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# hushem_1x_deit_base_sgd_001_fold5

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: 1.3053
- Accuracy: 0.3902

## 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    | 1.3696          | 0.1951   |
| 1.4452        | 2.0   | 12   | 1.3651          | 0.1951   |
| 1.4452        | 3.0   | 18   | 1.3609          | 0.1951   |
| 1.4223        | 4.0   | 24   | 1.3571          | 0.2439   |
| 1.4169        | 5.0   | 30   | 1.3535          | 0.2683   |
| 1.4169        | 6.0   | 36   | 1.3500          | 0.2683   |
| 1.3958        | 7.0   | 42   | 1.3468          | 0.2927   |
| 1.3958        | 8.0   | 48   | 1.3440          | 0.2927   |
| 1.4015        | 9.0   | 54   | 1.3412          | 0.3171   |
| 1.3839        | 10.0  | 60   | 1.3385          | 0.3171   |
| 1.3839        | 11.0  | 66   | 1.3363          | 0.3171   |
| 1.3741        | 12.0  | 72   | 1.3340          | 0.3171   |
| 1.3741        | 13.0  | 78   | 1.3317          | 0.3171   |
| 1.3638        | 14.0  | 84   | 1.3297          | 0.3171   |
| 1.3638        | 15.0  | 90   | 1.3277          | 0.3415   |
| 1.3638        | 16.0  | 96   | 1.3263          | 0.3415   |
| 1.3489        | 17.0  | 102  | 1.3246          | 0.3659   |
| 1.3489        | 18.0  | 108  | 1.3230          | 0.3659   |
| 1.3469        | 19.0  | 114  | 1.3214          | 0.3902   |
| 1.3356        | 20.0  | 120  | 1.3200          | 0.3902   |
| 1.3356        | 21.0  | 126  | 1.3187          | 0.3902   |
| 1.3412        | 22.0  | 132  | 1.3174          | 0.3902   |
| 1.3412        | 23.0  | 138  | 1.3162          | 0.3902   |
| 1.3294        | 24.0  | 144  | 1.3151          | 0.3902   |
| 1.3266        | 25.0  | 150  | 1.3139          | 0.3659   |
| 1.3266        | 26.0  | 156  | 1.3128          | 0.3659   |
| 1.3206        | 27.0  | 162  | 1.3119          | 0.3659   |
| 1.3206        | 28.0  | 168  | 1.3110          | 0.3659   |
| 1.3159        | 29.0  | 174  | 1.3102          | 0.3659   |
| 1.325         | 30.0  | 180  | 1.3096          | 0.3659   |
| 1.325         | 31.0  | 186  | 1.3089          | 0.3902   |
| 1.3129        | 32.0  | 192  | 1.3082          | 0.3902   |
| 1.3129        | 33.0  | 198  | 1.3077          | 0.3902   |
| 1.3071        | 34.0  | 204  | 1.3071          | 0.3902   |
| 1.315         | 35.0  | 210  | 1.3067          | 0.3902   |
| 1.315         | 36.0  | 216  | 1.3063          | 0.3902   |
| 1.3109        | 37.0  | 222  | 1.3060          | 0.3902   |
| 1.3109        | 38.0  | 228  | 1.3057          | 0.3902   |
| 1.2941        | 39.0  | 234  | 1.3055          | 0.3902   |
| 1.3144        | 40.0  | 240  | 1.3054          | 0.3902   |
| 1.3144        | 41.0  | 246  | 1.3053          | 0.3902   |
| 1.3008        | 42.0  | 252  | 1.3053          | 0.3902   |
| 1.3008        | 43.0  | 258  | 1.3053          | 0.3902   |
| 1.3092        | 44.0  | 264  | 1.3053          | 0.3902   |
| 1.297         | 45.0  | 270  | 1.3053          | 0.3902   |
| 1.297         | 46.0  | 276  | 1.3053          | 0.3902   |
| 1.2978        | 47.0  | 282  | 1.3053          | 0.3902   |
| 1.2978        | 48.0  | 288  | 1.3053          | 0.3902   |
| 1.3087        | 49.0  | 294  | 1.3053          | 0.3902   |
| 1.3046        | 50.0  | 300  | 1.3053          | 0.3902   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0

01_normal 02_tapered 03_pyriform 04_amorphous