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# hushem_40x_deit_base_n_f5

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: 0.4453
- 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0209        | 1.0   | 110  | 0.5124          | 0.8049   |
| 0.0043        | 2.0   | 220  | 0.6220          | 0.8049   |
| 0.0003        | 3.0   | 330  | 0.5631          | 0.8293   |
| 0.0001        | 4.0   | 440  | 0.6476          | 0.8049   |
| 0.0001        | 5.0   | 550  | 0.4557          | 0.8293   |
| 0.0001        | 6.0   | 660  | 0.5177          | 0.8780   |
| 0.0001        | 7.0   | 770  | 0.4360          | 0.8780   |
| 0.0           | 8.0   | 880  | 0.4399          | 0.8780   |
| 0.0           | 9.0   | 990  | 0.4439          | 0.8537   |
| 0.0           | 10.0  | 1100 | 0.4453          | 0.8537   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

01_normal 02_tapered 03_pyriform 04_amorphous