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# hushem_5x_deit_small_sgd_001_fold5

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: 1.0219
- Accuracy: 0.5854

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5389        | 1.0   | 28   | 1.4343          | 0.2439   |
| 1.3921        | 2.0   | 56   | 1.3847          | 0.2683   |
| 1.3749        | 3.0   | 84   | 1.3585          | 0.3659   |
| 1.3126        | 4.0   | 112  | 1.3409          | 0.3659   |
| 1.3117        | 5.0   | 140  | 1.3251          | 0.3659   |
| 1.3121        | 6.0   | 168  | 1.3119          | 0.3415   |
| 1.2628        | 7.0   | 196  | 1.2980          | 0.3415   |
| 1.2308        | 8.0   | 224  | 1.2843          | 0.3659   |
| 1.2428        | 9.0   | 252  | 1.2711          | 0.4146   |
| 1.1961        | 10.0  | 280  | 1.2591          | 0.4146   |
| 1.1795        | 11.0  | 308  | 1.2486          | 0.3902   |
| 1.1594        | 12.0  | 336  | 1.2381          | 0.3902   |
| 1.1371        | 13.0  | 364  | 1.2260          | 0.3902   |
| 1.1217        | 14.0  | 392  | 1.2140          | 0.4390   |
| 1.0975        | 15.0  | 420  | 1.2018          | 0.4634   |
| 1.1139        | 16.0  | 448  | 1.1910          | 0.4878   |
| 1.0797        | 17.0  | 476  | 1.1802          | 0.4878   |
| 1.0813        | 18.0  | 504  | 1.1682          | 0.4878   |
| 1.0619        | 19.0  | 532  | 1.1572          | 0.4878   |
| 1.0398        | 20.0  | 560  | 1.1467          | 0.5122   |
| 1.0215        | 21.0  | 588  | 1.1362          | 0.5122   |
| 1.0014        | 22.0  | 616  | 1.1280          | 0.5366   |
| 1.0047        | 23.0  | 644  | 1.1216          | 0.5610   |
| 0.9823        | 24.0  | 672  | 1.1144          | 0.5610   |
| 0.9814        | 25.0  | 700  | 1.1058          | 0.5610   |
| 0.9822        | 26.0  | 728  | 1.0976          | 0.5610   |
| 0.9448        | 27.0  | 756  | 1.0916          | 0.5366   |
| 0.9805        | 28.0  | 784  | 1.0839          | 0.5366   |
| 0.9187        | 29.0  | 812  | 1.0780          | 0.5366   |
| 0.9659        | 30.0  | 840  | 1.0725          | 0.5366   |
| 0.9135        | 31.0  | 868  | 1.0663          | 0.5610   |
| 0.889         | 32.0  | 896  | 1.0628          | 0.5610   |
| 0.9089        | 33.0  | 924  | 1.0587          | 0.5610   |
| 0.9062        | 34.0  | 952  | 1.0524          | 0.5610   |
| 0.9029        | 35.0  | 980  | 1.0479          | 0.5610   |
| 0.8924        | 36.0  | 1008 | 1.0439          | 0.5854   |
| 0.8694        | 37.0  | 1036 | 1.0402          | 0.5854   |
| 0.8578        | 38.0  | 1064 | 1.0365          | 0.5610   |
| 0.8992        | 39.0  | 1092 | 1.0340          | 0.5854   |
| 0.8586        | 40.0  | 1120 | 1.0317          | 0.5854   |
| 0.8737        | 41.0  | 1148 | 1.0296          | 0.5854   |
| 0.8517        | 42.0  | 1176 | 1.0278          | 0.5854   |
| 0.8537        | 43.0  | 1204 | 1.0257          | 0.5854   |
| 0.8642        | 44.0  | 1232 | 1.0243          | 0.5854   |
| 0.871         | 45.0  | 1260 | 1.0234          | 0.5854   |
| 0.8594        | 46.0  | 1288 | 1.0226          | 0.5854   |
| 0.8675        | 47.0  | 1316 | 1.0221          | 0.5854   |
| 0.874         | 48.0  | 1344 | 1.0219          | 0.5854   |
| 0.8459        | 49.0  | 1372 | 1.0219          | 0.5854   |
| 0.8538        | 50.0  | 1400 | 1.0219          | 0.5854   |


### 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