---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- 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:
- F1: 0.9705
- Loss: 0.0429

## 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: 128
- eval_batch_size: 128
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | F1     | Validation Loss |
|:-------------:|:-----:|:-----:|:------:|:---------------:|
| 0.0796        | 1.0   | 3367  | 0.4973 | 0.0687          |
| 0.0611        | 2.0   | 6734  | 0.4973 | 0.0585          |
| 0.0581        | 3.0   | 10101 | 0.4973 | 0.0591          |
| 0.059         | 4.0   | 13468 | 0.4973 | 0.0550          |
| 0.0563        | 5.0   | 16835 | 0.4973 | 0.0540          |
| 0.0532        | 5.0   | 19805 | 0.9705 | 0.0429          |


### Framework versions

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