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# hushem_1x_deit_tiny_sgd_lr0001_fold5

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: 1.5789
- Accuracy: 0.1463

## 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    | 1.6455          | 0.1220   |
| 1.6035        | 2.0   | 12   | 1.6420          | 0.1220   |
| 1.6035        | 3.0   | 18   | 1.6386          | 0.1463   |
| 1.6142        | 4.0   | 24   | 1.6353          | 0.1463   |
| 1.5857        | 5.0   | 30   | 1.6321          | 0.1463   |
| 1.5857        | 6.0   | 36   | 1.6289          | 0.1463   |
| 1.5718        | 7.0   | 42   | 1.6259          | 0.1463   |
| 1.5718        | 8.0   | 48   | 1.6232          | 0.1463   |
| 1.5833        | 9.0   | 54   | 1.6206          | 0.1463   |
| 1.5737        | 10.0  | 60   | 1.6178          | 0.1463   |
| 1.5737        | 11.0  | 66   | 1.6153          | 0.1463   |
| 1.5614        | 12.0  | 72   | 1.6128          | 0.1220   |
| 1.5614        | 13.0  | 78   | 1.6104          | 0.1220   |
| 1.5648        | 14.0  | 84   | 1.6081          | 0.1220   |
| 1.5575        | 15.0  | 90   | 1.6060          | 0.1220   |
| 1.5575        | 16.0  | 96   | 1.6040          | 0.1220   |
| 1.5452        | 17.0  | 102  | 1.6020          | 0.1220   |
| 1.5452        | 18.0  | 108  | 1.6002          | 0.1220   |
| 1.5768        | 19.0  | 114  | 1.5984          | 0.1220   |
| 1.5464        | 20.0  | 120  | 1.5966          | 0.1220   |
| 1.5464        | 21.0  | 126  | 1.5950          | 0.1220   |
| 1.5149        | 22.0  | 132  | 1.5934          | 0.1220   |
| 1.5149        | 23.0  | 138  | 1.5920          | 0.1220   |
| 1.6056        | 24.0  | 144  | 1.5905          | 0.1220   |
| 1.5161        | 25.0  | 150  | 1.5892          | 0.1220   |
| 1.5161        | 26.0  | 156  | 1.5879          | 0.1220   |
| 1.519         | 27.0  | 162  | 1.5868          | 0.1220   |
| 1.519         | 28.0  | 168  | 1.5857          | 0.1220   |
| 1.5531        | 29.0  | 174  | 1.5848          | 0.1220   |
| 1.5347        | 30.0  | 180  | 1.5839          | 0.1220   |
| 1.5347        | 31.0  | 186  | 1.5831          | 0.1220   |
| 1.5238        | 32.0  | 192  | 1.5824          | 0.1220   |
| 1.5238        | 33.0  | 198  | 1.5817          | 0.1463   |
| 1.5463        | 34.0  | 204  | 1.5811          | 0.1463   |
| 1.5219        | 35.0  | 210  | 1.5805          | 0.1463   |
| 1.5219        | 36.0  | 216  | 1.5800          | 0.1463   |
| 1.5056        | 37.0  | 222  | 1.5797          | 0.1463   |
| 1.5056        | 38.0  | 228  | 1.5794          | 0.1463   |
| 1.5505        | 39.0  | 234  | 1.5791          | 0.1463   |
| 1.5261        | 40.0  | 240  | 1.5790          | 0.1463   |
| 1.5261        | 41.0  | 246  | 1.5789          | 0.1463   |
| 1.5175        | 42.0  | 252  | 1.5789          | 0.1463   |
| 1.5175        | 43.0  | 258  | 1.5789          | 0.1463   |
| 1.5317        | 44.0  | 264  | 1.5789          | 0.1463   |
| 1.5241        | 45.0  | 270  | 1.5789          | 0.1463   |
| 1.5241        | 46.0  | 276  | 1.5789          | 0.1463   |
| 1.5533        | 47.0  | 282  | 1.5789          | 0.1463   |
| 1.5533        | 48.0  | 288  | 1.5789          | 0.1463   |
| 1.4945        | 49.0  | 294  | 1.5789          | 0.1463   |
| 1.5379        | 50.0  | 300  | 1.5789          | 0.1463   |


### 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