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# hushem_5x_deit_tiny_adamax_00001_fold1

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: 1.3516
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3422        | 1.0   | 27   | 1.4246          | 0.2444   |
| 1.0091        | 2.0   | 54   | 1.3182          | 0.3333   |
| 0.8493        | 3.0   | 81   | 1.2550          | 0.3556   |
| 0.7491        | 4.0   | 108  | 1.2490          | 0.4      |
| 0.5567        | 5.0   | 135  | 1.2577          | 0.4444   |
| 0.4888        | 6.0   | 162  | 1.1346          | 0.4444   |
| 0.3998        | 7.0   | 189  | 1.0755          | 0.4889   |
| 0.3183        | 8.0   | 216  | 1.0806          | 0.5111   |
| 0.2348        | 9.0   | 243  | 1.0626          | 0.4667   |
| 0.1921        | 10.0  | 270  | 1.0210          | 0.5556   |
| 0.1327        | 11.0  | 297  | 1.0080          | 0.5556   |
| 0.0957        | 12.0  | 324  | 1.0134          | 0.5111   |
| 0.0834        | 13.0  | 351  | 1.0055          | 0.5556   |
| 0.0584        | 14.0  | 378  | 0.9707          | 0.5778   |
| 0.0407        | 15.0  | 405  | 0.9642          | 0.6      |
| 0.0299        | 16.0  | 432  | 0.9671          | 0.6222   |
| 0.0236        | 17.0  | 459  | 1.0493          | 0.6      |
| 0.0189        | 18.0  | 486  | 1.0428          | 0.6      |
| 0.0123        | 19.0  | 513  | 1.0847          | 0.6222   |
| 0.0089        | 20.0  | 540  | 1.0847          | 0.6667   |
| 0.0061        | 21.0  | 567  | 1.1226          | 0.6      |
| 0.0054        | 22.0  | 594  | 1.1899          | 0.6222   |
| 0.0037        | 23.0  | 621  | 1.2113          | 0.6444   |
| 0.0029        | 24.0  | 648  | 1.2131          | 0.6222   |
| 0.0025        | 25.0  | 675  | 1.2220          | 0.6222   |
| 0.0023        | 26.0  | 702  | 1.2400          | 0.6444   |
| 0.0022        | 27.0  | 729  | 1.2553          | 0.6444   |
| 0.0017        | 28.0  | 756  | 1.2656          | 0.6667   |
| 0.0018        | 29.0  | 783  | 1.2717          | 0.6444   |
| 0.0016        | 30.0  | 810  | 1.2861          | 0.6444   |
| 0.0014        | 31.0  | 837  | 1.2858          | 0.6444   |
| 0.0015        | 32.0  | 864  | 1.2948          | 0.6444   |
| 0.0012        | 33.0  | 891  | 1.3044          | 0.6444   |
| 0.0012        | 34.0  | 918  | 1.3113          | 0.6444   |
| 0.0011        | 35.0  | 945  | 1.3140          | 0.6444   |
| 0.0011        | 36.0  | 972  | 1.3218          | 0.6444   |
| 0.001         | 37.0  | 999  | 1.3254          | 0.6444   |
| 0.001         | 38.0  | 1026 | 1.3310          | 0.6444   |
| 0.0009        | 39.0  | 1053 | 1.3375          | 0.6444   |
| 0.0009        | 40.0  | 1080 | 1.3355          | 0.6444   |
| 0.0009        | 41.0  | 1107 | 1.3390          | 0.6444   |
| 0.0009        | 42.0  | 1134 | 1.3441          | 0.6444   |
| 0.0008        | 43.0  | 1161 | 1.3451          | 0.6444   |
| 0.0008        | 44.0  | 1188 | 1.3481          | 0.6444   |
| 0.0009        | 45.0  | 1215 | 1.3501          | 0.6444   |
| 0.0008        | 46.0  | 1242 | 1.3500          | 0.6444   |
| 0.0008        | 47.0  | 1269 | 1.3513          | 0.6444   |
| 0.0008        | 48.0  | 1296 | 1.3516          | 0.6444   |
| 0.0008        | 49.0  | 1323 | 1.3516          | 0.6444   |
| 0.0008        | 50.0  | 1350 | 1.3516          | 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