---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-sroie
  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-sroie

This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1461

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.8948        | 1.0   | 45   | 5.7211          |
| 3.2707        | 2.0   | 90   | 2.8623          |
| 2.1611        | 3.0   | 135  | 1.7889          |
| 1.3332        | 4.0   | 180  | 1.4790          |
| 0.6255        | 5.0   | 225  | 1.3553          |
| 1.2248        | 6.0   | 270  | 1.2488          |
| 0.9245        | 7.0   | 315  | 1.1895          |
| 0.4144        | 8.0   | 360  | 1.2128          |
| 0.4087        | 9.0   | 405  | 1.1811          |
| 0.4926        | 10.0  | 450  | 1.1461          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1