 4941 | 0.3830          | 0.8875   |
| 0.1803        | 82.0  | 5002 | 0.3134          | 0.8967   |
| 0.1803        | 83.0  | 5063 | 0.3935          | 0.8909   |
| 0.1865        | 84.0  | 5124 | 0.3882          | 0.8863   |
| 0.1884        | 85.0  | 5185 | 0.3485          | 0.8990   |
| 0.1663        | 86.0  | 5246 | 0.3667          | 0.8944   |
| 0.1665        | 87.0  | 5307 | 0.3545          | 0.8932   |
| 0.1556        | 88.0  | 5368 | 0.3882          | 0.8944   |
| 0.18          | 89.0  | 5429 | 0.3751          | 0.8898   |
| 0.1974        | 90.0  | 5490 | 0.3979          | 0.8863   |
| 0.1622        | 91.0  | 5551 | 0.3623          | 0.8967   |
| 0.1657        | 92.0  | 5612 | 0.3855          | 0.8978   |
| 0.1672        | 93.0  | 5673 | 0.3722          | 0.8944   |
| 0.1807        | 94.0  | 5734 | 0.3994          | 0.8932   |
| 0.1419        | 95.0  | 5795 | 0.4017          | 0.8863   |
| 0.178         | 96.0  | 5856 | 0.4168          | 0.8886   |
| 0.1402        | 97.0  | 5917 | 0.3727          | 0.8944   |
| 0.1427        | 98.0  | 5978 | 0.3919          | 0.8967   |
| 0.1318        | 99.0  | 6039 | 0.3843          | 0.8955   |
| 0.1417        | 100.0 | 6100 | 0.4017          | 0.8898   |
| 0.1536        | 101.0 | 6161 | 0.3613          | 0.8955   |
| 0.1631        | 102.0 | 6222 | 0.3377          | 0.9047   |
| 0.1459        | 103.0 | 6283 | 0.3724          | 0.8967   |
| 0.1499        | 104.0 | 6344 | 0.3934          | 0.8955   |
| 0.1572        | 105.0 | 6405 | 0.3368          | 0.8967   |
| 0.1308        | 106.0 | 6466 | 0.3782          | 0.8990   |
| 0.1535        | 107.0 | 6527 | 0.3306          | 0.9024   |
| 0.125         | 108.0 | 6588 | 0.4076          | 0.8898   |
| 0.1339        | 109.0 | 6649 | 0.3628          | 0.8990   |
| 0.148         | 110.0 | 6710 | 0.3672          | 0.9013   |
| 0.1725        | 111.0 | 6771 | 0.4006          | 0.8909   |
| 0.1326        | 112.0 | 6832 | 0.4117          | 0.8921   |
| 0.1438        | 113.0 | 6893 | 0.3927          | 0.8978   |
| 0.1205        | 114.0 | 6954 | 0.3612          | 0.8990   |
| 0.1531        | 115.0 | 7015 | 0.3594          | 0.8932   |
| 0.1473        | 116.0 | 7076 | 0.4490          | 0.8875   |
| 0.1388        | 117.0 | 7137 | 0.3952          | 0.8921   |
| 0.136         | 118.0 | 7198 | 0.4098          | 0.8921   |
| 0.1579        | 119.0 | 7259 | 0.3595          | 0.9013   |
| 0.1359        | 120.0 | 7320 | 0.3970          | 0.8944   |
| 0.1314        | 121.0 | 7381 | 0.4092          | 0.8932   |
| 0.1337        | 122.0 | 7442 | 0.4192          | 0.8909   |
| 0.1538        | 123.0 | 7503 | 0.4154          | 0.8898   |
| 0.119         | 124.0 | 7564 | 0.4120          | 0.8909   |
| 0.1353        | 125.0 | 7625 | 0.4060          | 0.8921   |
| 0.1489        | 126.0 | 7686 | 0.4162          | 0.8909   |
| 0.1554        | 127.0 | 7747 | 0.4148          | 0.8944   |
| 0.1558        | 128.0 | 7808 | 0.4169          | 0.8944   |
| 0.1268        | 129.0 | 7869 | 0.4110          | 0.8955   |
| 0.1236        | 130.0 | 7930 | 0.4197          | 0.8944   |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1

normal woody