---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: hushem_1x_beit_base_adamax_001_fold4
  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: 0.4523809523809524
---

<!-- 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_001_fold4

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: 4.3503
- Accuracy: 0.4524

## 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    | 1.4229          | 0.2381   |
| 2.0151        | 2.0   | 12   | 1.3893          | 0.2619   |
| 2.0151        | 3.0   | 18   | 1.3408          | 0.3333   |
| 1.3963        | 4.0   | 24   | 1.3326          | 0.3095   |
| 1.3169        | 5.0   | 30   | 1.2412          | 0.4762   |
| 1.3169        | 6.0   | 36   | 1.0247          | 0.5476   |
| 1.2588        | 7.0   | 42   | 1.2101          | 0.3571   |
| 1.2588        | 8.0   | 48   | 1.0013          | 0.5238   |
| 1.1685        | 9.0   | 54   | 1.3288          | 0.4524   |
| 1.1624        | 10.0  | 60   | 1.0173          | 0.5      |
| 1.1624        | 11.0  | 66   | 1.2213          | 0.4762   |
| 1.163         | 12.0  | 72   | 1.3131          | 0.4286   |
| 1.163         | 13.0  | 78   | 1.0794          | 0.5238   |
| 1.0128        | 14.0  | 84   | 1.2744          | 0.3810   |
| 1.1156        | 15.0  | 90   | 1.2253          | 0.5      |
| 1.1156        | 16.0  | 96   | 1.2674          | 0.4048   |
| 0.9374        | 17.0  | 102  | 1.1623          | 0.4524   |
| 0.9374        | 18.0  | 108  | 1.5694          | 0.4048   |
| 0.9149        | 19.0  | 114  | 1.0570          | 0.5476   |
| 0.912         | 20.0  | 120  | 1.2919          | 0.4286   |
| 0.912         | 21.0  | 126  | 1.4307          | 0.5      |
| 0.6869        | 22.0  | 132  | 1.5771          | 0.5238   |
| 0.6869        | 23.0  | 138  | 2.1692          | 0.3571   |
| 0.6883        | 24.0  | 144  | 1.5822          | 0.5714   |
| 0.7288        | 25.0  | 150  | 2.0687          | 0.4524   |
| 0.7288        | 26.0  | 156  | 2.1992          | 0.4524   |
| 0.4823        | 27.0  | 162  | 2.2715          | 0.5238   |
| 0.4823        | 28.0  | 168  | 3.3968          | 0.4286   |
| 0.4173        | 29.0  | 174  | 2.2538          | 0.5476   |
| 0.4253        | 30.0  | 180  | 3.6242          | 0.3810   |
| 0.4253        | 31.0  | 186  | 2.4386          | 0.5952   |
| 0.3088        | 32.0  | 192  | 3.2728          | 0.4762   |
| 0.3088        | 33.0  | 198  | 3.5241          | 0.5476   |
| 0.1666        | 34.0  | 204  | 3.5230          | 0.5      |
| 0.2645        | 35.0  | 210  | 3.7888          | 0.4286   |
| 0.2645        | 36.0  | 216  | 4.2240          | 0.5238   |
| 0.1416        | 37.0  | 222  | 4.2393          | 0.5      |
| 0.1416        | 38.0  | 228  | 4.0612          | 0.4762   |
| 0.1169        | 39.0  | 234  | 4.3686          | 0.4524   |
| 0.0781        | 40.0  | 240  | 4.2437          | 0.4762   |
| 0.0781        | 41.0  | 246  | 4.2703          | 0.4286   |
| 0.06          | 42.0  | 252  | 4.3503          | 0.4524   |
| 0.06          | 43.0  | 258  | 4.3503          | 0.4524   |
| 0.0264        | 44.0  | 264  | 4.3503          | 0.4524   |
| 0.1093        | 45.0  | 270  | 4.3503          | 0.4524   |
| 0.1093        | 46.0  | 276  | 4.3503          | 0.4524   |
| 0.0479        | 47.0  | 282  | 4.3503          | 0.4524   |
| 0.0479        | 48.0  | 288  | 4.3503          | 0.4524   |
| 0.0488        | 49.0  | 294  | 4.3503          | 0.4524   |
| 0.0619        | 50.0  | 300  | 4.3503          | 0.4524   |


### Framework versions

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