
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# hushem_1x_deit_small_sgd_00001_fold3

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: 1.5939
- Accuracy: 0.1860

## 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    | 1.6009          | 0.1860   |
| 1.5096        | 2.0   | 12   | 1.6005          | 0.1860   |
| 1.5096        | 3.0   | 18   | 1.6002          | 0.1860   |
| 1.4896        | 4.0   | 24   | 1.5998          | 0.1860   |
| 1.4946        | 5.0   | 30   | 1.5995          | 0.1860   |
| 1.4946        | 6.0   | 36   | 1.5992          | 0.1860   |
| 1.508         | 7.0   | 42   | 1.5988          | 0.1860   |
| 1.508         | 8.0   | 48   | 1.5986          | 0.1860   |
| 1.4945        | 9.0   | 54   | 1.5983          | 0.1860   |
| 1.5205        | 10.0  | 60   | 1.5980          | 0.1860   |
| 1.5205        | 11.0  | 66   | 1.5977          | 0.1860   |
| 1.5058        | 12.0  | 72   | 1.5975          | 0.1860   |
| 1.5058        | 13.0  | 78   | 1.5972          | 0.1860   |
| 1.5082        | 14.0  | 84   | 1.5970          | 0.1860   |
| 1.502         | 15.0  | 90   | 1.5967          | 0.1860   |
| 1.502         | 16.0  | 96   | 1.5965          | 0.1860   |
| 1.5281        | 17.0  | 102  | 1.5963          | 0.1860   |
| 1.5281        | 18.0  | 108  | 1.5961          | 0.1860   |
| 1.4713        | 19.0  | 114  | 1.5959          | 0.1860   |
| 1.5067        | 20.0  | 120  | 1.5957          | 0.1860   |
| 1.5067        | 21.0  | 126  | 1.5955          | 0.1860   |
| 1.5046        | 22.0  | 132  | 1.5953          | 0.1860   |
| 1.5046        | 23.0  | 138  | 1.5952          | 0.1860   |
| 1.4884        | 24.0  | 144  | 1.5950          | 0.1860   |
| 1.4923        | 25.0  | 150  | 1.5949          | 0.1860   |
| 1.4923        | 26.0  | 156  | 1.5948          | 0.1860   |
| 1.4973        | 27.0  | 162  | 1.5947          | 0.1860   |
| 1.4973        | 28.0  | 168  | 1.5945          | 0.1860   |
| 1.5002        | 29.0  | 174  | 1.5945          | 0.1860   |
| 1.4807        | 30.0  | 180  | 1.5944          | 0.1860   |
| 1.4807        | 31.0  | 186  | 1.5943          | 0.1860   |
| 1.486         | 32.0  | 192  | 1.5942          | 0.1860   |
| 1.486         | 33.0  | 198  | 1.5941          | 0.1860   |
| 1.4927        | 34.0  | 204  | 1.5941          | 0.1860   |
| 1.4875        | 35.0  | 210  | 1.5940          | 0.1860   |
| 1.4875        | 36.0  | 216  | 1.5940          | 0.1860   |
| 1.5166        | 37.0  | 222  | 1.5940          | 0.1860   |
| 1.5166        | 38.0  | 228  | 1.5939          | 0.1860   |
| 1.5127        | 39.0  | 234  | 1.5939          | 0.1860   |
| 1.4974        | 40.0  | 240  | 1.5939          | 0.1860   |
| 1.4974        | 41.0  | 246  | 1.5939          | 0.1860   |
| 1.4716        | 42.0  | 252  | 1.5939          | 0.1860   |
| 1.4716        | 43.0  | 258  | 1.5939          | 0.1860   |
| 1.5277        | 44.0  | 264  | 1.5939          | 0.1860   |
| 1.501         | 45.0  | 270  | 1.5939          | 0.1860   |
| 1.501         | 46.0  | 276  | 1.5939          | 0.1860   |
| 1.4805        | 47.0  | 282  | 1.5939          | 0.1860   |
| 1.4805        | 48.0  | 288  | 1.5939          | 0.1860   |
| 1.5052        | 49.0  | 294  | 1.5939          | 0.1860   |
| 1.536         | 50.0  | 300  | 1.5939          | 0.1860   |


### 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