---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: beit-base-patch16-224-OT
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: validation
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8225806451612904
---

<!-- 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. -->

# beit-base-patch16-224-OT

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: 0.4801
- Accuracy: 0.8226

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.89  | 4    | 1.7603          | 0.1452   |
| No log        | 2.0   | 9    | 1.6852          | 0.1452   |
| 1.7571        | 2.89  | 13   | 1.5655          | 0.1452   |
| 1.7571        | 4.0   | 18   | 1.3816          | 0.1452   |
| 1.5255        | 4.89  | 22   | 1.2599          | 0.3226   |
| 1.5255        | 6.0   | 27   | 1.1534          | 0.4839   |
| 1.2245        | 6.89  | 31   | 1.0641          | 0.4839   |
| 1.2245        | 8.0   | 36   | 1.0372          | 0.4355   |
| 1.0438        | 8.89  | 40   | 0.9988          | 0.4355   |
| 1.0438        | 10.0  | 45   | 0.9260          | 0.5161   |
| 1.0438        | 10.89 | 49   | 0.9085          | 0.7097   |
| 0.9727        | 12.0  | 54   | 0.8433          | 0.7258   |
| 0.9727        | 12.89 | 58   | 0.7529          | 0.7742   |
| 0.8469        | 14.0  | 63   | 0.7187          | 0.7581   |
| 0.8469        | 14.89 | 67   | 0.6806          | 0.7258   |
| 0.6908        | 16.0  | 72   | 0.6576          | 0.7581   |
| 0.6908        | 16.89 | 76   | 0.5742          | 0.7903   |
| 0.6064        | 18.0  | 81   | 0.6447          | 0.7581   |
| 0.6064        | 18.89 | 85   | 0.5602          | 0.7742   |
| 0.5303        | 20.0  | 90   | 0.4943          | 0.7903   |
| 0.5303        | 20.89 | 94   | 0.5304          | 0.7903   |
| 0.5303        | 22.0  | 99   | 0.4801          | 0.8226   |
| 0.4903        | 22.89 | 103  | 0.4849          | 0.8226   |
| 0.4903        | 24.0  | 108  | 0.5710          | 0.7742   |
| 0.4261        | 24.89 | 112  | 0.4803          | 0.7903   |
| 0.4261        | 26.0  | 117  | 0.5671          | 0.7258   |
| 0.4122        | 26.89 | 121  | 0.4585          | 0.8065   |
| 0.4122        | 28.0  | 126  | 0.5910          | 0.7097   |
| 0.3739        | 28.89 | 130  | 0.5821          | 0.7581   |
| 0.3739        | 30.0  | 135  | 0.5329          | 0.7742   |
| 0.3739        | 30.89 | 139  | 0.4423          | 0.8226   |
| 0.3896        | 32.0  | 144  | 0.4716          | 0.7581   |
| 0.3896        | 32.89 | 148  | 0.4786          | 0.7903   |
| 0.3472        | 34.0  | 153  | 0.4538          | 0.7903   |
| 0.3472        | 34.89 | 157  | 0.4553          | 0.7903   |
| 0.3349        | 35.56 | 160  | 0.4528          | 0.7903   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0