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# hushem_5x_deit_base_adamax_00001_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: 1.1362
- Accuracy: 0.6444

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2172        | 1.0   | 27   | 1.2445          | 0.4      |
| 0.8523        | 2.0   | 54   | 1.0947          | 0.4667   |
| 0.5686        | 3.0   | 81   | 1.0185          | 0.5778   |
| 0.4004        | 4.0   | 108  | 0.9768          | 0.5778   |
| 0.2464        | 5.0   | 135  | 0.9587          | 0.5778   |
| 0.1691        | 6.0   | 162  | 0.8886          | 0.6222   |
| 0.1191        | 7.0   | 189  | 0.9107          | 0.6      |
| 0.0619        | 8.0   | 216  | 0.8951          | 0.6444   |
| 0.0336        | 9.0   | 243  | 0.9574          | 0.6      |
| 0.0186        | 10.0  | 270  | 0.9860          | 0.5778   |
| 0.0125        | 11.0  | 297  | 0.9869          | 0.6      |
| 0.0084        | 12.0  | 324  | 1.0113          | 0.6      |
| 0.0076        | 13.0  | 351  | 0.9936          | 0.6      |
| 0.0057        | 14.0  | 378  | 1.0048          | 0.6      |
| 0.0052        | 15.0  | 405  | 1.0120          | 0.6      |
| 0.0044        | 16.0  | 432  | 1.0086          | 0.6222   |
| 0.0038        | 17.0  | 459  | 1.0209          | 0.6222   |
| 0.0036        | 18.0  | 486  | 1.0433          | 0.6222   |
| 0.0032        | 19.0  | 513  | 1.0446          | 0.6444   |
| 0.0029        | 20.0  | 540  | 1.0517          | 0.6444   |
| 0.0025        | 21.0  | 567  | 1.0577          | 0.6444   |
| 0.0023        | 22.0  | 594  | 1.0550          | 0.6444   |
| 0.0022        | 23.0  | 621  | 1.0799          | 0.6444   |
| 0.002         | 24.0  | 648  | 1.0753          | 0.6444   |
| 0.002         | 25.0  | 675  | 1.0830          | 0.6444   |
| 0.002         | 26.0  | 702  | 1.0841          | 0.6444   |
| 0.0018        | 27.0  | 729  | 1.0884          | 0.6444   |
| 0.0017        | 28.0  | 756  | 1.0904          | 0.6444   |
| 0.0017        | 29.0  | 783  | 1.1034          | 0.6444   |
| 0.0016        | 30.0  | 810  | 1.1073          | 0.6444   |
| 0.0015        | 31.0  | 837  | 1.1021          | 0.6444   |
| 0.0015        | 32.0  | 864  | 1.1089          | 0.6444   |
| 0.0014        | 33.0  | 891  | 1.1157          | 0.6444   |
| 0.0014        | 34.0  | 918  | 1.1170          | 0.6444   |
| 0.0013        | 35.0  | 945  | 1.1193          | 0.6444   |
| 0.0012        | 36.0  | 972  | 1.1215          | 0.6444   |
| 0.0013        | 37.0  | 999  | 1.1225          | 0.6444   |
| 0.0012        | 38.0  | 1026 | 1.1226          | 0.6444   |
| 0.0012        | 39.0  | 1053 | 1.1299          | 0.6444   |
| 0.0011        | 40.0  | 1080 | 1.1301          | 0.6444   |
| 0.0012        | 41.0  | 1107 | 1.1312          | 0.6444   |
| 0.0011        | 42.0  | 1134 | 1.1308          | 0.6444   |
| 0.0012        | 43.0  | 1161 | 1.1360          | 0.6444   |
| 0.001         | 44.0  | 1188 | 1.1351          | 0.6444   |
| 0.0011        | 45.0  | 1215 | 1.1359          | 0.6444   |
| 0.0011        | 46.0  | 1242 | 1.1364          | 0.6444   |
| 0.001         | 47.0  | 1269 | 1.1364          | 0.6444   |
| 0.0011        | 48.0  | 1296 | 1.1362          | 0.6444   |
| 0.0011        | 49.0  | 1323 | 1.1362          | 0.6444   |
| 0.0011        | 50.0  | 1350 | 1.1362          | 0.6444   |


### 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