
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# hushem_1x_beit_base_rms_00001_fold4

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: 0.2419
- Accuracy: 0.9524

## 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    | 1.3507          | 0.4286   |
| 1.4746        | 2.0   | 12   | 1.0121          | 0.5238   |
| 1.4746        | 3.0   | 18   | 0.4084          | 0.9048   |
| 0.4975        | 4.0   | 24   | 0.8867          | 0.6905   |
| 0.135         | 5.0   | 30   | 0.3643          | 0.9048   |
| 0.135         | 6.0   | 36   | 0.2799          | 0.9048   |
| 0.0217        | 7.0   | 42   | 0.2749          | 0.9286   |
| 0.0217        | 8.0   | 48   | 0.1461          | 0.9524   |
| 0.0073        | 9.0   | 54   | 0.2904          | 0.9286   |
| 0.003         | 10.0  | 60   | 0.2142          | 0.9762   |
| 0.003         | 11.0  | 66   | 0.2416          | 0.9048   |
| 0.0024        | 12.0  | 72   | 0.2155          | 0.9286   |
| 0.0024        | 13.0  | 78   | 0.1970          | 0.9524   |
| 0.0018        | 14.0  | 84   | 0.2474          | 0.9286   |
| 0.002         | 15.0  | 90   | 0.2996          | 0.9048   |
| 0.002         | 16.0  | 96   | 0.2243          | 0.9524   |
| 0.0011        | 17.0  | 102  | 0.2323          | 0.9524   |
| 0.0011        | 18.0  | 108  | 0.2007          | 0.9286   |
| 0.0019        | 19.0  | 114  | 0.2031          | 0.9286   |
| 0.0015        | 20.0  | 120  | 0.2492          | 0.9286   |
| 0.0015        | 21.0  | 126  | 0.2398          | 0.9286   |
| 0.0022        | 22.0  | 132  | 0.2207          | 0.9286   |
| 0.0022        | 23.0  | 138  | 0.2104          | 0.9286   |
| 0.001         | 24.0  | 144  | 0.2272          | 0.9524   |
| 0.0009        | 25.0  | 150  | 0.2107          | 0.9286   |
| 0.0009        | 26.0  | 156  | 0.2183          | 0.9524   |
| 0.0009        | 27.0  | 162  | 0.2098          | 0.9524   |
| 0.0009        | 28.0  | 168  | 0.2285          | 0.9524   |
| 0.0007        | 29.0  | 174  | 0.2209          | 0.9524   |
| 0.0007        | 30.0  | 180  | 0.2991          | 0.9524   |
| 0.0007        | 31.0  | 186  | 0.2929          | 0.9286   |
| 0.0008        | 32.0  | 192  | 0.2866          | 0.9286   |
| 0.0008        | 33.0  | 198  | 0.2902          | 0.9524   |
| 0.0007        | 34.0  | 204  | 0.2876          | 0.9524   |
| 0.0041        | 35.0  | 210  | 0.2290          | 0.9524   |
| 0.0041        | 36.0  | 216  | 0.2314          | 0.9524   |
| 0.0005        | 37.0  | 222  | 0.2320          | 0.9524   |
| 0.0005        | 38.0  | 228  | 0.2342          | 0.9524   |
| 0.0005        | 39.0  | 234  | 0.2418          | 0.9524   |
| 0.0012        | 40.0  | 240  | 0.2419          | 0.9524   |
| 0.0012        | 41.0  | 246  | 0.2420          | 0.9524   |
| 0.0006        | 42.0  | 252  | 0.2419          | 0.9524   |
| 0.0006        | 43.0  | 258  | 0.2419          | 0.9524   |
| 0.0007        | 44.0  | 264  | 0.2419          | 0.9524   |
| 0.0041        | 45.0  | 270  | 0.2419          | 0.9524   |
| 0.0041        | 46.0  | 276  | 0.2419          | 0.9524   |
| 0.0014        | 47.0  | 282  | 0.2419          | 0.9524   |
| 0.0014        | 48.0  | 288  | 0.2419          | 0.9524   |
| 0.0023        | 49.0  | 294  | 0.2419          | 0.9524   |
| 0.0004        | 50.0  | 300  | 0.2419          | 0.9524   |


### 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