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# hushem_5x_deit_tiny_sgd_0001_fold2

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5542
- Accuracy: 0.2

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5719        | 1.0   | 27   | 1.7092          | 0.2222   |
| 1.5311        | 2.0   | 54   | 1.6949          | 0.2222   |
| 1.5151        | 3.0   | 81   | 1.6819          | 0.2222   |
| 1.5077        | 4.0   | 108  | 1.6712          | 0.2222   |
| 1.4707        | 5.0   | 135  | 1.6610          | 0.2222   |
| 1.4799        | 6.0   | 162  | 1.6507          | 0.2222   |
| 1.4704        | 7.0   | 189  | 1.6424          | 0.2      |
| 1.4902        | 8.0   | 216  | 1.6346          | 0.1778   |
| 1.4446        | 9.0   | 243  | 1.6280          | 0.1778   |
| 1.4231        | 10.0  | 270  | 1.6212          | 0.1778   |
| 1.4616        | 11.0  | 297  | 1.6153          | 0.1778   |
| 1.4153        | 12.0  | 324  | 1.6101          | 0.2      |
| 1.4152        | 13.0  | 351  | 1.6055          | 0.2      |
| 1.4531        | 14.0  | 378  | 1.6010          | 0.2      |
| 1.3945        | 15.0  | 405  | 1.5968          | 0.2      |
| 1.3852        | 16.0  | 432  | 1.5928          | 0.2      |
| 1.4109        | 17.0  | 459  | 1.5893          | 0.2      |
| 1.3754        | 18.0  | 486  | 1.5859          | 0.2      |
| 1.385         | 19.0  | 513  | 1.5829          | 0.2222   |
| 1.3607        | 20.0  | 540  | 1.5802          | 0.2222   |
| 1.3947        | 21.0  | 567  | 1.5776          | 0.2222   |
| 1.3764        | 22.0  | 594  | 1.5751          | 0.2222   |
| 1.382         | 23.0  | 621  | 1.5731          | 0.2222   |
| 1.3634        | 24.0  | 648  | 1.5711          | 0.2222   |
| 1.3778        | 25.0  | 675  | 1.5692          | 0.2222   |
| 1.3529        | 26.0  | 702  | 1.5678          | 0.2222   |
| 1.3485        | 27.0  | 729  | 1.5662          | 0.2222   |
| 1.3484        | 28.0  | 756  | 1.5647          | 0.2222   |
| 1.3554        | 29.0  | 783  | 1.5635          | 0.2222   |
| 1.3405        | 30.0  | 810  | 1.5624          | 0.2222   |
| 1.3634        | 31.0  | 837  | 1.5613          | 0.2222   |
| 1.3616        | 32.0  | 864  | 1.5602          | 0.2222   |
| 1.3289        | 33.0  | 891  | 1.5595          | 0.2222   |
| 1.3193        | 34.0  | 918  | 1.5588          | 0.2      |
| 1.3621        | 35.0  | 945  | 1.5580          | 0.2      |
| 1.3672        | 36.0  | 972  | 1.5575          | 0.2      |
| 1.3338        | 37.0  | 999  | 1.5569          | 0.2      |
| 1.3491        | 38.0  | 1026 | 1.5563          | 0.2      |
| 1.3543        | 39.0  | 1053 | 1.5559          | 0.2      |
| 1.3395        | 40.0  | 1080 | 1.5555          | 0.2      |
| 1.3385        | 41.0  | 1107 | 1.5553          | 0.2      |
| 1.3225        | 42.0  | 1134 | 1.5550          | 0.2      |
| 1.3557        | 43.0  | 1161 | 1.5547          | 0.2      |
| 1.3413        | 44.0  | 1188 | 1.5546          | 0.2      |
| 1.3386        | 45.0  | 1215 | 1.5544          | 0.2      |
| 1.3204        | 46.0  | 1242 | 1.5543          | 0.2      |
| 1.335         | 47.0  | 1269 | 1.5543          | 0.2      |
| 1.3373        | 48.0  | 1296 | 1.5542          | 0.2      |
| 1.3715        | 49.0  | 1323 | 1.5542          | 0.2      |
| 1.2935        | 50.0  | 1350 | 1.5542          | 0.2      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

01_normal 02_tapered 03_pyriform 04_amorphous