---
license: apache-2.0
base_model: microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-windturbine
  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-windturbine

This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) on the sees-ml-skunkworks/windturbinedataset-cleaned dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0337
- Accuracy: 0.9857

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0604        | 1.0   | 197  | 0.0459          | 0.9892   |
| 0.1309        | 2.0   | 394  | 0.0337          | 0.9857   |
| 0.3207        | 3.0   | 591  | 0.1261          | 0.9785   |
| 0.2517        | 4.0   | 788  | 0.0491          | 0.9928   |
| 0.1549        | 5.0   | 985  | 0.0472          | 0.9964   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1