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# hushem_1x_beit_base_adamax_001_fold2

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: 1.3645
- Accuracy: 0.5556

## 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    | 1.4123          | 0.2444   |
| 1.8567        | 2.0   | 12   | 1.3969          | 0.2444   |
| 1.8567        | 3.0   | 18   | 1.3773          | 0.4      |
| 1.4001        | 4.0   | 24   | 1.3688          | 0.3778   |
| 1.3691        | 5.0   | 30   | 1.3640          | 0.2444   |
| 1.3691        | 6.0   | 36   | 1.2556          | 0.5111   |
| 1.3116        | 7.0   | 42   | 1.4009          | 0.2667   |
| 1.3116        | 8.0   | 48   | 1.2324          | 0.4222   |
| 1.1799        | 9.0   | 54   | 1.1289          | 0.5111   |
| 1.1098        | 10.0  | 60   | 1.5348          | 0.2667   |
| 1.1098        | 11.0  | 66   | 1.2341          | 0.4222   |
| 1.0933        | 12.0  | 72   | 1.3191          | 0.4667   |
| 1.0933        | 13.0  | 78   | 1.3567          | 0.4      |
| 0.986         | 14.0  | 84   | 1.1728          | 0.3778   |
| 0.9075        | 15.0  | 90   | 1.1993          | 0.5111   |
| 0.9075        | 16.0  | 96   | 1.1869          | 0.3556   |
| 0.8205        | 17.0  | 102  | 1.3241          | 0.5333   |
| 0.8205        | 18.0  | 108  | 1.2073          | 0.5333   |
| 0.9036        | 19.0  | 114  | 1.2788          | 0.4889   |
| 0.7712        | 20.0  | 120  | 1.2208          | 0.4667   |
| 0.7712        | 21.0  | 126  | 1.2263          | 0.5333   |
| 0.6949        | 22.0  | 132  | 1.1609          | 0.4889   |
| 0.6949        | 23.0  | 138  | 1.1919          | 0.4222   |
| 0.7053        | 24.0  | 144  | 1.2190          | 0.5111   |
| 0.6439        | 25.0  | 150  | 1.2569          | 0.5556   |
| 0.6439        | 26.0  | 156  | 1.3636          | 0.5333   |
| 0.6537        | 27.0  | 162  | 1.4293          | 0.5778   |
| 0.6537        | 28.0  | 168  | 1.2396          | 0.5111   |
| 0.6181        | 29.0  | 174  | 1.3037          | 0.5556   |
| 0.5097        | 30.0  | 180  | 1.3049          | 0.5778   |
| 0.5097        | 31.0  | 186  | 1.1406          | 0.5333   |
| 0.5782        | 32.0  | 192  | 1.2396          | 0.5333   |
| 0.5782        | 33.0  | 198  | 1.2877          | 0.5111   |
| 0.5897        | 34.0  | 204  | 1.3944          | 0.5778   |
| 0.4972        | 35.0  | 210  | 1.2439          | 0.5556   |
| 0.4972        | 36.0  | 216  | 1.2993          | 0.5556   |
| 0.4729        | 37.0  | 222  | 1.3034          | 0.5556   |
| 0.4729        | 38.0  | 228  | 1.3631          | 0.5556   |
| 0.3719        | 39.0  | 234  | 1.4220          | 0.5778   |
| 0.4329        | 40.0  | 240  | 1.3836          | 0.5111   |
| 0.4329        | 41.0  | 246  | 1.3661          | 0.5556   |
| 0.3819        | 42.0  | 252  | 1.3645          | 0.5556   |
| 0.3819        | 43.0  | 258  | 1.3645          | 0.5556   |
| 0.3664        | 44.0  | 264  | 1.3645          | 0.5556   |
| 0.4152        | 45.0  | 270  | 1.3645          | 0.5556   |
| 0.4152        | 46.0  | 276  | 1.3645          | 0.5556   |
| 0.3637        | 47.0  | 282  | 1.3645          | 0.5556   |
| 0.3637        | 48.0  | 288  | 1.3645          | 0.5556   |
| 0.394         | 49.0  | 294  | 1.3645          | 0.5556   |
| 0.3776        | 50.0  | 300  | 1.3645          | 0.5556   |


### 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