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# hushem_1x_deit_tiny_sgd_lr0001_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: 1.5853
- 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: 0.0001
- 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    | 1.6380          | 0.1333   |
| 1.612         | 2.0   | 12   | 1.6350          | 0.1333   |
| 1.612         | 3.0   | 18   | 1.6320          | 0.1333   |
| 1.5793        | 4.0   | 24   | 1.6293          | 0.1333   |
| 1.6085        | 5.0   | 30   | 1.6268          | 0.1333   |
| 1.6085        | 6.0   | 36   | 1.6242          | 0.1333   |
| 1.5833        | 7.0   | 42   | 1.6217          | 0.1333   |
| 1.5833        | 8.0   | 48   | 1.6197          | 0.1333   |
| 1.5532        | 9.0   | 54   | 1.6175          | 0.1333   |
| 1.5785        | 10.0  | 60   | 1.6153          | 0.1333   |
| 1.5785        | 11.0  | 66   | 1.6132          | 0.1333   |
| 1.5506        | 12.0  | 72   | 1.6113          | 0.1333   |
| 1.5506        | 13.0  | 78   | 1.6095          | 0.1333   |
| 1.5868        | 14.0  | 84   | 1.6078          | 0.1333   |
| 1.532         | 15.0  | 90   | 1.6062          | 0.1333   |
| 1.532         | 16.0  | 96   | 1.6045          | 0.1333   |
| 1.5321        | 17.0  | 102  | 1.6029          | 0.1333   |
| 1.5321        | 18.0  | 108  | 1.6015          | 0.1333   |
| 1.5965        | 19.0  | 114  | 1.6001          | 0.1333   |
| 1.5428        | 20.0  | 120  | 1.5987          | 0.1333   |
| 1.5428        | 21.0  | 126  | 1.5975          | 0.1333   |
| 1.5622        | 22.0  | 132  | 1.5964          | 0.1333   |
| 1.5622        | 23.0  | 138  | 1.5951          | 0.1333   |
| 1.5259        | 24.0  | 144  | 1.5941          | 0.1333   |
| 1.5339        | 25.0  | 150  | 1.5932          | 0.1333   |
| 1.5339        | 26.0  | 156  | 1.5923          | 0.1333   |
| 1.5237        | 27.0  | 162  | 1.5914          | 0.1333   |
| 1.5237        | 28.0  | 168  | 1.5907          | 0.1333   |
| 1.5539        | 29.0  | 174  | 1.5899          | 0.1333   |
| 1.5487        | 30.0  | 180  | 1.5891          | 0.1333   |
| 1.5487        | 31.0  | 186  | 1.5885          | 0.1333   |
| 1.5317        | 32.0  | 192  | 1.5879          | 0.1333   |
| 1.5317        | 33.0  | 198  | 1.5874          | 0.1333   |
| 1.4989        | 34.0  | 204  | 1.5869          | 0.1333   |
| 1.5301        | 35.0  | 210  | 1.5865          | 0.1333   |
| 1.5301        | 36.0  | 216  | 1.5862          | 0.1333   |
| 1.5061        | 37.0  | 222  | 1.5859          | 0.1333   |
| 1.5061        | 38.0  | 228  | 1.5857          | 0.1333   |
| 1.5205        | 39.0  | 234  | 1.5855          | 0.1333   |
| 1.5267        | 40.0  | 240  | 1.5854          | 0.1333   |
| 1.5267        | 41.0  | 246  | 1.5854          | 0.1333   |
| 1.5211        | 42.0  | 252  | 1.5853          | 0.1333   |
| 1.5211        | 43.0  | 258  | 1.5853          | 0.1333   |
| 1.524         | 44.0  | 264  | 1.5853          | 0.1333   |
| 1.5163        | 45.0  | 270  | 1.5853          | 0.1333   |
| 1.5163        | 46.0  | 276  | 1.5853          | 0.1333   |
| 1.5253        | 47.0  | 282  | 1.5853          | 0.1333   |
| 1.5253        | 48.0  | 288  | 1.5853          | 0.1333   |
| 1.5384        | 49.0  | 294  | 1.5853          | 0.1333   |
| 1.5175        | 50.0  | 300  | 1.5853          | 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