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# hushem_5x_deit_small_sgd_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: 1.5763
- Accuracy: 0.2093

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5114        | 1.0   | 28   | 1.6002          | 0.1860   |
| 1.516         | 2.0   | 56   | 1.5991          | 0.2093   |
| 1.448         | 3.0   | 84   | 1.5981          | 0.2093   |
| 1.5009        | 4.0   | 112  | 1.5971          | 0.2093   |
| 1.646         | 5.0   | 140  | 1.5960          | 0.2093   |
| 1.55          | 6.0   | 168  | 1.5950          | 0.2093   |
| 1.5383        | 7.0   | 196  | 1.5941          | 0.2093   |
| 1.4892        | 8.0   | 224  | 1.5932          | 0.2093   |
| 1.5021        | 9.0   | 252  | 1.5922          | 0.2093   |
| 1.5057        | 10.0  | 280  | 1.5913          | 0.2093   |
| 1.5326        | 11.0  | 308  | 1.5905          | 0.2093   |
| 1.5462        | 12.0  | 336  | 1.5897          | 0.2093   |
| 1.5032        | 13.0  | 364  | 1.5889          | 0.2093   |
| 1.4978        | 14.0  | 392  | 1.5881          | 0.2093   |
| 1.4757        | 15.0  | 420  | 1.5874          | 0.2093   |
| 1.4813        | 16.0  | 448  | 1.5867          | 0.2093   |
| 1.4635        | 17.0  | 476  | 1.5860          | 0.2093   |
| 1.511         | 18.0  | 504  | 1.5853          | 0.2093   |
| 1.4905        | 19.0  | 532  | 1.5847          | 0.2093   |
| 1.4302        | 20.0  | 560  | 1.5841          | 0.2093   |
| 1.5108        | 21.0  | 588  | 1.5835          | 0.2093   |
| 1.504         | 22.0  | 616  | 1.5829          | 0.2093   |
| 1.4924        | 23.0  | 644  | 1.5824          | 0.2093   |
| 1.5112        | 24.0  | 672  | 1.5819          | 0.2093   |
| 1.5256        | 25.0  | 700  | 1.5814          | 0.2093   |
| 1.4493        | 26.0  | 728  | 1.5809          | 0.2093   |
| 1.4989        | 27.0  | 756  | 1.5805          | 0.2093   |
| 1.5477        | 28.0  | 784  | 1.5801          | 0.2093   |
| 1.5116        | 29.0  | 812  | 1.5797          | 0.2093   |
| 1.4275        | 30.0  | 840  | 1.5793          | 0.2093   |
| 1.453         | 31.0  | 868  | 1.5790          | 0.2093   |
| 1.524         | 32.0  | 896  | 1.5786          | 0.2093   |
| 1.5026        | 33.0  | 924  | 1.5783          | 0.2093   |
| 1.4458        | 34.0  | 952  | 1.5780          | 0.2093   |
| 1.4708        | 35.0  | 980  | 1.5778          | 0.2093   |
| 1.5117        | 36.0  | 1008 | 1.5776          | 0.2093   |
| 1.5594        | 37.0  | 1036 | 1.5773          | 0.2093   |
| 1.5028        | 38.0  | 1064 | 1.5771          | 0.2093   |
| 1.4691        | 39.0  | 1092 | 1.5770          | 0.2093   |
| 1.5214        | 40.0  | 1120 | 1.5768          | 0.2093   |
| 1.5285        | 41.0  | 1148 | 1.5767          | 0.2093   |
| 1.4667        | 42.0  | 1176 | 1.5766          | 0.2093   |
| 1.4652        | 43.0  | 1204 | 1.5765          | 0.2093   |
| 1.4952        | 44.0  | 1232 | 1.5765          | 0.2093   |
| 1.4825        | 45.0  | 1260 | 1.5764          | 0.2093   |
| 1.4816        | 46.0  | 1288 | 1.5764          | 0.2093   |
| 1.4911        | 47.0  | 1316 | 1.5764          | 0.2093   |
| 1.5027        | 48.0  | 1344 | 1.5763          | 0.2093   |
| 1.4424        | 49.0  | 1372 | 1.5763          | 0.2093   |
| 1.4881        | 50.0  | 1400 | 1.5763          | 0.2093   |


### 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