---
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-finetuned-isic217
  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: 0.5
---

<!-- 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-isic217

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: 2.5371
- Accuracy: 0.5

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 2.2404        | 0.9796  | 24   | 2.1527          | 0.1364   |
| 2.0749        | 2.0     | 49   | 2.1159          | 0.1364   |
| 1.947         | 2.9796  | 73   | 2.1723          | 0.1364   |
| 1.732         | 4.0     | 98   | 2.1545          | 0.0909   |
| 1.446         | 4.9796  | 122  | 2.2918          | 0.1818   |
| 1.1175        | 6.0     | 147  | 1.9291          | 0.3182   |
| 1.1069        | 6.9796  | 171  | 1.9551          | 0.3636   |
| 0.7932        | 8.0     | 196  | 2.0534          | 0.4091   |
| 0.5994        | 8.9796  | 220  | 1.8135          | 0.3636   |
| 0.4671        | 10.0    | 245  | 1.7822          | 0.5455   |
| 0.4612        | 10.9796 | 269  | 2.2530          | 0.5      |
| 0.4016        | 12.0    | 294  | 1.8438          | 0.4091   |
| 0.3947        | 12.9796 | 318  | 1.8610          | 0.5      |
| 0.5033        | 14.0    | 343  | 1.8615          | 0.4545   |
| 0.2846        | 14.9796 | 367  | 1.5479          | 0.5      |
| 0.2828        | 16.0    | 392  | 1.6410          | 0.5455   |
| 0.3426        | 16.9796 | 416  | 1.9147          | 0.3636   |
| 0.3108        | 18.0    | 441  | 1.4794          | 0.5455   |
| 0.2129        | 18.9796 | 465  | 1.7765          | 0.4091   |
| 0.1946        | 20.0    | 490  | 2.1665          | 0.4545   |
| 0.1255        | 20.9796 | 514  | 1.8522          | 0.5455   |
| 0.2301        | 22.0    | 539  | 2.0289          | 0.4545   |
| 0.0909        | 22.9796 | 563  | 2.0512          | 0.4091   |
| 0.1724        | 24.0    | 588  | 2.3411          | 0.4091   |
| 0.2256        | 24.9796 | 612  | 2.1626          | 0.5      |
| 0.2471        | 26.0    | 637  | 2.0552          | 0.4091   |
| 0.0671        | 26.9796 | 661  | 1.9339          | 0.5455   |
| 0.2563        | 28.0    | 686  | 2.2507          | 0.4545   |
| 0.1865        | 28.9796 | 710  | 2.0704          | 0.5      |
| 0.0477        | 30.0    | 735  | 2.8395          | 0.3182   |
| 0.0931        | 30.9796 | 759  | 2.9484          | 0.3636   |
| 0.047         | 32.0    | 784  | 2.5486          | 0.4545   |
| 0.165         | 32.9796 | 808  | 2.6011          | 0.4545   |
| 0.0203        | 34.0    | 833  | 2.3598          | 0.5      |
| 0.0143        | 34.9796 | 857  | 2.5892          | 0.4091   |
| 0.0248        | 36.0    | 882  | 2.8362          | 0.4091   |
| 0.0812        | 36.9796 | 906  | 2.4658          | 0.4091   |
| 0.0662        | 38.0    | 931  | 2.6403          | 0.4091   |
| 0.1855        | 38.9796 | 955  | 2.6042          | 0.4545   |
| 0.03          | 40.0    | 980  | 2.5595          | 0.5      |
| 0.1117        | 40.9796 | 1004 | 2.4716          | 0.5      |
| 0.0466        | 42.0    | 1029 | 2.3257          | 0.5      |
| 0.1349        | 42.9796 | 1053 | 2.5545          | 0.4545   |
| 0.0069        | 44.0    | 1078 | 2.5815          | 0.5      |
| 0.0468        | 44.9796 | 1102 | 2.3667          | 0.5      |
| 0.1807        | 46.0    | 1127 | 2.4729          | 0.5      |
| 0.0667        | 46.9796 | 1151 | 2.4969          | 0.5      |
| 0.0199        | 48.0    | 1176 | 2.5521          | 0.5      |
| 0.2716        | 48.9796 | 1200 | 2.5371          | 0.5      |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1