---
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut_pdf_ocr
  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_pdf_ocr

This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0443

## 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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0829        | 1.0   | 47   | 0.1157          |
| 0.0184        | 2.0   | 94   | 0.1660          |
| 0.0533        | 3.0   | 141  | 0.0765          |
| 0.0765        | 4.0   | 188  | 0.0530          |
| 0.101         | 5.0   | 235  | 0.0481          |
| 0.0936        | 6.0   | 282  | 0.0494          |
| 0.1032        | 7.0   | 329  | 0.0524          |
| 0.0033        | 8.0   | 376  | 0.0460          |
| 0.0185        | 9.0   | 423  | 0.0440          |
| 0.0044        | 10.0  | 470  | 0.0443          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3