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# hushem_1x_deit_base_sgd_001_fold2

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3798
- Accuracy: 0.2

## 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    | 1.4713          | 0.1333   |
| 1.4188        | 2.0   | 12   | 1.4634          | 0.1333   |
| 1.4188        | 3.0   | 18   | 1.4564          | 0.1333   |
| 1.4085        | 4.0   | 24   | 1.4508          | 0.1333   |
| 1.3911        | 5.0   | 30   | 1.4443          | 0.1333   |
| 1.3911        | 6.0   | 36   | 1.4385          | 0.1333   |
| 1.3816        | 7.0   | 42   | 1.4335          | 0.1333   |
| 1.3816        | 8.0   | 48   | 1.4295          | 0.1111   |
| 1.3793        | 9.0   | 54   | 1.4254          | 0.1111   |
| 1.3554        | 10.0  | 60   | 1.4214          | 0.1111   |
| 1.3554        | 11.0  | 66   | 1.4179          | 0.1111   |
| 1.3538        | 12.0  | 72   | 1.4149          | 0.1111   |
| 1.3538        | 13.0  | 78   | 1.4119          | 0.1333   |
| 1.3412        | 14.0  | 84   | 1.4092          | 0.1333   |
| 1.3299        | 15.0  | 90   | 1.4068          | 0.1333   |
| 1.3299        | 16.0  | 96   | 1.4046          | 0.1333   |
| 1.3323        | 17.0  | 102  | 1.4026          | 0.1333   |
| 1.3323        | 18.0  | 108  | 1.4005          | 0.1556   |
| 1.3314        | 19.0  | 114  | 1.3985          | 0.1556   |
| 1.319         | 20.0  | 120  | 1.3965          | 0.1778   |
| 1.319         | 21.0  | 126  | 1.3949          | 0.1556   |
| 1.3167        | 22.0  | 132  | 1.3934          | 0.1556   |
| 1.3167        | 23.0  | 138  | 1.3918          | 0.1556   |
| 1.3277        | 24.0  | 144  | 1.3905          | 0.1556   |
| 1.3028        | 25.0  | 150  | 1.3894          | 0.1556   |
| 1.3028        | 26.0  | 156  | 1.3882          | 0.1556   |
| 1.305         | 27.0  | 162  | 1.3873          | 0.1556   |
| 1.305         | 28.0  | 168  | 1.3863          | 0.1778   |
| 1.2998        | 29.0  | 174  | 1.3854          | 0.2      |
| 1.2987        | 30.0  | 180  | 1.3845          | 0.2      |
| 1.2987        | 31.0  | 186  | 1.3838          | 0.1778   |
| 1.2931        | 32.0  | 192  | 1.3831          | 0.1778   |
| 1.2931        | 33.0  | 198  | 1.3824          | 0.1778   |
| 1.3006        | 34.0  | 204  | 1.3818          | 0.1778   |
| 1.2837        | 35.0  | 210  | 1.3813          | 0.2      |
| 1.2837        | 36.0  | 216  | 1.3809          | 0.2      |
| 1.2882        | 37.0  | 222  | 1.3806          | 0.2      |
| 1.2882        | 38.0  | 228  | 1.3803          | 0.2      |
| 1.2892        | 39.0  | 234  | 1.3801          | 0.2      |
| 1.288         | 40.0  | 240  | 1.3799          | 0.2      |
| 1.288         | 41.0  | 246  | 1.3798          | 0.2      |
| 1.2923        | 42.0  | 252  | 1.3798          | 0.2      |
| 1.2923        | 43.0  | 258  | 1.3798          | 0.2      |
| 1.2814        | 44.0  | 264  | 1.3798          | 0.2      |
| 1.291         | 45.0  | 270  | 1.3798          | 0.2      |
| 1.291         | 46.0  | 276  | 1.3798          | 0.2      |
| 1.2879        | 47.0  | 282  | 1.3798          | 0.2      |
| 1.2879        | 48.0  | 288  | 1.3798          | 0.2      |
| 1.2801        | 49.0  | 294  | 1.3798          | 0.2      |
| 1.2884        | 50.0  | 300  | 1.3798          | 0.2      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0

01_normal 02_tapered 03_pyriform 04_amorphous