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# hushem_5x_deit_tiny_adamax_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: 1.7375
- Accuracy: 0.7857

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4656        | 1.0   | 28   | 1.3873          | 0.3095   |
| 1.2586        | 2.0   | 56   | 1.2764          | 0.5      |
| 1.1469        | 3.0   | 84   | 0.9328          | 0.5      |
| 1.0441        | 4.0   | 112  | 0.8472          | 0.5952   |
| 0.811         | 5.0   | 140  | 0.7157          | 0.6667   |
| 0.9304        | 6.0   | 168  | 1.0112          | 0.5476   |
| 0.6688        | 7.0   | 196  | 1.1025          | 0.6429   |
| 0.7046        | 8.0   | 224  | 0.9337          | 0.7143   |
| 0.6117        | 9.0   | 252  | 0.8164          | 0.7143   |
| 0.4458        | 10.0  | 280  | 0.9534          | 0.7381   |
| 0.3231        | 11.0  | 308  | 0.8226          | 0.7381   |
| 0.2594        | 12.0  | 336  | 1.4042          | 0.6905   |
| 0.3579        | 13.0  | 364  | 1.0151          | 0.6905   |
| 0.3051        | 14.0  | 392  | 1.1256          | 0.7619   |
| 0.212         | 15.0  | 420  | 1.4604          | 0.6905   |
| 0.1011        | 16.0  | 448  | 1.4776          | 0.7381   |
| 0.0658        | 17.0  | 476  | 1.5151          | 0.7143   |
| 0.0916        | 18.0  | 504  | 2.0212          | 0.6667   |
| 0.12          | 19.0  | 532  | 1.3757          | 0.7143   |
| 0.1417        | 20.0  | 560  | 1.9592          | 0.6905   |
| 0.1037        | 21.0  | 588  | 1.5184          | 0.7143   |
| 0.0812        | 22.0  | 616  | 1.5083          | 0.7381   |
| 0.0404        | 23.0  | 644  | 1.7932          | 0.7381   |
| 0.0758        | 24.0  | 672  | 1.5450          | 0.7143   |
| 0.0384        | 25.0  | 700  | 2.0953          | 0.6667   |
| 0.0277        | 26.0  | 728  | 1.9894          | 0.6667   |
| 0.0016        | 27.0  | 756  | 1.8938          | 0.7143   |
| 0.0008        | 28.0  | 784  | 1.7999          | 0.7619   |
| 0.0118        | 29.0  | 812  | 1.7512          | 0.7619   |
| 0.0001        | 30.0  | 840  | 1.8297          | 0.7619   |
| 0.0002        | 31.0  | 868  | 1.7978          | 0.7381   |
| 0.0105        | 32.0  | 896  | 1.6941          | 0.7857   |
| 0.0001        | 33.0  | 924  | 1.6973          | 0.7619   |
| 0.0           | 34.0  | 952  | 1.6981          | 0.7381   |
| 0.0           | 35.0  | 980  | 1.7026          | 0.7381   |
| 0.0           | 36.0  | 1008 | 1.7088          | 0.7619   |
| 0.0           | 37.0  | 1036 | 1.7123          | 0.7619   |
| 0.0           | 38.0  | 1064 | 1.7165          | 0.7619   |
| 0.0           | 39.0  | 1092 | 1.7201          | 0.7619   |
| 0.0           | 40.0  | 1120 | 1.7234          | 0.7619   |
| 0.0           | 41.0  | 1148 | 1.7263          | 0.7619   |
| 0.0           | 42.0  | 1176 | 1.7294          | 0.7619   |
| 0.0           | 43.0  | 1204 | 1.7316          | 0.7619   |
| 0.0           | 44.0  | 1232 | 1.7334          | 0.7857   |
| 0.0           | 45.0  | 1260 | 1.7350          | 0.7857   |
| 0.0           | 46.0  | 1288 | 1.7363          | 0.7857   |
| 0.0           | 47.0  | 1316 | 1.7371          | 0.7857   |
| 0.0           | 48.0  | 1344 | 1.7375          | 0.7857   |
| 0.0           | 49.0  | 1372 | 1.7375          | 0.7857   |
| 0.0           | 50.0  | 1400 | 1.7375          | 0.7857   |


### 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