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# hushem_1x_deit_small_sgd_0001_fold2

This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4641
- Accuracy: 0.2667

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 1.5104          | 0.1778   |
| 1.5321        | 2.0   | 12   | 1.5075          | 0.1778   |
| 1.5321        | 3.0   | 18   | 1.5047          | 0.1778   |
| 1.5118        | 4.0   | 24   | 1.5023          | 0.2      |
| 1.5295        | 5.0   | 30   | 1.4998          | 0.2      |
| 1.5295        | 6.0   | 36   | 1.4976          | 0.2      |
| 1.4893        | 7.0   | 42   | 1.4953          | 0.2      |
| 1.4893        | 8.0   | 48   | 1.4932          | 0.2      |
| 1.5068        | 9.0   | 54   | 1.4912          | 0.2      |
| 1.4876        | 10.0  | 60   | 1.4893          | 0.2      |
| 1.4876        | 11.0  | 66   | 1.4876          | 0.2222   |
| 1.4872        | 12.0  | 72   | 1.4858          | 0.2222   |
| 1.4872        | 13.0  | 78   | 1.4842          | 0.2444   |
| 1.482         | 14.0  | 84   | 1.4826          | 0.2444   |
| 1.4925        | 15.0  | 90   | 1.4811          | 0.2444   |
| 1.4925        | 16.0  | 96   | 1.4797          | 0.2444   |
| 1.4692        | 17.0  | 102  | 1.4783          | 0.2444   |
| 1.4692        | 18.0  | 108  | 1.4772          | 0.2444   |
| 1.4971        | 19.0  | 114  | 1.4761          | 0.2444   |
| 1.4368        | 20.0  | 120  | 1.4750          | 0.2444   |
| 1.4368        | 21.0  | 126  | 1.4740          | 0.2444   |
| 1.4645        | 22.0  | 132  | 1.4731          | 0.2444   |
| 1.4645        | 23.0  | 138  | 1.4721          | 0.2444   |
| 1.4558        | 24.0  | 144  | 1.4712          | 0.2667   |
| 1.4397        | 25.0  | 150  | 1.4705          | 0.2667   |
| 1.4397        | 26.0  | 156  | 1.4698          | 0.2667   |
| 1.4566        | 27.0  | 162  | 1.4691          | 0.2667   |
| 1.4566        | 28.0  | 168  | 1.4684          | 0.2667   |
| 1.4686        | 29.0  | 174  | 1.4678          | 0.2667   |
| 1.4549        | 30.0  | 180  | 1.4672          | 0.2667   |
| 1.4549        | 31.0  | 186  | 1.4667          | 0.2667   |
| 1.4527        | 32.0  | 192  | 1.4662          | 0.2667   |
| 1.4527        | 33.0  | 198  | 1.4658          | 0.2667   |
| 1.4549        | 34.0  | 204  | 1.4654          | 0.2667   |
| 1.4704        | 35.0  | 210  | 1.4650          | 0.2667   |
| 1.4704        | 36.0  | 216  | 1.4648          | 0.2667   |
| 1.4264        | 37.0  | 222  | 1.4646          | 0.2667   |
| 1.4264        | 38.0  | 228  | 1.4644          | 0.2667   |
| 1.4286        | 39.0  | 234  | 1.4642          | 0.2667   |
| 1.4743        | 40.0  | 240  | 1.4642          | 0.2667   |
| 1.4743        | 41.0  | 246  | 1.4641          | 0.2667   |
| 1.4713        | 42.0  | 252  | 1.4641          | 0.2667   |
| 1.4713        | 43.0  | 258  | 1.4641          | 0.2667   |
| 1.4345        | 44.0  | 264  | 1.4641          | 0.2667   |
| 1.4282        | 45.0  | 270  | 1.4641          | 0.2667   |
| 1.4282        | 46.0  | 276  | 1.4641          | 0.2667   |
| 1.4413        | 47.0  | 282  | 1.4641          | 0.2667   |
| 1.4413        | 48.0  | 288  | 1.4641          | 0.2667   |
| 1.4233        | 49.0  | 294  | 1.4641          | 0.2667   |
| 1.4542        | 50.0  | 300  | 1.4641          | 0.2667   |


### 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