---
license: apache-2.0
base_model: microsoft/swin-large-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: Boya1_SGD_1e3_20Epoch_Swin-large-224_fold2
  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: 0.38054054054054054
---

<!-- 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. -->

# Boya1_SGD_1e3_20Epoch_Swin-large-224_fold2

This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224](https://huggingface.co/microsoft/swin-large-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0270
- Accuracy: 0.3805

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.4749        | 1.0   | 923   | 2.5397          | 0.1935   |
| 2.4343        | 2.0   | 1846  | 2.4492          | 0.1943   |
| 2.4893        | 3.0   | 2769  | 2.3908          | 0.1997   |
| 2.355         | 4.0   | 3692  | 2.3485          | 0.2208   |
| 2.2183        | 5.0   | 4615  | 2.3215          | 0.2484   |
| 2.2553        | 6.0   | 5538  | 2.2854          | 0.2741   |
| 2.2168        | 7.0   | 6461  | 2.2456          | 0.2970   |
| 2.2632        | 8.0   | 7384  | 2.2147          | 0.3143   |
| 2.1811        | 9.0   | 8307  | 2.1785          | 0.33     |
| 2.1273        | 10.0  | 9230  | 2.1568          | 0.3373   |
| 2.055         | 11.0  | 10153 | 2.1247          | 0.3449   |
| 2.0484        | 12.0  | 11076 | 2.1086          | 0.3549   |
| 2.0352        | 13.0  | 11999 | 2.0861          | 0.3638   |
| 2.0495        | 14.0  | 12922 | 2.0733          | 0.3646   |
| 2.094         | 15.0  | 13845 | 2.0546          | 0.3705   |
| 2.0506        | 16.0  | 14768 | 2.0465          | 0.3759   |
| 1.9902        | 17.0  | 15691 | 2.0401          | 0.3773   |
| 1.9714        | 18.0  | 16614 | 2.0324          | 0.3792   |
| 1.967         | 19.0  | 17537 | 2.0279          | 0.3808   |
| 2.1255        | 20.0  | 18460 | 2.0270          | 0.3805   |


### Framework versions

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