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# hushem_5x_deit_tiny_sgd_00001_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: 1.6392
- Accuracy: 0.2857

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5126        | 1.0   | 28   | 1.6960          | 0.2857   |
| 1.4875        | 2.0   | 56   | 1.6934          | 0.2857   |
| 1.484         | 3.0   | 84   | 1.6908          | 0.2857   |
| 1.5224        | 4.0   | 112  | 1.6883          | 0.2857   |
| 1.464         | 5.0   | 140  | 1.6861          | 0.2857   |
| 1.514         | 6.0   | 168  | 1.6836          | 0.2857   |
| 1.4795        | 7.0   | 196  | 1.6813          | 0.2857   |
| 1.4849        | 8.0   | 224  | 1.6790          | 0.2857   |
| 1.4832        | 9.0   | 252  | 1.6769          | 0.2857   |
| 1.5231        | 10.0  | 280  | 1.6747          | 0.2857   |
| 1.5146        | 11.0  | 308  | 1.6728          | 0.2857   |
| 1.4709        | 12.0  | 336  | 1.6708          | 0.2857   |
| 1.5002        | 13.0  | 364  | 1.6689          | 0.2857   |
| 1.4731        | 14.0  | 392  | 1.6671          | 0.2857   |
| 1.4733        | 15.0  | 420  | 1.6654          | 0.2857   |
| 1.4938        | 16.0  | 448  | 1.6637          | 0.2857   |
| 1.517         | 17.0  | 476  | 1.6621          | 0.2857   |
| 1.4904        | 18.0  | 504  | 1.6604          | 0.2857   |
| 1.4813        | 19.0  | 532  | 1.6589          | 0.2857   |
| 1.4788        | 20.0  | 560  | 1.6576          | 0.2857   |
| 1.476         | 21.0  | 588  | 1.6562          | 0.2857   |
| 1.5095        | 22.0  | 616  | 1.6550          | 0.2857   |
| 1.4801        | 23.0  | 644  | 1.6537          | 0.2857   |
| 1.4778        | 24.0  | 672  | 1.6525          | 0.2857   |
| 1.4526        | 25.0  | 700  | 1.6513          | 0.2857   |
| 1.4781        | 26.0  | 728  | 1.6502          | 0.2857   |
| 1.4923        | 27.0  | 756  | 1.6492          | 0.2857   |
| 1.4977        | 28.0  | 784  | 1.6482          | 0.2857   |
| 1.4558        | 29.0  | 812  | 1.6472          | 0.2857   |
| 1.4785        | 30.0  | 840  | 1.6464          | 0.2857   |
| 1.4962        | 31.0  | 868  | 1.6455          | 0.2857   |
| 1.4638        | 32.0  | 896  | 1.6447          | 0.2857   |
| 1.5095        | 33.0  | 924  | 1.6440          | 0.2857   |
| 1.4775        | 34.0  | 952  | 1.6433          | 0.2857   |
| 1.4595        | 35.0  | 980  | 1.6427          | 0.2857   |
| 1.4656        | 36.0  | 1008 | 1.6421          | 0.2857   |
| 1.4403        | 37.0  | 1036 | 1.6416          | 0.2857   |
| 1.4824        | 38.0  | 1064 | 1.6412          | 0.2857   |
| 1.5225        | 39.0  | 1092 | 1.6408          | 0.2857   |
| 1.4471        | 40.0  | 1120 | 1.6404          | 0.2857   |
| 1.4797        | 41.0  | 1148 | 1.6401          | 0.2857   |
| 1.4455        | 42.0  | 1176 | 1.6399          | 0.2857   |
| 1.4823        | 43.0  | 1204 | 1.6397          | 0.2857   |
| 1.4547        | 44.0  | 1232 | 1.6395          | 0.2857   |
| 1.4676        | 45.0  | 1260 | 1.6394          | 0.2857   |
| 1.4731        | 46.0  | 1288 | 1.6393          | 0.2857   |
| 1.4786        | 47.0  | 1316 | 1.6393          | 0.2857   |
| 1.4805        | 48.0  | 1344 | 1.6392          | 0.2857   |
| 1.5172        | 49.0  | 1372 | 1.6392          | 0.2857   |
| 1.4525        | 50.0  | 1400 | 1.6392          | 0.2857   |


### 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