
<!-- 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_001_fold2

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: 1.3470
- Accuracy: 0.3556

## 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: 0.001
- 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    | 1.4885          | 0.2      |
| 1.5055        | 2.0   | 12   | 1.4667          | 0.2667   |
| 1.5055        | 3.0   | 18   | 1.4496          | 0.2444   |
| 1.4394        | 4.0   | 24   | 1.4374          | 0.2444   |
| 1.4154        | 5.0   | 30   | 1.4269          | 0.2444   |
| 1.4154        | 6.0   | 36   | 1.4185          | 0.2667   |
| 1.3643        | 7.0   | 42   | 1.4107          | 0.3333   |
| 1.3643        | 8.0   | 48   | 1.4053          | 0.3556   |
| 1.3559        | 9.0   | 54   | 1.4001          | 0.3556   |
| 1.3227        | 10.0  | 60   | 1.3952          | 0.3556   |
| 1.3227        | 11.0  | 66   | 1.3910          | 0.3556   |
| 1.3197        | 12.0  | 72   | 1.3872          | 0.3556   |
| 1.3197        | 13.0  | 78   | 1.3837          | 0.3556   |
| 1.2846        | 14.0  | 84   | 1.3804          | 0.3556   |
| 1.2901        | 15.0  | 90   | 1.3773          | 0.3556   |
| 1.2901        | 16.0  | 96   | 1.3743          | 0.3333   |
| 1.2643        | 17.0  | 102  | 1.3716          | 0.3333   |
| 1.2643        | 18.0  | 108  | 1.3691          | 0.3333   |
| 1.2844        | 19.0  | 114  | 1.3667          | 0.3333   |
| 1.2293        | 20.0  | 120  | 1.3643          | 0.3333   |
| 1.2293        | 21.0  | 126  | 1.3623          | 0.3333   |
| 1.2404        | 22.0  | 132  | 1.3607          | 0.3333   |
| 1.2404        | 23.0  | 138  | 1.3587          | 0.3333   |
| 1.2359        | 24.0  | 144  | 1.3573          | 0.3333   |
| 1.2062        | 25.0  | 150  | 1.3561          | 0.3333   |
| 1.2062        | 26.0  | 156  | 1.3548          | 0.3333   |
| 1.2199        | 27.0  | 162  | 1.3536          | 0.3333   |
| 1.2199        | 28.0  | 168  | 1.3527          | 0.3333   |
| 1.2151        | 29.0  | 174  | 1.3520          | 0.3556   |
| 1.2005        | 30.0  | 180  | 1.3511          | 0.3556   |
| 1.2005        | 31.0  | 186  | 1.3504          | 0.3556   |
| 1.1928        | 32.0  | 192  | 1.3498          | 0.3556   |
| 1.1928        | 33.0  | 198  | 1.3492          | 0.3556   |
| 1.1891        | 34.0  | 204  | 1.3487          | 0.3556   |
| 1.1974        | 35.0  | 210  | 1.3482          | 0.3556   |
| 1.1974        | 36.0  | 216  | 1.3478          | 0.3556   |
| 1.1657        | 37.0  | 222  | 1.3476          | 0.3556   |
| 1.1657        | 38.0  | 228  | 1.3474          | 0.3556   |
| 1.1722        | 39.0  | 234  | 1.3472          | 0.3556   |
| 1.2031        | 40.0  | 240  | 1.3471          | 0.3556   |
| 1.2031        | 41.0  | 246  | 1.3470          | 0.3556   |
| 1.1899        | 42.0  | 252  | 1.3470          | 0.3556   |
| 1.1899        | 43.0  | 258  | 1.3470          | 0.3556   |
| 1.1761        | 44.0  | 264  | 1.3470          | 0.3556   |
| 1.1715        | 45.0  | 270  | 1.3470          | 0.3556   |
| 1.1715        | 46.0  | 276  | 1.3470          | 0.3556   |
| 1.1816        | 47.0  | 282  | 1.3470          | 0.3556   |
| 1.1816        | 48.0  | 288  | 1.3470          | 0.3556   |
| 1.1504        | 49.0  | 294  | 1.3470          | 0.3556   |
| 1.1896        | 50.0  | 300  | 1.3470          | 0.3556   |


### 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