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# hushem_1x_deit_small_sgd_00001_fold4

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: 1.4772
- Accuracy: 0.2857

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.4838          | 0.2619   |
| 1.5238        | 2.0   | 12   | 1.4835          | 0.2619   |
| 1.5238        | 3.0   | 18   | 1.4831          | 0.2619   |
| 1.5534        | 4.0   | 24   | 1.4828          | 0.2619   |
| 1.5381        | 5.0   | 30   | 1.4825          | 0.2619   |
| 1.5381        | 6.0   | 36   | 1.4822          | 0.2619   |
| 1.5402        | 7.0   | 42   | 1.4819          | 0.2619   |
| 1.5402        | 8.0   | 48   | 1.4816          | 0.2619   |
| 1.5343        | 9.0   | 54   | 1.4813          | 0.2619   |
| 1.5296        | 10.0  | 60   | 1.4811          | 0.2619   |
| 1.5296        | 11.0  | 66   | 1.4808          | 0.2619   |
| 1.5185        | 12.0  | 72   | 1.4805          | 0.2619   |
| 1.5185        | 13.0  | 78   | 1.4803          | 0.2619   |
| 1.5511        | 14.0  | 84   | 1.4801          | 0.2619   |
| 1.5137        | 15.0  | 90   | 1.4798          | 0.2619   |
| 1.5137        | 16.0  | 96   | 1.4796          | 0.2619   |
| 1.5299        | 17.0  | 102  | 1.4794          | 0.2619   |
| 1.5299        | 18.0  | 108  | 1.4792          | 0.2857   |
| 1.4899        | 19.0  | 114  | 1.4790          | 0.2857   |
| 1.5822        | 20.0  | 120  | 1.4789          | 0.2857   |
| 1.5822        | 21.0  | 126  | 1.4787          | 0.2857   |
| 1.5002        | 22.0  | 132  | 1.4786          | 0.2857   |
| 1.5002        | 23.0  | 138  | 1.4784          | 0.2857   |
| 1.5297        | 24.0  | 144  | 1.4783          | 0.2857   |
| 1.5406        | 25.0  | 150  | 1.4781          | 0.2857   |
| 1.5406        | 26.0  | 156  | 1.4780          | 0.2857   |
| 1.5241        | 27.0  | 162  | 1.4779          | 0.2857   |
| 1.5241        | 28.0  | 168  | 1.4778          | 0.2857   |
| 1.5379        | 29.0  | 174  | 1.4777          | 0.2857   |
| 1.5253        | 30.0  | 180  | 1.4776          | 0.2857   |
| 1.5253        | 31.0  | 186  | 1.4775          | 0.2857   |
| 1.549         | 32.0  | 192  | 1.4775          | 0.2857   |
| 1.549         | 33.0  | 198  | 1.4774          | 0.2857   |
| 1.5016        | 34.0  | 204  | 1.4774          | 0.2857   |
| 1.4996        | 35.0  | 210  | 1.4773          | 0.2857   |
| 1.4996        | 36.0  | 216  | 1.4773          | 0.2857   |
| 1.533         | 37.0  | 222  | 1.4772          | 0.2857   |
| 1.533         | 38.0  | 228  | 1.4772          | 0.2857   |
| 1.5136        | 39.0  | 234  | 1.4772          | 0.2857   |
| 1.5288        | 40.0  | 240  | 1.4772          | 0.2857   |
| 1.5288        | 41.0  | 246  | 1.4772          | 0.2857   |
| 1.5195        | 42.0  | 252  | 1.4772          | 0.2857   |
| 1.5195        | 43.0  | 258  | 1.4772          | 0.2857   |
| 1.5432        | 44.0  | 264  | 1.4772          | 0.2857   |
| 1.5238        | 45.0  | 270  | 1.4772          | 0.2857   |
| 1.5238        | 46.0  | 276  | 1.4772          | 0.2857   |
| 1.544         | 47.0  | 282  | 1.4772          | 0.2857   |
| 1.544         | 48.0  | 288  | 1.4772          | 0.2857   |
| 1.5337        | 49.0  | 294  | 1.4772          | 0.2857   |
| 1.5345        | 50.0  | 300  | 1.4772          | 0.2857   |


### 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