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# hushem_1x_deit_base_rms_00001_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: 0.1646
- Accuracy: 0.9524

## 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: 1e-05
- 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    | 1.2420          | 0.5476   |
| 1.2334        | 2.0   | 12   | 1.0719          | 0.4762   |
| 1.2334        | 3.0   | 18   | 0.5624          | 0.8333   |
| 0.5394        | 4.0   | 24   | 0.4815          | 0.8333   |
| 0.1826        | 5.0   | 30   | 0.4341          | 0.8333   |
| 0.1826        | 6.0   | 36   | 0.3198          | 0.9286   |
| 0.0424        | 7.0   | 42   | 0.2589          | 0.9286   |
| 0.0424        | 8.0   | 48   | 0.2146          | 0.9286   |
| 0.0113        | 9.0   | 54   | 0.1989          | 0.9286   |
| 0.0057        | 10.0  | 60   | 0.1966          | 0.9286   |
| 0.0057        | 11.0  | 66   | 0.1888          | 0.9286   |
| 0.004         | 12.0  | 72   | 0.1874          | 0.9286   |
| 0.004         | 13.0  | 78   | 0.1826          | 0.9286   |
| 0.0032        | 14.0  | 84   | 0.1800          | 0.9524   |
| 0.0027        | 15.0  | 90   | 0.1793          | 0.9524   |
| 0.0027        | 16.0  | 96   | 0.1777          | 0.9524   |
| 0.0022        | 17.0  | 102  | 0.1759          | 0.9524   |
| 0.0022        | 18.0  | 108  | 0.1747          | 0.9524   |
| 0.002         | 19.0  | 114  | 0.1746          | 0.9524   |
| 0.0018        | 20.0  | 120  | 0.1735          | 0.9524   |
| 0.0018        | 21.0  | 126  | 0.1728          | 0.9524   |
| 0.0015        | 22.0  | 132  | 0.1728          | 0.9524   |
| 0.0015        | 23.0  | 138  | 0.1714          | 0.9524   |
| 0.0014        | 24.0  | 144  | 0.1703          | 0.9524   |
| 0.0013        | 25.0  | 150  | 0.1698          | 0.9524   |
| 0.0013        | 26.0  | 156  | 0.1687          | 0.9524   |
| 0.0012        | 27.0  | 162  | 0.1685          | 0.9524   |
| 0.0012        | 28.0  | 168  | 0.1678          | 0.9524   |
| 0.0011        | 29.0  | 174  | 0.1675          | 0.9524   |
| 0.001         | 30.0  | 180  | 0.1677          | 0.9524   |
| 0.001         | 31.0  | 186  | 0.1670          | 0.9524   |
| 0.001         | 32.0  | 192  | 0.1667          | 0.9524   |
| 0.001         | 33.0  | 198  | 0.1661          | 0.9524   |
| 0.001         | 34.0  | 204  | 0.1660          | 0.9524   |
| 0.0009        | 35.0  | 210  | 0.1655          | 0.9524   |
| 0.0009        | 36.0  | 216  | 0.1652          | 0.9524   |
| 0.0009        | 37.0  | 222  | 0.1650          | 0.9524   |
| 0.0009        | 38.0  | 228  | 0.1648          | 0.9524   |
| 0.0009        | 39.0  | 234  | 0.1647          | 0.9524   |
| 0.0009        | 40.0  | 240  | 0.1647          | 0.9524   |
| 0.0009        | 41.0  | 246  | 0.1646          | 0.9524   |
| 0.0009        | 42.0  | 252  | 0.1646          | 0.9524   |
| 0.0009        | 43.0  | 258  | 0.1646          | 0.9524   |
| 0.0008        | 44.0  | 264  | 0.1646          | 0.9524   |
| 0.0009        | 45.0  | 270  | 0.1646          | 0.9524   |
| 0.0009        | 46.0  | 276  | 0.1646          | 0.9524   |
| 0.0008        | 47.0  | 282  | 0.1646          | 0.9524   |
| 0.0008        | 48.0  | 288  | 0.1646          | 0.9524   |
| 0.0008        | 49.0  | 294  | 0.1646          | 0.9524   |
| 0.0009        | 50.0  | 300  | 0.1646          | 0.9524   |


### 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