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# hushem_1x_deit_base_sgd_0001_fold2

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: 1.4779
- 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    | 1.4794          | 0.1333   |
| 1.4241        | 2.0   | 12   | 1.4793          | 0.1333   |
| 1.4241        | 3.0   | 18   | 1.4793          | 0.1333   |
| 1.4299        | 4.0   | 24   | 1.4792          | 0.1333   |
| 1.4212        | 5.0   | 30   | 1.4791          | 0.1333   |
| 1.4212        | 6.0   | 36   | 1.4790          | 0.1333   |
| 1.4284        | 7.0   | 42   | 1.4790          | 0.1333   |
| 1.4284        | 8.0   | 48   | 1.4789          | 0.1333   |
| 1.4338        | 9.0   | 54   | 1.4788          | 0.1333   |
| 1.417         | 10.0  | 60   | 1.4788          | 0.1333   |
| 1.417         | 11.0  | 66   | 1.4787          | 0.1333   |
| 1.4253        | 12.0  | 72   | 1.4786          | 0.1333   |
| 1.4253        | 13.0  | 78   | 1.4786          | 0.1333   |
| 1.4157        | 14.0  | 84   | 1.4785          | 0.1333   |
| 1.4129        | 15.0  | 90   | 1.4785          | 0.1333   |
| 1.4129        | 16.0  | 96   | 1.4784          | 0.1333   |
| 1.4248        | 17.0  | 102  | 1.4784          | 0.1333   |
| 1.4248        | 18.0  | 108  | 1.4784          | 0.1333   |
| 1.4287        | 19.0  | 114  | 1.4783          | 0.1333   |
| 1.4283        | 20.0  | 120  | 1.4783          | 0.1333   |
| 1.4283        | 21.0  | 126  | 1.4782          | 0.1333   |
| 1.4273        | 22.0  | 132  | 1.4782          | 0.1333   |
| 1.4273        | 23.0  | 138  | 1.4782          | 0.1333   |
| 1.4431        | 24.0  | 144  | 1.4781          | 0.1333   |
| 1.4247        | 25.0  | 150  | 1.4781          | 0.1333   |
| 1.4247        | 26.0  | 156  | 1.4781          | 0.1333   |
| 1.4236        | 27.0  | 162  | 1.4781          | 0.1333   |
| 1.4236        | 28.0  | 168  | 1.4780          | 0.1333   |
| 1.426         | 29.0  | 174  | 1.4780          | 0.1333   |
| 1.4223        | 30.0  | 180  | 1.4780          | 0.1333   |
| 1.4223        | 31.0  | 186  | 1.4780          | 0.1333   |
| 1.418         | 32.0  | 192  | 1.4779          | 0.1333   |
| 1.418         | 33.0  | 198  | 1.4779          | 0.1333   |
| 1.4337        | 34.0  | 204  | 1.4779          | 0.1333   |
| 1.4133        | 35.0  | 210  | 1.4779          | 0.1333   |
| 1.4133        | 36.0  | 216  | 1.4779          | 0.1333   |
| 1.4229        | 37.0  | 222  | 1.4779          | 0.1333   |
| 1.4229        | 38.0  | 228  | 1.4779          | 0.1333   |
| 1.4393        | 39.0  | 234  | 1.4779          | 0.1333   |
| 1.4246        | 40.0  | 240  | 1.4779          | 0.1333   |
| 1.4246        | 41.0  | 246  | 1.4779          | 0.1333   |
| 1.4293        | 42.0  | 252  | 1.4779          | 0.1333   |
| 1.4293        | 43.0  | 258  | 1.4779          | 0.1333   |
| 1.4096        | 44.0  | 264  | 1.4779          | 0.1333   |
| 1.4337        | 45.0  | 270  | 1.4779          | 0.1333   |
| 1.4337        | 46.0  | 276  | 1.4779          | 0.1333   |
| 1.428         | 47.0  | 282  | 1.4779          | 0.1333   |
| 1.428         | 48.0  | 288  | 1.4779          | 0.1333   |
| 1.4333        | 49.0  | 294  | 1.4779          | 0.1333   |
| 1.4174        | 50.0  | 300  | 1.4779          | 0.1333   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0

01_normal 02_tapered 03_pyriform 04_amorphous