---
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-base-patch4-window7-224-MM_Classification_base
  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: 0.8681177976952625
---

<!-- 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-base-patch4-window7-224-MM_Classification_base

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3364
- Accuracy: 0.8681

## 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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9771        | 1.0   | 19   | 0.5489          | 0.7913   |
| 0.4913        | 2.0   | 38   | 0.3562          | 0.8553   |
| 0.3633        | 3.0   | 57   | 0.3353          | 0.8668   |
| 0.3343        | 4.0   | 76   | 0.3177          | 0.8656   |
| 0.3096        | 5.0   | 95   | 0.3072          | 0.8758   |
| 0.2822        | 6.0   | 114  | 0.3213          | 0.8630   |
| 0.2749        | 7.0   | 133  | 0.3173          | 0.8643   |
| 0.2526        | 8.0   | 152  | 0.3110          | 0.8758   |
| 0.2405        | 9.0   | 171  | 0.3263          | 0.8758   |
| 0.2152        | 10.0  | 190  | 0.3268          | 0.8656   |
| 0.2226        | 11.0  | 209  | 0.3209          | 0.8732   |
| 0.2067        | 12.0  | 228  | 0.3289          | 0.8771   |
| 0.2019        | 13.0  | 247  | 0.3316          | 0.8745   |
| 0.195         | 14.0  | 266  | 0.3398          | 0.8732   |
| 0.1862        | 15.0  | 285  | 0.3364          | 0.8681   |


### Framework versions

- Transformers 4.43.3
- Pytorch 1.13.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1