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# hushem_1x_beit_base_rms_00001_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: 0.7273
- Accuracy: 0.8293

## 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    | 1.3481          | 0.2927   |
| 1.3909        | 2.0   | 12   | 0.6605          | 0.7317   |
| 1.3909        | 3.0   | 18   | 0.4292          | 0.8780   |
| 0.5403        | 4.0   | 24   | 0.4452          | 0.7805   |
| 0.1465        | 5.0   | 30   | 0.3293          | 0.8537   |
| 0.1465        | 6.0   | 36   | 0.3638          | 0.8537   |
| 0.0351        | 7.0   | 42   | 0.4318          | 0.8537   |
| 0.0351        | 8.0   | 48   | 0.5448          | 0.8537   |
| 0.0141        | 9.0   | 54   | 0.6437          | 0.8049   |
| 0.0043        | 10.0  | 60   | 0.5878          | 0.8293   |
| 0.0043        | 11.0  | 66   | 0.6177          | 0.8537   |
| 0.0037        | 12.0  | 72   | 0.5464          | 0.8537   |
| 0.0037        | 13.0  | 78   | 0.5884          | 0.8537   |
| 0.0055        | 14.0  | 84   | 0.5978          | 0.8537   |
| 0.0023        | 15.0  | 90   | 0.6603          | 0.8293   |
| 0.0023        | 16.0  | 96   | 0.8364          | 0.7805   |
| 0.0022        | 17.0  | 102  | 0.7710          | 0.8049   |
| 0.0022        | 18.0  | 108  | 0.8111          | 0.7805   |
| 0.0021        | 19.0  | 114  | 0.8487          | 0.7805   |
| 0.0014        | 20.0  | 120  | 0.7148          | 0.8049   |
| 0.0014        | 21.0  | 126  | 0.7288          | 0.8049   |
| 0.0018        | 22.0  | 132  | 0.6188          | 0.8537   |
| 0.0018        | 23.0  | 138  | 0.6580          | 0.8537   |
| 0.0007        | 24.0  | 144  | 0.6927          | 0.8537   |
| 0.0009        | 25.0  | 150  | 0.6863          | 0.8537   |
| 0.0009        | 26.0  | 156  | 0.6891          | 0.8537   |
| 0.0005        | 27.0  | 162  | 0.7029          | 0.8537   |
| 0.0005        | 28.0  | 168  | 0.6879          | 0.8537   |
| 0.0008        | 29.0  | 174  | 0.7177          | 0.8537   |
| 0.0005        | 30.0  | 180  | 0.7192          | 0.8537   |
| 0.0005        | 31.0  | 186  | 0.6892          | 0.8537   |
| 0.0009        | 32.0  | 192  | 0.7016          | 0.8537   |
| 0.0009        | 33.0  | 198  | 0.6329          | 0.8537   |
| 0.0013        | 34.0  | 204  | 0.6550          | 0.8537   |
| 0.0012        | 35.0  | 210  | 0.7178          | 0.8293   |
| 0.0012        | 36.0  | 216  | 0.7226          | 0.8293   |
| 0.0005        | 37.0  | 222  | 0.7238          | 0.8293   |
| 0.0005        | 38.0  | 228  | 0.7249          | 0.8293   |
| 0.0004        | 39.0  | 234  | 0.7268          | 0.8293   |
| 0.0005        | 40.0  | 240  | 0.7276          | 0.8293   |
| 0.0005        | 41.0  | 246  | 0.7269          | 0.8293   |
| 0.0008        | 42.0  | 252  | 0.7273          | 0.8293   |
| 0.0008        | 43.0  | 258  | 0.7273          | 0.8293   |
| 0.0005        | 44.0  | 264  | 0.7273          | 0.8293   |
| 0.0004        | 45.0  | 270  | 0.7273          | 0.8293   |
| 0.0004        | 46.0  | 276  | 0.7273          | 0.8293   |
| 0.0071        | 47.0  | 282  | 0.7273          | 0.8293   |
| 0.0071        | 48.0  | 288  | 0.7273          | 0.8293   |
| 0.0008        | 49.0  | 294  | 0.7273          | 0.8293   |
| 0.0003        | 50.0  | 300  | 0.7273          | 0.8293   |


### 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