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# hushem_5x_deit_small_rms_0001_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: 1.0120
- Accuracy: 0.8444

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7286        | 1.0   | 27   | 0.7253          | 0.7333   |
| 0.1535        | 2.0   | 54   | 0.7112          | 0.7333   |
| 0.0294        | 3.0   | 81   | 0.7268          | 0.7333   |
| 0.0088        | 4.0   | 108  | 0.6613          | 0.7778   |
| 0.002         | 5.0   | 135  | 0.6035          | 0.8      |
| 0.0011        | 6.0   | 162  | 0.5742          | 0.8444   |
| 0.0009        | 7.0   | 189  | 0.5650          | 0.8222   |
| 0.0006        | 8.0   | 216  | 0.5900          | 0.8444   |
| 0.0005        | 9.0   | 243  | 0.6288          | 0.8444   |
| 0.0004        | 10.0  | 270  | 0.6359          | 0.8444   |
| 0.0003        | 11.0  | 297  | 0.6555          | 0.8444   |
| 0.0003        | 12.0  | 324  | 0.6530          | 0.8444   |
| 0.0002        | 13.0  | 351  | 0.6624          | 0.8444   |
| 0.0002        | 14.0  | 378  | 0.6755          | 0.8444   |
| 0.0002        | 15.0  | 405  | 0.7042          | 0.8444   |
| 0.0002        | 16.0  | 432  | 0.7026          | 0.8444   |
| 0.0001        | 17.0  | 459  | 0.7218          | 0.8444   |
| 0.0001        | 18.0  | 486  | 0.7361          | 0.8444   |
| 0.0001        | 19.0  | 513  | 0.7477          | 0.8444   |
| 0.0001        | 20.0  | 540  | 0.7601          | 0.8444   |
| 0.0001        | 21.0  | 567  | 0.7574          | 0.8444   |
| 0.0001        | 22.0  | 594  | 0.7945          | 0.8444   |
| 0.0001        | 23.0  | 621  | 0.8035          | 0.8444   |
| 0.0001        | 24.0  | 648  | 0.8071          | 0.8444   |
| 0.0001        | 25.0  | 675  | 0.8201          | 0.8444   |
| 0.0           | 26.0  | 702  | 0.8263          | 0.8444   |
| 0.0           | 27.0  | 729  | 0.8414          | 0.8444   |
| 0.0           | 28.0  | 756  | 0.8501          | 0.8444   |
| 0.0           | 29.0  | 783  | 0.8628          | 0.8444   |
| 0.0           | 30.0  | 810  | 0.8618          | 0.8444   |
| 0.0           | 31.0  | 837  | 0.8808          | 0.8444   |
| 0.0           | 32.0  | 864  | 0.8998          | 0.8444   |
| 0.0           | 33.0  | 891  | 0.9078          | 0.8444   |
| 0.0           | 34.0  | 918  | 0.9219          | 0.8444   |
| 0.0           | 35.0  | 945  | 0.9258          | 0.8444   |
| 0.0           | 36.0  | 972  | 0.9286          | 0.8444   |
| 0.0           | 37.0  | 999  | 0.9396          | 0.8444   |
| 0.0           | 38.0  | 1026 | 0.9562          | 0.8444   |
| 0.0           | 39.0  | 1053 | 0.9622          | 0.8444   |
| 0.0           | 40.0  | 1080 | 0.9723          | 0.8444   |
| 0.0           | 41.0  | 1107 | 0.9820          | 0.8444   |
| 0.0           | 42.0  | 1134 | 0.9901          | 0.8444   |
| 0.0           | 43.0  | 1161 | 0.9932          | 0.8444   |
| 0.0           | 44.0  | 1188 | 0.9995          | 0.8444   |
| 0.0           | 45.0  | 1215 | 1.0030          | 0.8444   |
| 0.0           | 46.0  | 1242 | 1.0074          | 0.8444   |
| 0.0           | 47.0  | 1269 | 1.0103          | 0.8444   |
| 0.0           | 48.0  | 1296 | 1.0119          | 0.8444   |
| 0.0           | 49.0  | 1323 | 1.0120          | 0.8444   |
| 0.0           | 50.0  | 1350 | 1.0120          | 0.8444   |


### 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