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# hushem_5x_deit_tiny_sgd_00001_fold1

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: 1.6463
- Accuracy: 0.2889

## 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: 1e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5609        | 1.0   | 27   | 1.6799          | 0.2667   |
| 1.5496        | 2.0   | 54   | 1.6782          | 0.2667   |
| 1.5787        | 3.0   | 81   | 1.6767          | 0.2667   |
| 1.5647        | 4.0   | 108  | 1.6752          | 0.2667   |
| 1.5195        | 5.0   | 135  | 1.6738          | 0.2667   |
| 1.5668        | 6.0   | 162  | 1.6723          | 0.2667   |
| 1.5392        | 7.0   | 189  | 1.6709          | 0.2667   |
| 1.5582        | 8.0   | 216  | 1.6695          | 0.2667   |
| 1.5313        | 9.0   | 243  | 1.6682          | 0.2667   |
| 1.5128        | 10.0  | 270  | 1.6669          | 0.2667   |
| 1.5483        | 11.0  | 297  | 1.6658          | 0.2667   |
| 1.4916        | 12.0  | 324  | 1.6646          | 0.2667   |
| 1.5319        | 13.0  | 351  | 1.6635          | 0.2667   |
| 1.5642        | 14.0  | 378  | 1.6625          | 0.2667   |
| 1.5157        | 15.0  | 405  | 1.6614          | 0.2667   |
| 1.5547        | 16.0  | 432  | 1.6604          | 0.2667   |
| 1.561         | 17.0  | 459  | 1.6595          | 0.2667   |
| 1.5198        | 18.0  | 486  | 1.6585          | 0.2667   |
| 1.5162        | 19.0  | 513  | 1.6577          | 0.2667   |
| 1.501         | 20.0  | 540  | 1.6568          | 0.2667   |
| 1.536         | 21.0  | 567  | 1.6560          | 0.2667   |
| 1.5261        | 22.0  | 594  | 1.6552          | 0.2667   |
| 1.5076        | 23.0  | 621  | 1.6545          | 0.2667   |
| 1.5241        | 24.0  | 648  | 1.6538          | 0.2667   |
| 1.519         | 25.0  | 675  | 1.6531          | 0.2667   |
| 1.5215        | 26.0  | 702  | 1.6525          | 0.2667   |
| 1.4834        | 27.0  | 729  | 1.6518          | 0.2667   |
| 1.52          | 28.0  | 756  | 1.6513          | 0.2667   |
| 1.5201        | 29.0  | 783  | 1.6507          | 0.2667   |
| 1.5274        | 30.0  | 810  | 1.6502          | 0.2667   |
| 1.5272        | 31.0  | 837  | 1.6498          | 0.2667   |
| 1.5239        | 32.0  | 864  | 1.6493          | 0.2667   |
| 1.4813        | 33.0  | 891  | 1.6489          | 0.2667   |
| 1.5127        | 34.0  | 918  | 1.6485          | 0.2889   |
| 1.5315        | 35.0  | 945  | 1.6482          | 0.2889   |
| 1.4986        | 36.0  | 972  | 1.6479          | 0.2889   |
| 1.5458        | 37.0  | 999  | 1.6476          | 0.2889   |
| 1.5577        | 38.0  | 1026 | 1.6473          | 0.2889   |
| 1.5374        | 39.0  | 1053 | 1.6471          | 0.2889   |
| 1.4671        | 40.0  | 1080 | 1.6469          | 0.2889   |
| 1.5237        | 41.0  | 1107 | 1.6467          | 0.2889   |
| 1.4934        | 42.0  | 1134 | 1.6466          | 0.2889   |
| 1.5479        | 43.0  | 1161 | 1.6465          | 0.2889   |
| 1.5299        | 44.0  | 1188 | 1.6464          | 0.2889   |
| 1.5139        | 45.0  | 1215 | 1.6463          | 0.2889   |
| 1.4949        | 46.0  | 1242 | 1.6463          | 0.2889   |
| 1.5114        | 47.0  | 1269 | 1.6463          | 0.2889   |
| 1.5095        | 48.0  | 1296 | 1.6463          | 0.2889   |
| 1.514         | 49.0  | 1323 | 1.6463          | 0.2889   |
| 1.4915        | 50.0  | 1350 | 1.6463          | 0.2889   |


### 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