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# hushem_1x_deit_small_sgd_001_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: 1.3002
- 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.4504          | 0.2857   |
| 1.4996        | 2.0   | 12   | 1.4256          | 0.2619   |
| 1.4996        | 3.0   | 18   | 1.4065          | 0.3095   |
| 1.4661        | 4.0   | 24   | 1.3909          | 0.3333   |
| 1.4137        | 5.0   | 30   | 1.3815          | 0.3333   |
| 1.4137        | 6.0   | 36   | 1.3736          | 0.3810   |
| 1.3923        | 7.0   | 42   | 1.3662          | 0.3571   |
| 1.3923        | 8.0   | 48   | 1.3602          | 0.3095   |
| 1.3511        | 9.0   | 54   | 1.3552          | 0.3333   |
| 1.3471        | 10.0  | 60   | 1.3505          | 0.3333   |
| 1.3471        | 11.0  | 66   | 1.3464          | 0.3333   |
| 1.3212        | 12.0  | 72   | 1.3425          | 0.3333   |
| 1.3212        | 13.0  | 78   | 1.3391          | 0.3333   |
| 1.3151        | 14.0  | 84   | 1.3358          | 0.3333   |
| 1.2949        | 15.0  | 90   | 1.3328          | 0.3333   |
| 1.2949        | 16.0  | 96   | 1.3296          | 0.3333   |
| 1.282         | 17.0  | 102  | 1.3270          | 0.3333   |
| 1.282         | 18.0  | 108  | 1.3243          | 0.3333   |
| 1.2637        | 19.0  | 114  | 1.3223          | 0.3333   |
| 1.2828        | 20.0  | 120  | 1.3203          | 0.3333   |
| 1.2828        | 21.0  | 126  | 1.3182          | 0.3333   |
| 1.2384        | 22.0  | 132  | 1.3165          | 0.3333   |
| 1.2384        | 23.0  | 138  | 1.3149          | 0.3333   |
| 1.2419        | 24.0  | 144  | 1.3133          | 0.3333   |
| 1.2404        | 25.0  | 150  | 1.3117          | 0.3571   |
| 1.2404        | 26.0  | 156  | 1.3102          | 0.3571   |
| 1.2294        | 27.0  | 162  | 1.3091          | 0.3571   |
| 1.2294        | 28.0  | 168  | 1.3080          | 0.3571   |
| 1.2327        | 29.0  | 174  | 1.3070          | 0.3571   |
| 1.2115        | 30.0  | 180  | 1.3061          | 0.3571   |
| 1.2115        | 31.0  | 186  | 1.3052          | 0.3333   |
| 1.2091        | 32.0  | 192  | 1.3043          | 0.3333   |
| 1.2091        | 33.0  | 198  | 1.3036          | 0.3333   |
| 1.2111        | 34.0  | 204  | 1.3028          | 0.3333   |
| 1.2001        | 35.0  | 210  | 1.3022          | 0.3333   |
| 1.2001        | 36.0  | 216  | 1.3016          | 0.3333   |
| 1.2048        | 37.0  | 222  | 1.3012          | 0.3333   |
| 1.2048        | 38.0  | 228  | 1.3009          | 0.3333   |
| 1.1981        | 39.0  | 234  | 1.3006          | 0.3333   |
| 1.1973        | 40.0  | 240  | 1.3004          | 0.3333   |
| 1.1973        | 41.0  | 246  | 1.3003          | 0.3333   |
| 1.2009        | 42.0  | 252  | 1.3002          | 0.3333   |
| 1.2009        | 43.0  | 258  | 1.3002          | 0.3333   |
| 1.1848        | 44.0  | 264  | 1.3002          | 0.3333   |
| 1.2           | 45.0  | 270  | 1.3002          | 0.3333   |
| 1.2           | 46.0  | 276  | 1.3002          | 0.3333   |
| 1.2026        | 47.0  | 282  | 1.3002          | 0.3333   |
| 1.2026        | 48.0  | 288  | 1.3002          | 0.3333   |
| 1.1883        | 49.0  | 294  | 1.3002          | 0.3333   |
| 1.2097        | 50.0  | 300  | 1.3002          | 0.3333   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

01_normal 02_tapered 03_pyriform 04_amorphous