---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: cards-top_right_swin-tiny-patch4-window7-224-finetuned-v2_more_data
  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: 0.6269272417882741
---

<!-- 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. -->

# cards-top_right_swin-tiny-patch4-window7-224-finetuned-v2_more_data

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: 0.9268
- Accuracy: 0.6269

## 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: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4585        | 1.0   | 1363  | 1.2999          | 0.4337   |
| 1.4211        | 2.0   | 2726  | 1.1663          | 0.4927   |
| 1.4203        | 3.0   | 4089  | 1.0770          | 0.5312   |
| 1.4669        | 4.0   | 5453  | 1.0744          | 0.5496   |
| 1.3781        | 5.0   | 6816  | 1.0245          | 0.5599   |
| 1.3852        | 6.0   | 8179  | 1.0645          | 0.5402   |
| 1.3407        | 7.0   | 9542  | 1.0011          | 0.5696   |
| 1.3727        | 8.0   | 10906 | 0.9898          | 0.5801   |
| 1.328         | 9.0   | 12269 | 0.9965          | 0.5738   |
| 1.3374        | 10.0  | 13632 | 0.9722          | 0.5874   |
| 1.3513        | 11.0  | 14995 | 0.9632          | 0.5873   |
| 1.3728        | 12.0  | 16359 | 0.9818          | 0.5802   |
| 1.3289        | 13.0  | 17722 | 0.9845          | 0.5729   |
| 1.3219        | 14.0  | 19085 | 0.9633          | 0.5881   |
| 1.2893        | 15.0  | 20448 | 0.9312          | 0.6004   |
| 1.3088        | 16.0  | 21812 | 0.9537          | 0.5903   |
| 1.3252        | 17.0  | 23175 | 0.9432          | 0.5986   |
| 1.3424        | 18.0  | 24538 | 0.9291          | 0.5979   |
| 1.3077        | 19.0  | 25901 | 0.9245          | 0.6020   |
| 1.2466        | 20.0  | 27265 | 0.9304          | 0.6039   |
| 1.2767        | 21.0  | 28628 | 0.9122          | 0.6099   |
| 1.2553        | 22.0  | 29991 | 0.9312          | 0.6005   |
| 1.2698        | 23.0  | 31354 | 0.9137          | 0.6092   |
| 1.2591        | 24.0  | 32718 | 0.9113          | 0.6134   |
| 1.277         | 25.0  | 34081 | 0.9095          | 0.6142   |
| 1.2742        | 26.0  | 35444 | 0.9227          | 0.6100   |
| 1.222         | 27.0  | 36807 | 0.9090          | 0.6147   |
| 1.2368        | 28.0  | 38171 | 0.9020          | 0.6172   |
| 1.198         | 29.0  | 39534 | 0.9071          | 0.6157   |
| 1.2076        | 30.0  | 40897 | 0.9031          | 0.6214   |
| 1.212         | 31.0  | 42260 | 0.9136          | 0.6175   |
| 1.2105        | 32.0  | 43624 | 0.9170          | 0.6151   |
| 1.2687        | 33.0  | 44987 | 0.9047          | 0.6186   |
| 1.2038        | 34.0  | 46350 | 0.9061          | 0.6190   |
| 1.1957        | 35.0  | 47713 | 0.9052          | 0.6255   |
| 1.1962        | 36.0  | 49077 | 0.9057          | 0.6210   |
| 1.1866        | 37.0  | 50440 | 0.9105          | 0.6227   |
| 1.2545        | 38.0  | 51803 | 0.9173          | 0.6206   |
| 1.1642        | 39.0  | 53166 | 0.9120          | 0.6239   |
| 1.1711        | 40.0  | 54530 | 0.9235          | 0.6177   |
| 1.2339        | 41.0  | 55893 | 0.9295          | 0.6143   |
| 1.1132        | 42.0  | 57256 | 0.9143          | 0.6234   |
| 1.1977        | 43.0  | 58619 | 0.9163          | 0.6256   |
| 1.1617        | 44.0  | 59983 | 0.9246          | 0.6233   |
| 1.1357        | 45.0  | 61346 | 0.9196          | 0.6255   |
| 1.1362        | 46.0  | 62709 | 0.9221          | 0.6259   |
| 1.1472        | 47.0  | 64072 | 0.9206          | 0.6263   |
| 1.184         | 48.0  | 65436 | 0.9282          | 0.6256   |
| 1.1096        | 49.0  | 66799 | 0.9252          | 0.6269   |
| 1.1425        | 49.99 | 68150 | 0.9268          | 0.6269   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2