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# hushem_1x_deit_tiny_sgd_lr0001_fold4

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: 1.4980
- Accuracy: 0.1667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.5601          | 0.1905   |
| 1.6045        | 2.0   | 12   | 1.5566          | 0.1905   |
| 1.6045        | 3.0   | 18   | 1.5532          | 0.1905   |
| 1.6142        | 4.0   | 24   | 1.5500          | 0.1905   |
| 1.6266        | 5.0   | 30   | 1.5471          | 0.1905   |
| 1.6266        | 6.0   | 36   | 1.5442          | 0.1905   |
| 1.6101        | 7.0   | 42   | 1.5414          | 0.1905   |
| 1.6101        | 8.0   | 48   | 1.5385          | 0.1905   |
| 1.6089        | 9.0   | 54   | 1.5358          | 0.1905   |
| 1.5908        | 10.0  | 60   | 1.5333          | 0.1905   |
| 1.5908        | 11.0  | 66   | 1.5308          | 0.1905   |
| 1.5657        | 12.0  | 72   | 1.5284          | 0.1905   |
| 1.5657        | 13.0  | 78   | 1.5261          | 0.1905   |
| 1.6049        | 14.0  | 84   | 1.5240          | 0.1905   |
| 1.5586        | 15.0  | 90   | 1.5222          | 0.1905   |
| 1.5586        | 16.0  | 96   | 1.5201          | 0.1905   |
| 1.5639        | 17.0  | 102  | 1.5182          | 0.1905   |
| 1.5639        | 18.0  | 108  | 1.5166          | 0.1905   |
| 1.5536        | 19.0  | 114  | 1.5151          | 0.1905   |
| 1.5821        | 20.0  | 120  | 1.5136          | 0.1905   |
| 1.5821        | 21.0  | 126  | 1.5122          | 0.1905   |
| 1.5341        | 22.0  | 132  | 1.5109          | 0.1905   |
| 1.5341        | 23.0  | 138  | 1.5096          | 0.1905   |
| 1.6078        | 24.0  | 144  | 1.5084          | 0.1905   |
| 1.5121        | 25.0  | 150  | 1.5073          | 0.1905   |
| 1.5121        | 26.0  | 156  | 1.5061          | 0.1905   |
| 1.5521        | 27.0  | 162  | 1.5050          | 0.1905   |
| 1.5521        | 28.0  | 168  | 1.5041          | 0.1905   |
| 1.5505        | 29.0  | 174  | 1.5033          | 0.1905   |
| 1.5712        | 30.0  | 180  | 1.5025          | 0.1905   |
| 1.5712        | 31.0  | 186  | 1.5017          | 0.1905   |
| 1.5865        | 32.0  | 192  | 1.5010          | 0.1905   |
| 1.5865        | 33.0  | 198  | 1.5005          | 0.1905   |
| 1.4766        | 34.0  | 204  | 1.4999          | 0.1905   |
| 1.5501        | 35.0  | 210  | 1.4994          | 0.1905   |
| 1.5501        | 36.0  | 216  | 1.4990          | 0.1905   |
| 1.5465        | 37.0  | 222  | 1.4987          | 0.1667   |
| 1.5465        | 38.0  | 228  | 1.4984          | 0.1667   |
| 1.5254        | 39.0  | 234  | 1.4982          | 0.1667   |
| 1.575         | 40.0  | 240  | 1.4980          | 0.1667   |
| 1.575         | 41.0  | 246  | 1.4980          | 0.1667   |
| 1.5455        | 42.0  | 252  | 1.4980          | 0.1667   |
| 1.5455        | 43.0  | 258  | 1.4980          | 0.1667   |
| 1.5648        | 44.0  | 264  | 1.4980          | 0.1667   |
| 1.5279        | 45.0  | 270  | 1.4980          | 0.1667   |
| 1.5279        | 46.0  | 276  | 1.4980          | 0.1667   |
| 1.5492        | 47.0  | 282  | 1.4980          | 0.1667   |
| 1.5492        | 48.0  | 288  | 1.4980          | 0.1667   |
| 1.5479        | 49.0  | 294  | 1.4980          | 0.1667   |
| 1.5321        | 50.0  | 300  | 1.4980          | 0.1667   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

01_normal 02_tapered 03_pyriform 04_amorphous