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# hushem_5x_deit_base_adamax_0001_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: 1.3720
- Accuracy: 0.6667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2573        | 1.0   | 27   | 1.3177          | 0.3778   |
| 0.9474        | 2.0   | 54   | 1.2698          | 0.4667   |
| 0.6743        | 3.0   | 81   | 1.1709          | 0.5333   |
| 0.53          | 4.0   | 108  | 1.1238          | 0.6      |
| 0.3327        | 5.0   | 135  | 1.1060          | 0.6      |
| 0.2187        | 6.0   | 162  | 1.0991          | 0.6444   |
| 0.1497        | 7.0   | 189  | 1.1072          | 0.6444   |
| 0.086         | 8.0   | 216  | 1.1220          | 0.6444   |
| 0.0449        | 9.0   | 243  | 1.1215          | 0.6444   |
| 0.0257        | 10.0  | 270  | 1.1368          | 0.6667   |
| 0.0174        | 11.0  | 297  | 1.1587          | 0.6667   |
| 0.0102        | 12.0  | 324  | 1.1715          | 0.6889   |
| 0.0083        | 13.0  | 351  | 1.2117          | 0.6889   |
| 0.0067        | 14.0  | 378  | 1.2042          | 0.6889   |
| 0.0061        | 15.0  | 405  | 1.2320          | 0.6889   |
| 0.0048        | 16.0  | 432  | 1.2396          | 0.6889   |
| 0.0043        | 17.0  | 459  | 1.2501          | 0.6889   |
| 0.0039        | 18.0  | 486  | 1.2585          | 0.6667   |
| 0.0034        | 19.0  | 513  | 1.2714          | 0.6889   |
| 0.0031        | 20.0  | 540  | 1.2786          | 0.6889   |
| 0.0029        | 21.0  | 567  | 1.2831          | 0.6667   |
| 0.0026        | 22.0  | 594  | 1.2886          | 0.6667   |
| 0.0022        | 23.0  | 621  | 1.2985          | 0.6667   |
| 0.0022        | 24.0  | 648  | 1.3036          | 0.6667   |
| 0.002         | 25.0  | 675  | 1.3071          | 0.6667   |
| 0.002         | 26.0  | 702  | 1.3150          | 0.6667   |
| 0.0017        | 27.0  | 729  | 1.3222          | 0.6667   |
| 0.0018        | 28.0  | 756  | 1.3235          | 0.6667   |
| 0.0018        | 29.0  | 783  | 1.3294          | 0.6667   |
| 0.0017        | 30.0  | 810  | 1.3351          | 0.6667   |
| 0.0015        | 31.0  | 837  | 1.3358          | 0.6667   |
| 0.0016        | 32.0  | 864  | 1.3406          | 0.6667   |
| 0.0015        | 33.0  | 891  | 1.3434          | 0.6667   |
| 0.0014        | 34.0  | 918  | 1.3481          | 0.6667   |
| 0.0013        | 35.0  | 945  | 1.3523          | 0.6667   |
| 0.0013        | 36.0  | 972  | 1.3535          | 0.6667   |
| 0.0013        | 37.0  | 999  | 1.3558          | 0.6667   |
| 0.0012        | 38.0  | 1026 | 1.3590          | 0.6667   |
| 0.0012        | 39.0  | 1053 | 1.3619          | 0.6667   |
| 0.0011        | 40.0  | 1080 | 1.3634          | 0.6667   |
| 0.0012        | 41.0  | 1107 | 1.3657          | 0.6667   |
| 0.0011        | 42.0  | 1134 | 1.3669          | 0.6667   |
| 0.0011        | 43.0  | 1161 | 1.3696          | 0.6667   |
| 0.0011        | 44.0  | 1188 | 1.3699          | 0.6667   |
| 0.0011        | 45.0  | 1215 | 1.3707          | 0.6667   |
| 0.0011        | 46.0  | 1242 | 1.3712          | 0.6667   |
| 0.0011        | 47.0  | 1269 | 1.3718          | 0.6667   |
| 0.0011        | 48.0  | 1296 | 1.3720          | 0.6667   |
| 0.0011        | 49.0  | 1323 | 1.3720          | 0.6667   |
| 0.0011        | 50.0  | 1350 | 1.3720          | 0.6667   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

01_normal 02_tapered 03_pyriform 04_amorphous