---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-ve-U13-b-80
  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: 0.782608695652174
---

<!-- 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-ve-U13-b-80

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: 0.8901
- Accuracy: 0.7826

## 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: 80

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.92  | 6    | 1.3859          | 0.1304   |
| 1.3859        | 2.0   | 13   | 1.3828          | 0.2826   |
| 1.3859        | 2.92  | 19   | 1.3769          | 0.3261   |
| 1.379         | 4.0   | 26   | 1.3566          | 0.2826   |
| 1.3356        | 4.92  | 32   | 1.3162          | 0.2391   |
| 1.3356        | 6.0   | 39   | 1.2090          | 0.3696   |
| 1.2023        | 6.92  | 45   | 1.1409          | 0.4130   |
| 1.0289        | 8.0   | 52   | 1.0442          | 0.4565   |
| 1.0289        | 8.92  | 58   | 0.9696          | 0.5217   |
| 0.9132        | 10.0  | 65   | 1.0133          | 0.4348   |
| 0.7677        | 10.92 | 71   | 1.0144          | 0.5      |
| 0.7677        | 12.0  | 78   | 1.1377          | 0.3478   |
| 0.6988        | 12.92 | 84   | 0.8171          | 0.5870   |
| 0.6051        | 14.0  | 91   | 0.8983          | 0.6522   |
| 0.6051        | 14.92 | 97   | 0.8593          | 0.6087   |
| 0.5175        | 16.0  | 104  | 0.8189          | 0.6957   |
| 0.429         | 16.92 | 110  | 0.6790          | 0.7174   |
| 0.429         | 18.0  | 117  | 0.7074          | 0.6304   |
| 0.4349        | 18.92 | 123  | 0.8890          | 0.6957   |
| 0.3892        | 20.0  | 130  | 0.9798          | 0.6739   |
| 0.3892        | 20.92 | 136  | 0.8814          | 0.6739   |
| 0.3613        | 22.0  | 143  | 0.8840          | 0.6522   |
| 0.3613        | 22.92 | 149  | 0.7662          | 0.7391   |
| 0.342         | 24.0  | 156  | 0.7884          | 0.7609   |
| 0.2762        | 24.92 | 162  | 1.0268          | 0.6957   |
| 0.2762        | 26.0  | 169  | 0.9206          | 0.7174   |
| 0.2759        | 26.92 | 175  | 0.9080          | 0.6957   |
| 0.2559        | 28.0  | 182  | 0.9379          | 0.6739   |
| 0.2559        | 28.92 | 188  | 1.0121          | 0.6739   |
| 0.2455        | 30.0  | 195  | 0.8252          | 0.7391   |
| 0.2125        | 30.92 | 201  | 0.8501          | 0.7609   |
| 0.2125        | 32.0  | 208  | 1.0365          | 0.6739   |
| 0.2204        | 32.92 | 214  | 1.0470          | 0.7174   |
| 0.1785        | 34.0  | 221  | 0.8834          | 0.7174   |
| 0.1785        | 34.92 | 227  | 1.0780          | 0.7174   |
| 0.1912        | 36.0  | 234  | 0.9328          | 0.7174   |
| 0.1518        | 36.92 | 240  | 0.8901          | 0.7826   |
| 0.1518        | 38.0  | 247  | 1.1069          | 0.6739   |
| 0.166         | 38.92 | 253  | 0.9823          | 0.7174   |
| 0.1775        | 40.0  | 260  | 0.9713          | 0.6957   |
| 0.1775        | 40.92 | 266  | 0.9729          | 0.7174   |
| 0.1344        | 42.0  | 273  | 0.9957          | 0.7174   |
| 0.1344        | 42.92 | 279  | 1.0180          | 0.7391   |
| 0.1232        | 44.0  | 286  | 0.9669          | 0.7826   |
| 0.1267        | 44.92 | 292  | 0.9765          | 0.6957   |
| 0.1267        | 46.0  | 299  | 1.0389          | 0.7391   |
| 0.1548        | 46.92 | 305  | 1.0016          | 0.7174   |
| 0.1267        | 48.0  | 312  | 1.1565          | 0.7391   |
| 0.1267        | 48.92 | 318  | 1.1796          | 0.7174   |
| 0.1403        | 50.0  | 325  | 1.2807          | 0.6957   |
| 0.1096        | 50.92 | 331  | 1.2463          | 0.6739   |
| 0.1096        | 52.0  | 338  | 1.1454          | 0.6957   |
| 0.1106        | 52.92 | 344  | 1.1494          | 0.6957   |
| 0.1116        | 54.0  | 351  | 1.1300          | 0.6957   |
| 0.1116        | 54.92 | 357  | 1.2098          | 0.7174   |
| 0.1229        | 56.0  | 364  | 1.0591          | 0.7174   |
| 0.1235        | 56.92 | 370  | 1.1229          | 0.6957   |
| 0.1235        | 58.0  | 377  | 1.2034          | 0.7174   |
| 0.107         | 58.92 | 383  | 1.0628          | 0.7174   |
| 0.107         | 60.0  | 390  | 1.0070          | 0.7391   |
| 0.107         | 60.92 | 396  | 1.1602          | 0.7174   |
| 0.1167        | 62.0  | 403  | 1.0720          | 0.7174   |
| 0.1167        | 62.92 | 409  | 0.9726          | 0.7391   |
| 0.1113        | 64.0  | 416  | 1.0324          | 0.7174   |
| 0.0838        | 64.92 | 422  | 1.1092          | 0.7174   |
| 0.0838        | 66.0  | 429  | 1.1772          | 0.6957   |
| 0.083         | 66.92 | 435  | 1.1195          | 0.7174   |
| 0.0899        | 68.0  | 442  | 1.0681          | 0.7174   |
| 0.0899        | 68.92 | 448  | 1.1160          | 0.7174   |
| 0.0813        | 70.0  | 455  | 1.1435          | 0.7174   |
| 0.0782        | 70.92 | 461  | 1.1464          | 0.7174   |
| 0.0782        | 72.0  | 468  | 1.1539          | 0.7174   |
| 0.1014        | 72.92 | 474  | 1.1585          | 0.7174   |
| 0.0944        | 73.85 | 480  | 1.1592          | 0.7174   |


### Framework versions

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