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# hushem_1x_deit_small_rms_0001_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: 1.6051
- Accuracy: 0.6279

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.6050          | 0.2326   |
| 1.8871        | 2.0   | 12   | 1.6526          | 0.2558   |
| 1.8871        | 3.0   | 18   | 1.5125          | 0.3488   |
| 1.4752        | 4.0   | 24   | 1.4964          | 0.2558   |
| 1.4078        | 5.0   | 30   | 1.4513          | 0.2558   |
| 1.4078        | 6.0   | 36   | 1.3471          | 0.2791   |
| 1.2466        | 7.0   | 42   | 1.9402          | 0.3023   |
| 1.2466        | 8.0   | 48   | 1.3364          | 0.3953   |
| 1.2272        | 9.0   | 54   | 1.3189          | 0.3721   |
| 1.0035        | 10.0  | 60   | 1.3183          | 0.4186   |
| 1.0035        | 11.0  | 66   | 1.1773          | 0.4419   |
| 0.7718        | 12.0  | 72   | 1.0313          | 0.5814   |
| 0.7718        | 13.0  | 78   | 1.0831          | 0.6279   |
| 0.4478        | 14.0  | 84   | 1.4838          | 0.5814   |
| 0.14          | 15.0  | 90   | 1.1904          | 0.6744   |
| 0.14          | 16.0  | 96   | 1.2473          | 0.6512   |
| 0.0804        | 17.0  | 102  | 1.4013          | 0.6977   |
| 0.0804        | 18.0  | 108  | 1.4032          | 0.6512   |
| 0.0101        | 19.0  | 114  | 1.4918          | 0.6977   |
| 0.0016        | 20.0  | 120  | 1.4874          | 0.6279   |
| 0.0016        | 21.0  | 126  | 1.4977          | 0.6279   |
| 0.0007        | 22.0  | 132  | 1.5076          | 0.6279   |
| 0.0007        | 23.0  | 138  | 1.5163          | 0.6512   |
| 0.0006        | 24.0  | 144  | 1.5254          | 0.6512   |
| 0.0005        | 25.0  | 150  | 1.5330          | 0.6512   |
| 0.0005        | 26.0  | 156  | 1.5401          | 0.6512   |
| 0.0004        | 27.0  | 162  | 1.5491          | 0.6279   |
| 0.0004        | 28.0  | 168  | 1.5572          | 0.6279   |
| 0.0004        | 29.0  | 174  | 1.5632          | 0.6279   |
| 0.0003        | 30.0  | 180  | 1.5688          | 0.6279   |
| 0.0003        | 31.0  | 186  | 1.5748          | 0.6279   |
| 0.0003        | 32.0  | 192  | 1.5796          | 0.6279   |
| 0.0003        | 33.0  | 198  | 1.5848          | 0.6279   |
| 0.0003        | 34.0  | 204  | 1.5896          | 0.6279   |
| 0.0003        | 35.0  | 210  | 1.5928          | 0.6279   |
| 0.0003        | 36.0  | 216  | 1.5963          | 0.6279   |
| 0.0003        | 37.0  | 222  | 1.5989          | 0.6279   |
| 0.0003        | 38.0  | 228  | 1.6012          | 0.6279   |
| 0.0003        | 39.0  | 234  | 1.6030          | 0.6279   |
| 0.0002        | 40.0  | 240  | 1.6043          | 0.6279   |
| 0.0002        | 41.0  | 246  | 1.6049          | 0.6279   |
| 0.0002        | 42.0  | 252  | 1.6051          | 0.6279   |
| 0.0002        | 43.0  | 258  | 1.6051          | 0.6279   |
| 0.0002        | 44.0  | 264  | 1.6051          | 0.6279   |
| 0.0002        | 45.0  | 270  | 1.6051          | 0.6279   |
| 0.0002        | 46.0  | 276  | 1.6051          | 0.6279   |
| 0.0002        | 47.0  | 282  | 1.6051          | 0.6279   |
| 0.0002        | 48.0  | 288  | 1.6051          | 0.6279   |
| 0.0002        | 49.0  | 294  | 1.6051          | 0.6279   |
| 0.0002        | 50.0  | 300  | 1.6051          | 0.6279   |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1

01_normal 02_tapered 03_pyriform 04_amorphous