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# hushem_5x_deit_base_sgd_001_fold3

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: 1.1125
- Accuracy: 0.5814

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4079        | 1.0   | 28   | 1.3750          | 0.3488   |
| 1.3886        | 2.0   | 56   | 1.3649          | 0.3488   |
| 1.3681        | 3.0   | 84   | 1.3559          | 0.3488   |
| 1.3461        | 4.0   | 112  | 1.3478          | 0.3721   |
| 1.3173        | 5.0   | 140  | 1.3397          | 0.3488   |
| 1.3367        | 6.0   | 168  | 1.3315          | 0.3721   |
| 1.3087        | 7.0   | 196  | 1.3236          | 0.3953   |
| 1.2985        | 8.0   | 224  | 1.3160          | 0.3953   |
| 1.2748        | 9.0   | 252  | 1.3080          | 0.4186   |
| 1.2568        | 10.0  | 280  | 1.3006          | 0.3953   |
| 1.2452        | 11.0  | 308  | 1.2932          | 0.4186   |
| 1.2357        | 12.0  | 336  | 1.2856          | 0.4186   |
| 1.222         | 13.0  | 364  | 1.2783          | 0.4419   |
| 1.1977        | 14.0  | 392  | 1.2713          | 0.4651   |
| 1.186         | 15.0  | 420  | 1.2640          | 0.5116   |
| 1.1893        | 16.0  | 448  | 1.2570          | 0.5349   |
| 1.1683        | 17.0  | 476  | 1.2489          | 0.5349   |
| 1.1353        | 18.0  | 504  | 1.2409          | 0.5581   |
| 1.1343        | 19.0  | 532  | 1.2329          | 0.5581   |
| 1.1437        | 20.0  | 560  | 1.2248          | 0.5581   |
| 1.1346        | 21.0  | 588  | 1.2182          | 0.5581   |
| 1.1081        | 22.0  | 616  | 1.2111          | 0.5581   |
| 1.1034        | 23.0  | 644  | 1.2042          | 0.5581   |
| 1.0734        | 24.0  | 672  | 1.1976          | 0.5814   |
| 1.0814        | 25.0  | 700  | 1.1916          | 0.5814   |
| 1.0598        | 26.0  | 728  | 1.1850          | 0.6047   |
| 1.0639        | 27.0  | 756  | 1.1788          | 0.5814   |
| 1.077         | 28.0  | 784  | 1.1725          | 0.6047   |
| 1.0515        | 29.0  | 812  | 1.1667          | 0.6047   |
| 1.0364        | 30.0  | 840  | 1.1612          | 0.6047   |
| 0.9913        | 31.0  | 868  | 1.1561          | 0.6047   |
| 1.0486        | 32.0  | 896  | 1.1515          | 0.5814   |
| 1.0089        | 33.0  | 924  | 1.1470          | 0.5581   |
| 0.9971        | 34.0  | 952  | 1.1424          | 0.5581   |
| 1.0501        | 35.0  | 980  | 1.1383          | 0.5814   |
| 1.0064        | 36.0  | 1008 | 1.1349          | 0.5814   |
| 1.0013        | 37.0  | 1036 | 1.1312          | 0.5814   |
| 0.9777        | 38.0  | 1064 | 1.1281          | 0.5814   |
| 0.9705        | 39.0  | 1092 | 1.1252          | 0.5814   |
| 0.9959        | 40.0  | 1120 | 1.1225          | 0.5814   |
| 1.0203        | 41.0  | 1148 | 1.1202          | 0.5814   |
| 0.9644        | 42.0  | 1176 | 1.1181          | 0.5814   |
| 0.9657        | 43.0  | 1204 | 1.1164          | 0.5814   |
| 0.9733        | 44.0  | 1232 | 1.1151          | 0.5814   |
| 0.9328        | 45.0  | 1260 | 1.1140          | 0.5814   |
| 0.9654        | 46.0  | 1288 | 1.1132          | 0.5814   |
| 0.9639        | 47.0  | 1316 | 1.1127          | 0.5814   |
| 0.9605        | 48.0  | 1344 | 1.1125          | 0.5814   |
| 0.9728        | 49.0  | 1372 | 1.1125          | 0.5814   |
| 0.9194        | 50.0  | 1400 | 1.1125          | 0.5814   |


### 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