
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# hushem_5x_deit_small_adamax_001_fold1

This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9670
- Accuracy: 0.4667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4243        | 1.0   | 27   | 1.4114          | 0.2667   |
| 1.0749        | 2.0   | 54   | 1.3320          | 0.4222   |
| 0.8047        | 3.0   | 81   | 1.4606          | 0.4      |
| 1.1443        | 4.0   | 108  | 1.1606          | 0.3778   |
| 0.6749        | 5.0   | 135  | 1.3783          | 0.3778   |
| 0.6355        | 6.0   | 162  | 1.1666          | 0.5111   |
| 0.6766        | 7.0   | 189  | 2.0044          | 0.3778   |
| 0.5072        | 8.0   | 216  | 2.1218          | 0.3778   |
| 0.5923        | 9.0   | 243  | 2.3668          | 0.3778   |
| 0.5554        | 10.0  | 270  | 1.8883          | 0.3556   |
| 0.5809        | 11.0  | 297  | 1.7992          | 0.3778   |
| 0.3925        | 12.0  | 324  | 2.0376          | 0.3778   |
| 0.468         | 13.0  | 351  | 2.2940          | 0.3556   |
| 0.388         | 14.0  | 378  | 2.2184          | 0.4      |
| 0.3576        | 15.0  | 405  | 2.7767          | 0.3556   |
| 0.2702        | 16.0  | 432  | 1.8836          | 0.4444   |
| 0.2448        | 17.0  | 459  | 2.0997          | 0.4      |
| 0.3121        | 18.0  | 486  | 1.6999          | 0.4667   |
| 0.1734        | 19.0  | 513  | 2.3268          | 0.4444   |
| 0.318         | 20.0  | 540  | 3.2732          | 0.3556   |
| 0.2011        | 21.0  | 567  | 2.9255          | 0.4      |
| 0.1594        | 22.0  | 594  | 3.3998          | 0.3778   |
| 0.1002        | 23.0  | 621  | 2.6724          | 0.5556   |
| 0.1302        | 24.0  | 648  | 2.4689          | 0.5111   |
| 0.1301        | 25.0  | 675  | 2.3542          | 0.4889   |
| 0.0517        | 26.0  | 702  | 3.6395          | 0.4222   |
| 0.0477        | 27.0  | 729  | 3.0379          | 0.4667   |
| 0.1158        | 28.0  | 756  | 3.8148          | 0.4      |
| 0.0196        | 29.0  | 783  | 4.2909          | 0.4      |
| 0.0022        | 30.0  | 810  | 4.5812          | 0.4222   |
| 0.0023        | 31.0  | 837  | 4.8297          | 0.4667   |
| 0.0086        | 32.0  | 864  | 4.7485          | 0.4667   |
| 0.0049        | 33.0  | 891  | 4.6840          | 0.4889   |
| 0.0002        | 34.0  | 918  | 4.4345          | 0.4667   |
| 0.0001        | 35.0  | 945  | 5.3275          | 0.4889   |
| 0.0001        | 36.0  | 972  | 4.4575          | 0.4667   |
| 0.0001        | 37.0  | 999  | 4.7352          | 0.4889   |
| 0.0           | 38.0  | 1026 | 4.7979          | 0.4667   |
| 0.0           | 39.0  | 1053 | 4.8394          | 0.4667   |
| 0.0           | 40.0  | 1080 | 4.8675          | 0.4667   |
| 0.0           | 41.0  | 1107 | 4.8943          | 0.4667   |
| 0.0           | 42.0  | 1134 | 4.9142          | 0.4667   |
| 0.0           | 43.0  | 1161 | 4.9318          | 0.4667   |
| 0.0           | 44.0  | 1188 | 4.9439          | 0.4667   |
| 0.0           | 45.0  | 1215 | 4.9539          | 0.4667   |
| 0.0           | 46.0  | 1242 | 4.9606          | 0.4667   |
| 0.0           | 47.0  | 1269 | 4.9652          | 0.4667   |
| 0.0           | 48.0  | 1296 | 4.9670          | 0.4667   |
| 0.0           | 49.0  | 1323 | 4.9670          | 0.4667   |
| 0.0           | 50.0  | 1350 | 4.9670          | 0.4667   |


### 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