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# hushem_5x_deit_tiny_sgd_001_fold4

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: 1.0007
- Accuracy: 0.5238

## 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4776        | 1.0   | 28   | 1.5069          | 0.2857   |
| 1.3802        | 2.0   | 56   | 1.4145          | 0.3571   |
| 1.3245        | 3.0   | 84   | 1.3548          | 0.3571   |
| 1.3009        | 4.0   | 112  | 1.3137          | 0.4286   |
| 1.2628        | 5.0   | 140  | 1.2827          | 0.4524   |
| 1.2443        | 6.0   | 168  | 1.2514          | 0.5238   |
| 1.1651        | 7.0   | 196  | 1.2261          | 0.5238   |
| 1.1485        | 8.0   | 224  | 1.2037          | 0.5238   |
| 1.1029        | 9.0   | 252  | 1.1805          | 0.5238   |
| 1.0945        | 10.0  | 280  | 1.1607          | 0.5238   |
| 1.1057        | 11.0  | 308  | 1.1451          | 0.5476   |
| 1.0601        | 12.0  | 336  | 1.1295          | 0.5476   |
| 1.0375        | 13.0  | 364  | 1.1248          | 0.5476   |
| 1.024         | 14.0  | 392  | 1.1065          | 0.5952   |
| 0.9777        | 15.0  | 420  | 1.0997          | 0.5952   |
| 0.9798        | 16.0  | 448  | 1.0984          | 0.5952   |
| 0.9759        | 17.0  | 476  | 1.0858          | 0.5952   |
| 0.9492        | 18.0  | 504  | 1.0744          | 0.5476   |
| 0.911         | 19.0  | 532  | 1.0716          | 0.5952   |
| 0.9409        | 20.0  | 560  | 1.0622          | 0.5476   |
| 0.8706        | 21.0  | 588  | 1.0578          | 0.5476   |
| 0.9232        | 22.0  | 616  | 1.0547          | 0.5952   |
| 0.8639        | 23.0  | 644  | 1.0468          | 0.5      |
| 0.9013        | 24.0  | 672  | 1.0442          | 0.5238   |
| 0.8242        | 25.0  | 700  | 1.0432          | 0.5238   |
| 0.8379        | 26.0  | 728  | 1.0386          | 0.5238   |
| 0.8656        | 27.0  | 756  | 1.0271          | 0.5238   |
| 0.8539        | 28.0  | 784  | 1.0232          | 0.5      |
| 0.831         | 29.0  | 812  | 1.0228          | 0.5238   |
| 0.7984        | 30.0  | 840  | 1.0256          | 0.5      |
| 0.8188        | 31.0  | 868  | 1.0204          | 0.5      |
| 0.8337        | 32.0  | 896  | 1.0202          | 0.5      |
| 0.7879        | 33.0  | 924  | 1.0178          | 0.5      |
| 0.7864        | 34.0  | 952  | 1.0219          | 0.5238   |
| 0.8414        | 35.0  | 980  | 1.0150          | 0.5238   |
| 0.8067        | 36.0  | 1008 | 1.0140          | 0.5238   |
| 0.7647        | 37.0  | 1036 | 1.0119          | 0.5238   |
| 0.7807        | 38.0  | 1064 | 1.0087          | 0.5238   |
| 0.7751        | 39.0  | 1092 | 1.0072          | 0.5238   |
| 0.7728        | 40.0  | 1120 | 1.0064          | 0.5238   |
| 0.7814        | 41.0  | 1148 | 1.0052          | 0.5238   |
| 0.7361        | 42.0  | 1176 | 1.0026          | 0.5238   |
| 0.7838        | 43.0  | 1204 | 1.0019          | 0.5238   |
| 0.7388        | 44.0  | 1232 | 1.0012          | 0.5238   |
| 0.7605        | 45.0  | 1260 | 1.0006          | 0.5238   |
| 0.7578        | 46.0  | 1288 | 1.0005          | 0.5238   |
| 0.7479        | 47.0  | 1316 | 1.0010          | 0.5238   |
| 0.7186        | 48.0  | 1344 | 1.0007          | 0.5238   |
| 0.7471        | 49.0  | 1372 | 1.0007          | 0.5238   |
| 0.7354        | 50.0  | 1400 | 1.0007          | 0.5238   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

01_normal 02_tapered 03_pyriform 04_amorphous