---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- vision
- generated_from_trainer
model-index:
- name: vit-base-patch16-224-in21k
  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. -->

# 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:
- eval_loss: 2.7757
- eval_model_preparation_time: 0.0143
- eval_accuracy: 0.0567
- eval_runtime: 351.0327
- eval_samples_per_second: 136.739
- eval_steps_per_second: 2.137
- memory_allocated (GB): 0.79
- max_memory_allocated (GB): 0.87
- total_memory_available (GB): 94.62
- step: 0

## 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

### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0a0+git74cd574
- Datasets 3.0.2
- Tokenizers 0.20.1