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# hushem_1x_deit_tiny_sgd_lr00001_fold2

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: 1.6351
- Accuracy: 0.1333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.6407          | 0.1333   |
| 1.6149        | 2.0   | 12   | 1.6404          | 0.1333   |
| 1.6149        | 3.0   | 18   | 1.6401          | 0.1333   |
| 1.588         | 4.0   | 24   | 1.6398          | 0.1333   |
| 1.6243        | 5.0   | 30   | 1.6396          | 0.1333   |
| 1.6243        | 6.0   | 36   | 1.6393          | 0.1333   |
| 1.6041        | 7.0   | 42   | 1.6390          | 0.1333   |
| 1.6041        | 8.0   | 48   | 1.6388          | 0.1333   |
| 1.5784        | 9.0   | 54   | 1.6386          | 0.1333   |
| 1.61          | 10.0  | 60   | 1.6383          | 0.1333   |
| 1.61          | 11.0  | 66   | 1.6381          | 0.1333   |
| 1.5857        | 12.0  | 72   | 1.6379          | 0.1333   |
| 1.5857        | 13.0  | 78   | 1.6377          | 0.1333   |
| 1.6282        | 14.0  | 84   | 1.6375          | 0.1333   |
| 1.5739        | 15.0  | 90   | 1.6373          | 0.1333   |
| 1.5739        | 16.0  | 96   | 1.6372          | 0.1333   |
| 1.5784        | 17.0  | 102  | 1.6370          | 0.1333   |
| 1.5784        | 18.0  | 108  | 1.6368          | 0.1333   |
| 1.6525        | 19.0  | 114  | 1.6367          | 0.1333   |
| 1.5978        | 20.0  | 120  | 1.6365          | 0.1333   |
| 1.5978        | 21.0  | 126  | 1.6364          | 0.1333   |
| 1.6239        | 22.0  | 132  | 1.6362          | 0.1333   |
| 1.6239        | 23.0  | 138  | 1.6361          | 0.1333   |
| 1.581         | 24.0  | 144  | 1.6360          | 0.1333   |
| 1.597         | 25.0  | 150  | 1.6359          | 0.1333   |
| 1.597         | 26.0  | 156  | 1.6358          | 0.1333   |
| 1.5864        | 27.0  | 162  | 1.6357          | 0.1333   |
| 1.5864        | 28.0  | 168  | 1.6356          | 0.1333   |
| 1.6236        | 29.0  | 174  | 1.6355          | 0.1333   |
| 1.6201        | 30.0  | 180  | 1.6354          | 0.1333   |
| 1.6201        | 31.0  | 186  | 1.6354          | 0.1333   |
| 1.6018        | 32.0  | 192  | 1.6353          | 0.1333   |
| 1.6018        | 33.0  | 198  | 1.6352          | 0.1333   |
| 1.5711        | 34.0  | 204  | 1.6352          | 0.1333   |
| 1.6003        | 35.0  | 210  | 1.6352          | 0.1333   |
| 1.6003        | 36.0  | 216  | 1.6351          | 0.1333   |
| 1.5762        | 37.0  | 222  | 1.6351          | 0.1333   |
| 1.5762        | 38.0  | 228  | 1.6351          | 0.1333   |
| 1.5979        | 39.0  | 234  | 1.6351          | 0.1333   |
| 1.6035        | 40.0  | 240  | 1.6351          | 0.1333   |
| 1.6035        | 41.0  | 246  | 1.6351          | 0.1333   |
| 1.5976        | 42.0  | 252  | 1.6351          | 0.1333   |
| 1.5976        | 43.0  | 258  | 1.6351          | 0.1333   |
| 1.5981        | 44.0  | 264  | 1.6351          | 0.1333   |
| 1.5912        | 45.0  | 270  | 1.6351          | 0.1333   |
| 1.5912        | 46.0  | 276  | 1.6351          | 0.1333   |
| 1.5981        | 47.0  | 282  | 1.6351          | 0.1333   |
| 1.5981        | 48.0  | 288  | 1.6351          | 0.1333   |
| 1.6158        | 49.0  | 294  | 1.6351          | 0.1333   |
| 1.593         | 50.0  | 300  | 1.6351          | 0.1333   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

01_normal 02_tapered 03_pyriform 04_amorphous