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# hushem_1x_deit_small_sgd_0001_fold1

This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4520
- Accuracy: 0.2667

## 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    | 1.5076          | 0.2889   |
| 1.5379        | 2.0   | 12   | 1.5042          | 0.2889   |
| 1.5379        | 3.0   | 18   | 1.5010          | 0.2889   |
| 1.5099        | 4.0   | 24   | 1.4983          | 0.2889   |
| 1.521         | 5.0   | 30   | 1.4955          | 0.2889   |
| 1.521         | 6.0   | 36   | 1.4929          | 0.2889   |
| 1.4972        | 7.0   | 42   | 1.4902          | 0.2889   |
| 1.4972        | 8.0   | 48   | 1.4879          | 0.2889   |
| 1.5152        | 9.0   | 54   | 1.4855          | 0.2889   |
| 1.4839        | 10.0  | 60   | 1.4831          | 0.2889   |
| 1.4839        | 11.0  | 66   | 1.4810          | 0.2889   |
| 1.478         | 12.0  | 72   | 1.4788          | 0.2889   |
| 1.478         | 13.0  | 78   | 1.4768          | 0.2889   |
| 1.4972        | 14.0  | 84   | 1.4749          | 0.2889   |
| 1.4822        | 15.0  | 90   | 1.4732          | 0.2889   |
| 1.4822        | 16.0  | 96   | 1.4714          | 0.2889   |
| 1.4784        | 17.0  | 102  | 1.4698          | 0.2889   |
| 1.4784        | 18.0  | 108  | 1.4684          | 0.2889   |
| 1.4862        | 19.0  | 114  | 1.4671          | 0.2889   |
| 1.4536        | 20.0  | 120  | 1.4657          | 0.2889   |
| 1.4536        | 21.0  | 126  | 1.4645          | 0.2889   |
| 1.4751        | 22.0  | 132  | 1.4634          | 0.2889   |
| 1.4751        | 23.0  | 138  | 1.4621          | 0.2889   |
| 1.4645        | 24.0  | 144  | 1.4610          | 0.2889   |
| 1.4518        | 25.0  | 150  | 1.4602          | 0.2889   |
| 1.4518        | 26.0  | 156  | 1.4592          | 0.2889   |
| 1.4648        | 27.0  | 162  | 1.4583          | 0.2889   |
| 1.4648        | 28.0  | 168  | 1.4575          | 0.2667   |
| 1.47          | 29.0  | 174  | 1.4568          | 0.2667   |
| 1.4692        | 30.0  | 180  | 1.4560          | 0.2667   |
| 1.4692        | 31.0  | 186  | 1.4553          | 0.2667   |
| 1.4701        | 32.0  | 192  | 1.4547          | 0.2667   |
| 1.4701        | 33.0  | 198  | 1.4541          | 0.2667   |
| 1.4745        | 34.0  | 204  | 1.4536          | 0.2667   |
| 1.4582        | 35.0  | 210  | 1.4532          | 0.2667   |
| 1.4582        | 36.0  | 216  | 1.4528          | 0.2667   |
| 1.4443        | 37.0  | 222  | 1.4526          | 0.2667   |
| 1.4443        | 38.0  | 228  | 1.4523          | 0.2667   |
| 1.44          | 39.0  | 234  | 1.4522          | 0.2667   |
| 1.4727        | 40.0  | 240  | 1.4521          | 0.2667   |
| 1.4727        | 41.0  | 246  | 1.4520          | 0.2667   |
| 1.4651        | 42.0  | 252  | 1.4520          | 0.2667   |
| 1.4651        | 43.0  | 258  | 1.4520          | 0.2667   |
| 1.4764        | 44.0  | 264  | 1.4520          | 0.2667   |
| 1.4313        | 45.0  | 270  | 1.4520          | 0.2667   |
| 1.4313        | 46.0  | 276  | 1.4520          | 0.2667   |
| 1.4565        | 47.0  | 282  | 1.4520          | 0.2667   |
| 1.4565        | 48.0  | 288  | 1.4520          | 0.2667   |
| 1.4277        | 49.0  | 294  | 1.4520          | 0.2667   |
| 1.4569        | 50.0  | 300  | 1.4520          | 0.2667   |


### 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