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# hushem_5x_deit_small_adamax_00001_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: 0.4351
- Accuracy: 0.9070

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3047        | 1.0   | 28   | 1.2727          | 0.3023   |
| 0.9947        | 2.0   | 56   | 1.1088          | 0.5116   |
| 0.6975        | 3.0   | 84   | 1.0336          | 0.5814   |
| 0.5355        | 4.0   | 112  | 0.9195          | 0.6047   |
| 0.3827        | 5.0   | 140  | 0.8325          | 0.6279   |
| 0.3           | 6.0   | 168  | 0.7235          | 0.7674   |
| 0.2132        | 7.0   | 196  | 0.6638          | 0.7209   |
| 0.1664        | 8.0   | 224  | 0.5923          | 0.7674   |
| 0.1004        | 9.0   | 252  | 0.5516          | 0.7674   |
| 0.0697        | 10.0  | 280  | 0.5067          | 0.7907   |
| 0.0474        | 11.0  | 308  | 0.5078          | 0.7674   |
| 0.0278        | 12.0  | 336  | 0.5312          | 0.7907   |
| 0.0177        | 13.0  | 364  | 0.4466          | 0.8372   |
| 0.0105        | 14.0  | 392  | 0.4059          | 0.8837   |
| 0.0066        | 15.0  | 420  | 0.4235          | 0.8372   |
| 0.005         | 16.0  | 448  | 0.4260          | 0.8372   |
| 0.0043        | 17.0  | 476  | 0.4042          | 0.8605   |
| 0.0033        | 18.0  | 504  | 0.4280          | 0.8605   |
| 0.003         | 19.0  | 532  | 0.4100          | 0.8837   |
| 0.0024        | 20.0  | 560  | 0.4096          | 0.9070   |
| 0.0023        | 21.0  | 588  | 0.4113          | 0.9070   |
| 0.002         | 22.0  | 616  | 0.4075          | 0.9070   |
| 0.0019        | 23.0  | 644  | 0.4099          | 0.9070   |
| 0.0015        | 24.0  | 672  | 0.4158          | 0.9070   |
| 0.0014        | 25.0  | 700  | 0.4120          | 0.9070   |
| 0.0015        | 26.0  | 728  | 0.4156          | 0.9070   |
| 0.0013        | 27.0  | 756  | 0.4154          | 0.9070   |
| 0.0013        | 28.0  | 784  | 0.4244          | 0.9070   |
| 0.0012        | 29.0  | 812  | 0.4172          | 0.9070   |
| 0.0012        | 30.0  | 840  | 0.4177          | 0.9070   |
| 0.0011        | 31.0  | 868  | 0.4272          | 0.9070   |
| 0.0011        | 32.0  | 896  | 0.4248          | 0.9070   |
| 0.001         | 33.0  | 924  | 0.4242          | 0.9070   |
| 0.001         | 34.0  | 952  | 0.4262          | 0.9070   |
| 0.0012        | 35.0  | 980  | 0.4213          | 0.9070   |
| 0.0009        | 36.0  | 1008 | 0.4193          | 0.9302   |
| 0.0009        | 37.0  | 1036 | 0.4299          | 0.9302   |
| 0.0008        | 38.0  | 1064 | 0.4330          | 0.9070   |
| 0.0008        | 39.0  | 1092 | 0.4363          | 0.9070   |
| 0.0009        | 40.0  | 1120 | 0.4311          | 0.9070   |
| 0.0008        | 41.0  | 1148 | 0.4367          | 0.9070   |
| 0.0008        | 42.0  | 1176 | 0.4356          | 0.9070   |
| 0.0008        | 43.0  | 1204 | 0.4345          | 0.9070   |
| 0.0008        | 44.0  | 1232 | 0.4348          | 0.9070   |
| 0.0007        | 45.0  | 1260 | 0.4351          | 0.9070   |
| 0.0007        | 46.0  | 1288 | 0.4351          | 0.9070   |
| 0.0007        | 47.0  | 1316 | 0.4349          | 0.9070   |
| 0.0007        | 48.0  | 1344 | 0.4351          | 0.9070   |
| 0.0007        | 49.0  | 1372 | 0.4351          | 0.9070   |
| 0.0007        | 50.0  | 1400 | 0.4351          | 0.9070   |


### 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