---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: patacoswin
  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. -->

# patacoswin

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0203
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.96  | 6    | 0.4003          | 0.875    |
| 0.5091        | 1.92  | 12   | 0.1308          | 0.9886   |
| 0.5091        | 2.88  | 18   | 0.0522          | 0.9886   |
| 0.1585        | 4.0   | 25   | 0.0203          | 1.0      |
| 0.0925        | 4.96  | 31   | 0.0156          | 1.0      |
| 0.0925        | 5.92  | 37   | 0.0196          | 1.0      |
| 0.0539        | 6.88  | 43   | 0.0095          | 1.0      |
| 0.0397        | 8.0   | 50   | 0.0089          | 1.0      |
| 0.0397        | 8.96  | 56   | 0.0089          | 1.0      |
| 0.0378        | 9.6   | 60   | 0.0090          | 1.0      |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3