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# hushem_5x_deit_base_sgd_001_fold1

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: 1.2935
- Accuracy: 0.4222

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3985        | 1.0   | 27   | 1.4731          | 0.2444   |
| 1.3797        | 2.0   | 54   | 1.4540          | 0.2667   |
| 1.3671        | 3.0   | 81   | 1.4399          | 0.3333   |
| 1.3529        | 4.0   | 108  | 1.4301          | 0.3333   |
| 1.3075        | 5.0   | 135  | 1.4206          | 0.3778   |
| 1.3006        | 6.0   | 162  | 1.4113          | 0.3778   |
| 1.2955        | 7.0   | 189  | 1.4036          | 0.3778   |
| 1.2684        | 8.0   | 216  | 1.3964          | 0.4      |
| 1.2547        | 9.0   | 243  | 1.3899          | 0.4      |
| 1.2309        | 10.0  | 270  | 1.3835          | 0.4      |
| 1.2188        | 11.0  | 297  | 1.3776          | 0.3778   |
| 1.1974        | 12.0  | 324  | 1.3722          | 0.3778   |
| 1.1972        | 13.0  | 351  | 1.3669          | 0.4      |
| 1.1775        | 14.0  | 378  | 1.3615          | 0.3778   |
| 1.1771        | 15.0  | 405  | 1.3571          | 0.3778   |
| 1.1595        | 16.0  | 432  | 1.3529          | 0.3778   |
| 1.11          | 17.0  | 459  | 1.3491          | 0.4      |
| 1.116         | 18.0  | 486  | 1.3456          | 0.4      |
| 1.0955        | 19.0  | 513  | 1.3420          | 0.4      |
| 1.0866        | 20.0  | 540  | 1.3386          | 0.4      |
| 1.0678        | 21.0  | 567  | 1.3355          | 0.4      |
| 1.0655        | 22.0  | 594  | 1.3327          | 0.4      |
| 1.0356        | 23.0  | 621  | 1.3298          | 0.4      |
| 1.0185        | 24.0  | 648  | 1.3265          | 0.3778   |
| 1.0437        | 25.0  | 675  | 1.3237          | 0.4      |
| 1.0442        | 26.0  | 702  | 1.3211          | 0.3778   |
| 1.028         | 27.0  | 729  | 1.3185          | 0.3778   |
| 1.0044        | 28.0  | 756  | 1.3165          | 0.3778   |
| 1.002         | 29.0  | 783  | 1.3148          | 0.4      |
| 0.9934        | 30.0  | 810  | 1.3131          | 0.4      |
| 0.9758        | 31.0  | 837  | 1.3109          | 0.4      |
| 0.9861        | 32.0  | 864  | 1.3087          | 0.4      |
| 0.9889        | 33.0  | 891  | 1.3069          | 0.4      |
| 0.9637        | 34.0  | 918  | 1.3052          | 0.4      |
| 0.9733        | 35.0  | 945  | 1.3034          | 0.4      |
| 0.9304        | 36.0  | 972  | 1.3021          | 0.4222   |
| 0.9586        | 37.0  | 999  | 1.3007          | 0.4222   |
| 0.9329        | 38.0  | 1026 | 1.2994          | 0.4222   |
| 0.918         | 39.0  | 1053 | 1.2983          | 0.4222   |
| 0.9142        | 40.0  | 1080 | 1.2972          | 0.4222   |
| 0.9236        | 41.0  | 1107 | 1.2963          | 0.4222   |
| 0.929         | 42.0  | 1134 | 1.2957          | 0.4222   |
| 0.9525        | 43.0  | 1161 | 1.2951          | 0.4222   |
| 0.8934        | 44.0  | 1188 | 1.2944          | 0.4222   |
| 0.9348        | 45.0  | 1215 | 1.2941          | 0.4222   |
| 0.9068        | 46.0  | 1242 | 1.2937          | 0.4222   |
| 0.9064        | 47.0  | 1269 | 1.2936          | 0.4222   |
| 0.9044        | 48.0  | 1296 | 1.2934          | 0.4222   |
| 0.9396        | 49.0  | 1323 | 1.2935          | 0.4222   |
| 0.894         | 50.0  | 1350 | 1.2935          | 0.4222   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

01_normal 02_tapered 03_pyriform 04_amorphous