---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-fluro_cls
  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-tiny-patch4-window7-224-finetuned-fluro_cls

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.67  | 1    | 0.7112          | 0.5238   |
| No log        | 1.67  | 2    | 0.5591          | 0.8571   |
| 0.811         | 2.67  | 3    | 0.3781          | 0.9524   |
| 0.811         | 3.67  | 4    | 0.1995          | 1.0      |
| 0.811         | 4.67  | 5    | 0.1215          | 1.0      |
| 0.3531        | 5.67  | 6    | 0.0578          | 1.0      |
| 0.3531        | 6.67  | 7    | 0.0195          | 1.0      |
| 0.3531        | 7.67  | 8    | 0.0072          | 1.0      |
| 0.0618        | 8.67  | 9    | 0.0030          | 1.0      |
| 0.0618        | 9.67  | 10   | 0.0012          | 1.0      |
| 0.0618        | 10.67 | 11   | 0.0005          | 1.0      |
| 0.0079        | 11.67 | 12   | 0.0003          | 1.0      |
| 0.0079        | 12.67 | 13   | 0.0001          | 1.0      |
| 0.0079        | 13.67 | 14   | 0.0001          | 1.0      |
| 0.0051        | 14.67 | 15   | 0.0001          | 1.0      |
| 0.0051        | 15.67 | 16   | 0.0000          | 1.0      |
| 0.0051        | 16.67 | 17   | 0.0000          | 1.0      |
| 0.0017        | 17.67 | 18   | 0.0000          | 1.0      |
| 0.0017        | 18.67 | 19   | 0.0000          | 1.0      |
| 0.0017        | 19.67 | 20   | 0.0000          | 1.0      |
| 0.0004        | 20.67 | 21   | 0.0000          | 1.0      |
| 0.0004        | 21.67 | 22   | 0.0000          | 1.0      |
| 0.0004        | 22.67 | 23   | 0.0000          | 1.0      |
| 0.0022        | 23.67 | 24   | 0.0000          | 1.0      |
| 0.0022        | 24.67 | 25   | 0.0000          | 1.0      |
| 0.0022        | 25.67 | 26   | 0.0000          | 1.0      |
| 0.001         | 26.67 | 27   | 0.0000          | 1.0      |
| 0.001         | 27.67 | 28   | 0.0000          | 1.0      |
| 0.001         | 28.67 | 29   | 0.0000          | 1.0      |
| 0.0013        | 29.67 | 30   | 0.0000          | 1.0      |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.10.2+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2