---
license: apache-2.0
base_model: microsoft/swin-large-patch4-window7-224-in22k
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: Boya2_SGD_1e3_20Epoch_Swin-large-224_fold1
  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: 0.43978052126200273
---

<!-- 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. -->

# Boya2_SGD_1e3_20Epoch_Swin-large-224_fold1

This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-large-patch4-window7-224-in22k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7177
- Accuracy: 0.4398

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.5254        | 1.0   | 914   | 2.5193          | 0.2337   |
| 2.2335        | 2.0   | 1828  | 2.2973          | 0.2768   |
| 2.1501        | 3.0   | 2742  | 2.1851          | 0.2985   |
| 2.0837        | 4.0   | 3656  | 2.0892          | 0.3210   |
| 2.023         | 5.0   | 4570  | 2.0285          | 0.3427   |
| 2.1197        | 6.0   | 5484  | 1.9778          | 0.3567   |
| 1.8735        | 7.0   | 6398  | 1.9315          | 0.3712   |
| 1.9425        | 8.0   | 7312  | 1.8942          | 0.3855   |
| 1.7959        | 9.0   | 8226  | 1.8616          | 0.3975   |
| 1.8811        | 10.0  | 9140  | 1.8352          | 0.4102   |
| 1.7687        | 11.0  | 10054 | 1.8101          | 0.4129   |
| 1.745         | 12.0  | 10968 | 1.7884          | 0.4184   |
| 1.6926        | 13.0  | 11882 | 1.7712          | 0.4241   |
| 1.8703        | 14.0  | 12796 | 1.7556          | 0.4285   |
| 1.799         | 15.0  | 13710 | 1.7425          | 0.4321   |
| 1.7167        | 16.0  | 14624 | 1.7343          | 0.4337   |
| 1.8017        | 17.0  | 15538 | 1.7266          | 0.4362   |
| 1.7314        | 18.0  | 16452 | 1.7220          | 0.4387   |
| 1.8866        | 19.0  | 17366 | 1.7190          | 0.4398   |
| 1.8724        | 20.0  | 18280 | 1.7177          | 0.4398   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.1+cu121
- Datasets 2.21.0
- Tokenizers 0.13.2