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# Crop vs Full Body

## Model description
This model predicts whether the person in the image is **cropped** or **full body**. It is trained on [Lucy in the Sky](https://www.lucyinthesky.com/shop) images.

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k).

## Training and evaluation data
It achieves the following results on the evaluation set:
- Loss: 0.1513
- Accuracy: 0.9649

### 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: 20

### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

crop uncrop