---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-BottomSportsCasual
  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: 0.9954597048808173
---

<!-- 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-BottomSportsCasual

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: 0.0189
- Accuracy: 0.9955

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 7
- total_train_batch_size: 56
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1765        | 1.0   | 141  | 0.0538          | 0.9796   |
| 0.1572        | 2.0   | 283  | 0.0309          | 0.9886   |
| 0.1412        | 2.99  | 424  | 0.0167          | 0.9943   |
| 0.0825        | 4.0   | 566  | 0.0217          | 0.9898   |
| 0.0881        | 4.99  | 707  | 0.0278          | 0.9921   |
| 0.102         | 6.0   | 849  | 0.0189          | 0.9955   |
| 0.0784        | 7.0   | 991  | 0.0167          | 0.9932   |
| 0.0902        | 8.0   | 1132 | 0.0255          | 0.9921   |
| 0.0686        | 9.0   | 1274 | 0.0182          | 0.9932   |
| 0.0529        | 9.96  | 1410 | 0.0157          | 0.9943   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3