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# hushem_5x_deit_base_rms_0001_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: 1.3118
- Accuracy: 0.8537

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5446        | 1.0   | 28   | 1.3850          | 0.2195   |
| 1.371         | 2.0   | 56   | 1.0037          | 0.4878   |
| 0.7358        | 3.0   | 84   | 0.5519          | 0.7561   |
| 0.2869        | 4.0   | 112  | 0.6592          | 0.7561   |
| 0.1411        | 5.0   | 140  | 0.6324          | 0.8780   |
| 0.0266        | 6.0   | 168  | 0.8126          | 0.8049   |
| 0.0011        | 7.0   | 196  | 0.7003          | 0.8537   |
| 0.0012        | 8.0   | 224  | 1.2708          | 0.8049   |
| 0.0223        | 9.0   | 252  | 0.7784          | 0.8780   |
| 0.0109        | 10.0  | 280  | 1.2289          | 0.7805   |
| 0.0002        | 11.0  | 308  | 0.9688          | 0.8537   |
| 0.03          | 12.0  | 336  | 0.8929          | 0.8537   |
| 0.0037        | 13.0  | 364  | 0.7649          | 0.8537   |
| 0.0119        | 14.0  | 392  | 0.9677          | 0.8049   |
| 0.0001        | 15.0  | 420  | 1.0107          | 0.7805   |
| 0.0001        | 16.0  | 448  | 1.0261          | 0.7805   |
| 0.0001        | 17.0  | 476  | 1.0390          | 0.7805   |
| 0.0001        | 18.0  | 504  | 1.0514          | 0.7805   |
| 0.0001        | 19.0  | 532  | 1.0626          | 0.7805   |
| 0.0           | 20.0  | 560  | 1.0741          | 0.7805   |
| 0.0           | 21.0  | 588  | 1.0847          | 0.7805   |
| 0.0           | 22.0  | 616  | 1.0958          | 0.7805   |
| 0.0           | 23.0  | 644  | 1.1069          | 0.7805   |
| 0.0           | 24.0  | 672  | 1.1169          | 0.7805   |
| 0.0           | 25.0  | 700  | 1.1262          | 0.8049   |
| 0.0           | 26.0  | 728  | 1.1359          | 0.8049   |
| 0.0           | 27.0  | 756  | 1.1455          | 0.8049   |
| 0.0           | 28.0  | 784  | 1.1554          | 0.8049   |
| 0.0           | 29.0  | 812  | 1.1647          | 0.8049   |
| 0.0           | 30.0  | 840  | 1.1746          | 0.8049   |
| 0.0           | 31.0  | 868  | 1.1846          | 0.8049   |
| 0.0           | 32.0  | 896  | 1.1951          | 0.8049   |
| 0.0           | 33.0  | 924  | 1.2053          | 0.8293   |
| 0.0           | 34.0  | 952  | 1.2145          | 0.8293   |
| 0.0           | 35.0  | 980  | 1.2243          | 0.8537   |
| 0.0           | 36.0  | 1008 | 1.2340          | 0.8537   |
| 0.0           | 37.0  | 1036 | 1.2436          | 0.8537   |
| 0.0           | 38.0  | 1064 | 1.2528          | 0.8537   |
| 0.0           | 39.0  | 1092 | 1.2615          | 0.8537   |
| 0.0           | 40.0  | 1120 | 1.2699          | 0.8537   |
| 0.0           | 41.0  | 1148 | 1.2781          | 0.8537   |
| 0.0           | 42.0  | 1176 | 1.2859          | 0.8537   |
| 0.0           | 43.0  | 1204 | 1.2920          | 0.8537   |
| 0.0           | 44.0  | 1232 | 1.2978          | 0.8537   |
| 0.0           | 45.0  | 1260 | 1.3031          | 0.8537   |
| 0.0           | 46.0  | 1288 | 1.3073          | 0.8537   |
| 0.0           | 47.0  | 1316 | 1.3103          | 0.8537   |
| 0.0           | 48.0  | 1344 | 1.3117          | 0.8537   |
| 0.0           | 49.0  | 1372 | 1.3118          | 0.8537   |
| 0.0           | 50.0  | 1400 | 1.3118          | 0.8537   |


### 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