---
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-finetuned-class_mi_a4c
  results: []
---

<!-- 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-finetuned-class_mi_a4c

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 187691964027097262850048.0000
- Accuracy: 0.4324

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss                 | Epoch | Step | Validation Loss               | Accuracy |
|:-----------------------------:|:-----:|:----:|:-----------------------------:|:--------:|
| No log                        | 0.84  | 4    | 187691964027097262850048.0000 | 0.4324   |
| No log                        | 1.89  | 9    | 187691964027097262850048.0000 | 0.4324   |
| 197383793291431707148288.0000 | 2.95  | 14   | 187691964027097262850048.0000 | 0.4324   |
| 197383793291431707148288.0000 | 4.0   | 19   | 187691964027097262850048.0000 | 0.4324   |
| 201517492465567910592512.0000 | 4.84  | 23   | 187691964027097262850048.0000 | 0.4324   |
| 201517492465567910592512.0000 | 5.89  | 28   | 187691964027097262850048.0000 | 0.4324   |
| 190149859368370083725312.0000 | 6.95  | 33   | 187691964027097262850048.0000 | 0.4324   |
| 190149859368370083725312.0000 | 8.0   | 38   | 187691964027097262850048.0000 | 0.4324   |
| 203584363669914227048448.0000 | 8.42  | 40   | 187691964027097262850048.0000 | 0.4324   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0