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# hushem_5x_deit_tiny_sgd_00001_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: 1.6903
- Accuracy: 0.2222

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5766        | 1.0   | 27   | 1.7230          | 0.2222   |
| 1.5482        | 2.0   | 54   | 1.7214          | 0.2222   |
| 1.545         | 3.0   | 81   | 1.7199          | 0.2222   |
| 1.5461        | 4.0   | 108  | 1.7185          | 0.2222   |
| 1.5083        | 5.0   | 135  | 1.7171          | 0.2222   |
| 1.533         | 6.0   | 162  | 1.7157          | 0.2222   |
| 1.5321        | 7.0   | 189  | 1.7144          | 0.2222   |
| 1.5594        | 8.0   | 216  | 1.7131          | 0.2222   |
| 1.5064        | 9.0   | 243  | 1.7118          | 0.2222   |
| 1.4954        | 10.0  | 270  | 1.7106          | 0.2222   |
| 1.5489        | 11.0  | 297  | 1.7094          | 0.2222   |
| 1.5003        | 12.0  | 324  | 1.7083          | 0.2222   |
| 1.5049        | 13.0  | 351  | 1.7073          | 0.2222   |
| 1.5566        | 14.0  | 378  | 1.7062          | 0.2222   |
| 1.4974        | 15.0  | 405  | 1.7052          | 0.2222   |
| 1.4964        | 16.0  | 432  | 1.7043          | 0.2222   |
| 1.5261        | 17.0  | 459  | 1.7033          | 0.2222   |
| 1.4775        | 18.0  | 486  | 1.7024          | 0.2222   |
| 1.5065        | 19.0  | 513  | 1.7015          | 0.2222   |
| 1.4755        | 20.0  | 540  | 1.7007          | 0.2222   |
| 1.5258        | 21.0  | 567  | 1.6999          | 0.2222   |
| 1.5082        | 22.0  | 594  | 1.6991          | 0.2222   |
| 1.4959        | 23.0  | 621  | 1.6984          | 0.2222   |
| 1.4864        | 24.0  | 648  | 1.6977          | 0.2222   |
| 1.5154        | 25.0  | 675  | 1.6970          | 0.2222   |
| 1.4838        | 26.0  | 702  | 1.6964          | 0.2222   |
| 1.4873        | 27.0  | 729  | 1.6958          | 0.2222   |
| 1.5062        | 28.0  | 756  | 1.6952          | 0.2222   |
| 1.4886        | 29.0  | 783  | 1.6947          | 0.2222   |
| 1.497         | 30.0  | 810  | 1.6942          | 0.2222   |
| 1.498         | 31.0  | 837  | 1.6937          | 0.2222   |
| 1.4952        | 32.0  | 864  | 1.6933          | 0.2222   |
| 1.492         | 33.0  | 891  | 1.6929          | 0.2222   |
| 1.4832        | 34.0  | 918  | 1.6925          | 0.2222   |
| 1.5095        | 35.0  | 945  | 1.6922          | 0.2222   |
| 1.5164        | 36.0  | 972  | 1.6919          | 0.2222   |
| 1.5027        | 37.0  | 999  | 1.6916          | 0.2222   |
| 1.5132        | 38.0  | 1026 | 1.6913          | 0.2222   |
| 1.5138        | 39.0  | 1053 | 1.6911          | 0.2222   |
| 1.4995        | 40.0  | 1080 | 1.6909          | 0.2222   |
| 1.4924        | 41.0  | 1107 | 1.6908          | 0.2222   |
| 1.4936        | 42.0  | 1134 | 1.6906          | 0.2222   |
| 1.5293        | 43.0  | 1161 | 1.6905          | 0.2222   |
| 1.5068        | 44.0  | 1188 | 1.6904          | 0.2222   |
| 1.5134        | 45.0  | 1215 | 1.6904          | 0.2222   |
| 1.4849        | 46.0  | 1242 | 1.6903          | 0.2222   |
| 1.5093        | 47.0  | 1269 | 1.6903          | 0.2222   |
| 1.4852        | 48.0  | 1296 | 1.6903          | 0.2222   |
| 1.5207        | 49.0  | 1323 | 1.6903          | 0.2222   |
| 1.4563        | 50.0  | 1350 | 1.6903          | 0.2222   |


### 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