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# hushem_1x_deit_small_adamax_001_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: 2.0215
- Accuracy: 0.4667

## 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    | 2.2870          | 0.2444   |
| 2.1668        | 2.0   | 12   | 1.4669          | 0.2444   |
| 2.1668        | 3.0   | 18   | 1.4980          | 0.2444   |
| 1.4102        | 4.0   | 24   | 1.4751          | 0.2444   |
| 1.4394        | 5.0   | 30   | 1.4286          | 0.2444   |
| 1.4394        | 6.0   | 36   | 1.6019          | 0.2444   |
| 1.3171        | 7.0   | 42   | 1.7291          | 0.2222   |
| 1.3171        | 8.0   | 48   | 1.5314          | 0.3556   |
| 1.2906        | 9.0   | 54   | 1.7281          | 0.2667   |
| 1.2151        | 10.0  | 60   | 1.6012          | 0.2444   |
| 1.2151        | 11.0  | 66   | 1.5621          | 0.4444   |
| 1.1016        | 12.0  | 72   | 1.5069          | 0.2      |
| 1.1016        | 13.0  | 78   | 1.5452          | 0.4222   |
| 1.1085        | 14.0  | 84   | 1.5457          | 0.2889   |
| 0.9838        | 15.0  | 90   | 1.7131          | 0.4      |
| 0.9838        | 16.0  | 96   | 1.9947          | 0.2889   |
| 1.003         | 17.0  | 102  | 1.7538          | 0.4222   |
| 1.003         | 18.0  | 108  | 1.3632          | 0.4444   |
| 0.846         | 19.0  | 114  | 1.7633          | 0.4      |
| 0.7432        | 20.0  | 120  | 1.5259          | 0.4222   |
| 0.7432        | 21.0  | 126  | 1.6982          | 0.4      |
| 0.8111        | 22.0  | 132  | 1.4722          | 0.4      |
| 0.8111        | 23.0  | 138  | 1.5772          | 0.4222   |
| 0.6268        | 24.0  | 144  | 1.6621          | 0.4222   |
| 0.5956        | 25.0  | 150  | 2.2283          | 0.4      |
| 0.5956        | 26.0  | 156  | 1.5965          | 0.4667   |
| 0.863         | 27.0  | 162  | 2.0067          | 0.4      |
| 0.863         | 28.0  | 168  | 2.2609          | 0.3778   |
| 0.575         | 29.0  | 174  | 1.7339          | 0.4222   |
| 0.3505        | 30.0  | 180  | 1.6059          | 0.3778   |
| 0.3505        | 31.0  | 186  | 1.7578          | 0.4444   |
| 0.3884        | 32.0  | 192  | 1.8785          | 0.4444   |
| 0.3884        | 33.0  | 198  | 1.5952          | 0.4222   |
| 0.3742        | 34.0  | 204  | 1.9834          | 0.4444   |
| 0.3113        | 35.0  | 210  | 1.8134          | 0.4222   |
| 0.3113        | 36.0  | 216  | 2.1491          | 0.4      |
| 0.4478        | 37.0  | 222  | 1.9419          | 0.4667   |
| 0.4478        | 38.0  | 228  | 1.8426          | 0.4444   |
| 0.1746        | 39.0  | 234  | 1.9349          | 0.4222   |
| 0.1737        | 40.0  | 240  | 2.0085          | 0.4667   |
| 0.1737        | 41.0  | 246  | 2.0238          | 0.4667   |
| 0.1448        | 42.0  | 252  | 2.0215          | 0.4667   |
| 0.1448        | 43.0  | 258  | 2.0215          | 0.4667   |
| 0.1495        | 44.0  | 264  | 2.0215          | 0.4667   |
| 0.1326        | 45.0  | 270  | 2.0215          | 0.4667   |
| 0.1326        | 46.0  | 276  | 2.0215          | 0.4667   |
| 0.1487        | 47.0  | 282  | 2.0215          | 0.4667   |
| 0.1487        | 48.0  | 288  | 2.0215          | 0.4667   |
| 0.1112        | 49.0  | 294  | 2.0215          | 0.4667   |
| 0.1501        | 50.0  | 300  | 2.0215          | 0.4667   |


### 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