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# hushem_1x_deit_tiny_rms_lr0001_fold2

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7300
- Accuracy: 0.6889

## 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    | 3.0363          | 0.2444   |
| 2.6477        | 2.0   | 12   | 1.6954          | 0.2444   |
| 2.6477        | 3.0   | 18   | 1.4980          | 0.2444   |
| 1.482         | 4.0   | 24   | 1.3454          | 0.3556   |
| 1.4166        | 5.0   | 30   | 1.3094          | 0.4      |
| 1.4166        | 6.0   | 36   | 1.6095          | 0.2444   |
| 1.3414        | 7.0   | 42   | 1.9023          | 0.2444   |
| 1.3414        | 8.0   | 48   | 1.3957          | 0.2222   |
| 1.2396        | 9.0   | 54   | 1.1738          | 0.4      |
| 1.2068        | 10.0  | 60   | 1.2312          | 0.4889   |
| 1.2068        | 11.0  | 66   | 1.0903          | 0.6      |
| 0.9263        | 12.0  | 72   | 0.9211          | 0.5778   |
| 0.9263        | 13.0  | 78   | 1.1912          | 0.4444   |
| 0.8539        | 14.0  | 84   | 1.2631          | 0.5333   |
| 0.6672        | 15.0  | 90   | 1.2596          | 0.5111   |
| 0.6672        | 16.0  | 96   | 1.3999          | 0.4889   |
| 0.5299        | 17.0  | 102  | 1.2988          | 0.5556   |
| 0.5299        | 18.0  | 108  | 1.3328          | 0.5333   |
| 0.3853        | 19.0  | 114  | 1.0485          | 0.6222   |
| 0.332         | 20.0  | 120  | 1.1428          | 0.5778   |
| 0.332         | 21.0  | 126  | 1.0486          | 0.6444   |
| 0.1829        | 22.0  | 132  | 1.0866          | 0.6667   |
| 0.1829        | 23.0  | 138  | 1.7727          | 0.5778   |
| 0.111         | 24.0  | 144  | 1.2950          | 0.6889   |
| 0.0444        | 25.0  | 150  | 1.4579          | 0.7111   |
| 0.0444        | 26.0  | 156  | 1.4269          | 0.6889   |
| 0.0017        | 27.0  | 162  | 1.4804          | 0.6889   |
| 0.0017        | 28.0  | 168  | 1.5281          | 0.6889   |
| 0.0007        | 29.0  | 174  | 1.5658          | 0.6667   |
| 0.0005        | 30.0  | 180  | 1.5943          | 0.6667   |
| 0.0005        | 31.0  | 186  | 1.6212          | 0.6667   |
| 0.0004        | 32.0  | 192  | 1.6444          | 0.6667   |
| 0.0004        | 33.0  | 198  | 1.6608          | 0.6667   |
| 0.0003        | 34.0  | 204  | 1.6759          | 0.6667   |
| 0.0003        | 35.0  | 210  | 1.6896          | 0.6667   |
| 0.0003        | 36.0  | 216  | 1.7018          | 0.6667   |
| 0.0003        | 37.0  | 222  | 1.7108          | 0.6889   |
| 0.0003        | 38.0  | 228  | 1.7185          | 0.6889   |
| 0.0003        | 39.0  | 234  | 1.7237          | 0.6889   |
| 0.0002        | 40.0  | 240  | 1.7275          | 0.6889   |
| 0.0002        | 41.0  | 246  | 1.7295          | 0.6889   |
| 0.0003        | 42.0  | 252  | 1.7300          | 0.6889   |
| 0.0003        | 43.0  | 258  | 1.7300          | 0.6889   |
| 0.0002        | 44.0  | 264  | 1.7300          | 0.6889   |
| 0.0002        | 45.0  | 270  | 1.7300          | 0.6889   |
| 0.0002        | 46.0  | 276  | 1.7300          | 0.6889   |
| 0.0002        | 47.0  | 282  | 1.7300          | 0.6889   |
| 0.0002        | 48.0  | 288  | 1.7300          | 0.6889   |
| 0.0002        | 49.0  | 294  | 1.7300          | 0.6889   |
| 0.0002        | 50.0  | 300  | 1.7300          | 0.6889   |


### 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