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# hushem_5x_deit_base_rms_00001_fold1

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3013
- Accuracy: 0.8

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7665        | 1.0   | 27   | 0.8626          | 0.6667   |
| 0.1538        | 2.0   | 54   | 0.9929          | 0.6444   |
| 0.0306        | 3.0   | 81   | 1.0027          | 0.6667   |
| 0.0064        | 4.0   | 108  | 0.7842          | 0.7778   |
| 0.0027        | 5.0   | 135  | 0.8679          | 0.7556   |
| 0.0017        | 6.0   | 162  | 0.8696          | 0.7778   |
| 0.0013        | 7.0   | 189  | 0.8740          | 0.8      |
| 0.0009        | 8.0   | 216  | 0.8908          | 0.8      |
| 0.0007        | 9.0   | 243  | 0.9347          | 0.8      |
| 0.0006        | 10.0  | 270  | 0.9426          | 0.8      |
| 0.0005        | 11.0  | 297  | 0.9525          | 0.8      |
| 0.0004        | 12.0  | 324  | 0.9729          | 0.8      |
| 0.0003        | 13.0  | 351  | 0.9639          | 0.8      |
| 0.0003        | 14.0  | 378  | 0.9770          | 0.8      |
| 0.0002        | 15.0  | 405  | 1.0081          | 0.8      |
| 0.0002        | 16.0  | 432  | 1.0083          | 0.8      |
| 0.0002        | 17.0  | 459  | 1.0108          | 0.8      |
| 0.0002        | 18.0  | 486  | 1.0375          | 0.8      |
| 0.0001        | 19.0  | 513  | 1.0395          | 0.8      |
| 0.0001        | 20.0  | 540  | 1.0606          | 0.8      |
| 0.0001        | 21.0  | 567  | 1.0558          | 0.8      |
| 0.0001        | 22.0  | 594  | 1.0825          | 0.8      |
| 0.0001        | 23.0  | 621  | 1.0953          | 0.8      |
| 0.0001        | 24.0  | 648  | 1.1052          | 0.8      |
| 0.0001        | 25.0  | 675  | 1.1190          | 0.8      |
| 0.0001        | 26.0  | 702  | 1.1262          | 0.8      |
| 0.0001        | 27.0  | 729  | 1.1329          | 0.8      |
| 0.0           | 28.0  | 756  | 1.1463          | 0.8      |
| 0.0           | 29.0  | 783  | 1.1643          | 0.8      |
| 0.0           | 30.0  | 810  | 1.1628          | 0.8      |
| 0.0           | 31.0  | 837  | 1.1766          | 0.8      |
| 0.0           | 32.0  | 864  | 1.1948          | 0.8      |
| 0.0           | 33.0  | 891  | 1.2037          | 0.8      |
| 0.0           | 34.0  | 918  | 1.2175          | 0.8      |
| 0.0           | 35.0  | 945  | 1.2224          | 0.8      |
| 0.0           | 36.0  | 972  | 1.2274          | 0.8      |
| 0.0           | 37.0  | 999  | 1.2352          | 0.8      |
| 0.0           | 38.0  | 1026 | 1.2512          | 0.8      |
| 0.0           | 39.0  | 1053 | 1.2560          | 0.8      |
| 0.0           | 40.0  | 1080 | 1.2629          | 0.8      |
| 0.0           | 41.0  | 1107 | 1.2729          | 0.8      |
| 0.0           | 42.0  | 1134 | 1.2812          | 0.8      |
| 0.0           | 43.0  | 1161 | 1.2836          | 0.8      |
| 0.0           | 44.0  | 1188 | 1.2893          | 0.8      |
| 0.0           | 45.0  | 1215 | 1.2944          | 0.8      |
| 0.0           | 46.0  | 1242 | 1.2996          | 0.8      |
| 0.0           | 47.0  | 1269 | 1.3018          | 0.8      |
| 0.0           | 48.0  | 1296 | 1.3014          | 0.8      |
| 0.0           | 49.0  | 1323 | 1.3013          | 0.8      |
| 0.0           | 50.0  | 1350 | 1.3013          | 0.8      |


### 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