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# hushem_1x_deit_small_rms_001_fold5

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: 1.0780
- Accuracy: 0.5854

## 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: 0.001
- 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    | 5.8408          | 0.2683   |
| 4.7719        | 2.0   | 12   | 1.7477          | 0.2683   |
| 4.7719        | 3.0   | 18   | 1.7384          | 0.2683   |
| 1.932         | 4.0   | 24   | 1.4924          | 0.2439   |
| 1.6238        | 5.0   | 30   | 1.5127          | 0.2439   |
| 1.6238        | 6.0   | 36   | 1.7015          | 0.2683   |
| 1.5494        | 7.0   | 42   | 1.5012          | 0.2439   |
| 1.5494        | 8.0   | 48   | 1.4936          | 0.2683   |
| 1.5044        | 9.0   | 54   | 1.4046          | 0.2683   |
| 1.5179        | 10.0  | 60   | 1.4005          | 0.2439   |
| 1.5179        | 11.0  | 66   | 1.4179          | 0.2683   |
| 1.475         | 12.0  | 72   | 1.4436          | 0.2439   |
| 1.475         | 13.0  | 78   | 1.6356          | 0.2439   |
| 1.4371        | 14.0  | 84   | 1.3958          | 0.2683   |
| 1.4353        | 15.0  | 90   | 1.3814          | 0.2439   |
| 1.4353        | 16.0  | 96   | 1.5489          | 0.2439   |
| 1.4229        | 17.0  | 102  | 1.4209          | 0.2439   |
| 1.4229        | 18.0  | 108  | 1.3777          | 0.2439   |
| 1.4337        | 19.0  | 114  | 1.3611          | 0.3171   |
| 1.399         | 20.0  | 120  | 1.3904          | 0.4146   |
| 1.399         | 21.0  | 126  | 1.3106          | 0.3415   |
| 1.3792        | 22.0  | 132  | 1.5271          | 0.3171   |
| 1.3792        | 23.0  | 138  | 1.4354          | 0.3171   |
| 1.353         | 24.0  | 144  | 1.2465          | 0.3171   |
| 1.3278        | 25.0  | 150  | 1.4779          | 0.2683   |
| 1.3278        | 26.0  | 156  | 1.1238          | 0.6585   |
| 1.2815        | 27.0  | 162  | 1.0700          | 0.4878   |
| 1.2815        | 28.0  | 168  | 1.4309          | 0.2927   |
| 1.2766        | 29.0  | 174  | 1.1073          | 0.5854   |
| 1.2458        | 30.0  | 180  | 1.0518          | 0.5366   |
| 1.2458        | 31.0  | 186  | 1.0678          | 0.5366   |
| 1.196         | 32.0  | 192  | 1.0365          | 0.5122   |
| 1.196         | 33.0  | 198  | 1.0762          | 0.4878   |
| 1.1298        | 34.0  | 204  | 1.1843          | 0.4390   |
| 1.1053        | 35.0  | 210  | 0.9867          | 0.5610   |
| 1.1053        | 36.0  | 216  | 0.9844          | 0.5854   |
| 1.0778        | 37.0  | 222  | 1.2314          | 0.4878   |
| 1.0778        | 38.0  | 228  | 0.9827          | 0.5854   |
| 1.0269        | 39.0  | 234  | 1.0882          | 0.5854   |
| 0.9486        | 40.0  | 240  | 1.0901          | 0.5854   |
| 0.9486        | 41.0  | 246  | 1.0899          | 0.5854   |
| 0.9443        | 42.0  | 252  | 1.0780          | 0.5854   |
| 0.9443        | 43.0  | 258  | 1.0780          | 0.5854   |
| 0.8824        | 44.0  | 264  | 1.0780          | 0.5854   |
| 0.8971        | 45.0  | 270  | 1.0780          | 0.5854   |
| 0.8971        | 46.0  | 276  | 1.0780          | 0.5854   |
| 0.8963        | 47.0  | 282  | 1.0780          | 0.5854   |
| 0.8963        | 48.0  | 288  | 1.0780          | 0.5854   |
| 0.9026        | 49.0  | 294  | 1.0780          | 0.5854   |
| 0.9008        | 50.0  | 300  | 1.0780          | 0.5854   |


### 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