---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base3-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-base3-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: 1.8932

## 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: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.4525        | 1.0   | 49   | 5.8289          |
| 3.7395        | 2.0   | 98   | 3.4073          |
| 3.093         | 3.0   | 147  | 2.8774          |
| 3.5816        | 4.0   | 196  | 2.5408          |
| 2.2642        | 5.0   | 245  | 2.3801          |
| 2.0238        | 6.0   | 294  | 2.1951          |
| 1.7201        | 7.0   | 343  | 2.1006          |
| 1.5596        | 8.0   | 392  | 2.0265          |
| 2.0967        | 9.0   | 441  | 1.9439          |
| 1.9109        | 10.0  | 490  | 1.9280          |
| 1.5129        | 11.0  | 539  | 1.9024          |
| 1.5883        | 12.0  | 588  | 1.8932          |


### Framework versions

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