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# hushem_1x_deit_tiny_sgd_lr00001_fold3

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: 1.5383
- Accuracy: 0.3023

## 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    | 1.5437          | 0.3023   |
| 1.6283        | 2.0   | 12   | 1.5434          | 0.3023   |
| 1.6283        | 3.0   | 18   | 1.5431          | 0.3023   |
| 1.63          | 4.0   | 24   | 1.5428          | 0.3023   |
| 1.6367        | 5.0   | 30   | 1.5426          | 0.3023   |
| 1.6367        | 6.0   | 36   | 1.5423          | 0.3023   |
| 1.6273        | 7.0   | 42   | 1.5421          | 0.3023   |
| 1.6273        | 8.0   | 48   | 1.5419          | 0.3023   |
| 1.6489        | 9.0   | 54   | 1.5417          | 0.3023   |
| 1.5924        | 10.0  | 60   | 1.5414          | 0.3023   |
| 1.5924        | 11.0  | 66   | 1.5412          | 0.3023   |
| 1.6227        | 12.0  | 72   | 1.5411          | 0.3023   |
| 1.6227        | 13.0  | 78   | 1.5409          | 0.3023   |
| 1.6367        | 14.0  | 84   | 1.5407          | 0.3023   |
| 1.622         | 15.0  | 90   | 1.5405          | 0.3023   |
| 1.622         | 16.0  | 96   | 1.5403          | 0.3023   |
| 1.621         | 17.0  | 102  | 1.5401          | 0.3023   |
| 1.621         | 18.0  | 108  | 1.5400          | 0.3023   |
| 1.6386        | 19.0  | 114  | 1.5398          | 0.3023   |
| 1.6207        | 20.0  | 120  | 1.5397          | 0.3023   |
| 1.6207        | 21.0  | 126  | 1.5395          | 0.3023   |
| 1.6152        | 22.0  | 132  | 1.5394          | 0.3023   |
| 1.6152        | 23.0  | 138  | 1.5393          | 0.3023   |
| 1.6503        | 24.0  | 144  | 1.5392          | 0.3023   |
| 1.6219        | 25.0  | 150  | 1.5390          | 0.3023   |
| 1.6219        | 26.0  | 156  | 1.5389          | 0.3023   |
| 1.6152        | 27.0  | 162  | 1.5389          | 0.3023   |
| 1.6152        | 28.0  | 168  | 1.5388          | 0.3023   |
| 1.6192        | 29.0  | 174  | 1.5387          | 0.3023   |
| 1.6111        | 30.0  | 180  | 1.5386          | 0.3023   |
| 1.6111        | 31.0  | 186  | 1.5386          | 0.3023   |
| 1.6114        | 32.0  | 192  | 1.5385          | 0.3023   |
| 1.6114        | 33.0  | 198  | 1.5384          | 0.3023   |
| 1.6361        | 34.0  | 204  | 1.5384          | 0.3023   |
| 1.6146        | 35.0  | 210  | 1.5384          | 0.3023   |
| 1.6146        | 36.0  | 216  | 1.5383          | 0.3023   |
| 1.6254        | 37.0  | 222  | 1.5383          | 0.3023   |
| 1.6254        | 38.0  | 228  | 1.5383          | 0.3023   |
| 1.6124        | 39.0  | 234  | 1.5383          | 0.3023   |
| 1.6367        | 40.0  | 240  | 1.5383          | 0.3023   |
| 1.6367        | 41.0  | 246  | 1.5383          | 0.3023   |
| 1.6229        | 42.0  | 252  | 1.5383          | 0.3023   |
| 1.6229        | 43.0  | 258  | 1.5383          | 0.3023   |
| 1.6506        | 44.0  | 264  | 1.5383          | 0.3023   |
| 1.6148        | 45.0  | 270  | 1.5383          | 0.3023   |
| 1.6148        | 46.0  | 276  | 1.5383          | 0.3023   |
| 1.6242        | 47.0  | 282  | 1.5383          | 0.3023   |
| 1.6242        | 48.0  | 288  | 1.5383          | 0.3023   |
| 1.6087        | 49.0  | 294  | 1.5383          | 0.3023   |
| 1.6097        | 50.0  | 300  | 1.5383          | 0.3023   |


### 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