---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-arty
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 1.0
---

<!-- 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. -->

# swin-tiny-patch4-window7-224-finetuned-arty

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002
- Accuracy: 1.0

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2386        | 0.43  | 50   | 0.0643          | 0.9967   |
| 0.0359        | 0.87  | 100  | 0.0035          | 0.9996   |
| 0.058         | 1.3   | 150  | 0.0015          | 0.9996   |
| 0.0297        | 1.74  | 200  | 0.0003          | 1.0      |
| 0.0175        | 2.17  | 250  | 0.0002          | 1.0      |
| 0.0166        | 2.6   | 300  | 0.0002          | 1.0      |
| 0.0318        | 3.04  | 350  | 0.0001          | 1.0      |
| 0.0062        | 3.47  | 400  | 0.0002          | 1.0      |
| 0.0101        | 3.9   | 450  | 0.0002          | 1.0      |
| 0.0066        | 4.34  | 500  | 0.0002          | 1.0      |
| 0.005         | 4.77  | 550  | 0.0002          | 1.0      |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3