---
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_sgd_0001_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: 0.24444444444444444
---

<!-- 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_sgd_0001_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: 1.5157
- Accuracy: 0.2444

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4822        | 1.0   | 27   | 1.6002          | 0.2667   |
| 1.5214        | 2.0   | 54   | 1.5936          | 0.2667   |
| 1.5576        | 3.0   | 81   | 1.5870          | 0.2667   |
| 1.5472        | 4.0   | 108  | 1.5816          | 0.2667   |
| 1.4716        | 5.0   | 135  | 1.5767          | 0.2667   |
| 1.4758        | 6.0   | 162  | 1.5710          | 0.2667   |
| 1.4611        | 7.0   | 189  | 1.5663          | 0.2667   |
| 1.4821        | 8.0   | 216  | 1.5623          | 0.2667   |
| 1.4618        | 9.0   | 243  | 1.5580          | 0.2667   |
| 1.4567        | 10.0  | 270  | 1.5546          | 0.2667   |
| 1.4567        | 11.0  | 297  | 1.5511          | 0.2667   |
| 1.453         | 12.0  | 324  | 1.5484          | 0.2667   |
| 1.3888        | 13.0  | 351  | 1.5457          | 0.2667   |
| 1.4317        | 14.0  | 378  | 1.5428          | 0.2667   |
| 1.3877        | 15.0  | 405  | 1.5404          | 0.2667   |
| 1.4231        | 16.0  | 432  | 1.5382          | 0.2667   |
| 1.3948        | 17.0  | 459  | 1.5365          | 0.2667   |
| 1.4184        | 18.0  | 486  | 1.5346          | 0.2667   |
| 1.4164        | 19.0  | 513  | 1.5325          | 0.2667   |
| 1.4155        | 20.0  | 540  | 1.5309          | 0.2667   |
| 1.4058        | 21.0  | 567  | 1.5293          | 0.2667   |
| 1.3567        | 22.0  | 594  | 1.5276          | 0.2444   |
| 1.3445        | 23.0  | 621  | 1.5270          | 0.2444   |
| 1.3726        | 24.0  | 648  | 1.5258          | 0.2444   |
| 1.3733        | 25.0  | 675  | 1.5248          | 0.2444   |
| 1.386         | 26.0  | 702  | 1.5239          | 0.2444   |
| 1.392         | 27.0  | 729  | 1.5231          | 0.2444   |
| 1.3461        | 28.0  | 756  | 1.5218          | 0.2444   |
| 1.3599        | 29.0  | 783  | 1.5209          | 0.2444   |
| 1.4064        | 30.0  | 810  | 1.5203          | 0.2444   |
| 1.348         | 31.0  | 837  | 1.5201          | 0.2444   |
| 1.3411        | 32.0  | 864  | 1.5195          | 0.2444   |
| 1.4156        | 33.0  | 891  | 1.5189          | 0.2444   |
| 1.3382        | 34.0  | 918  | 1.5185          | 0.2444   |
| 1.3361        | 35.0  | 945  | 1.5180          | 0.2444   |
| 1.3197        | 36.0  | 972  | 1.5176          | 0.2444   |
| 1.3433        | 37.0  | 999  | 1.5173          | 0.2444   |
| 1.3575        | 38.0  | 1026 | 1.5170          | 0.2444   |
| 1.3276        | 39.0  | 1053 | 1.5168          | 0.2444   |
| 1.3024        | 40.0  | 1080 | 1.5166          | 0.2444   |
| 1.3207        | 41.0  | 1107 | 1.5163          | 0.2444   |
| 1.3095        | 42.0  | 1134 | 1.5162          | 0.2444   |
| 1.3386        | 43.0  | 1161 | 1.5160          | 0.2444   |
| 1.2808        | 44.0  | 1188 | 1.5159          | 0.2444   |
| 1.3213        | 45.0  | 1215 | 1.5158          | 0.2444   |
| 1.3279        | 46.0  | 1242 | 1.5157          | 0.2444   |
| 1.3133        | 47.0  | 1269 | 1.5157          | 0.2444   |
| 1.3138        | 48.0  | 1296 | 1.5157          | 0.2444   |
| 1.3263        | 49.0  | 1323 | 1.5157          | 0.2444   |
| 1.3148        | 50.0  | 1350 | 1.5157          | 0.2444   |


### Framework versions

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