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# hushem_1x_deit_tiny_adamax_00001_fold1

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1341
- 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: 1e-05
- 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    | 1.4260          | 0.2      |
| 1.446         | 2.0   | 12   | 1.3794          | 0.2889   |
| 1.446         | 3.0   | 18   | 1.3570          | 0.3556   |
| 1.184         | 4.0   | 24   | 1.3382          | 0.3111   |
| 1.0671        | 5.0   | 30   | 1.3283          | 0.3111   |
| 1.0671        | 6.0   | 36   | 1.3144          | 0.2889   |
| 0.9249        | 7.0   | 42   | 1.2898          | 0.3333   |
| 0.9249        | 8.0   | 48   | 1.2748          | 0.3556   |
| 0.8443        | 9.0   | 54   | 1.2692          | 0.3333   |
| 0.7477        | 10.0  | 60   | 1.2518          | 0.3778   |
| 0.7477        | 11.0  | 66   | 1.2338          | 0.4      |
| 0.662         | 12.0  | 72   | 1.2193          | 0.3778   |
| 0.662         | 13.0  | 78   | 1.2195          | 0.4      |
| 0.622         | 14.0  | 84   | 1.2039          | 0.3778   |
| 0.5154        | 15.0  | 90   | 1.1949          | 0.4      |
| 0.5154        | 16.0  | 96   | 1.1879          | 0.4      |
| 0.4537        | 17.0  | 102  | 1.1810          | 0.4      |
| 0.4537        | 18.0  | 108  | 1.1670          | 0.4      |
| 0.3859        | 19.0  | 114  | 1.1628          | 0.4      |
| 0.3586        | 20.0  | 120  | 1.1721          | 0.4      |
| 0.3586        | 21.0  | 126  | 1.1698          | 0.4222   |
| 0.3151        | 22.0  | 132  | 1.1603          | 0.4      |
| 0.3151        | 23.0  | 138  | 1.1584          | 0.4222   |
| 0.2881        | 24.0  | 144  | 1.1519          | 0.4222   |
| 0.2498        | 25.0  | 150  | 1.1515          | 0.4222   |
| 0.2498        | 26.0  | 156  | 1.1445          | 0.4222   |
| 0.232         | 27.0  | 162  | 1.1430          | 0.4222   |
| 0.232         | 28.0  | 168  | 1.1452          | 0.4222   |
| 0.2183        | 29.0  | 174  | 1.1406          | 0.4222   |
| 0.1798        | 30.0  | 180  | 1.1348          | 0.4222   |
| 0.1798        | 31.0  | 186  | 1.1304          | 0.4222   |
| 0.1811        | 32.0  | 192  | 1.1281          | 0.4222   |
| 0.1811        | 33.0  | 198  | 1.1317          | 0.4222   |
| 0.1748        | 34.0  | 204  | 1.1302          | 0.4222   |
| 0.1492        | 35.0  | 210  | 1.1303          | 0.4222   |
| 0.1492        | 36.0  | 216  | 1.1319          | 0.4222   |
| 0.1477        | 37.0  | 222  | 1.1328          | 0.4222   |
| 0.1477        | 38.0  | 228  | 1.1366          | 0.4222   |
| 0.1357        | 39.0  | 234  | 1.1362          | 0.4222   |
| 0.1379        | 40.0  | 240  | 1.1351          | 0.4222   |
| 0.1379        | 41.0  | 246  | 1.1344          | 0.4222   |
| 0.1325        | 42.0  | 252  | 1.1341          | 0.4222   |
| 0.1325        | 43.0  | 258  | 1.1341          | 0.4222   |
| 0.1377        | 44.0  | 264  | 1.1341          | 0.4222   |
| 0.1332        | 45.0  | 270  | 1.1341          | 0.4222   |
| 0.1332        | 46.0  | 276  | 1.1341          | 0.4222   |
| 0.1323        | 47.0  | 282  | 1.1341          | 0.4222   |
| 0.1323        | 48.0  | 288  | 1.1341          | 0.4222   |
| 0.1276        | 49.0  | 294  | 1.1341          | 0.4222   |
| 0.1376        | 50.0  | 300  | 1.1341          | 0.4222   |


### 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