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# hushem_5x_deit_tiny_sgd_001_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: 1.3348
- Accuracy: 0.4222

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4407        | 1.0   | 27   | 1.4410          | 0.2667   |
| 1.382         | 2.0   | 54   | 1.4092          | 0.2667   |
| 1.3657        | 3.0   | 81   | 1.3896          | 0.2889   |
| 1.3344        | 4.0   | 108  | 1.3798          | 0.3111   |
| 1.2537        | 5.0   | 135  | 1.3657          | 0.3111   |
| 1.2237        | 6.0   | 162  | 1.3512          | 0.3333   |
| 1.2007        | 7.0   | 189  | 1.3419          | 0.3333   |
| 1.1972        | 8.0   | 216  | 1.3343          | 0.3556   |
| 1.1733        | 9.0   | 243  | 1.3294          | 0.3556   |
| 1.1145        | 10.0  | 270  | 1.3216          | 0.3778   |
| 1.1155        | 11.0  | 297  | 1.3166          | 0.3778   |
| 1.036         | 12.0  | 324  | 1.3103          | 0.3778   |
| 1.0595        | 13.0  | 351  | 1.3110          | 0.3778   |
| 1.0374        | 14.0  | 378  | 1.3072          | 0.3556   |
| 1.0659        | 15.0  | 405  | 1.3094          | 0.3778   |
| 1.034         | 16.0  | 432  | 1.3075          | 0.3778   |
| 0.954         | 17.0  | 459  | 1.3079          | 0.3778   |
| 0.9531        | 18.0  | 486  | 1.3085          | 0.3778   |
| 0.957         | 19.0  | 513  | 1.3124          | 0.3778   |
| 0.8978        | 20.0  | 540  | 1.3062          | 0.3778   |
| 0.885         | 21.0  | 567  | 1.3090          | 0.3778   |
| 0.8819        | 22.0  | 594  | 1.3143          | 0.3778   |
| 0.8801        | 23.0  | 621  | 1.3162          | 0.3778   |
| 0.857         | 24.0  | 648  | 1.3096          | 0.3778   |
| 0.8479        | 25.0  | 675  | 1.3101          | 0.3778   |
| 0.8743        | 26.0  | 702  | 1.3127          | 0.4      |
| 0.8288        | 27.0  | 729  | 1.3204          | 0.4      |
| 0.8104        | 28.0  | 756  | 1.3212          | 0.4      |
| 0.8245        | 29.0  | 783  | 1.3255          | 0.4      |
| 0.8139        | 30.0  | 810  | 1.3165          | 0.4      |
| 0.796         | 31.0  | 837  | 1.3232          | 0.4      |
| 0.7919        | 32.0  | 864  | 1.3216          | 0.4      |
| 0.7796        | 33.0  | 891  | 1.3211          | 0.4      |
| 0.7571        | 34.0  | 918  | 1.3245          | 0.4222   |
| 0.7521        | 35.0  | 945  | 1.3258          | 0.4222   |
| 0.7479        | 36.0  | 972  | 1.3280          | 0.4222   |
| 0.7621        | 37.0  | 999  | 1.3305          | 0.4222   |
| 0.7058        | 38.0  | 1026 | 1.3305          | 0.4222   |
| 0.71          | 39.0  | 1053 | 1.3319          | 0.4222   |
| 0.7228        | 40.0  | 1080 | 1.3314          | 0.4222   |
| 0.7146        | 41.0  | 1107 | 1.3317          | 0.4222   |
| 0.7189        | 42.0  | 1134 | 1.3333          | 0.4222   |
| 0.7405        | 43.0  | 1161 | 1.3338          | 0.4222   |
| 0.6872        | 44.0  | 1188 | 1.3335          | 0.4222   |
| 0.6996        | 45.0  | 1215 | 1.3344          | 0.4222   |
| 0.6979        | 46.0  | 1242 | 1.3345          | 0.4222   |
| 0.7035        | 47.0  | 1269 | 1.3347          | 0.4222   |
| 0.703         | 48.0  | 1296 | 1.3347          | 0.4222   |
| 0.7245        | 49.0  | 1323 | 1.3348          | 0.4222   |
| 0.7019        | 50.0  | 1350 | 1.3348          | 0.4222   |


### 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