
<!-- 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_adamax_00001_fold3

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: 0.5847
- Accuracy: 0.8140

## 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    | 1.3689          | 0.2558   |
| 1.2857        | 2.0   | 12   | 1.2466          | 0.4651   |
| 1.2857        | 3.0   | 18   | 1.1312          | 0.5116   |
| 0.9708        | 4.0   | 24   | 1.0630          | 0.5581   |
| 0.7059        | 5.0   | 30   | 0.9958          | 0.6279   |
| 0.7059        | 6.0   | 36   | 0.9376          | 0.6977   |
| 0.5317        | 7.0   | 42   | 0.9138          | 0.6977   |
| 0.5317        | 8.0   | 48   | 0.8910          | 0.7209   |
| 0.4018        | 9.0   | 54   | 0.8263          | 0.7209   |
| 0.2986        | 10.0  | 60   | 0.8004          | 0.7442   |
| 0.2986        | 11.0  | 66   | 0.7624          | 0.7442   |
| 0.246         | 12.0  | 72   | 0.7431          | 0.7442   |
| 0.246         | 13.0  | 78   | 0.7355          | 0.7674   |
| 0.2027        | 14.0  | 84   | 0.7048          | 0.7674   |
| 0.1517        | 15.0  | 90   | 0.6855          | 0.7674   |
| 0.1517        | 16.0  | 96   | 0.6737          | 0.7907   |
| 0.1364        | 17.0  | 102  | 0.6501          | 0.7907   |
| 0.1364        | 18.0  | 108  | 0.6600          | 0.7674   |
| 0.1145        | 19.0  | 114  | 0.6690          | 0.7674   |
| 0.1069        | 20.0  | 120  | 0.6546          | 0.7674   |
| 0.1069        | 21.0  | 126  | 0.6296          | 0.7674   |
| 0.0848        | 22.0  | 132  | 0.6148          | 0.7907   |
| 0.0848        | 23.0  | 138  | 0.6215          | 0.7907   |
| 0.0728        | 24.0  | 144  | 0.6245          | 0.7907   |
| 0.0711        | 25.0  | 150  | 0.6128          | 0.7907   |
| 0.0711        | 26.0  | 156  | 0.6151          | 0.7907   |
| 0.0595        | 27.0  | 162  | 0.6249          | 0.7907   |
| 0.0595        | 28.0  | 168  | 0.6313          | 0.7907   |
| 0.0729        | 29.0  | 174  | 0.6189          | 0.7907   |
| 0.0453        | 30.0  | 180  | 0.6035          | 0.7907   |
| 0.0453        | 31.0  | 186  | 0.5936          | 0.8140   |
| 0.0572        | 32.0  | 192  | 0.5852          | 0.8140   |
| 0.0572        | 33.0  | 198  | 0.5840          | 0.8140   |
| 0.0512        | 34.0  | 204  | 0.5836          | 0.8140   |
| 0.0479        | 35.0  | 210  | 0.5806          | 0.8140   |
| 0.0479        | 36.0  | 216  | 0.5792          | 0.8140   |
| 0.0352        | 37.0  | 222  | 0.5787          | 0.8140   |
| 0.0352        | 38.0  | 228  | 0.5803          | 0.8140   |
| 0.0412        | 39.0  | 234  | 0.5826          | 0.8140   |
| 0.0379        | 40.0  | 240  | 0.5843          | 0.8140   |
| 0.0379        | 41.0  | 246  | 0.5847          | 0.8140   |
| 0.0381        | 42.0  | 252  | 0.5847          | 0.8140   |
| 0.0381        | 43.0  | 258  | 0.5847          | 0.8140   |
| 0.0582        | 44.0  | 264  | 0.5847          | 0.8140   |
| 0.0396        | 45.0  | 270  | 0.5847          | 0.8140   |
| 0.0396        | 46.0  | 276  | 0.5847          | 0.8140   |
| 0.0561        | 47.0  | 282  | 0.5847          | 0.8140   |
| 0.0561        | 48.0  | 288  | 0.5847          | 0.8140   |
| 0.047         | 49.0  | 294  | 0.5847          | 0.8140   |
| 0.0342        | 50.0  | 300  | 0.5847          | 0.8140   |


### 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