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# swin-tiny-patch4-window7-224-finetuned-eurosat

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: 1.5564
- Accuracy: 0.2861

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5752        | 0.99  | 115  | 1.5699          | 0.2685   |
| 1.5519        | 2.0   | 231  | 1.5570          | 0.2866   |
| 1.5324        | 2.98  | 345  | 1.5564          | 0.2861   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3

pet was adopted between 1 and 7 days (1st week) after being listed pet was adopted between 8 and 30 days (1st month) after being listed pet was adopted between 31 and 90 days (2nd and 3rd month) after being listed no adoption after 100 days of being listed.(there are no pets in this dataset that waited between 90 and 100 days). pet was adopted on the same day as it was listed