---
license: apache-2.0
base_model: microsoft/swinv2-tiny-patch4-window16-256
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: patacoswin_v2
  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_v2

This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0328
- Accuracy: 0.9910

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6055        | 0.95  | 13   | 0.2709          | 0.9615   |
| 0.2812        | 1.96  | 27   | 0.0866          | 0.9683   |
| 0.1426        | 2.98  | 41   | 0.0584          | 0.9796   |
| 0.07          | 4.0   | 55   | 0.0268          | 0.9932   |
| 0.0579        | 4.95  | 68   | 0.0451          | 0.9864   |
| 0.091         | 5.96  | 82   | 0.0300          | 0.9887   |
| 0.0247        | 6.98  | 96   | 0.0387          | 0.9864   |
| 0.0323        | 8.0   | 110  | 0.0456          | 0.9887   |
| 0.032         | 8.95  | 123  | 0.0475          | 0.9864   |
| 0.0187        | 9.45  | 130  | 0.0328          | 0.9910   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3