---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_5x_beit_base_adamax_001_fold1
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: test
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.4444444444444444
---

<!-- 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_5x_beit_base_adamax_001_fold1

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: 6.2787
- Accuracy: 0.4444

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4418        | 1.0   | 27   | 1.4079          | 0.2444   |
| 1.2606        | 2.0   | 54   | 1.4566          | 0.4      |
| 1.1141        | 3.0   | 81   | 1.4147          | 0.3111   |
| 0.9738        | 4.0   | 108  | 1.7371          | 0.3556   |
| 0.7887        | 5.0   | 135  | 1.5516          | 0.3778   |
| 0.7198        | 6.0   | 162  | 1.3626          | 0.4      |
| 0.8269        | 7.0   | 189  | 1.5448          | 0.3778   |
| 0.8171        | 8.0   | 216  | 1.4576          | 0.4      |
| 0.7255        | 9.0   | 243  | 2.3915          | 0.3778   |
| 0.6369        | 10.0  | 270  | 1.6627          | 0.3778   |
| 0.6809        | 11.0  | 297  | 1.5201          | 0.3556   |
| 0.6237        | 12.0  | 324  | 1.3289          | 0.4222   |
| 0.6768        | 13.0  | 351  | 1.6115          | 0.3556   |
| 0.6336        | 14.0  | 378  | 2.0397          | 0.3778   |
| 0.5238        | 15.0  | 405  | 1.5857          | 0.3778   |
| 0.5016        | 16.0  | 432  | 1.4047          | 0.4444   |
| 0.4321        | 17.0  | 459  | 2.2039          | 0.3556   |
| 0.4791        | 18.0  | 486  | 2.3823          | 0.3778   |
| 0.484         | 19.0  | 513  | 1.4706          | 0.4222   |
| 0.4812        | 20.0  | 540  | 1.6485          | 0.4222   |
| 0.4413        | 21.0  | 567  | 1.7092          | 0.4      |
| 0.4306        | 22.0  | 594  | 1.8582          | 0.4      |
| 0.37          | 23.0  | 621  | 1.8653          | 0.3778   |
| 0.3048        | 24.0  | 648  | 1.6342          | 0.4444   |
| 0.3515        | 25.0  | 675  | 1.5211          | 0.4889   |
| 0.3558        | 26.0  | 702  | 1.9714          | 0.4222   |
| 0.2599        | 27.0  | 729  | 1.7243          | 0.4667   |
| 0.267         | 28.0  | 756  | 1.7049          | 0.5111   |
| 0.2625        | 29.0  | 783  | 2.1704          | 0.4222   |
| 0.2368        | 30.0  | 810  | 2.2942          | 0.4667   |
| 0.2036        | 31.0  | 837  | 2.0691          | 0.4667   |
| 0.1938        | 32.0  | 864  | 2.7340          | 0.4      |
| 0.1597        | 33.0  | 891  | 3.0661          | 0.4      |
| 0.1166        | 34.0  | 918  | 2.8536          | 0.4667   |
| 0.1248        | 35.0  | 945  | 2.9508          | 0.4444   |
| 0.121         | 36.0  | 972  | 3.2153          | 0.4667   |
| 0.0801        | 37.0  | 999  | 3.0021          | 0.4222   |
| 0.0529        | 38.0  | 1026 | 3.3247          | 0.4222   |
| 0.0434        | 39.0  | 1053 | 4.0394          | 0.4667   |
| 0.0599        | 40.0  | 1080 | 4.1062          | 0.4889   |
| 0.0437        | 41.0  | 1107 | 5.3485          | 0.4667   |
| 0.0045        | 42.0  | 1134 | 5.3122          | 0.4667   |
| 0.0368        | 43.0  | 1161 | 5.1937          | 0.4667   |
| 0.0032        | 44.0  | 1188 | 5.6803          | 0.4889   |
| 0.0061        | 45.0  | 1215 | 5.8620          | 0.4444   |
| 0.0035        | 46.0  | 1242 | 5.9016          | 0.4889   |
| 0.0011        | 47.0  | 1269 | 6.3136          | 0.4444   |
| 0.0277        | 48.0  | 1296 | 6.2816          | 0.4444   |
| 0.0067        | 49.0  | 1323 | 6.2787          | 0.4444   |
| 0.0372        | 50.0  | 1350 | 6.2787          | 0.4444   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0