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# hushem_5x_deit_small_sgd_0001_fold4

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: 1.3721
- Accuracy: 0.2619

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5364        | 1.0   | 28   | 1.4759          | 0.2857   |
| 1.6032        | 2.0   | 56   | 1.4677          | 0.2857   |
| 1.5235        | 3.0   | 84   | 1.4598          | 0.2857   |
| 1.5363        | 4.0   | 112  | 1.4530          | 0.2857   |
| 1.4963        | 5.0   | 140  | 1.4466          | 0.2857   |
| 1.4798        | 6.0   | 168  | 1.4404          | 0.2857   |
| 1.4963        | 7.0   | 196  | 1.4349          | 0.2857   |
| 1.441         | 8.0   | 224  | 1.4297          | 0.3095   |
| 1.5032        | 9.0   | 252  | 1.4249          | 0.3095   |
| 1.4231        | 10.0  | 280  | 1.4205          | 0.3095   |
| 1.4482        | 11.0  | 308  | 1.4164          | 0.3095   |
| 1.4398        | 12.0  | 336  | 1.4127          | 0.3095   |
| 1.468         | 13.0  | 364  | 1.4093          | 0.3095   |
| 1.4278        | 14.0  | 392  | 1.4061          | 0.3095   |
| 1.4624        | 15.0  | 420  | 1.4032          | 0.3095   |
| 1.438         | 16.0  | 448  | 1.4004          | 0.2857   |
| 1.4401        | 17.0  | 476  | 1.3979          | 0.2857   |
| 1.416         | 18.0  | 504  | 1.3956          | 0.3095   |
| 1.4033        | 19.0  | 532  | 1.3934          | 0.3333   |
| 1.4123        | 20.0  | 560  | 1.3916          | 0.3333   |
| 1.4056        | 21.0  | 588  | 1.3899          | 0.3095   |
| 1.4089        | 22.0  | 616  | 1.3883          | 0.3333   |
| 1.3801        | 23.0  | 644  | 1.3868          | 0.3333   |
| 1.3733        | 24.0  | 672  | 1.3854          | 0.3095   |
| 1.3798        | 25.0  | 700  | 1.3840          | 0.3095   |
| 1.4051        | 26.0  | 728  | 1.3828          | 0.3095   |
| 1.4017        | 27.0  | 756  | 1.3817          | 0.3095   |
| 1.4006        | 28.0  | 784  | 1.3807          | 0.3095   |
| 1.368         | 29.0  | 812  | 1.3797          | 0.3095   |
| 1.3628        | 30.0  | 840  | 1.3788          | 0.3333   |
| 1.3803        | 31.0  | 868  | 1.3780          | 0.2619   |
| 1.3495        | 32.0  | 896  | 1.3773          | 0.2619   |
| 1.393         | 33.0  | 924  | 1.3766          | 0.2619   |
| 1.3379        | 34.0  | 952  | 1.3760          | 0.2619   |
| 1.3609        | 35.0  | 980  | 1.3754          | 0.2619   |
| 1.3521        | 36.0  | 1008 | 1.3748          | 0.2619   |
| 1.3648        | 37.0  | 1036 | 1.3744          | 0.2619   |
| 1.341         | 38.0  | 1064 | 1.3740          | 0.2619   |
| 1.3689        | 39.0  | 1092 | 1.3736          | 0.2619   |
| 1.3877        | 40.0  | 1120 | 1.3733          | 0.2619   |
| 1.4062        | 41.0  | 1148 | 1.3730          | 0.2619   |
| 1.3585        | 42.0  | 1176 | 1.3727          | 0.2619   |
| 1.3339        | 43.0  | 1204 | 1.3725          | 0.2619   |
| 1.3351        | 44.0  | 1232 | 1.3724          | 0.2619   |
| 1.3978        | 45.0  | 1260 | 1.3722          | 0.2619   |
| 1.3819        | 46.0  | 1288 | 1.3721          | 0.2619   |
| 1.3511        | 47.0  | 1316 | 1.3721          | 0.2619   |
| 1.3593        | 48.0  | 1344 | 1.3721          | 0.2619   |
| 1.3691        | 49.0  | 1372 | 1.3721          | 0.2619   |
| 1.3757        | 50.0  | 1400 | 1.3721          | 0.2619   |


### 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