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---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-sroie44
  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-sroie44

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: 0.8959

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.8624        | 1.0   | 45   | 6.0252          |
| 3.5286        | 2.0   | 90   | 2.7989          |
| 2.2016        | 3.0   | 135  | 1.7187          |
| 0.9759        | 4.0   | 180  | 1.3290          |
| 0.7308        | 5.0   | 225  | 1.1039          |
| 1.2687        | 6.0   | 270  | 0.9728          |
| 0.8614        | 7.0   | 315  | 0.9411          |
| 0.5169        | 8.0   | 360  | 0.9238          |
| 0.7396        | 9.0   | 405  | 0.8948          |
| 0.4634        | 10.0  | 450  | 0.8959          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1