
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# hushem_5x_deit_small_adamax_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: 2.7808
- Accuracy: 0.6744

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4231        | 1.0   | 28   | 1.5192          | 0.2558   |
| 1.3519        | 2.0   | 56   | 1.1068          | 0.5581   |
| 1.0181        | 3.0   | 84   | 1.0826          | 0.5581   |
| 0.9214        | 4.0   | 112  | 0.9767          | 0.5814   |
| 0.6936        | 5.0   | 140  | 1.4687          | 0.3488   |
| 0.9125        | 6.0   | 168  | 1.1689          | 0.5116   |
| 0.8268        | 7.0   | 196  | 1.1523          | 0.5581   |
| 0.7335        | 8.0   | 224  | 0.7001          | 0.6744   |
| 0.527         | 9.0   | 252  | 0.6807          | 0.6977   |
| 0.5031        | 10.0  | 280  | 1.2372          | 0.5814   |
| 0.3869        | 11.0  | 308  | 1.0194          | 0.6744   |
| 0.4401        | 12.0  | 336  | 1.2579          | 0.6279   |
| 0.3701        | 13.0  | 364  | 0.9873          | 0.7209   |
| 0.2336        | 14.0  | 392  | 1.2562          | 0.5581   |
| 0.1629        | 15.0  | 420  | 1.2297          | 0.6744   |
| 0.1635        | 16.0  | 448  | 1.3203          | 0.7674   |
| 0.1352        | 17.0  | 476  | 1.7615          | 0.6977   |
| 0.1062        | 18.0  | 504  | 1.7045          | 0.6977   |
| 0.0801        | 19.0  | 532  | 2.1745          | 0.6047   |
| 0.0683        | 20.0  | 560  | 1.8826          | 0.6977   |
| 0.0931        | 21.0  | 588  | 2.7349          | 0.6047   |
| 0.0235        | 22.0  | 616  | 2.1002          | 0.6744   |
| 0.05          | 23.0  | 644  | 1.7777          | 0.7442   |
| 0.0038        | 24.0  | 672  | 1.7249          | 0.6977   |
| 0.0183        | 25.0  | 700  | 2.2930          | 0.6977   |
| 0.023         | 26.0  | 728  | 1.7975          | 0.7209   |
| 0.0109        | 27.0  | 756  | 2.0767          | 0.7442   |
| 0.0003        | 28.0  | 784  | 2.6313          | 0.6977   |
| 0.0001        | 29.0  | 812  | 2.7110          | 0.6512   |
| 0.0           | 30.0  | 840  | 2.7098          | 0.6744   |
| 0.0           | 31.0  | 868  | 2.7164          | 0.6744   |
| 0.0           | 32.0  | 896  | 2.7474          | 0.6744   |
| 0.0           | 33.0  | 924  | 2.7506          | 0.6744   |
| 0.0           | 34.0  | 952  | 2.7511          | 0.6744   |
| 0.0           | 35.0  | 980  | 2.7547          | 0.6744   |
| 0.0           | 36.0  | 1008 | 2.7577          | 0.6744   |
| 0.0           | 37.0  | 1036 | 2.7609          | 0.6744   |
| 0.0           | 38.0  | 1064 | 2.7631          | 0.6744   |
| 0.0           | 39.0  | 1092 | 2.7673          | 0.6744   |
| 0.0           | 40.0  | 1120 | 2.7700          | 0.6744   |
| 0.0           | 41.0  | 1148 | 2.7723          | 0.6744   |
| 0.0           | 42.0  | 1176 | 2.7743          | 0.6744   |
| 0.0           | 43.0  | 1204 | 2.7761          | 0.6744   |
| 0.0           | 44.0  | 1232 | 2.7776          | 0.6744   |
| 0.0           | 45.0  | 1260 | 2.7788          | 0.6744   |
| 0.0           | 46.0  | 1288 | 2.7800          | 0.6744   |
| 0.0           | 47.0  | 1316 | 2.7805          | 0.6744   |
| 0.0           | 48.0  | 1344 | 2.7808          | 0.6744   |
| 0.0           | 49.0  | 1372 | 2.7808          | 0.6744   |
| 0.0           | 50.0  | 1400 | 2.7808          | 0.6744   |


### 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