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# hushem_40x_deit_small_sgd_0001_fold1

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: 1.3807
- Accuracy: 0.3556

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.7636        | 1.0   | 215   | 1.5271          | 0.2222   |
| 1.5603        | 2.0   | 430   | 1.4695          | 0.2222   |
| 1.4189        | 3.0   | 645   | 1.4485          | 0.2444   |
| 1.4216        | 4.0   | 860   | 1.4404          | 0.3333   |
| 1.3718        | 5.0   | 1075  | 1.4361          | 0.3333   |
| 1.3271        | 6.0   | 1290  | 1.4331          | 0.3556   |
| 1.3291        | 7.0   | 1505  | 1.4309          | 0.3556   |
| 1.2611        | 8.0   | 1720  | 1.4294          | 0.3333   |
| 1.2392        | 9.0   | 1935  | 1.4281          | 0.3333   |
| 1.2352        | 10.0  | 2150  | 1.4273          | 0.3778   |
| 1.2132        | 11.0  | 2365  | 1.4268          | 0.3778   |
| 1.17          | 12.0  | 2580  | 1.4262          | 0.3778   |
| 1.1599        | 13.0  | 2795  | 1.4258          | 0.3778   |
| 1.1465        | 14.0  | 3010  | 1.4259          | 0.3778   |
| 1.1384        | 15.0  | 3225  | 1.4258          | 0.3556   |
| 1.1196        | 16.0  | 3440  | 1.4258          | 0.3333   |
| 1.1235        | 17.0  | 3655  | 1.4254          | 0.3333   |
| 1.092         | 18.0  | 3870  | 1.4252          | 0.3333   |
| 1.0493        | 19.0  | 4085  | 1.4248          | 0.3333   |
| 1.0602        | 20.0  | 4300  | 1.4241          | 0.2889   |
| 1.0537        | 21.0  | 4515  | 1.4232          | 0.2889   |
| 1.0424        | 22.0  | 4730  | 1.4223          | 0.2889   |
| 1.0373        | 23.0  | 4945  | 1.4208          | 0.2889   |
| 1.0255        | 24.0  | 5160  | 1.4191          | 0.3111   |
| 0.9946        | 25.0  | 5375  | 1.4173          | 0.3111   |
| 0.9526        | 26.0  | 5590  | 1.4155          | 0.3111   |
| 0.961         | 27.0  | 5805  | 1.4133          | 0.3111   |
| 0.9603        | 28.0  | 6020  | 1.4115          | 0.3111   |
| 0.9689        | 29.0  | 6235  | 1.4091          | 0.3111   |
| 0.9155        | 30.0  | 6450  | 1.4068          | 0.3111   |
| 0.9244        | 31.0  | 6665  | 1.4046          | 0.3111   |
| 0.9454        | 32.0  | 6880  | 1.4024          | 0.3111   |
| 0.9669        | 33.0  | 7095  | 1.4003          | 0.3111   |
| 0.935         | 34.0  | 7310  | 1.3982          | 0.3333   |
| 0.887         | 35.0  | 7525  | 1.3962          | 0.3333   |
| 0.9142        | 36.0  | 7740  | 1.3943          | 0.3333   |
| 0.9282        | 37.0  | 7955  | 1.3924          | 0.3333   |
| 0.8935        | 38.0  | 8170  | 1.3908          | 0.3333   |
| 0.9345        | 39.0  | 8385  | 1.3890          | 0.3333   |
| 0.8406        | 40.0  | 8600  | 1.3876          | 0.3333   |
| 0.8885        | 41.0  | 8815  | 1.3862          | 0.3333   |
| 0.9974        | 42.0  | 9030  | 1.3851          | 0.3333   |
| 0.9464        | 43.0  | 9245  | 1.3840          | 0.3333   |
| 0.9071        | 44.0  | 9460  | 1.3830          | 0.3333   |
| 0.9277        | 45.0  | 9675  | 1.3823          | 0.3333   |
| 0.8844        | 46.0  | 9890  | 1.3817          | 0.3333   |
| 0.8843        | 47.0  | 10105 | 1.3812          | 0.3333   |
| 0.9119        | 48.0  | 10320 | 1.3809          | 0.3556   |
| 0.9448        | 49.0  | 10535 | 1.3808          | 0.3556   |
| 0.8919        | 50.0  | 10750 | 1.3807          | 0.3556   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2

01_normal 02_tapered 03_pyriform 04_amorphous