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# hushem_5x_deit_base_sgd_0001_fold1

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3736
- Accuracy: 0.3333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4044        | 1.0   | 27   | 1.3857          | 0.2889   |
| 1.4077        | 2.0   | 54   | 1.3850          | 0.2889   |
| 1.4004        | 3.0   | 81   | 1.3845          | 0.2667   |
| 1.4271        | 4.0   | 108  | 1.3839          | 0.2667   |
| 1.3916        | 5.0   | 135  | 1.3834          | 0.2889   |
| 1.3945        | 6.0   | 162  | 1.3828          | 0.2889   |
| 1.3833        | 7.0   | 189  | 1.3824          | 0.2889   |
| 1.3987        | 8.0   | 216  | 1.3819          | 0.2889   |
| 1.3885        | 9.0   | 243  | 1.3815          | 0.2889   |
| 1.4047        | 10.0  | 270  | 1.3810          | 0.2667   |
| 1.3682        | 11.0  | 297  | 1.3806          | 0.2889   |
| 1.3955        | 12.0  | 324  | 1.3802          | 0.2889   |
| 1.3888        | 13.0  | 351  | 1.3799          | 0.2889   |
| 1.3775        | 14.0  | 378  | 1.3795          | 0.2889   |
| 1.3829        | 15.0  | 405  | 1.3792          | 0.2889   |
| 1.3959        | 16.0  | 432  | 1.3788          | 0.2889   |
| 1.3739        | 17.0  | 459  | 1.3785          | 0.2889   |
| 1.3699        | 18.0  | 486  | 1.3782          | 0.2889   |
| 1.3964        | 19.0  | 513  | 1.3779          | 0.3111   |
| 1.3891        | 20.0  | 540  | 1.3776          | 0.3333   |
| 1.3791        | 21.0  | 567  | 1.3773          | 0.3333   |
| 1.3887        | 22.0  | 594  | 1.3770          | 0.3333   |
| 1.3832        | 23.0  | 621  | 1.3768          | 0.3333   |
| 1.3736        | 24.0  | 648  | 1.3765          | 0.3333   |
| 1.3564        | 25.0  | 675  | 1.3763          | 0.3111   |
| 1.3586        | 26.0  | 702  | 1.3761          | 0.3111   |
| 1.3706        | 27.0  | 729  | 1.3758          | 0.3111   |
| 1.3579        | 28.0  | 756  | 1.3756          | 0.3111   |
| 1.3705        | 29.0  | 783  | 1.3754          | 0.3111   |
| 1.3624        | 30.0  | 810  | 1.3752          | 0.3111   |
| 1.367         | 31.0  | 837  | 1.3751          | 0.3111   |
| 1.3534        | 32.0  | 864  | 1.3749          | 0.3333   |
| 1.3672        | 33.0  | 891  | 1.3747          | 0.3333   |
| 1.3654        | 34.0  | 918  | 1.3746          | 0.3333   |
| 1.3592        | 35.0  | 945  | 1.3744          | 0.3333   |
| 1.3511        | 36.0  | 972  | 1.3743          | 0.3333   |
| 1.3644        | 37.0  | 999  | 1.3742          | 0.3333   |
| 1.3508        | 38.0  | 1026 | 1.3741          | 0.3333   |
| 1.3516        | 39.0  | 1053 | 1.3740          | 0.3333   |
| 1.3605        | 40.0  | 1080 | 1.3739          | 0.3333   |
| 1.3566        | 41.0  | 1107 | 1.3739          | 0.3333   |
| 1.3647        | 42.0  | 1134 | 1.3738          | 0.3333   |
| 1.3671        | 43.0  | 1161 | 1.3737          | 0.3333   |
| 1.3471        | 44.0  | 1188 | 1.3737          | 0.3333   |
| 1.3589        | 45.0  | 1215 | 1.3737          | 0.3333   |
| 1.3648        | 46.0  | 1242 | 1.3736          | 0.3333   |
| 1.3521        | 47.0  | 1269 | 1.3736          | 0.3333   |
| 1.365         | 48.0  | 1296 | 1.3736          | 0.3333   |
| 1.3656        | 49.0  | 1323 | 1.3736          | 0.3333   |
| 1.3545        | 50.0  | 1350 | 1.3736          | 0.3333   |


### 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