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# hushem_5x_deit_small_sgd_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: 1.2065
- Accuracy: 0.4444

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.469         | 1.0   | 27   | 1.4260          | 0.2444   |
| 1.3863        | 2.0   | 54   | 1.3825          | 0.2889   |
| 1.3604        | 3.0   | 81   | 1.3624          | 0.3333   |
| 1.3505        | 4.0   | 108  | 1.3566          | 0.4      |
| 1.2837        | 5.0   | 135  | 1.3537          | 0.4      |
| 1.2588        | 6.0   | 162  | 1.3503          | 0.4      |
| 1.243         | 7.0   | 189  | 1.3481          | 0.4      |
| 1.2286        | 8.0   | 216  | 1.3453          | 0.4222   |
| 1.1857        | 9.0   | 243  | 1.3417          | 0.4222   |
| 1.1652        | 10.0  | 270  | 1.3373          | 0.4222   |
| 1.135         | 11.0  | 297  | 1.3328          | 0.4222   |
| 1.1257        | 12.0  | 324  | 1.3276          | 0.4222   |
| 1.1465        | 13.0  | 351  | 1.3209          | 0.4444   |
| 1.0952        | 14.0  | 378  | 1.3151          | 0.4444   |
| 1.0919        | 15.0  | 405  | 1.3098          | 0.4444   |
| 1.0847        | 16.0  | 432  | 1.3049          | 0.4222   |
| 1.0446        | 17.0  | 459  | 1.2985          | 0.4667   |
| 1.0054        | 18.0  | 486  | 1.2928          | 0.4444   |
| 1.0169        | 19.0  | 513  | 1.2866          | 0.4222   |
| 1.0001        | 20.0  | 540  | 1.2827          | 0.4222   |
| 0.9603        | 21.0  | 567  | 1.2785          | 0.4222   |
| 0.9735        | 22.0  | 594  | 1.2740          | 0.4444   |
| 0.9444        | 23.0  | 621  | 1.2697          | 0.4667   |
| 0.9156        | 24.0  | 648  | 1.2621          | 0.4444   |
| 0.9658        | 25.0  | 675  | 1.2568          | 0.4444   |
| 0.9699        | 26.0  | 702  | 1.2527          | 0.4444   |
| 0.8985        | 27.0  | 729  | 1.2504          | 0.4444   |
| 0.8958        | 28.0  | 756  | 1.2453          | 0.4222   |
| 0.9214        | 29.0  | 783  | 1.2429          | 0.4444   |
| 0.9068        | 30.0  | 810  | 1.2374          | 0.4222   |
| 0.8659        | 31.0  | 837  | 1.2336          | 0.4222   |
| 0.8774        | 32.0  | 864  | 1.2303          | 0.4222   |
| 0.8587        | 33.0  | 891  | 1.2279          | 0.4222   |
| 0.8719        | 34.0  | 918  | 1.2241          | 0.4222   |
| 0.8448        | 35.0  | 945  | 1.2216          | 0.4222   |
| 0.8563        | 36.0  | 972  | 1.2203          | 0.4222   |
| 0.8555        | 37.0  | 999  | 1.2179          | 0.4222   |
| 0.8252        | 38.0  | 1026 | 1.2169          | 0.4222   |
| 0.83          | 39.0  | 1053 | 1.2146          | 0.4222   |
| 0.8062        | 40.0  | 1080 | 1.2129          | 0.4222   |
| 0.8472        | 41.0  | 1107 | 1.2110          | 0.4222   |
| 0.8075        | 42.0  | 1134 | 1.2099          | 0.4222   |
| 0.8415        | 43.0  | 1161 | 1.2087          | 0.4222   |
| 0.8064        | 44.0  | 1188 | 1.2081          | 0.4444   |
| 0.8219        | 45.0  | 1215 | 1.2076          | 0.4444   |
| 0.8297        | 46.0  | 1242 | 1.2069          | 0.4444   |
| 0.8108        | 47.0  | 1269 | 1.2066          | 0.4444   |
| 0.8128        | 48.0  | 1296 | 1.2065          | 0.4444   |
| 0.8385        | 49.0  | 1323 | 1.2065          | 0.4444   |
| 0.8247        | 50.0  | 1350 | 1.2065          | 0.4444   |


### 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