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# hushem_5x_deit_small_sgd_001_fold3

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: 1.1692
- Accuracy: 0.4186

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4612        | 1.0   | 28   | 1.5118          | 0.2558   |
| 1.3805        | 2.0   | 56   | 1.4497          | 0.2093   |
| 1.3041        | 3.0   | 84   | 1.4123          | 0.2093   |
| 1.3096        | 4.0   | 112  | 1.3866          | 0.2558   |
| 1.3306        | 5.0   | 140  | 1.3677          | 0.2558   |
| 1.2628        | 6.0   | 168  | 1.3531          | 0.2791   |
| 1.2467        | 7.0   | 196  | 1.3404          | 0.2791   |
| 1.2266        | 8.0   | 224  | 1.3306          | 0.3023   |
| 1.194         | 9.0   | 252  | 1.3214          | 0.3023   |
| 1.1663        | 10.0  | 280  | 1.3122          | 0.2791   |
| 1.1821        | 11.0  | 308  | 1.3053          | 0.3023   |
| 1.1428        | 12.0  | 336  | 1.2975          | 0.3023   |
| 1.1221        | 13.0  | 364  | 1.2914          | 0.3023   |
| 1.0981        | 14.0  | 392  | 1.2852          | 0.3023   |
| 1.1081        | 15.0  | 420  | 1.2792          | 0.3488   |
| 1.0434        | 16.0  | 448  | 1.2755          | 0.3488   |
| 1.0661        | 17.0  | 476  | 1.2676          | 0.3721   |
| 1.0349        | 18.0  | 504  | 1.2624          | 0.3721   |
| 1.0251        | 19.0  | 532  | 1.2563          | 0.3721   |
| 0.9878        | 20.0  | 560  | 1.2508          | 0.3721   |
| 1.0276        | 21.0  | 588  | 1.2459          | 0.3721   |
| 0.9848        | 22.0  | 616  | 1.2419          | 0.3721   |
| 0.9825        | 23.0  | 644  | 1.2362          | 0.3721   |
| 0.9289        | 24.0  | 672  | 1.2312          | 0.3721   |
| 0.9221        | 25.0  | 700  | 1.2274          | 0.3721   |
| 0.9187        | 26.0  | 728  | 1.2222          | 0.3721   |
| 0.9248        | 27.0  | 756  | 1.2177          | 0.3953   |
| 0.9505        | 28.0  | 784  | 1.2135          | 0.3721   |
| 0.9022        | 29.0  | 812  | 1.2094          | 0.3721   |
| 0.8445        | 30.0  | 840  | 1.2060          | 0.3721   |
| 0.861         | 31.0  | 868  | 1.2023          | 0.3953   |
| 0.9005        | 32.0  | 896  | 1.1985          | 0.3953   |
| 0.8936        | 33.0  | 924  | 1.1956          | 0.3953   |
| 0.8469        | 34.0  | 952  | 1.1923          | 0.3953   |
| 0.9675        | 35.0  | 980  | 1.1892          | 0.3953   |
| 0.8615        | 36.0  | 1008 | 1.1869          | 0.3953   |
| 0.8944        | 37.0  | 1036 | 1.1838          | 0.3953   |
| 0.8374        | 38.0  | 1064 | 1.1820          | 0.3953   |
| 0.8431        | 39.0  | 1092 | 1.1797          | 0.3953   |
| 0.8451        | 40.0  | 1120 | 1.1776          | 0.3953   |
| 0.8614        | 41.0  | 1148 | 1.1756          | 0.3953   |
| 0.8347        | 42.0  | 1176 | 1.1741          | 0.3953   |
| 0.8159        | 43.0  | 1204 | 1.1724          | 0.4419   |
| 0.8229        | 44.0  | 1232 | 1.1713          | 0.4419   |
| 0.8046        | 45.0  | 1260 | 1.1703          | 0.4186   |
| 0.8129        | 46.0  | 1288 | 1.1698          | 0.4186   |
| 0.8156        | 47.0  | 1316 | 1.1693          | 0.4186   |
| 0.8259        | 48.0  | 1344 | 1.1692          | 0.4186   |
| 0.7943        | 49.0  | 1372 | 1.1692          | 0.4186   |
| 0.8288        | 50.0  | 1400 | 1.1692          | 0.4186   |


### 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