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# hushem_1x_deit_small_rms_001_fold2

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: 1.2524
- Accuracy: 0.4

## 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    | 7.5665          | 0.2444   |
| 4.6598        | 2.0   | 12   | 1.8034          | 0.2444   |
| 4.6598        | 3.0   | 18   | 1.7719          | 0.2444   |
| 1.754         | 4.0   | 24   | 1.5619          | 0.2667   |
| 1.5561        | 5.0   | 30   | 1.5155          | 0.2444   |
| 1.5561        | 6.0   | 36   | 1.5905          | 0.2444   |
| 1.5161        | 7.0   | 42   | 1.4606          | 0.2444   |
| 1.5161        | 8.0   | 48   | 1.5057          | 0.2667   |
| 1.4837        | 9.0   | 54   | 1.4997          | 0.2444   |
| 1.456         | 10.0  | 60   | 1.4411          | 0.2444   |
| 1.456         | 11.0  | 66   | 1.4980          | 0.2667   |
| 1.4256        | 12.0  | 72   | 1.4097          | 0.2444   |
| 1.4256        | 13.0  | 78   | 1.4518          | 0.2667   |
| 1.4488        | 14.0  | 84   | 1.3937          | 0.2667   |
| 1.4354        | 15.0  | 90   | 1.4044          | 0.2444   |
| 1.4354        | 16.0  | 96   | 1.3767          | 0.2667   |
| 1.4383        | 17.0  | 102  | 1.4222          | 0.2444   |
| 1.4383        | 18.0  | 108  | 1.4806          | 0.2444   |
| 1.4107        | 19.0  | 114  | 1.4789          | 0.2444   |
| 1.3761        | 20.0  | 120  | 1.2485          | 0.4444   |
| 1.3761        | 21.0  | 126  | 1.3600          | 0.2667   |
| 1.3385        | 22.0  | 132  | 1.4500          | 0.4      |
| 1.3385        | 23.0  | 138  | 1.3814          | 0.3778   |
| 1.3465        | 24.0  | 144  | 1.4692          | 0.2667   |
| 1.323         | 25.0  | 150  | 1.1674          | 0.4667   |
| 1.323         | 26.0  | 156  | 1.3636          | 0.2889   |
| 1.2871        | 27.0  | 162  | 1.3963          | 0.4      |
| 1.2871        | 28.0  | 168  | 1.3023          | 0.4444   |
| 1.1938        | 29.0  | 174  | 1.2034          | 0.4222   |
| 1.2252        | 30.0  | 180  | 1.2237          | 0.4444   |
| 1.2252        | 31.0  | 186  | 1.2906          | 0.4      |
| 1.2127        | 32.0  | 192  | 1.2853          | 0.4      |
| 1.2127        | 33.0  | 198  | 1.3006          | 0.3556   |
| 1.131         | 34.0  | 204  | 1.3803          | 0.2889   |
| 1.1689        | 35.0  | 210  | 1.2981          | 0.3556   |
| 1.1689        | 36.0  | 216  | 1.4728          | 0.2889   |
| 1.1285        | 37.0  | 222  | 1.3455          | 0.3333   |
| 1.1285        | 38.0  | 228  | 1.2593          | 0.4      |
| 1.0174        | 39.0  | 234  | 1.2539          | 0.3556   |
| 1.0651        | 40.0  | 240  | 1.2296          | 0.4      |
| 1.0651        | 41.0  | 246  | 1.2510          | 0.3778   |
| 1.0297        | 42.0  | 252  | 1.2524          | 0.4      |
| 1.0297        | 43.0  | 258  | 1.2524          | 0.4      |
| 0.9982        | 44.0  | 264  | 1.2524          | 0.4      |
| 1.047         | 45.0  | 270  | 1.2524          | 0.4      |
| 1.047         | 46.0  | 276  | 1.2524          | 0.4      |
| 0.9969        | 47.0  | 282  | 1.2524          | 0.4      |
| 0.9969        | 48.0  | 288  | 1.2524          | 0.4      |
| 1.0686        | 49.0  | 294  | 1.2524          | 0.4      |
| 1.0034        | 50.0  | 300  | 1.2524          | 0.4      |


### 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