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# hushem_5x_deit_small_rms_0001_fold2

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: 1.8006
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7439        | 1.0   | 27   | 1.0539          | 0.6444   |
| 0.177         | 2.0   | 54   | 1.0125          | 0.7333   |
| 0.044         | 3.0   | 81   | 1.1844          | 0.7333   |
| 0.006         | 4.0   | 108  | 1.1270          | 0.7333   |
| 0.0022        | 5.0   | 135  | 1.1880          | 0.7778   |
| 0.0013        | 6.0   | 162  | 1.2281          | 0.7778   |
| 0.001         | 7.0   | 189  | 1.2543          | 0.7778   |
| 0.0006        | 8.0   | 216  | 1.2793          | 0.7778   |
| 0.0005        | 9.0   | 243  | 1.3082          | 0.7778   |
| 0.0004        | 10.0  | 270  | 1.3397          | 0.7778   |
| 0.0004        | 11.0  | 297  | 1.3617          | 0.7778   |
| 0.0003        | 12.0  | 324  | 1.3778          | 0.7778   |
| 0.0002        | 13.0  | 351  | 1.3987          | 0.7778   |
| 0.0002        | 14.0  | 378  | 1.4094          | 0.7778   |
| 0.0002        | 15.0  | 405  | 1.4326          | 0.7778   |
| 0.0002        | 16.0  | 432  | 1.4544          | 0.7778   |
| 0.0001        | 17.0  | 459  | 1.4652          | 0.7778   |
| 0.0001        | 18.0  | 486  | 1.4807          | 0.7778   |
| 0.0001        | 19.0  | 513  | 1.5027          | 0.7778   |
| 0.0001        | 20.0  | 540  | 1.5152          | 0.7778   |
| 0.0001        | 21.0  | 567  | 1.5261          | 0.7778   |
| 0.0001        | 22.0  | 594  | 1.5470          | 0.7778   |
| 0.0001        | 23.0  | 621  | 1.5602          | 0.7778   |
| 0.0001        | 24.0  | 648  | 1.5642          | 0.7778   |
| 0.0001        | 25.0  | 675  | 1.5773          | 0.7778   |
| 0.0           | 26.0  | 702  | 1.6051          | 0.7778   |
| 0.0           | 27.0  | 729  | 1.6190          | 0.7778   |
| 0.0           | 28.0  | 756  | 1.6244          | 0.7778   |
| 0.0           | 29.0  | 783  | 1.6489          | 0.7778   |
| 0.0           | 30.0  | 810  | 1.6490          | 0.7778   |
| 0.0           | 31.0  | 837  | 1.6606          | 0.7778   |
| 0.0           | 32.0  | 864  | 1.6722          | 0.7778   |
| 0.0           | 33.0  | 891  | 1.6872          | 0.7778   |
| 0.0           | 34.0  | 918  | 1.6956          | 0.7778   |
| 0.0           | 35.0  | 945  | 1.7012          | 0.7778   |
| 0.0           | 36.0  | 972  | 1.7167          | 0.7778   |
| 0.0           | 37.0  | 999  | 1.7292          | 0.7778   |
| 0.0           | 38.0  | 1026 | 1.7432          | 0.7778   |
| 0.0           | 39.0  | 1053 | 1.7490          | 0.7778   |
| 0.0           | 40.0  | 1080 | 1.7621          | 0.7778   |
| 0.0           | 41.0  | 1107 | 1.7660          | 0.7778   |
| 0.0           | 42.0  | 1134 | 1.7744          | 0.7778   |
| 0.0           | 43.0  | 1161 | 1.7810          | 0.7778   |
| 0.0           | 44.0  | 1188 | 1.7884          | 0.7778   |
| 0.0           | 45.0  | 1215 | 1.7901          | 0.7778   |
| 0.0           | 46.0  | 1242 | 1.7957          | 0.7778   |
| 0.0           | 47.0  | 1269 | 1.7991          | 0.7778   |
| 0.0           | 48.0  | 1296 | 1.8006          | 0.7778   |
| 0.0           | 49.0  | 1323 | 1.8006          | 0.7778   |
| 0.0           | 50.0  | 1350 | 1.8006          | 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