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# hushem_1x_deit_tiny_sgd_lr001_fold2

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: 1.4182
- 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    | 1.6125          | 0.1333   |
| 1.5852        | 2.0   | 12   | 1.5871          | 0.1333   |
| 1.5852        | 3.0   | 18   | 1.5653          | 0.1556   |
| 1.5028        | 4.0   | 24   | 1.5474          | 0.1556   |
| 1.4795        | 5.0   | 30   | 1.5322          | 0.1556   |
| 1.4795        | 6.0   | 36   | 1.5188          | 0.1556   |
| 1.4252        | 7.0   | 42   | 1.5071          | 0.1556   |
| 1.4252        | 8.0   | 48   | 1.4989          | 0.1556   |
| 1.3707        | 9.0   | 54   | 1.4901          | 0.1778   |
| 1.365         | 10.0  | 60   | 1.4824          | 0.2      |
| 1.365         | 11.0  | 66   | 1.4748          | 0.2      |
| 1.3235        | 12.0  | 72   | 1.4694          | 0.2444   |
| 1.3235        | 13.0  | 78   | 1.4635          | 0.2444   |
| 1.3233        | 14.0  | 84   | 1.4596          | 0.2444   |
| 1.2774        | 15.0  | 90   | 1.4554          | 0.2444   |
| 1.2774        | 16.0  | 96   | 1.4518          | 0.2444   |
| 1.2584        | 17.0  | 102  | 1.4482          | 0.2667   |
| 1.2584        | 18.0  | 108  | 1.4450          | 0.2667   |
| 1.2788        | 19.0  | 114  | 1.4423          | 0.2667   |
| 1.2388        | 20.0  | 120  | 1.4398          | 0.2667   |
| 1.2388        | 21.0  | 126  | 1.4370          | 0.2889   |
| 1.2317        | 22.0  | 132  | 1.4351          | 0.2667   |
| 1.2317        | 23.0  | 138  | 1.4327          | 0.2889   |
| 1.2286        | 24.0  | 144  | 1.4312          | 0.2889   |
| 1.2033        | 25.0  | 150  | 1.4298          | 0.2889   |
| 1.2033        | 26.0  | 156  | 1.4283          | 0.3111   |
| 1.1965        | 27.0  | 162  | 1.4267          | 0.3111   |
| 1.1965        | 28.0  | 168  | 1.4258          | 0.3111   |
| 1.1963        | 29.0  | 174  | 1.4246          | 0.3111   |
| 1.1946        | 30.0  | 180  | 1.4236          | 0.3111   |
| 1.1946        | 31.0  | 186  | 1.4227          | 0.3333   |
| 1.1805        | 32.0  | 192  | 1.4218          | 0.3556   |
| 1.1805        | 33.0  | 198  | 1.4211          | 0.3556   |
| 1.1439        | 34.0  | 204  | 1.4203          | 0.3556   |
| 1.1699        | 35.0  | 210  | 1.4197          | 0.3556   |
| 1.1699        | 36.0  | 216  | 1.4193          | 0.3556   |
| 1.156         | 37.0  | 222  | 1.4190          | 0.3556   |
| 1.156         | 38.0  | 228  | 1.4187          | 0.3556   |
| 1.1475        | 39.0  | 234  | 1.4185          | 0.3556   |
| 1.1517        | 40.0  | 240  | 1.4183          | 0.3556   |
| 1.1517        | 41.0  | 246  | 1.4182          | 0.3556   |
| 1.1468        | 42.0  | 252  | 1.4182          | 0.3556   |
| 1.1468        | 43.0  | 258  | 1.4182          | 0.3556   |
| 1.1597        | 44.0  | 264  | 1.4182          | 0.3556   |
| 1.1542        | 45.0  | 270  | 1.4182          | 0.3556   |
| 1.1542        | 46.0  | 276  | 1.4182          | 0.3556   |
| 1.1604        | 47.0  | 282  | 1.4182          | 0.3556   |
| 1.1604        | 48.0  | 288  | 1.4182          | 0.3556   |
| 1.1576        | 49.0  | 294  | 1.4182          | 0.3556   |
| 1.143         | 50.0  | 300  | 1.4182          | 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