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# hushem_5x_deit_tiny_rms_00001_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: 1.3602
- Accuracy: 0.7778

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9252        | 1.0   | 27   | 1.0120          | 0.5778   |
| 0.3509        | 2.0   | 54   | 1.1528          | 0.5111   |
| 0.157         | 3.0   | 81   | 0.9423          | 0.6      |
| 0.0726        | 4.0   | 108  | 0.9109          | 0.6889   |
| 0.0239        | 5.0   | 135  | 0.9135          | 0.6889   |
| 0.0054        | 6.0   | 162  | 1.0256          | 0.7111   |
| 0.0021        | 7.0   | 189  | 1.0270          | 0.7333   |
| 0.001         | 8.0   | 216  | 1.0391          | 0.7333   |
| 0.0007        | 9.0   | 243  | 1.0771          | 0.7333   |
| 0.0005        | 10.0  | 270  | 1.1362          | 0.7333   |
| 0.0004        | 11.0  | 297  | 1.1449          | 0.7333   |
| 0.0003        | 12.0  | 324  | 1.1213          | 0.7333   |
| 0.0003        | 13.0  | 351  | 1.1342          | 0.7333   |
| 0.0002        | 14.0  | 378  | 1.1386          | 0.7333   |
| 0.0002        | 15.0  | 405  | 1.1658          | 0.7333   |
| 0.0002        | 16.0  | 432  | 1.1625          | 0.7333   |
| 0.0002        | 17.0  | 459  | 1.1658          | 0.7333   |
| 0.0001        | 18.0  | 486  | 1.2038          | 0.7333   |
| 0.0001        | 19.0  | 513  | 1.1982          | 0.7333   |
| 0.0001        | 20.0  | 540  | 1.1900          | 0.7333   |
| 0.0001        | 21.0  | 567  | 1.2002          | 0.7333   |
| 0.0001        | 22.0  | 594  | 1.2242          | 0.7333   |
| 0.0001        | 23.0  | 621  | 1.2171          | 0.7333   |
| 0.0001        | 24.0  | 648  | 1.2379          | 0.7333   |
| 0.0001        | 25.0  | 675  | 1.2677          | 0.7556   |
| 0.0001        | 26.0  | 702  | 1.2348          | 0.7333   |
| 0.0           | 27.0  | 729  | 1.2383          | 0.7333   |
| 0.0           | 28.0  | 756  | 1.2522          | 0.7333   |
| 0.0           | 29.0  | 783  | 1.2632          | 0.7556   |
| 0.0           | 30.0  | 810  | 1.2618          | 0.7333   |
| 0.0           | 31.0  | 837  | 1.2923          | 0.7556   |
| 0.0           | 32.0  | 864  | 1.2897          | 0.7556   |
| 0.0           | 33.0  | 891  | 1.2981          | 0.7556   |
| 0.0           | 34.0  | 918  | 1.3107          | 0.7556   |
| 0.0           | 35.0  | 945  | 1.3012          | 0.7556   |
| 0.0           | 36.0  | 972  | 1.3267          | 0.7556   |
| 0.0           | 37.0  | 999  | 1.3179          | 0.7556   |
| 0.0           | 38.0  | 1026 | 1.3216          | 0.7556   |
| 0.0           | 39.0  | 1053 | 1.3292          | 0.7556   |
| 0.0           | 40.0  | 1080 | 1.3316          | 0.7778   |
| 0.0           | 41.0  | 1107 | 1.3369          | 0.7778   |
| 0.0           | 42.0  | 1134 | 1.3527          | 0.7778   |
| 0.0           | 43.0  | 1161 | 1.3532          | 0.7778   |
| 0.0           | 44.0  | 1188 | 1.3550          | 0.7778   |
| 0.0           | 45.0  | 1215 | 1.3537          | 0.7778   |
| 0.0           | 46.0  | 1242 | 1.3590          | 0.7778   |
| 0.0           | 47.0  | 1269 | 1.3613          | 0.7778   |
| 0.0           | 48.0  | 1296 | 1.3601          | 0.7778   |
| 0.0           | 49.0  | 1323 | 1.3602          | 0.7778   |
| 0.0           | 50.0  | 1350 | 1.3602          | 0.7778   |


### 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