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# hushem_1x_deit_small_sgd_0001_fold4

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: 1.4227
- Accuracy: 0.2619

## 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    | 1.4804          | 0.2619   |
| 1.5213        | 2.0   | 12   | 1.4770          | 0.2857   |
| 1.5213        | 3.0   | 18   | 1.4737          | 0.2857   |
| 1.5439        | 4.0   | 24   | 1.4702          | 0.2857   |
| 1.5226        | 5.0   | 30   | 1.4673          | 0.2857   |
| 1.5226        | 6.0   | 36   | 1.4646          | 0.2857   |
| 1.52          | 7.0   | 42   | 1.4618          | 0.2857   |
| 1.52          | 8.0   | 48   | 1.4591          | 0.2857   |
| 1.5076        | 9.0   | 54   | 1.4566          | 0.2857   |
| 1.5003        | 10.0  | 60   | 1.4541          | 0.2857   |
| 1.5003        | 11.0  | 66   | 1.4520          | 0.2857   |
| 1.4856        | 12.0  | 72   | 1.4497          | 0.2857   |
| 1.4856        | 13.0  | 78   | 1.4476          | 0.2857   |
| 1.5104        | 14.0  | 84   | 1.4457          | 0.2857   |
| 1.4726        | 15.0  | 90   | 1.4438          | 0.2857   |
| 1.4726        | 16.0  | 96   | 1.4420          | 0.2857   |
| 1.4844        | 17.0  | 102  | 1.4403          | 0.2857   |
| 1.4844        | 18.0  | 108  | 1.4387          | 0.2619   |
| 1.4456        | 19.0  | 114  | 1.4373          | 0.2619   |
| 1.5242        | 20.0  | 120  | 1.4359          | 0.2619   |
| 1.5242        | 21.0  | 126  | 1.4347          | 0.2619   |
| 1.4484        | 22.0  | 132  | 1.4335          | 0.2619   |
| 1.4484        | 23.0  | 138  | 1.4324          | 0.2619   |
| 1.4722        | 24.0  | 144  | 1.4314          | 0.2619   |
| 1.4802        | 25.0  | 150  | 1.4303          | 0.2619   |
| 1.4802        | 26.0  | 156  | 1.4294          | 0.2619   |
| 1.4658        | 27.0  | 162  | 1.4284          | 0.2619   |
| 1.4658        | 28.0  | 168  | 1.4276          | 0.2619   |
| 1.4705        | 29.0  | 174  | 1.4269          | 0.2619   |
| 1.4629        | 30.0  | 180  | 1.4263          | 0.2619   |
| 1.4629        | 31.0  | 186  | 1.4256          | 0.2619   |
| 1.4786        | 32.0  | 192  | 1.4251          | 0.2619   |
| 1.4786        | 33.0  | 198  | 1.4246          | 0.2619   |
| 1.4444        | 34.0  | 204  | 1.4242          | 0.2619   |
| 1.435         | 35.0  | 210  | 1.4238          | 0.2619   |
| 1.435         | 36.0  | 216  | 1.4235          | 0.2619   |
| 1.4653        | 37.0  | 222  | 1.4232          | 0.2619   |
| 1.4653        | 38.0  | 228  | 1.4230          | 0.2619   |
| 1.4482        | 39.0  | 234  | 1.4228          | 0.2619   |
| 1.4598        | 40.0  | 240  | 1.4227          | 0.2619   |
| 1.4598        | 41.0  | 246  | 1.4227          | 0.2619   |
| 1.4528        | 42.0  | 252  | 1.4227          | 0.2619   |
| 1.4528        | 43.0  | 258  | 1.4227          | 0.2619   |
| 1.4661        | 44.0  | 264  | 1.4227          | 0.2619   |
| 1.4575        | 45.0  | 270  | 1.4227          | 0.2619   |
| 1.4575        | 46.0  | 276  | 1.4227          | 0.2619   |
| 1.4719        | 47.0  | 282  | 1.4227          | 0.2619   |
| 1.4719        | 48.0  | 288  | 1.4227          | 0.2619   |
| 1.4602        | 49.0  | 294  | 1.4227          | 0.2619   |
| 1.465         | 50.0  | 300  | 1.4227          | 0.2619   |


### 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