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# hushem_5x_deit_base_adamax_0001_fold1

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: 1.1576
- Accuracy: 0.7111

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.238         | 1.0   | 27   | 1.3398          | 0.2667   |
| 0.9269        | 2.0   | 54   | 1.2685          | 0.4444   |
| 0.6591        | 3.0   | 81   | 1.1740          | 0.5333   |
| 0.5112        | 4.0   | 108  | 1.1289          | 0.5556   |
| 0.3169        | 5.0   | 135  | 1.0720          | 0.5778   |
| 0.2415        | 6.0   | 162  | 0.9458          | 0.6      |
| 0.1769        | 7.0   | 189  | 0.9250          | 0.6      |
| 0.0983        | 8.0   | 216  | 0.8893          | 0.6667   |
| 0.0567        | 9.0   | 243  | 0.8959          | 0.7111   |
| 0.0295        | 10.0  | 270  | 1.0130          | 0.5778   |
| 0.0202        | 11.0  | 297  | 0.9509          | 0.6889   |
| 0.0113        | 12.0  | 324  | 0.9586          | 0.7111   |
| 0.0094        | 13.0  | 351  | 0.9844          | 0.6889   |
| 0.0072        | 14.0  | 378  | 0.9965          | 0.7333   |
| 0.0063        | 15.0  | 405  | 1.0087          | 0.7111   |
| 0.005         | 16.0  | 432  | 1.0089          | 0.6889   |
| 0.0041        | 17.0  | 459  | 1.0347          | 0.6889   |
| 0.004         | 18.0  | 486  | 1.0569          | 0.6889   |
| 0.0034        | 19.0  | 513  | 1.0522          | 0.6889   |
| 0.0031        | 20.0  | 540  | 1.0681          | 0.6889   |
| 0.0027        | 21.0  | 567  | 1.0686          | 0.6889   |
| 0.0026        | 22.0  | 594  | 1.0745          | 0.6889   |
| 0.0023        | 23.0  | 621  | 1.0948          | 0.6889   |
| 0.0022        | 24.0  | 648  | 1.0979          | 0.6889   |
| 0.0021        | 25.0  | 675  | 1.0958          | 0.6889   |
| 0.0021        | 26.0  | 702  | 1.1008          | 0.6889   |
| 0.0018        | 27.0  | 729  | 1.1079          | 0.6889   |
| 0.0017        | 28.0  | 756  | 1.1114          | 0.6889   |
| 0.0019        | 29.0  | 783  | 1.1187          | 0.6889   |
| 0.0017        | 30.0  | 810  | 1.1246          | 0.6889   |
| 0.0016        | 31.0  | 837  | 1.1229          | 0.6889   |
| 0.0016        | 32.0  | 864  | 1.1290          | 0.6889   |
| 0.0014        | 33.0  | 891  | 1.1312          | 0.6889   |
| 0.0015        | 34.0  | 918  | 1.1349          | 0.6889   |
| 0.0014        | 35.0  | 945  | 1.1402          | 0.6889   |
| 0.0013        | 36.0  | 972  | 1.1442          | 0.6889   |
| 0.0013        | 37.0  | 999  | 1.1434          | 0.6889   |
| 0.0012        | 38.0  | 1026 | 1.1425          | 0.7111   |
| 0.0012        | 39.0  | 1053 | 1.1512          | 0.6889   |
| 0.0011        | 40.0  | 1080 | 1.1497          | 0.6889   |
| 0.0012        | 41.0  | 1107 | 1.1525          | 0.6889   |
| 0.0012        | 42.0  | 1134 | 1.1548          | 0.6889   |
| 0.0012        | 43.0  | 1161 | 1.1577          | 0.6889   |
| 0.0011        | 44.0  | 1188 | 1.1573          | 0.6889   |
| 0.0011        | 45.0  | 1215 | 1.1575          | 0.6889   |
| 0.0011        | 46.0  | 1242 | 1.1575          | 0.7111   |
| 0.0011        | 47.0  | 1269 | 1.1575          | 0.7111   |
| 0.0011        | 48.0  | 1296 | 1.1576          | 0.7111   |
| 0.0011        | 49.0  | 1323 | 1.1576          | 0.7111   |
| 0.0011        | 50.0  | 1350 | 1.1576          | 0.7111   |


### 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