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# vit-base-patch16-224-in21k

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the chainyo/rvl-cdip dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4223
- Accuracy: 0.8788
- Memory Allocated (gb): 1.49
- Max Memory Allocated (gb): 2.1
- Total Memory Available (gb): 126.62

## 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: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0a0+git12138a8
- Datasets 3.1.0
- Tokenizers 0.20.3

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