---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- f1
model-index:
- name: donut-base-beans
  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. -->

# donut-base-beans

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0548
- F1: 0.3303

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
|:-------------:|:-----:|:-----:|:--------:|:---------------:|
| 0.0769        | 1.0   | 6733  | 0.4973   | 0.0657          |
| 0.0729        | 2.0   | 13466 | 0.4973   | 0.0613          |
| 0.0564        | 3.0   | 20199 | 0.4973   | 0.0621          |
| 0.0534        | 4.0   | 26932 | 0.4973   | 0.0572          |
| 0.0511        | 5.0   | 33665 | 0.4973   | 0.0562          |
| 0.0659        | 6.0   | 40398 | 0.4973   | 0.0577          |
| 0.0623        | 7.0   | 47131 | 0.4973   | 0.0567          |
| 0.0575        | 8.0   | 53864 | 0.4973   | 0.0555          |
| 0.048         | 9.0   | 60597 | 0.4973   | 0.0548          |
| 0.0389        | 10.0  | 67330 | 0.4973   | 0.0548          |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1