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# hushem_5x_deit_tiny_rms_0001_fold3

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: 2.7509
- Accuracy: 0.6977

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5103        | 1.0   | 28   | 2.0778          | 0.2558   |
| 1.4169        | 2.0   | 56   | 1.4920          | 0.2558   |
| 1.1717        | 3.0   | 84   | 1.4368          | 0.3488   |
| 0.9912        | 4.0   | 112  | 0.9988          | 0.4651   |
| 0.8022        | 5.0   | 140  | 1.6709          | 0.3953   |
| 0.7789        | 6.0   | 168  | 0.6692          | 0.7907   |
| 0.7753        | 7.0   | 196  | 0.7299          | 0.7209   |
| 0.7094        | 8.0   | 224  | 0.9947          | 0.7209   |
| 0.5393        | 9.0   | 252  | 1.1069          | 0.6279   |
| 0.4827        | 10.0  | 280  | 1.3153          | 0.5581   |
| 0.4471        | 11.0  | 308  | 0.7571          | 0.7209   |
| 0.2911        | 12.0  | 336  | 1.0945          | 0.6977   |
| 0.2341        | 13.0  | 364  | 1.4428          | 0.7209   |
| 0.1731        | 14.0  | 392  | 1.1663          | 0.7442   |
| 0.1668        | 15.0  | 420  | 2.1058          | 0.5581   |
| 0.0808        | 16.0  | 448  | 1.5095          | 0.6977   |
| 0.0267        | 17.0  | 476  | 2.3464          | 0.5349   |
| 0.0601        | 18.0  | 504  | 1.3157          | 0.7442   |
| 0.0193        | 19.0  | 532  | 1.9786          | 0.6279   |
| 0.0007        | 20.0  | 560  | 1.8771          | 0.7209   |
| 0.0002        | 21.0  | 588  | 1.8199          | 0.6744   |
| 0.0002        | 22.0  | 616  | 2.2093          | 0.6279   |
| 0.0001        | 23.0  | 644  | 2.3026          | 0.6512   |
| 0.0           | 24.0  | 672  | 2.3149          | 0.6744   |
| 0.0           | 25.0  | 700  | 2.3349          | 0.6744   |
| 0.0           | 26.0  | 728  | 2.3579          | 0.6744   |
| 0.0           | 27.0  | 756  | 2.3790          | 0.6744   |
| 0.0           | 28.0  | 784  | 2.4090          | 0.6744   |
| 0.0           | 29.0  | 812  | 2.4324          | 0.6744   |
| 0.0           | 30.0  | 840  | 2.4483          | 0.6977   |
| 0.0           | 31.0  | 868  | 2.4871          | 0.6977   |
| 0.0           | 32.0  | 896  | 2.5064          | 0.6977   |
| 0.0           | 33.0  | 924  | 2.5268          | 0.6977   |
| 0.0           | 34.0  | 952  | 2.5458          | 0.6977   |
| 0.0           | 35.0  | 980  | 2.5702          | 0.6977   |
| 0.0           | 36.0  | 1008 | 2.5945          | 0.6977   |
| 0.0           | 37.0  | 1036 | 2.6129          | 0.6977   |
| 0.0           | 38.0  | 1064 | 2.6351          | 0.6977   |
| 0.0           | 39.0  | 1092 | 2.6496          | 0.6977   |
| 0.0           | 40.0  | 1120 | 2.6665          | 0.6977   |
| 0.0           | 41.0  | 1148 | 2.6790          | 0.6977   |
| 0.0           | 42.0  | 1176 | 2.6948          | 0.6977   |
| 0.0           | 43.0  | 1204 | 2.7095          | 0.6977   |
| 0.0           | 44.0  | 1232 | 2.7229          | 0.6977   |
| 0.0           | 45.0  | 1260 | 2.7315          | 0.6977   |
| 0.0           | 46.0  | 1288 | 2.7407          | 0.6977   |
| 0.0           | 47.0  | 1316 | 2.7476          | 0.6977   |
| 0.0           | 48.0  | 1344 | 2.7508          | 0.6977   |
| 0.0           | 49.0  | 1372 | 2.7509          | 0.6977   |
| 0.0           | 50.0  | 1400 | 2.7509          | 0.6977   |


### 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