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# hushem_5x_deit_base_rms_001_fold5

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: 1.2940
- Accuracy: 0.5854

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0528        | 1.0   | 28   | 1.6638          | 0.2439   |
| 2.1954        | 2.0   | 56   | 1.6116          | 0.2683   |
| 1.4589        | 3.0   | 84   | 1.6021          | 0.2439   |
| 1.4648        | 4.0   | 112  | 1.4451          | 0.2683   |
| 1.4497        | 5.0   | 140  | 1.3901          | 0.2439   |
| 1.4165        | 6.0   | 168  | 1.4163          | 0.2439   |
| 1.4042        | 7.0   | 196  | 1.3708          | 0.2683   |
| 1.3986        | 8.0   | 224  | 1.3521          | 0.2439   |
| 1.3922        | 9.0   | 252  | 1.4093          | 0.2683   |
| 1.3903        | 10.0  | 280  | 1.3796          | 0.2439   |
| 1.3847        | 11.0  | 308  | 1.3712          | 0.2927   |
| 1.3856        | 12.0  | 336  | 1.3741          | 0.2683   |
| 1.3879        | 13.0  | 364  | 1.3864          | 0.2439   |
| 1.4048        | 14.0  | 392  | 1.3821          | 0.2439   |
| 1.3784        | 15.0  | 420  | 1.4058          | 0.2439   |
| 1.3575        | 16.0  | 448  | 1.4588          | 0.2683   |
| 1.3938        | 17.0  | 476  | 1.2769          | 0.5122   |
| 1.27          | 18.0  | 504  | 1.3680          | 0.4146   |
| 1.232         | 19.0  | 532  | 1.1716          | 0.4634   |
| 1.1874        | 20.0  | 560  | 1.1062          | 0.4634   |
| 1.0921        | 21.0  | 588  | 1.0755          | 0.5610   |
| 1.1029        | 22.0  | 616  | 1.0844          | 0.4390   |
| 1.1294        | 23.0  | 644  | 1.0912          | 0.5366   |
| 1.0992        | 24.0  | 672  | 1.0400          | 0.4878   |
| 1.0874        | 25.0  | 700  | 1.0705          | 0.5122   |
| 0.9728        | 26.0  | 728  | 1.1880          | 0.4390   |
| 0.9971        | 27.0  | 756  | 1.1807          | 0.4634   |
| 1.005         | 28.0  | 784  | 0.9032          | 0.6829   |
| 0.928         | 29.0  | 812  | 1.0273          | 0.5854   |
| 0.9395        | 30.0  | 840  | 1.2980          | 0.4634   |
| 0.875         | 31.0  | 868  | 0.8762          | 0.6098   |
| 0.887         | 32.0  | 896  | 0.9891          | 0.6341   |
| 0.8468        | 33.0  | 924  | 1.3306          | 0.4878   |
| 0.8424        | 34.0  | 952  | 0.9750          | 0.6341   |
| 0.7715        | 35.0  | 980  | 1.2537          | 0.5366   |
| 0.8458        | 36.0  | 1008 | 0.8578          | 0.5854   |
| 0.7135        | 37.0  | 1036 | 1.2126          | 0.5610   |
| 0.7783        | 38.0  | 1064 | 0.7679          | 0.6341   |
| 0.7578        | 39.0  | 1092 | 1.3015          | 0.5122   |
| 0.623         | 40.0  | 1120 | 1.0403          | 0.5854   |
| 0.7075        | 41.0  | 1148 | 0.9189          | 0.5610   |
| 0.5472        | 42.0  | 1176 | 1.2393          | 0.5854   |
| 0.5702        | 43.0  | 1204 | 1.2040          | 0.6341   |
| 0.5903        | 44.0  | 1232 | 1.1434          | 0.6098   |
| 0.5358        | 45.0  | 1260 | 1.2053          | 0.6341   |
| 0.5084        | 46.0  | 1288 | 1.2921          | 0.5854   |
| 0.447         | 47.0  | 1316 | 1.3169          | 0.6098   |
| 0.428         | 48.0  | 1344 | 1.2879          | 0.5854   |
| 0.4216        | 49.0  | 1372 | 1.2940          | 0.5854   |
| 0.4434        | 50.0  | 1400 | 1.2940          | 0.5854   |


### 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