---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Main_fashion-swin
  results: []
---

<!-- 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. -->

# Main_fashion-swin

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7830
- Accuracy: 0.7053

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 2.019         | 0.9630  | 13   | 1.7204          | 0.3805   |
| 1.646         | 2.0     | 27   | 1.2356          | 0.5940   |
| 0.9911        | 2.9630  | 40   | 0.9948          | 0.6821   |
| 0.9104        | 4.0     | 54   | 0.9069          | 0.6775   |
| 0.8337        | 4.9630  | 67   | 0.8472          | 0.6961   |
| 0.7425        | 6.0     | 81   | 0.8436          | 0.6891   |
| 0.6625        | 6.9630  | 94   | 0.8257          | 0.6937   |
| 0.6814        | 8.0     | 108  | 0.8274          | 0.6914   |
| 0.6445        | 8.9630  | 121  | 0.7940          | 0.7053   |
| 0.6032        | 10.0    | 135  | 0.8015          | 0.7030   |
| 0.6231        | 10.9630 | 148  | 0.7825          | 0.7077   |
| 0.6337        | 11.5556 | 156  | 0.7830          | 0.7053   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1