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# hushem_1x_beit_base_adamax_001_fold5

This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2278
- Accuracy: 0.7317

## 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    | 1.4268          | 0.2439   |
| 1.7859        | 2.0   | 12   | 1.3982          | 0.2439   |
| 1.7859        | 3.0   | 18   | 1.3119          | 0.4878   |
| 1.3869        | 4.0   | 24   | 1.2627          | 0.4146   |
| 1.329         | 5.0   | 30   | 1.0564          | 0.5610   |
| 1.329         | 6.0   | 36   | 1.2486          | 0.2927   |
| 1.2971        | 7.0   | 42   | 1.2260          | 0.3415   |
| 1.2971        | 8.0   | 48   | 1.1669          | 0.5122   |
| 1.2043        | 9.0   | 54   | 1.2078          | 0.4390   |
| 1.166         | 10.0  | 60   | 1.1291          | 0.4390   |
| 1.166         | 11.0  | 66   | 1.4793          | 0.2683   |
| 1.2368        | 12.0  | 72   | 1.1712          | 0.4390   |
| 1.2368        | 13.0  | 78   | 1.1600          | 0.4146   |
| 1.0841        | 14.0  | 84   | 1.1286          | 0.4146   |
| 1.1358        | 15.0  | 90   | 1.0309          | 0.4878   |
| 1.1358        | 16.0  | 96   | 1.0536          | 0.3902   |
| 1.0304        | 17.0  | 102  | 0.9535          | 0.4878   |
| 1.0304        | 18.0  | 108  | 1.1738          | 0.3659   |
| 0.9971        | 19.0  | 114  | 0.9220          | 0.5122   |
| 0.9482        | 20.0  | 120  | 1.0234          | 0.6829   |
| 0.9482        | 21.0  | 126  | 1.0465          | 0.5366   |
| 0.9578        | 22.0  | 132  | 1.0713          | 0.5854   |
| 0.9578        | 23.0  | 138  | 1.1190          | 0.5122   |
| 1.0032        | 24.0  | 144  | 1.0303          | 0.6341   |
| 0.9765        | 25.0  | 150  | 0.9143          | 0.6098   |
| 0.9765        | 26.0  | 156  | 0.9675          | 0.6098   |
| 0.8768        | 27.0  | 162  | 0.8561          | 0.6341   |
| 0.8768        | 28.0  | 168  | 1.0406          | 0.4878   |
| 0.813         | 29.0  | 174  | 1.2443          | 0.6098   |
| 0.8566        | 30.0  | 180  | 0.8255          | 0.6341   |
| 0.8566        | 31.0  | 186  | 0.8471          | 0.6829   |
| 0.7675        | 32.0  | 192  | 0.9851          | 0.6829   |
| 0.7675        | 33.0  | 198  | 1.1042          | 0.6829   |
| 0.7167        | 34.0  | 204  | 1.0172          | 0.6829   |
| 0.6799        | 35.0  | 210  | 1.1228          | 0.5366   |
| 0.6799        | 36.0  | 216  | 1.1880          | 0.7317   |
| 0.6558        | 37.0  | 222  | 1.1922          | 0.7317   |
| 0.6558        | 38.0  | 228  | 1.4663          | 0.6585   |
| 0.5997        | 39.0  | 234  | 1.0459          | 0.7317   |
| 0.579         | 40.0  | 240  | 1.1555          | 0.7073   |
| 0.579         | 41.0  | 246  | 1.1889          | 0.7073   |
| 0.5728        | 42.0  | 252  | 1.2278          | 0.7317   |
| 0.5728        | 43.0  | 258  | 1.2278          | 0.7317   |
| 0.5177        | 44.0  | 264  | 1.2278          | 0.7317   |
| 0.5591        | 45.0  | 270  | 1.2278          | 0.7317   |
| 0.5591        | 46.0  | 276  | 1.2278          | 0.7317   |
| 0.5528        | 47.0  | 282  | 1.2278          | 0.7317   |
| 0.5528        | 48.0  | 288  | 1.2278          | 0.7317   |
| 0.575         | 49.0  | 294  | 1.2278          | 0.7317   |
| 0.5528        | 50.0  | 300  | 1.2278          | 0.7317   |


### 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