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# hushem_1x_deit_base_rms_0001_fold4

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7145
- Accuracy: 0.8095

## 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    | 1.4829          | 0.2619   |
| 1.8031        | 2.0   | 12   | 2.0915          | 0.2381   |
| 1.8031        | 3.0   | 18   | 1.4809          | 0.2619   |
| 1.5525        | 4.0   | 24   | 1.5704          | 0.2381   |
| 1.3693        | 5.0   | 30   | 1.0775          | 0.5476   |
| 1.3693        | 6.0   | 36   | 1.1325          | 0.7143   |
| 1.2011        | 7.0   | 42   | 2.3370          | 0.2381   |
| 1.2011        | 8.0   | 48   | 0.7067          | 0.6667   |
| 0.8987        | 9.0   | 54   | 0.5307          | 0.7619   |
| 0.4373        | 10.0  | 60   | 1.1564          | 0.6429   |
| 0.4373        | 11.0  | 66   | 0.6814          | 0.7619   |
| 0.23          | 12.0  | 72   | 0.7840          | 0.6905   |
| 0.23          | 13.0  | 78   | 1.0320          | 0.6429   |
| 0.0568        | 14.0  | 84   | 1.3932          | 0.6667   |
| 0.0426        | 15.0  | 90   | 0.6994          | 0.7619   |
| 0.0426        | 16.0  | 96   | 0.6428          | 0.8095   |
| 0.0009        | 17.0  | 102  | 0.6585          | 0.8095   |
| 0.0009        | 18.0  | 108  | 0.6712          | 0.8095   |
| 0.0005        | 19.0  | 114  | 0.6782          | 0.8095   |
| 0.0003        | 20.0  | 120  | 0.6859          | 0.8095   |
| 0.0003        | 21.0  | 126  | 0.6888          | 0.8095   |
| 0.0003        | 22.0  | 132  | 0.6932          | 0.8095   |
| 0.0003        | 23.0  | 138  | 0.6960          | 0.8095   |
| 0.0002        | 24.0  | 144  | 0.7001          | 0.8095   |
| 0.0002        | 25.0  | 150  | 0.7019          | 0.8095   |
| 0.0002        | 26.0  | 156  | 0.7021          | 0.8095   |
| 0.0002        | 27.0  | 162  | 0.7042          | 0.8095   |
| 0.0002        | 28.0  | 168  | 0.7068          | 0.8095   |
| 0.0002        | 29.0  | 174  | 0.7077          | 0.8095   |
| 0.0002        | 30.0  | 180  | 0.7092          | 0.8095   |
| 0.0002        | 31.0  | 186  | 0.7093          | 0.8095   |
| 0.0002        | 32.0  | 192  | 0.7100          | 0.8095   |
| 0.0002        | 33.0  | 198  | 0.7106          | 0.8095   |
| 0.0001        | 34.0  | 204  | 0.7108          | 0.8095   |
| 0.0001        | 35.0  | 210  | 0.7121          | 0.8095   |
| 0.0001        | 36.0  | 216  | 0.7125          | 0.8095   |
| 0.0001        | 37.0  | 222  | 0.7133          | 0.8095   |
| 0.0001        | 38.0  | 228  | 0.7137          | 0.8095   |
| 0.0001        | 39.0  | 234  | 0.7141          | 0.8095   |
| 0.0001        | 40.0  | 240  | 0.7143          | 0.8095   |
| 0.0001        | 41.0  | 246  | 0.7145          | 0.8095   |
| 0.0001        | 42.0  | 252  | 0.7145          | 0.8095   |
| 0.0001        | 43.0  | 258  | 0.7145          | 0.8095   |
| 0.0001        | 44.0  | 264  | 0.7145          | 0.8095   |
| 0.0001        | 45.0  | 270  | 0.7145          | 0.8095   |
| 0.0001        | 46.0  | 276  | 0.7145          | 0.8095   |
| 0.0001        | 47.0  | 282  | 0.7145          | 0.8095   |
| 0.0001        | 48.0  | 288  | 0.7145          | 0.8095   |
| 0.0001        | 49.0  | 294  | 0.7145          | 0.8095   |
| 0.0001        | 50.0  | 300  | 0.7145          | 0.8095   |


### 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