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# hushem_40x_deit_base_adamax_0001_fold3

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: 1.0266
- Accuracy: 0.9070

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0054        | 1.0   | 217   | 0.4033          | 0.9070   |
| 0.0006        | 2.0   | 434   | 0.7216          | 0.8837   |
| 0.0001        | 3.0   | 651   | 0.6016          | 0.9070   |
| 0.0001        | 4.0   | 868   | 0.5981          | 0.9070   |
| 0.0           | 5.0   | 1085  | 0.6065          | 0.9070   |
| 0.0           | 6.0   | 1302  | 0.6108          | 0.9070   |
| 0.0           | 7.0   | 1519  | 0.6197          | 0.9070   |
| 0.0           | 8.0   | 1736  | 0.6284          | 0.9070   |
| 0.0           | 9.0   | 1953  | 0.6384          | 0.9070   |
| 0.0           | 10.0  | 2170  | 0.6478          | 0.9070   |
| 0.0           | 11.0  | 2387  | 0.6570          | 0.9070   |
| 0.0           | 12.0  | 2604  | 0.6667          | 0.9070   |
| 0.0           | 13.0  | 2821  | 0.6782          | 0.9070   |
| 0.0           | 14.0  | 3038  | 0.6908          | 0.9070   |
| 0.0           | 15.0  | 3255  | 0.6989          | 0.9070   |
| 0.0           | 16.0  | 3472  | 0.7116          | 0.9070   |
| 0.0           | 17.0  | 3689  | 0.7199          | 0.9070   |
| 0.0           | 18.0  | 3906  | 0.7341          | 0.9070   |
| 0.0           | 19.0  | 4123  | 0.7428          | 0.9070   |
| 0.0           | 20.0  | 4340  | 0.7587          | 0.9070   |
| 0.0           | 21.0  | 4557  | 0.7688          | 0.9070   |
| 0.0           | 22.0  | 4774  | 0.7786          | 0.9070   |
| 0.0           | 23.0  | 4991  | 0.7937          | 0.9070   |
| 0.0           | 24.0  | 5208  | 0.8013          | 0.9070   |
| 0.0           | 25.0  | 5425  | 0.8180          | 0.9070   |
| 0.0           | 26.0  | 5642  | 0.8297          | 0.9070   |
| 0.0           | 27.0  | 5859  | 0.8396          | 0.9070   |
| 0.0           | 28.0  | 6076  | 0.8494          | 0.9070   |
| 0.0           | 29.0  | 6293  | 0.8602          | 0.9070   |
| 0.0           | 30.0  | 6510  | 0.8755          | 0.9070   |
| 0.0           | 31.0  | 6727  | 0.8899          | 0.9070   |
| 0.0           | 32.0  | 6944  | 0.8970          | 0.9070   |
| 0.0           | 33.0  | 7161  | 0.9066          | 0.9070   |
| 0.0           | 34.0  | 7378  | 0.9206          | 0.9070   |
| 0.0           | 35.0  | 7595  | 0.9267          | 0.9070   |
| 0.0           | 36.0  | 7812  | 0.9397          | 0.9070   |
| 0.0           | 37.0  | 8029  | 0.9495          | 0.9070   |
| 0.0           | 38.0  | 8246  | 0.9575          | 0.9070   |
| 0.0           | 39.0  | 8463  | 0.9677          | 0.9070   |
| 0.0           | 40.0  | 8680  | 0.9799          | 0.9070   |
| 0.0           | 41.0  | 8897  | 0.9884          | 0.9070   |
| 0.0           | 42.0  | 9114  | 0.9997          | 0.9070   |
| 0.0           | 43.0  | 9331  | 1.0060          | 0.9070   |
| 0.0           | 44.0  | 9548  | 1.0089          | 0.9070   |
| 0.0           | 45.0  | 9765  | 1.0138          | 0.9070   |
| 0.0           | 46.0  | 9982  | 1.0186          | 0.9070   |
| 0.0           | 47.0  | 10199 | 1.0225          | 0.9070   |
| 0.0           | 48.0  | 10416 | 1.0236          | 0.9070   |
| 0.0           | 49.0  | 10633 | 1.0261          | 0.9070   |
| 0.0           | 50.0  | 10850 | 1.0266          | 0.9070   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2

01_normal 02_tapered 03_pyriform 04_amorphous